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Classpath","spark://73850a3d530b:41381/files/commons-io_commons-io-2.16.1.jar":"Added By User","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/netty-transport-native-epoll-4.1.96.Final-linux-x86_64.jar":"System Classpath","spark://73850a3d530b:41381/files/org.apache.httpcomponents.core5_httpcore5-h2-5.2.4.jar":"Added By User","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/parquet-encoding-1.13.1.jar":"System Classpath","spark://73850a3d530b:41381/files/org.roaringbitmap_RoaringBitmap-0.9.47.jar":"Added By User","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/jodd-core-3.5.2.jar":"System Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/spark-mesos_2.12-3.5.1.jar":"System Classpath","spark://73850a3d530b:41381/jars/org.apache.commons_commons-lang3-3.16.0.jar":"Added By User","spark://73850a3d530b:41381/files/com.google.guava_listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar":"Added By 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User","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/hive-serde-2.3.9.jar":"System Classpath","spark://73850a3d530b:41381/jars/com.clickhouse_clickhouse-jdbc-0.9.0.jar":"Added By User","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/netty-all-4.1.96.Final.jar":"System Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/orc-shims-1.9.2.jar":"System Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/audience-annotations-0.5.0.jar":"System Classpath","spark://73850a3d530b:41381/jars/com.google.guava_failureaccess-1.0.3.jar":"Added By User","spark://73850a3d530b:41381/files/org.roaringbitmap_shims-0.9.47.jar":"Added By User","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/curator-framework-2.13.0.jar":"System Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/hk2-locator-2.6.1.jar":"System 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Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/commons-codec-1.16.0.jar":"System Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/datasketches-memory-2.1.0.jar":"System Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/jline-2.14.6.jar":"System Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/jackson-module-scala_2.12-2.15.2.jar":"System Classpath","spark://73850a3d530b:41381/jars/com.clickhouse_jdbc-v2-0.9.0.jar":"Added By User","spark://73850a3d530b:41381/files/org.apache.commons_commons-lang3-3.16.0.jar":"Added By User","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/spark-unsafe_2.12-3.5.1.jar":"System Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/kubernetes-model-policy-6.7.2.jar":"System Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/transaction-api-1.1.jar":"System Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/log4j-slf4j2-impl-2.20.0.jar":"System Classpath"}} {"Event":"SparkListenerApplicationStart","App Name":"anazarenko_create_dm_ch","App ID":"app-20260717093042-0091","Timestamp":1784266241460,"User":"airflow"} {"Event":"SparkListenerExecutorAdded","Timestamp":1784266243910,"Executor ID":"0","Executor Info":{"Host":"172.28.0.49","Total Cores":5,"Log Urls":{"stdout":"http://172.28.0.49:8081/logPage/?appId=app-20260717093042-0091&executorId=0&logType=stdout","stderr":"http://172.28.0.49:8081/logPage/?appId=app-20260717093042-0091&executorId=0&logType=stderr"},"Attributes":{},"Resources":{},"Resource Profile Id":0,"Registration Time":1784266243910}} {"Event":"SparkListenerBlockManagerAdded","Block Manager ID":{"Executor ID":"0","Host":"172.28.0.49","Port":38427},"Maximum Memory":455501414,"Timestamp":1784266243955,"Maximum Onheap Memory":455501414,"Maximum Offheap Memory":0} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionStart","executionId":0,"rootExecutionId":0,"description":"showString at NativeMethodAccessorImpl.java:0","details":"org.apache.spark.sql.Dataset.showString(Dataset.scala:315)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (20)\n+- CollectLimit (19)\n +- HashAggregate (18)\n +- HashAggregate (17)\n +- HashAggregate (16)\n +- HashAggregate (15)\n +- SortMergeJoin LeftOuter (14)\n :- Sort (10)\n : +- Exchange (9)\n : +- Project (8)\n : +- SortMergeJoin Inner (7)\n : :- Sort (3)\n : : +- Exchange (2)\n : : +- Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (1)\n : +- Sort (6)\n : +- Exchange (5)\n : +- Scan JDBCRelation(core_dim_course) [numPartitions=1] (4)\n +- Sort (13)\n +- Exchange (12)\n +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (11)\n\n\n(1) Scan JDBCRelation(core_dim_lesson) [numPartitions=1] \nOutput [3]: [lesson_id#18, title#19, course_id#21]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(2) Exchange\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=41]\n\n(3) Sort\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(4) Scan JDBCRelation(core_dim_course) [numPartitions=1] \nOutput [2]: [course_id#10, title#11]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(5) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=42]\n\n(6) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(7) SortMergeJoin\nLeft keys [1]: [course_id#21]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(8) Project\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nInput [5]: [lesson_id#18, title#19, course_id#21, course_id#10, title#11]\n\n(9) Exchange\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=49]\n\n(10) Sort\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: [lesson_id#18 ASC NULLS FIRST], false, 0\n\n(11) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] \nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nPushedFilters: [*IsNotNull(lesson_id)]\nReadSchema: struct\n\n(12) Exchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=50]\n\n(13) Sort\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: [lesson_id#33 ASC NULLS FIRST], false, 0\n\n(14) SortMergeJoin\nLeft keys [1]: [lesson_id#18]\nRight keys [1]: [lesson_id#33]\nJoin type: LeftOuter\nJoin condition: None\n\n(15) HashAggregate\nInput [7]: [lesson_id#18, title#19, course_id#21, title#11, user_id#32, lesson_id#33, viewed_at#35]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(16) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(17) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\n\n(18) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [toprettystring(lesson_id#18, Some(Europe/Samara)) AS toprettystring(lesson_id)#253, toprettystring(title#19, Some(Europe/Samara)) AS toprettystring(lesson_title)#254, toprettystring(course_id#21, Some(Europe/Samara)) AS toprettystring(course_id)#255, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#256, toprettystring(count(lesson_id#33)#92L, Some(Europe/Samara)) AS toprettystring(total_views)#257, toprettystring(count(user_id#32)#99L, Some(Europe/Samara)) AS toprettystring(unique_users)#258, toprettystring(min(viewed_at#35)#95, Some(Europe/Samara)) AS toprettystring(first_view)#259, toprettystring(max(viewed_at#35)#97, Some(Europe/Samara)) AS toprettystring(last_view)#260]\n\n(19) CollectLimit\nInput [8]: [toprettystring(lesson_id)#253, toprettystring(lesson_title)#254, toprettystring(course_id)#255, toprettystring(course_title)#256, toprettystring(total_views)#257, toprettystring(unique_users)#258, toprettystring(first_view)#259, toprettystring(last_view)#260]\nArguments: 21\n\n(20) AdaptiveSparkPlan\nOutput [8]: [toprettystring(lesson_id)#253, toprettystring(lesson_title)#254, toprettystring(course_id)#255, toprettystring(course_title)#256, toprettystring(total_views)#257, toprettystring(unique_users)#258, toprettystring(first_view)#259, toprettystring(last_view)#260]\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"CollectLimit","simpleString":"CollectLimit 21","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21], functions=[count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21], functions=[merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21, user_id#32], functions=[merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21, user_id#32], functions=[partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)])","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [lesson_id#18], [lesson_id#33], LeftOuter","children":[{"nodeName":"Sort","simpleString":"Sort [lesson_id#18 ASC NULLS FIRST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=49]","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#18, title#19, course_id#21, title#11]","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [course_id#21], [course_id#10], Inner","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#21 ASC NULLS FIRST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=41]","children":[{"nodeName":"Scan JDBCRelation(core_dim_lesson) [numPartitions=1] ","simpleString":"Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [lesson_id#18,title#19,course_id#21] PushedFilters: [*IsNotNull(course_id)], ReadSchema: struct","children":[],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":99,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":97,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":91,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":98,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":92,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":89,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":86,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":95,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":88,"metricType":"sum"},{"name":"records read","accumulatorId":85,"metricType":"sum"},{"name":"local bytes read","accumulatorId":83,"metricType":"size"},{"name":"fetch wait time","accumulatorId":84,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":81,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":87,"metricType":"sum"},{"name":"local blocks read","accumulatorId":80,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":90,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":79,"metricType":"sum"},{"name":"data size","accumulatorId":77,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":93,"metricType":"size"},{"name":"number of partitions","accumulatorId":78,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":94,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":82,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":96,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":74,"metricType":"timing"},{"name":"peak memory","accumulatorId":75,"metricType":"size"},{"name":"spill size","accumulatorId":76,"metricType":"size"}]},{"nodeName":"Sort","simpleString":"Sort [course_id#10 ASC NULLS FIRST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=42]","children":[{"nodeName":"Scan JDBCRelation(core_dim_course) [numPartitions=1] ","simpleString":"Scan JDBCRelation(core_dim_course) [numPartitions=1] [course_id#10,title#11] PushedFilters: [*IsNotNull(course_id)], ReadSchema: struct","children":[],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":125,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":123,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":117,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":124,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":118,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":115,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":112,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":121,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":114,"metricType":"sum"},{"name":"records read","accumulatorId":111,"metricType":"sum"},{"name":"local bytes read","accumulatorId":109,"metricType":"size"},{"name":"fetch wait time","accumulatorId":110,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":107,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":113,"metricType":"sum"},{"name":"local blocks read","accumulatorId":106,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":116,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":105,"metricType":"sum"},{"name":"data size","accumulatorId":103,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":119,"metricType":"size"},{"name":"number of partitions","accumulatorId":104,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":120,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":108,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":122,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":100,"metricType":"timing"},{"name":"peak memory","accumulatorId":101,"metricType":"size"},{"name":"spill size","accumulatorId":102,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":72,"metricType":"sum"},{"name":"spill size","accumulatorId":73,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":70,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":64,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":71,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":65,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":62,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":59,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":68,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":61,"metricType":"sum"},{"name":"records read","accumulatorId":58,"metricType":"sum"},{"name":"local bytes read","accumulatorId":56,"metricType":"size"},{"name":"fetch wait time","accumulatorId":57,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":54,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":60,"metricType":"sum"},{"name":"local blocks read","accumulatorId":53,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":63,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":52,"metricType":"sum"},{"name":"data size","accumulatorId":50,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":66,"metricType":"size"},{"name":"number of partitions","accumulatorId":51,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":67,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":55,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":69,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":47,"metricType":"timing"},{"name":"peak memory","accumulatorId":48,"metricType":"size"},{"name":"spill size","accumulatorId":49,"metricType":"size"}]},{"nodeName":"Sort","simpleString":"Sort [lesson_id#33 ASC NULLS FIRST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=50]","children":[{"nodeName":"Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] ","simpleString":"Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [user_id#32,lesson_id#33,viewed_at#35] PushedFilters: [*IsNotNull(lesson_id)], ReadSchema: struct","children":[],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":151,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":149,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":143,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":150,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":144,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":141,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":138,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":147,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":140,"metricType":"sum"},{"name":"records read","accumulatorId":137,"metricType":"sum"},{"name":"local bytes read","accumulatorId":135,"metricType":"size"},{"name":"fetch wait time","accumulatorId":136,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":133,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":139,"metricType":"sum"},{"name":"local blocks read","accumulatorId":132,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":142,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":131,"metricType":"sum"},{"name":"data size","accumulatorId":129,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":145,"metricType":"size"},{"name":"number of partitions","accumulatorId":130,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":146,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":134,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":148,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":126,"metricType":"timing"},{"name":"peak memory","accumulatorId":127,"metricType":"size"},{"name":"spill size","accumulatorId":128,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":45,"metricType":"sum"},{"name":"spill size","accumulatorId":46,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":41,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":42,"metricType":"timing"},{"name":"peak memory","accumulatorId":40,"metricType":"size"},{"name":"number of output rows","accumulatorId":39,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":44,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":43,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":35,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":36,"metricType":"timing"},{"name":"peak memory","accumulatorId":34,"metricType":"size"},{"name":"number of output rows","accumulatorId":33,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":38,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":37,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":29,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":30,"metricType":"timing"},{"name":"peak memory","accumulatorId":28,"metricType":"size"},{"name":"number of output rows","accumulatorId":27,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":32,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":31,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":23,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":24,"metricType":"timing"},{"name":"peak memory","accumulatorId":22,"metricType":"size"},{"name":"number of output rows","accumulatorId":21,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":26,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":25,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":19,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":13,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":20,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":14,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":11,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":8,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":17,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":10,"metricType":"sum"},{"name":"records read","accumulatorId":7,"metricType":"sum"},{"name":"local bytes read","accumulatorId":5,"metricType":"size"},{"name":"fetch wait time","accumulatorId":6,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":3,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":9,"metricType":"sum"},{"name":"local blocks read","accumulatorId":2,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":12,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":1,"metricType":"sum"},{"name":"local merged bytes read","accumulatorId":15,"metricType":"size"},{"name":"remote reqs duration","accumulatorId":16,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":4,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":18,"metricType":"size"}]}],"metadata":{},"metrics":[]},"time":1784266244476,"modifiedConfigs":{},"jobTags":[]} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (39)\n+- == Current Plan ==\n CollectLimit (22)\n +- HashAggregate (21)\n +- HashAggregate (20)\n +- HashAggregate (19)\n +- HashAggregate (18)\n +- SortMergeJoin LeftOuter (17)\n :- Sort (12)\n : +- Exchange (11)\n : +- Project (10)\n : +- SortMergeJoin Inner (9)\n : :- Sort (4)\n : : +- ShuffleQueryStage (3)\n : : +- Exchange (2)\n : : +- * Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (1)\n : +- Sort (8)\n : +- ShuffleQueryStage (7)\n : +- Exchange (6)\n : +- * Scan JDBCRelation(core_dim_course) [numPartitions=1] (5)\n +- Sort (16)\n +- ShuffleQueryStage (15)\n +- Exchange (14)\n +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (13)\n+- == Initial Plan ==\n CollectLimit (38)\n +- HashAggregate (37)\n +- HashAggregate (36)\n +- HashAggregate (35)\n +- HashAggregate (34)\n +- SortMergeJoin LeftOuter (33)\n :- Sort (30)\n : +- Exchange (29)\n : +- Project (28)\n : +- SortMergeJoin Inner (27)\n : :- Sort (24)\n : : +- Exchange (23)\n : : +- Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (1)\n : +- Sort (26)\n : +- Exchange (25)\n : +- Scan JDBCRelation(core_dim_course) [numPartitions=1] (5)\n +- Sort (32)\n +- Exchange (31)\n +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (13)\n\n\n(1) Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [codegen id : 1]\nOutput [3]: [lesson_id#18, title#19, course_id#21]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(2) Exchange\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=76]\n\n(3) ShuffleQueryStage\nOutput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: 0\n\n(4) Sort\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(5) Scan JDBCRelation(core_dim_course) [numPartitions=1] [codegen id : 2]\nOutput [2]: [course_id#10, title#11]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(6) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=83]\n\n(7) ShuffleQueryStage\nOutput [2]: [course_id#10, title#11]\nArguments: 1\n\n(8) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(9) SortMergeJoin\nLeft keys [1]: [course_id#21]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(10) Project\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nInput [5]: [lesson_id#18, title#19, course_id#21, course_id#10, title#11]\n\n(11) Exchange\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=91]\n\n(12) Sort\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: [lesson_id#18 ASC NULLS FIRST], false, 0\n\n(13) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 3]\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nPushedFilters: [*IsNotNull(lesson_id)]\nReadSchema: struct\n\n(14) Exchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=97]\n\n(15) ShuffleQueryStage\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: 2\n\n(16) Sort\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: [lesson_id#33 ASC NULLS FIRST], false, 0\n\n(17) SortMergeJoin\nLeft keys [1]: [lesson_id#18]\nRight keys [1]: [lesson_id#33]\nJoin type: LeftOuter\nJoin condition: None\n\n(18) HashAggregate\nInput [7]: [lesson_id#18, title#19, course_id#21, title#11, user_id#32, lesson_id#33, viewed_at#35]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(19) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(20) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\n\n(21) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [toprettystring(lesson_id#18, Some(Europe/Samara)) AS toprettystring(lesson_id)#253, toprettystring(title#19, Some(Europe/Samara)) AS toprettystring(lesson_title)#254, toprettystring(course_id#21, Some(Europe/Samara)) AS toprettystring(course_id)#255, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#256, toprettystring(count(lesson_id#33)#92L, Some(Europe/Samara)) AS toprettystring(total_views)#257, toprettystring(count(user_id#32)#99L, Some(Europe/Samara)) AS toprettystring(unique_users)#258, toprettystring(min(viewed_at#35)#95, Some(Europe/Samara)) AS toprettystring(first_view)#259, toprettystring(max(viewed_at#35)#97, Some(Europe/Samara)) AS toprettystring(last_view)#260]\n\n(22) CollectLimit\nInput [8]: [toprettystring(lesson_id)#253, toprettystring(lesson_title)#254, toprettystring(course_id)#255, toprettystring(course_title)#256, toprettystring(total_views)#257, toprettystring(unique_users)#258, toprettystring(first_view)#259, toprettystring(last_view)#260]\nArguments: 21\n\n(23) Exchange\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=41]\n\n(24) Sort\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(25) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=42]\n\n(26) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(27) SortMergeJoin\nLeft keys [1]: [course_id#21]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(28) Project\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nInput [5]: [lesson_id#18, title#19, course_id#21, course_id#10, title#11]\n\n(29) Exchange\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=49]\n\n(30) Sort\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: [lesson_id#18 ASC NULLS FIRST], false, 0\n\n(31) Exchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=50]\n\n(32) Sort\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: [lesson_id#33 ASC NULLS FIRST], false, 0\n\n(33) SortMergeJoin\nLeft keys [1]: [lesson_id#18]\nRight keys [1]: [lesson_id#33]\nJoin type: LeftOuter\nJoin condition: None\n\n(34) HashAggregate\nInput [7]: [lesson_id#18, title#19, course_id#21, title#11, user_id#32, lesson_id#33, viewed_at#35]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(35) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(36) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\n\n(37) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [toprettystring(lesson_id#18, Some(Europe/Samara)) AS toprettystring(lesson_id)#253, toprettystring(title#19, Some(Europe/Samara)) AS toprettystring(lesson_title)#254, toprettystring(course_id#21, Some(Europe/Samara)) AS toprettystring(course_id)#255, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#256, toprettystring(count(lesson_id#33)#92L, Some(Europe/Samara)) AS toprettystring(total_views)#257, toprettystring(count(user_id#32)#99L, Some(Europe/Samara)) AS toprettystring(unique_users)#258, toprettystring(min(viewed_at#35)#95, Some(Europe/Samara)) AS toprettystring(first_view)#259, toprettystring(max(viewed_at#35)#97, Some(Europe/Samara)) AS toprettystring(last_view)#260]\n\n(38) CollectLimit\nInput [8]: [toprettystring(lesson_id)#253, toprettystring(lesson_title)#254, toprettystring(course_id)#255, toprettystring(course_title)#256, toprettystring(total_views)#257, toprettystring(unique_users)#258, toprettystring(first_view)#259, toprettystring(last_view)#260]\nArguments: 21\n\n(39) AdaptiveSparkPlan\nOutput [8]: [toprettystring(lesson_id)#253, toprettystring(lesson_title)#254, toprettystring(course_id)#255, toprettystring(course_title)#256, toprettystring(total_views)#257, toprettystring(unique_users)#258, toprettystring(first_view)#259, 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NativeMethodAccessorImpl.java:0","Parent IDs":[5],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":1,"Name":"JDBCRDD","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":5,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"4\",\"name\":\"WholeStageCodegen (2)\"}","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[1],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[],"Details":"org.apache.spark.sql.Dataset.showString(Dataset.scala:315)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784266244938,"Completion Time":1784266246068,"Accumulables":[{"ID":125,"Name":"number of output rows","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":254,"Name":"data 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{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (42)\n+- == Current Plan ==\n CollectLimit (25)\n +- HashAggregate (24)\n +- HashAggregate (23)\n +- HashAggregate (22)\n +- HashAggregate (21)\n +- SortMergeJoin LeftOuter (20)\n :- Sort (15)\n : +- ShuffleQueryStage (14)\n : +- Exchange (13)\n : +- * Project (12)\n : +- * SortMergeJoin Inner (11)\n : :- * Sort (5)\n : : +- AQEShuffleRead (4)\n : : +- ShuffleQueryStage (3), Statistics(sizeInBytes=1648.0 B, rowCount=18)\n : : +- Exchange (2)\n : : +- * Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (1)\n : +- * Sort (10)\n : +- AQEShuffleRead (9)\n : +- ShuffleQueryStage (8), Statistics(sizeInBytes=384.0 B, rowCount=5)\n : +- Exchange (7)\n : +- * Scan JDBCRelation(core_dim_course) [numPartitions=1] (6)\n +- Sort (19)\n +- ShuffleQueryStage (18)\n +- Exchange (17)\n +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (16)\n+- == Initial Plan ==\n CollectLimit (41)\n +- HashAggregate (40)\n +- HashAggregate (39)\n +- HashAggregate (38)\n +- HashAggregate (37)\n +- SortMergeJoin LeftOuter (36)\n :- Sort (33)\n : +- Exchange (32)\n : +- Project (31)\n : +- SortMergeJoin Inner (30)\n : :- Sort (27)\n : : +- Exchange (26)\n : : +- Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (1)\n : +- Sort (29)\n : +- Exchange (28)\n : +- Scan JDBCRelation(core_dim_course) [numPartitions=1] (6)\n +- Sort (35)\n +- Exchange (34)\n +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (16)\n\n\n(1) Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [codegen id : 1]\nOutput [3]: [lesson_id#18, title#19, course_id#21]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(2) Exchange\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=76]\n\n(3) ShuffleQueryStage\nOutput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: 0\n\n(4) AQEShuffleRead\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: coalesced\n\n(5) Sort [codegen id : 4]\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(6) Scan JDBCRelation(core_dim_course) [numPartitions=1] [codegen id : 2]\nOutput [2]: [course_id#10, title#11]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(7) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=83]\n\n(8) ShuffleQueryStage\nOutput [2]: [course_id#10, title#11]\nArguments: 1\n\n(9) AQEShuffleRead\nInput [2]: [course_id#10, title#11]\nArguments: coalesced\n\n(10) Sort [codegen id : 5]\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(11) SortMergeJoin [codegen id : 6]\nLeft keys [1]: [course_id#21]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(12) Project [codegen id : 6]\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nInput [5]: [lesson_id#18, title#19, course_id#21, course_id#10, title#11]\n\n(13) Exchange\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=229]\n\n(14) ShuffleQueryStage\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: 3\n\n(15) Sort\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: [lesson_id#18 ASC NULLS FIRST], false, 0\n\n(16) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 3]\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nPushedFilters: [*IsNotNull(lesson_id)]\nReadSchema: struct\n\n(17) Exchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=97]\n\n(18) ShuffleQueryStage\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: 2\n\n(19) Sort\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: [lesson_id#33 ASC NULLS FIRST], false, 0\n\n(20) SortMergeJoin\nLeft keys [1]: [lesson_id#18]\nRight keys [1]: [lesson_id#33]\nJoin type: LeftOuter\nJoin condition: None\n\n(21) HashAggregate\nInput [7]: [lesson_id#18, title#19, course_id#21, title#11, user_id#32, lesson_id#33, viewed_at#35]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(22) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(23) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\n\n(24) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [toprettystring(lesson_id#18, Some(Europe/Samara)) AS toprettystring(lesson_id)#253, toprettystring(title#19, Some(Europe/Samara)) AS toprettystring(lesson_title)#254, toprettystring(course_id#21, Some(Europe/Samara)) AS toprettystring(course_id)#255, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#256, toprettystring(count(lesson_id#33)#92L, Some(Europe/Samara)) AS toprettystring(total_views)#257, toprettystring(count(user_id#32)#99L, Some(Europe/Samara)) AS toprettystring(unique_users)#258, toprettystring(min(viewed_at#35)#95, Some(Europe/Samara)) AS toprettystring(first_view)#259, toprettystring(max(viewed_at#35)#97, Some(Europe/Samara)) AS toprettystring(last_view)#260]\n\n(25) CollectLimit\nInput [8]: [toprettystring(lesson_id)#253, toprettystring(lesson_title)#254, toprettystring(course_id)#255, toprettystring(course_title)#256, toprettystring(total_views)#257, toprettystring(unique_users)#258, toprettystring(first_view)#259, toprettystring(last_view)#260]\nArguments: 21\n\n(26) Exchange\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=41]\n\n(27) Sort\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(28) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=42]\n\n(29) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(30) SortMergeJoin\nLeft keys [1]: [course_id#21]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(31) Project\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nInput [5]: [lesson_id#18, title#19, course_id#21, course_id#10, title#11]\n\n(32) Exchange\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=49]\n\n(33) Sort\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: [lesson_id#18 ASC NULLS FIRST], false, 0\n\n(34) Exchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=50]\n\n(35) Sort\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: [lesson_id#33 ASC NULLS FIRST], false, 0\n\n(36) SortMergeJoin\nLeft keys [1]: [lesson_id#18]\nRight keys [1]: [lesson_id#33]\nJoin type: LeftOuter\nJoin condition: None\n\n(37) HashAggregate\nInput [7]: [lesson_id#18, title#19, course_id#21, title#11, user_id#32, lesson_id#33, viewed_at#35]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(38) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(39) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\n\n(40) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [toprettystring(lesson_id#18, Some(Europe/Samara)) AS toprettystring(lesson_id)#253, toprettystring(title#19, Some(Europe/Samara)) AS toprettystring(lesson_title)#254, toprettystring(course_id#21, Some(Europe/Samara)) AS toprettystring(course_id)#255, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#256, toprettystring(count(lesson_id#33)#92L, Some(Europe/Samara)) AS toprettystring(total_views)#257, toprettystring(count(user_id#32)#99L, Some(Europe/Samara)) AS toprettystring(unique_users)#258, toprettystring(min(viewed_at#35)#95, Some(Europe/Samara)) AS toprettystring(first_view)#259, toprettystring(max(viewed_at#35)#97, Some(Europe/Samara)) AS toprettystring(last_view)#260]\n\n(41) CollectLimit\nInput [8]: [toprettystring(lesson_id)#253, toprettystring(lesson_title)#254, toprettystring(course_id)#255, toprettystring(course_title)#256, toprettystring(total_views)#257, toprettystring(unique_users)#258, toprettystring(first_view)#259, toprettystring(last_view)#260]\nArguments: 21\n\n(42) AdaptiveSparkPlan\nOutput [8]: [toprettystring(lesson_id)#253, toprettystring(lesson_title)#254, toprettystring(course_id)#255, toprettystring(course_title)#256, toprettystring(total_views)#257, toprettystring(unique_users)#258, toprettystring(first_view)#259, 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IDs":[],"Details":"org.apache.spark.sql.Dataset.showString(Dataset.scala:315)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784266244963,"Completion Time":1784266246278,"Accumulables":[{"ID":151,"Name":"number of output rows","Value":"57","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":280,"Name":"data size","Value":"3648","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":299,"Name":"shuffle bytes written","Value":"2066","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":300,"Name":"shuffle records written","Value":"57","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":301,"Name":"shuffle write time","Value":"5345570","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":302,"Name":"duration","Value":"363","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":373,"Name":"internal.metrics.executorDeserializeTime","Value":327,"Internal":true,"Count Failed Values":true},{"ID":374,"Name":"internal.metrics.executorDeserializeCpuTime","Value":124952936,"Internal":true,"Count Failed Values":true},{"ID":375,"Name":"internal.metrics.executorRunTime","Value":951,"Internal":true,"Count Failed Values":true},{"ID":376,"Name":"internal.metrics.executorCpuTime","Value":496092723,"Internal":true,"Count Failed Values":true},{"ID":377,"Name":"internal.metrics.resultSize","Value":1983,"Internal":true,"Count Failed Values":true},{"ID":378,"Name":"internal.metrics.jvmGCTime","Value":13,"Internal":true,"Count Failed Values":true},{"ID":401,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":2066,"Internal":true,"Count Failed Values":true},{"ID":402,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":57,"Internal":true,"Count Failed Values":true},{"ID":403,"Name":"internal.metrics.shuffle.write.writeTime","Value":5345570,"Internal":true,"Count Failed Values":true},{"ID":405,"Name":"internal.metrics.input.recordsRead","Value":57,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}} {"Event":"SparkListenerJobEnd","Job ID":2,"Completion Time":1784266246280,"Job Result":{"Result":"JobSucceeded"}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (43)\n+- == Current Plan ==\n CollectLimit (26)\n +- HashAggregate (25)\n +- HashAggregate (24)\n +- HashAggregate (23)\n +- HashAggregate (22)\n +- BroadcastHashJoin LeftOuter BuildRight (21)\n :- ShuffleQueryStage (14)\n : +- Exchange (13)\n : +- * Project (12)\n : +- * SortMergeJoin Inner (11)\n : :- * Sort (5)\n : : +- AQEShuffleRead (4)\n : : +- ShuffleQueryStage (3), Statistics(sizeInBytes=1648.0 B, rowCount=18)\n : : +- Exchange (2)\n : : +- * Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (1)\n : +- * Sort (10)\n : +- AQEShuffleRead (9)\n : +- ShuffleQueryStage (8), Statistics(sizeInBytes=384.0 B, rowCount=5)\n : +- Exchange (7)\n : +- * Scan JDBCRelation(core_dim_course) [numPartitions=1] (6)\n +- BroadcastQueryStage (20)\n +- BroadcastExchange (19)\n +- AQEShuffleRead (18)\n +- ShuffleQueryStage (17), Statistics(sizeInBytes=3.6 KiB, rowCount=57)\n +- Exchange (16)\n +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (15)\n+- == Initial Plan ==\n CollectLimit (42)\n +- HashAggregate (41)\n +- HashAggregate (40)\n +- HashAggregate (39)\n +- HashAggregate (38)\n +- SortMergeJoin LeftOuter (37)\n :- Sort (34)\n : +- Exchange (33)\n : +- Project (32)\n : +- SortMergeJoin Inner (31)\n : :- Sort (28)\n : : +- Exchange (27)\n : : +- Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (1)\n : +- Sort (30)\n : +- Exchange (29)\n : +- Scan JDBCRelation(core_dim_course) [numPartitions=1] (6)\n +- Sort (36)\n +- Exchange (35)\n +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (15)\n\n\n(1) Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [codegen id : 1]\nOutput [3]: [lesson_id#18, title#19, course_id#21]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(2) Exchange\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=76]\n\n(3) ShuffleQueryStage\nOutput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: 0\n\n(4) AQEShuffleRead\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: coalesced\n\n(5) Sort [codegen id : 4]\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(6) Scan JDBCRelation(core_dim_course) [numPartitions=1] [codegen id : 2]\nOutput [2]: [course_id#10, title#11]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(7) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=83]\n\n(8) ShuffleQueryStage\nOutput [2]: [course_id#10, title#11]\nArguments: 1\n\n(9) AQEShuffleRead\nInput [2]: [course_id#10, title#11]\nArguments: coalesced\n\n(10) Sort [codegen id : 5]\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(11) SortMergeJoin [codegen id : 6]\nLeft keys [1]: [course_id#21]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(12) Project [codegen id : 6]\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nInput [5]: [lesson_id#18, title#19, course_id#21, course_id#10, title#11]\n\n(13) Exchange\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=229]\n\n(14) ShuffleQueryStage\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: 3\n\n(15) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 3]\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nPushedFilters: [*IsNotNull(lesson_id)]\nReadSchema: struct\n\n(16) Exchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=97]\n\n(17) ShuffleQueryStage\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: 2\n\n(18) AQEShuffleRead\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: local\n\n(19) BroadcastExchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: HashedRelationBroadcastMode(List(input[1, decimal(20,0), true]),false), [plan_id=284]\n\n(20) BroadcastQueryStage\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: 4\n\n(21) BroadcastHashJoin\nLeft keys [1]: [lesson_id#18]\nRight keys [1]: [lesson_id#33]\nJoin type: LeftOuter\nJoin condition: None\n\n(22) HashAggregate\nInput [7]: [lesson_id#18, title#19, course_id#21, title#11, user_id#32, lesson_id#33, viewed_at#35]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(23) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(24) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\n\n(25) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [toprettystring(lesson_id#18, Some(Europe/Samara)) AS toprettystring(lesson_id)#253, toprettystring(title#19, Some(Europe/Samara)) AS toprettystring(lesson_title)#254, toprettystring(course_id#21, Some(Europe/Samara)) AS toprettystring(course_id)#255, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#256, toprettystring(count(lesson_id#33)#92L, Some(Europe/Samara)) AS toprettystring(total_views)#257, toprettystring(count(user_id#32)#99L, Some(Europe/Samara)) AS toprettystring(unique_users)#258, toprettystring(min(viewed_at#35)#95, Some(Europe/Samara)) AS toprettystring(first_view)#259, toprettystring(max(viewed_at#35)#97, Some(Europe/Samara)) AS toprettystring(last_view)#260]\n\n(26) CollectLimit\nInput [8]: [toprettystring(lesson_id)#253, toprettystring(lesson_title)#254, toprettystring(course_id)#255, toprettystring(course_title)#256, toprettystring(total_views)#257, toprettystring(unique_users)#258, toprettystring(first_view)#259, toprettystring(last_view)#260]\nArguments: 21\n\n(27) Exchange\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=41]\n\n(28) Sort\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(29) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=42]\n\n(30) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(31) SortMergeJoin\nLeft keys [1]: [course_id#21]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(32) Project\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nInput [5]: [lesson_id#18, title#19, course_id#21, course_id#10, title#11]\n\n(33) Exchange\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=49]\n\n(34) Sort\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: [lesson_id#18 ASC NULLS FIRST], false, 0\n\n(35) Exchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=50]\n\n(36) Sort\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: [lesson_id#33 ASC NULLS FIRST], false, 0\n\n(37) SortMergeJoin\nLeft keys [1]: [lesson_id#18]\nRight keys [1]: [lesson_id#33]\nJoin type: LeftOuter\nJoin condition: None\n\n(38) HashAggregate\nInput [7]: [lesson_id#18, title#19, course_id#21, title#11, user_id#32, lesson_id#33, viewed_at#35]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(39) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(40) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\n\n(41) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [toprettystring(lesson_id#18, Some(Europe/Samara)) AS toprettystring(lesson_id)#253, toprettystring(title#19, Some(Europe/Samara)) AS toprettystring(lesson_title)#254, toprettystring(course_id#21, Some(Europe/Samara)) AS toprettystring(course_id)#255, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#256, toprettystring(count(lesson_id#33)#92L, Some(Europe/Samara)) AS toprettystring(total_views)#257, toprettystring(count(user_id#32)#99L, Some(Europe/Samara)) AS toprettystring(unique_users)#258, toprettystring(min(viewed_at#35)#95, Some(Europe/Samara)) AS toprettystring(first_view)#259, toprettystring(max(viewed_at#35)#97, Some(Europe/Samara)) AS toprettystring(last_view)#260]\n\n(42) CollectLimit\nInput [8]: [toprettystring(lesson_id)#253, toprettystring(lesson_title)#254, toprettystring(course_id)#255, toprettystring(course_title)#256, toprettystring(total_views)#257, toprettystring(unique_users)#258, toprettystring(first_view)#259, toprettystring(last_view)#260]\nArguments: 21\n\n(43) AdaptiveSparkPlan\nOutput [8]: [toprettystring(lesson_id)#253, toprettystring(lesson_title)#254, toprettystring(course_id)#255, toprettystring(course_title)#256, toprettystring(total_views)#257, toprettystring(unique_users)#258, toprettystring(first_view)#259, toprettystring(last_view)#260]\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"CollectLimit","simpleString":"CollectLimit 21","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21], functions=[count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21], functions=[merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21, user_id#32], functions=[merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21, user_id#32], functions=[partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)])","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [lesson_id#18], [lesson_id#33], LeftOuter, BuildRight, false","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 3","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=229]","children":[{"nodeName":"WholeStageCodegen (6)","simpleString":"WholeStageCodegen (6)","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#18, title#19, course_id#21, title#11]","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [course_id#21], [course_id#10], Inner","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"WholeStageCodegen (4)","simpleString":"WholeStageCodegen (4)","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#21 ASC NULLS FIRST], false, 0","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=76]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"Scan JDBCRelation(core_dim_lesson) [numPartitions=1] ","simpleString":"Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [lesson_id#18,title#19,course_id#21] PushedFilters: [*IsNotNull(course_id)], ReadSchema: struct","children":[],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":99,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":250,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":248,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":242,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":249,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":243,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":240,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":237,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":246,"metricType":"timing"},{"name":"remote 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Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}} {"Event":"SparkListenerJobEnd","Job ID":3,"Completion Time":1784266246595,"Job Result":{"Result":"JobSucceeded"}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (44)\n+- == Final Plan ==\n CollectLimit (27)\n +- * HashAggregate (26)\n +- * HashAggregate (25)\n +- * HashAggregate (24)\n +- * HashAggregate (23)\n +- * BroadcastHashJoin LeftOuter BuildRight (22)\n :- AQEShuffleRead (15)\n : +- ShuffleQueryStage (14), Statistics(sizeInBytes=2.4 KiB, rowCount=18)\n : +- Exchange (13)\n : +- * Project (12)\n : +- * SortMergeJoin Inner (11)\n : :- * Sort (5)\n : : +- AQEShuffleRead (4)\n : : +- ShuffleQueryStage (3), Statistics(sizeInBytes=1648.0 B, rowCount=18)\n : : +- Exchange (2)\n : : +- * Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (1)\n : +- * Sort (10)\n : +- AQEShuffleRead (9)\n : +- ShuffleQueryStage (8), Statistics(sizeInBytes=384.0 B, rowCount=5)\n : +- Exchange (7)\n : +- * Scan JDBCRelation(core_dim_course) [numPartitions=1] (6)\n +- BroadcastQueryStage (21), Statistics(sizeInBytes=2.0 MiB, rowCount=57)\n +- BroadcastExchange (20)\n +- AQEShuffleRead (19)\n +- ShuffleQueryStage (18), Statistics(sizeInBytes=3.6 KiB, rowCount=57)\n +- Exchange (17)\n +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (16)\n+- == Initial Plan ==\n CollectLimit (43)\n +- HashAggregate (42)\n +- HashAggregate (41)\n +- HashAggregate (40)\n +- HashAggregate (39)\n +- SortMergeJoin LeftOuter (38)\n :- Sort (35)\n : +- Exchange (34)\n : +- Project (33)\n : +- SortMergeJoin Inner (32)\n : :- Sort (29)\n : : +- Exchange (28)\n : : +- Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (1)\n : +- Sort (31)\n : +- Exchange (30)\n : +- Scan JDBCRelation(core_dim_course) [numPartitions=1] (6)\n +- Sort (37)\n +- Exchange (36)\n +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (16)\n\n\n(1) Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [codegen id : 1]\nOutput [3]: [lesson_id#18, title#19, course_id#21]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(2) Exchange\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=76]\n\n(3) ShuffleQueryStage\nOutput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: 0\n\n(4) AQEShuffleRead\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: coalesced\n\n(5) Sort [codegen id : 4]\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(6) Scan JDBCRelation(core_dim_course) [numPartitions=1] [codegen id : 2]\nOutput [2]: [course_id#10, title#11]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(7) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=83]\n\n(8) ShuffleQueryStage\nOutput [2]: [course_id#10, title#11]\nArguments: 1\n\n(9) AQEShuffleRead\nInput [2]: [course_id#10, title#11]\nArguments: coalesced\n\n(10) Sort [codegen id : 5]\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(11) SortMergeJoin [codegen id : 6]\nLeft keys [1]: [course_id#21]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(12) Project [codegen id : 6]\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nInput [5]: [lesson_id#18, title#19, course_id#21, course_id#10, title#11]\n\n(13) Exchange\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=229]\n\n(14) ShuffleQueryStage\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: 3\n\n(15) AQEShuffleRead\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: local\n\n(16) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 3]\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nPushedFilters: [*IsNotNull(lesson_id)]\nReadSchema: struct\n\n(17) Exchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=97]\n\n(18) ShuffleQueryStage\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: 2\n\n(19) AQEShuffleRead\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: local\n\n(20) BroadcastExchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: HashedRelationBroadcastMode(List(input[1, decimal(20,0), true]),false), [plan_id=284]\n\n(21) BroadcastQueryStage\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: 4\n\n(22) BroadcastHashJoin [codegen id : 7]\nLeft keys [1]: [lesson_id#18]\nRight keys [1]: [lesson_id#33]\nJoin type: LeftOuter\nJoin condition: None\n\n(23) HashAggregate [codegen id : 7]\nInput [7]: [lesson_id#18, title#19, course_id#21, title#11, user_id#32, lesson_id#33, viewed_at#35]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(24) HashAggregate [codegen id : 7]\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(25) HashAggregate [codegen id : 7]\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\n\n(26) HashAggregate [codegen id : 7]\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [toprettystring(lesson_id#18, Some(Europe/Samara)) AS toprettystring(lesson_id)#253, toprettystring(title#19, Some(Europe/Samara)) AS toprettystring(lesson_title)#254, toprettystring(course_id#21, Some(Europe/Samara)) AS toprettystring(course_id)#255, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#256, toprettystring(count(lesson_id#33)#92L, Some(Europe/Samara)) AS toprettystring(total_views)#257, toprettystring(count(user_id#32)#99L, Some(Europe/Samara)) AS toprettystring(unique_users)#258, toprettystring(min(viewed_at#35)#95, Some(Europe/Samara)) AS toprettystring(first_view)#259, toprettystring(max(viewed_at#35)#97, Some(Europe/Samara)) AS toprettystring(last_view)#260]\n\n(27) CollectLimit\nInput [8]: [toprettystring(lesson_id)#253, toprettystring(lesson_title)#254, toprettystring(course_id)#255, toprettystring(course_title)#256, toprettystring(total_views)#257, toprettystring(unique_users)#258, toprettystring(first_view)#259, toprettystring(last_view)#260]\nArguments: 21\n\n(28) Exchange\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=41]\n\n(29) Sort\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(30) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=42]\n\n(31) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(32) SortMergeJoin\nLeft keys [1]: [course_id#21]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(33) Project\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nInput [5]: [lesson_id#18, title#19, course_id#21, course_id#10, title#11]\n\n(34) Exchange\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=49]\n\n(35) Sort\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: [lesson_id#18 ASC NULLS FIRST], false, 0\n\n(36) Exchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=50]\n\n(37) Sort\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: [lesson_id#33 ASC NULLS FIRST], false, 0\n\n(38) SortMergeJoin\nLeft keys [1]: [lesson_id#18]\nRight keys [1]: [lesson_id#33]\nJoin type: LeftOuter\nJoin condition: None\n\n(39) HashAggregate\nInput [7]: [lesson_id#18, title#19, course_id#21, title#11, user_id#32, lesson_id#33, viewed_at#35]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(40) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(41) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\n\n(42) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [toprettystring(lesson_id#18, Some(Europe/Samara)) AS toprettystring(lesson_id)#253, toprettystring(title#19, Some(Europe/Samara)) AS toprettystring(lesson_title)#254, toprettystring(course_id#21, Some(Europe/Samara)) AS toprettystring(course_id)#255, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#256, toprettystring(count(lesson_id#33)#92L, Some(Europe/Samara)) AS toprettystring(total_views)#257, toprettystring(count(user_id#32)#99L, Some(Europe/Samara)) AS toprettystring(unique_users)#258, toprettystring(min(viewed_at#35)#95, Some(Europe/Samara)) AS toprettystring(first_view)#259, toprettystring(max(viewed_at#35)#97, Some(Europe/Samara)) AS toprettystring(last_view)#260]\n\n(43) CollectLimit\nInput [8]: [toprettystring(lesson_id)#253, toprettystring(lesson_title)#254, toprettystring(course_id)#255, toprettystring(course_title)#256, toprettystring(total_views)#257, toprettystring(unique_users)#258, toprettystring(first_view)#259, toprettystring(last_view)#260]\nArguments: 21\n\n(44) AdaptiveSparkPlan\nOutput [8]: [toprettystring(lesson_id)#253, toprettystring(lesson_title)#254, toprettystring(course_id)#255, toprettystring(course_title)#256, toprettystring(total_views)#257, toprettystring(unique_users)#258, toprettystring(first_view)#259, toprettystring(last_view)#260]\nArguments: isFinalPlan=true\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=true","children":[{"nodeName":"CollectLimit","simpleString":"CollectLimit 21","children":[{"nodeName":"WholeStageCodegen (7)","simpleString":"WholeStageCodegen (7)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21], functions=[count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21], functions=[merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21, user_id#32], functions=[merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21, user_id#32], functions=[partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)])","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [lesson_id#18], [lesson_id#33], LeftOuter, BuildRight, false","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead local","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 3","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=229]","children":[{"nodeName":"WholeStageCodegen (6)","simpleString":"WholeStageCodegen (6)","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#18, title#19, course_id#21, title#11]","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [course_id#21], [course_id#10], 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struct","children":[],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":99,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":250,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":248,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":242,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":249,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":243,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":240,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":237,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":246,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":239,"metricType":"sum"},{"name":"records read","accumulatorId":236,"metricType":"sum"},{"name":"local bytes read","accumulatorId":234,"metricType":"size"},{"name":"fetch wait time","accumulatorId":235,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":232,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":238,"metricType":"sum"},{"name":"local blocks read","accumulatorId":231,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":241,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":230,"metricType":"sum"},{"name":"data size","accumulatorId":228,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":244,"metricType":"size"},{"name":"number of partitions","accumulatorId":229,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":245,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":233,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":247,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of partitions","accumulatorId":486,"metricType":"sum"},{"name":"partition data size","accumulatorId":487,"metricType":"size"},{"name":"number of coalesced partitions","accumulatorId":488,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":483,"metricType":"timing"},{"name":"peak memory","accumulatorId":484,"metricType":"size"},{"name":"spill size","accumulatorId":485,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":482,"metricType":"timing"}]}],"metadata":{},"metrics":[]},{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"WholeStageCodegen (5)","simpleString":"WholeStageCodegen (5)","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#10 ASC NULLS FIRST], false, 0","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 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NativeMethodAccessorImpl.java:0","details":"org.apache.spark.sql.Dataset.showString(Dataset.scala:315)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (22)\n+- CollectLimit (21)\n +- Project (20)\n +- SortMergeJoin LeftOuter (19)\n :- LocalLimit (10)\n : +- SortMergeJoin LeftAnti (9)\n : :- Sort (3)\n : : +- Exchange (2)\n : : +- Scan JDBCRelation(core_dim_user) [numPartitions=1] (1)\n : +- Sort (8)\n : +- HashAggregate (7)\n : +- Exchange (6)\n : +- HashAggregate (5)\n : +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (4)\n +- Sort (18)\n +- HashAggregate (17)\n +- Exchange (16)\n +- HashAggregate (15)\n +- HashAggregate (14)\n +- Exchange (13)\n +- HashAggregate (12)\n +- Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (11)\n\n\n(1) Scan JDBCRelation(core_dim_user) [numPartitions=1] \nOutput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nReadSchema: struct\n\n(2) Exchange\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=406]\n\n(3) Sort\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(4) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] \nOutput [1]: [user_id#32]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(5) HashAggregate\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(6) Exchange\nInput [1]: [user_id#32]\nArguments: hashpartitioning(user_id#32, 200), ENSURE_REQUIREMENTS, [plan_id=402]\n\n(7) HashAggregate\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(8) Sort\nInput [1]: [user_id#32]\nArguments: [user_id#32 ASC NULLS FIRST], false, 0\n\n(9) SortMergeJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#32]\nJoin type: LeftAnti\nJoin condition: None\n\n(10) LocalLimit\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: 21\n\n(11) Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] \nOutput [2]: [user_id#26, course_id#27]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(12) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(13) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=411]\n\n(14) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(15) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [1]: [user_id#26]\nFunctions [1]: [partial_count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count#318L]\n\n(16) Exchange\nInput [2]: [user_id#26, count#318L]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=415]\n\n(17) HashAggregate\nInput [2]: [user_id#26, count#318L]\nKeys [1]: [user_id#26]\nFunctions [1]: [count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count(course_id#27)#128L AS registered_courses_count#127L]\n\n(18) Sort\nInput [2]: [user_id#26, registered_courses_count#127L]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(19) SortMergeJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#26]\nJoin type: LeftOuter\nJoin condition: None\n\n(20) Project\nOutput [6]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#304, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(name)#305, toprettystring(email#3, Some(Europe/Samara)) AS toprettystring(email)#306, toprettystring(age#2, Some(Europe/Samara)) AS toprettystring(age)#307, toprettystring(coalesce(registered_courses_count#127L, 0), Some(Europe/Samara)) AS toprettystring(registered_courses_count)#308, toprettystring(registration_date#4, Some(Europe/Samara)) AS toprettystring(registration_date)#309]\nInput [7]: [user_id#0, name#1, age#2, email#3, registration_date#4, user_id#26, registered_courses_count#127L]\n\n(21) CollectLimit\nInput [6]: [toprettystring(user_id)#304, toprettystring(name)#305, toprettystring(email)#306, toprettystring(age)#307, toprettystring(registered_courses_count)#308, toprettystring(registration_date)#309]\nArguments: 21\n\n(22) AdaptiveSparkPlan\nOutput [6]: [toprettystring(user_id)#304, toprettystring(name)#305, toprettystring(email)#306, toprettystring(age)#307, toprettystring(registered_courses_count)#308, toprettystring(registration_date)#309]\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"CollectLimit","simpleString":"CollectLimit 21","children":[{"nodeName":"Project","simpleString":"Project [toprettystring(user_id#0, Some(Europe/Samara)) AS 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LocalLimit (12)\n : +- SortMergeJoin LeftAnti (11)\n : :- Sort (4)\n : : +- ShuffleQueryStage (3)\n : : +- Exchange (2)\n : : +- * Scan JDBCRelation(core_dim_user) [numPartitions=1] (1)\n : +- Sort (10)\n : +- HashAggregate (9)\n : +- ShuffleQueryStage (8)\n : +- Exchange (7)\n : +- * HashAggregate (6)\n : +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (5)\n +- Sort (21)\n +- HashAggregate (20)\n +- Exchange (19)\n +- HashAggregate (18)\n +- HashAggregate (17)\n +- ShuffleQueryStage (16)\n +- Exchange (15)\n +- * HashAggregate (14)\n +- * Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (13)\n+- == Initial Plan ==\n CollectLimit (40)\n +- Project (39)\n +- SortMergeJoin LeftOuter (38)\n :- LocalLimit (31)\n : +- SortMergeJoin LeftAnti (30)\n : :- Sort (26)\n : : +- Exchange (25)\n : : +- Scan JDBCRelation(core_dim_user) [numPartitions=1] (1)\n : +- Sort (29)\n : +- HashAggregate (28)\n : +- Exchange (27)\n : +- HashAggregate (6)\n : +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (5)\n +- Sort (37)\n +- HashAggregate (36)\n +- Exchange (35)\n +- HashAggregate (34)\n +- HashAggregate (33)\n +- Exchange (32)\n +- HashAggregate (14)\n +- Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (13)\n\n\n(1) Scan JDBCRelation(core_dim_user) [numPartitions=1] [codegen id : 1]\nOutput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nReadSchema: struct\n\n(2) Exchange\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=427]\n\n(3) ShuffleQueryStage\nOutput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: 0\n\n(4) Sort\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(5) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 2]\nOutput [1]: [user_id#32]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(6) HashAggregate [codegen id : 2]\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(7) Exchange\nInput [1]: [user_id#32]\nArguments: hashpartitioning(user_id#32, 200), ENSURE_REQUIREMENTS, [plan_id=439]\n\n(8) ShuffleQueryStage\nOutput [1]: [user_id#32]\nArguments: 1\n\n(9) HashAggregate\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(10) Sort\nInput [1]: [user_id#32]\nArguments: [user_id#32 ASC NULLS FIRST], false, 0\n\n(11) SortMergeJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#32]\nJoin type: LeftAnti\nJoin condition: None\n\n(12) LocalLimit\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: 21\n\n(13) Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] [codegen id : 3]\nOutput [2]: [user_id#26, course_id#27]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(14) HashAggregate [codegen id : 3]\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(15) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=460]\n\n(16) ShuffleQueryStage\nOutput [2]: [user_id#26, course_id#27]\nArguments: 2\n\n(17) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(18) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [1]: [user_id#26]\nFunctions [1]: [partial_count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count#318L]\n\n(19) Exchange\nInput [2]: [user_id#26, count#318L]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=467]\n\n(20) HashAggregate\nInput [2]: [user_id#26, count#318L]\nKeys [1]: [user_id#26]\nFunctions [1]: [count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count(course_id#27)#128L AS registered_courses_count#127L]\n\n(21) Sort\nInput [2]: [user_id#26, registered_courses_count#127L]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(22) SortMergeJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#26]\nJoin type: LeftOuter\nJoin condition: None\n\n(23) Project\nOutput [6]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#304, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(name)#305, toprettystring(email#3, Some(Europe/Samara)) AS toprettystring(email)#306, toprettystring(age#2, Some(Europe/Samara)) AS toprettystring(age)#307, toprettystring(coalesce(registered_courses_count#127L, 0), Some(Europe/Samara)) AS toprettystring(registered_courses_count)#308, toprettystring(registration_date#4, Some(Europe/Samara)) AS toprettystring(registration_date)#309]\nInput [7]: [user_id#0, name#1, age#2, email#3, registration_date#4, user_id#26, registered_courses_count#127L]\n\n(24) CollectLimit\nInput [6]: [toprettystring(user_id)#304, toprettystring(name)#305, toprettystring(email)#306, toprettystring(age)#307, toprettystring(registered_courses_count)#308, toprettystring(registration_date)#309]\nArguments: 21\n\n(25) Exchange\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=406]\n\n(26) Sort\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(27) Exchange\nInput [1]: [user_id#32]\nArguments: hashpartitioning(user_id#32, 200), ENSURE_REQUIREMENTS, [plan_id=402]\n\n(28) HashAggregate\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(29) Sort\nInput [1]: [user_id#32]\nArguments: [user_id#32 ASC NULLS FIRST], false, 0\n\n(30) SortMergeJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#32]\nJoin type: LeftAnti\nJoin condition: None\n\n(31) LocalLimit\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: 21\n\n(32) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=411]\n\n(33) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(34) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [1]: [user_id#26]\nFunctions [1]: [partial_count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count#318L]\n\n(35) Exchange\nInput [2]: [user_id#26, count#318L]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=415]\n\n(36) HashAggregate\nInput [2]: [user_id#26, count#318L]\nKeys [1]: [user_id#26]\nFunctions [1]: [count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count(course_id#27)#128L AS registered_courses_count#127L]\n\n(37) Sort\nInput [2]: [user_id#26, registered_courses_count#127L]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(38) SortMergeJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#26]\nJoin type: LeftOuter\nJoin condition: None\n\n(39) Project\nOutput [6]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#304, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(name)#305, toprettystring(email#3, Some(Europe/Samara)) AS toprettystring(email)#306, toprettystring(age#2, Some(Europe/Samara)) AS toprettystring(age)#307, toprettystring(coalesce(registered_courses_count#127L, 0), Some(Europe/Samara)) AS toprettystring(registered_courses_count)#308, toprettystring(registration_date#4, Some(Europe/Samara)) AS toprettystring(registration_date)#309]\nInput [7]: [user_id#0, name#1, age#2, email#3, registration_date#4, user_id#26, registered_courses_count#127L]\n\n(40) CollectLimit\nInput [6]: [toprettystring(user_id)#304, toprettystring(name)#305, toprettystring(email)#306, toprettystring(age)#307, toprettystring(registered_courses_count)#308, toprettystring(registration_date)#309]\nArguments: 21\n\n(41) AdaptiveSparkPlan\nOutput [6]: [toprettystring(user_id)#304, toprettystring(name)#305, toprettystring(email)#306, toprettystring(age)#307, toprettystring(registered_courses_count)#308, toprettystring(registration_date)#309]\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"CollectLimit","simpleString":"CollectLimit 21","children":[{"nodeName":"Project","simpleString":"Project [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#304, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(name)#305, toprettystring(email#3, Some(Europe/Samara)) AS toprettystring(email)#306, toprettystring(age#2, Some(Europe/Samara)) AS toprettystring(age)#307, toprettystring(coalesce(registered_courses_count#127L, 0), Some(Europe/Samara)) AS toprettystring(registered_courses_count)#308, toprettystring(registration_date#4, Some(Europe/Samara)) AS toprettystring(registration_date)#309]","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [user_id#0], [user_id#26], LeftOuter","children":[{"nodeName":"LocalLimit","simpleString":"LocalLimit 21","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [user_id#0], [user_id#32], 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Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":26,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"61\",\"name\":\"WholeStageCodegen (2)\"}","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[22],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":22,"Name":"JDBCRDD","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[],"Details":"org.apache.spark.sql.Dataset.showString(Dataset.scala:315)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784266247728,"Completion Time":1784266247867,"Accumulables":[{"ID":783,"Name":"number of output rows","Value":"11","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":784,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":786,"Name":"time in aggregation build","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":789,"Name":"number of output rows","Value":"57","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":921,"Name":"data size","Value":"352","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":940,"Name":"shuffle bytes written","Value":"777","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":941,"Name":"shuffle records written","Value":"11","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":942,"Name":"shuffle write time","Value":"5349219","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":943,"Name":"duration","Value":"26","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1045,"Name":"internal.metrics.executorDeserializeTime","Value":20,"Internal":true,"Count Failed Values":true},{"ID":1046,"Name":"internal.metrics.executorDeserializeCpuTime","Value":9440072,"Internal":true,"Count Failed Values":true},{"ID":1047,"Name":"internal.metrics.executorRunTime","Value":101,"Internal":true,"Count Failed Values":true},{"ID":1048,"Name":"internal.metrics.executorCpuTime","Value":65465138,"Internal":true,"Count Failed Values":true},{"ID":1049,"Name":"internal.metrics.resultSize","Value":2442,"Internal":true,"Count Failed Values":true},{"ID":1054,"Name":"internal.metrics.peakExecutionMemory","Value":262144,"Internal":true,"Count Failed Values":true},{"ID":1073,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":777,"Internal":true,"Count Failed Values":true},{"ID":1074,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":11,"Internal":true,"Count Failed Values":true},{"ID":1075,"Name":"internal.metrics.shuffle.write.writeTime","Value":5349219,"Internal":true,"Count Failed Values":true},{"ID":1077,"Name":"internal.metrics.input.recordsRead","Value":57,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}} {"Event":"SparkListenerJobEnd","Job ID":7,"Completion Time":1784266247868,"Job Result":{"Result":"JobSucceeded"}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":1,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (43)\n+- == Current Plan ==\n CollectLimit (26)\n +- Project (25)\n +- SortMergeJoin LeftOuter (24)\n :- Sort (14)\n : +- LocalLimit (13)\n : +- BroadcastHashJoin LeftAnti BuildRight (12)\n : :- ShuffleQueryStage (3), Statistics(sizeInBytes=1760.0 B, rowCount=20)\n : : +- Exchange (2)\n : : +- * Scan JDBCRelation(core_dim_user) [numPartitions=1] (1)\n : +- BroadcastQueryStage (11)\n : +- BroadcastExchange (10)\n : +- * HashAggregate (9)\n : +- AQEShuffleRead (8)\n : +- ShuffleQueryStage (7), Statistics(sizeInBytes=352.0 B, rowCount=11)\n : +- Exchange (6)\n : +- * HashAggregate (5)\n : +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (4)\n +- Sort (23)\n +- HashAggregate (22)\n +- Exchange (21)\n +- HashAggregate (20)\n +- HashAggregate (19)\n +- ShuffleQueryStage (18)\n +- Exchange (17)\n +- * HashAggregate (16)\n +- * Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (15)\n+- == Initial Plan ==\n CollectLimit (42)\n +- Project (41)\n +- SortMergeJoin LeftOuter (40)\n :- LocalLimit (33)\n : +- SortMergeJoin LeftAnti (32)\n : :- Sort (28)\n : : +- Exchange (27)\n : : +- Scan JDBCRelation(core_dim_user) [numPartitions=1] (1)\n : +- Sort (31)\n : +- HashAggregate (30)\n : +- Exchange (29)\n : +- HashAggregate (5)\n : +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (4)\n +- Sort (39)\n +- HashAggregate (38)\n +- Exchange (37)\n +- HashAggregate (36)\n +- HashAggregate (35)\n +- Exchange (34)\n +- HashAggregate (16)\n +- Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (15)\n\n\n(1) Scan JDBCRelation(core_dim_user) [numPartitions=1] [codegen id : 1]\nOutput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nReadSchema: struct\n\n(2) Exchange\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=427]\n\n(3) ShuffleQueryStage\nOutput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: 0\n\n(4) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 2]\nOutput [1]: [user_id#32]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(5) HashAggregate [codegen id : 2]\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(6) Exchange\nInput [1]: [user_id#32]\nArguments: hashpartitioning(user_id#32, 200), ENSURE_REQUIREMENTS, [plan_id=439]\n\n(7) ShuffleQueryStage\nOutput [1]: [user_id#32]\nArguments: 1\n\n(8) AQEShuffleRead\nInput [1]: [user_id#32]\nArguments: coalesced\n\n(9) HashAggregate [codegen id : 4]\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(10) BroadcastExchange\nInput [1]: [user_id#32]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), true]),false), [plan_id=547]\n\n(11) BroadcastQueryStage\nOutput [1]: [user_id#32]\nArguments: 3\n\n(12) BroadcastHashJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#32]\nJoin type: LeftAnti\nJoin condition: None\n\n(13) LocalLimit\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: 21\n\n(14) Sort\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(15) Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] [codegen id : 3]\nOutput [2]: [user_id#26, course_id#27]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(16) HashAggregate [codegen id : 3]\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(17) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=460]\n\n(18) ShuffleQueryStage\nOutput [2]: [user_id#26, course_id#27]\nArguments: 2\n\n(19) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(20) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [1]: [user_id#26]\nFunctions [1]: [partial_count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count#318L]\n\n(21) Exchange\nInput [2]: [user_id#26, count#318L]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=467]\n\n(22) HashAggregate\nInput [2]: [user_id#26, count#318L]\nKeys [1]: [user_id#26]\nFunctions [1]: [count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count(course_id#27)#128L AS registered_courses_count#127L]\n\n(23) Sort\nInput [2]: [user_id#26, registered_courses_count#127L]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(24) SortMergeJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#26]\nJoin type: LeftOuter\nJoin condition: None\n\n(25) Project\nOutput [6]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#304, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(name)#305, toprettystring(email#3, Some(Europe/Samara)) AS toprettystring(email)#306, toprettystring(age#2, Some(Europe/Samara)) AS toprettystring(age)#307, toprettystring(coalesce(registered_courses_count#127L, 0), Some(Europe/Samara)) AS toprettystring(registered_courses_count)#308, toprettystring(registration_date#4, Some(Europe/Samara)) AS toprettystring(registration_date)#309]\nInput [7]: [user_id#0, name#1, age#2, email#3, registration_date#4, user_id#26, registered_courses_count#127L]\n\n(26) CollectLimit\nInput [6]: [toprettystring(user_id)#304, toprettystring(name)#305, toprettystring(email)#306, toprettystring(age)#307, toprettystring(registered_courses_count)#308, toprettystring(registration_date)#309]\nArguments: 21\n\n(27) Exchange\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=406]\n\n(28) Sort\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(29) Exchange\nInput [1]: [user_id#32]\nArguments: hashpartitioning(user_id#32, 200), ENSURE_REQUIREMENTS, [plan_id=402]\n\n(30) HashAggregate\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(31) Sort\nInput [1]: [user_id#32]\nArguments: [user_id#32 ASC NULLS FIRST], false, 0\n\n(32) SortMergeJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#32]\nJoin type: LeftAnti\nJoin condition: None\n\n(33) LocalLimit\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: 21\n\n(34) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=411]\n\n(35) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(36) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [1]: [user_id#26]\nFunctions [1]: [partial_count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count#318L]\n\n(37) Exchange\nInput [2]: [user_id#26, count#318L]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=415]\n\n(38) HashAggregate\nInput [2]: [user_id#26, count#318L]\nKeys [1]: [user_id#26]\nFunctions [1]: [count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count(course_id#27)#128L AS registered_courses_count#127L]\n\n(39) Sort\nInput [2]: [user_id#26, registered_courses_count#127L]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(40) SortMergeJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#26]\nJoin type: LeftOuter\nJoin condition: None\n\n(41) Project\nOutput [6]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#304, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(name)#305, toprettystring(email#3, Some(Europe/Samara)) AS toprettystring(email)#306, toprettystring(age#2, Some(Europe/Samara)) AS toprettystring(age)#307, toprettystring(coalesce(registered_courses_count#127L, 0), Some(Europe/Samara)) AS toprettystring(registered_courses_count)#308, toprettystring(registration_date#4, Some(Europe/Samara)) AS toprettystring(registration_date)#309]\nInput [7]: [user_id#0, name#1, age#2, email#3, registration_date#4, user_id#26, registered_courses_count#127L]\n\n(42) CollectLimit\nInput [6]: [toprettystring(user_id)#304, toprettystring(name)#305, toprettystring(email)#306, toprettystring(age)#307, toprettystring(registered_courses_count)#308, toprettystring(registration_date)#309]\nArguments: 21\n\n(43) AdaptiveSparkPlan\nOutput [6]: [toprettystring(user_id)#304, toprettystring(name)#305, toprettystring(email)#306, toprettystring(age)#307, toprettystring(registered_courses_count)#308, toprettystring(registration_date)#309]\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"CollectLimit","simpleString":"CollectLimit 21","children":[{"nodeName":"Project","simpleString":"Project [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#304, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(name)#305, toprettystring(email#3, Some(Europe/Samara)) AS toprettystring(email)#306, toprettystring(age#2, Some(Europe/Samara)) AS toprettystring(age)#307, toprettystring(coalesce(registered_courses_count#127L, 0), Some(Europe/Samara)) AS toprettystring(registered_courses_count)#308, toprettystring(registration_date#4, Some(Europe/Samara)) AS toprettystring(registration_date)#309]","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [user_id#0], [user_id#26], LeftOuter","children":[{"nodeName":"Sort","simpleString":"Sort [user_id#0 ASC NULLS FIRST], false, 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Count":0},"Properties":{"spark.driver.port":"41381","spark.submit.pyFiles":"/home/airflow/.ivy2/jars/com.clickhouse_clickhouse-jdbc-0.9.0.jar,/home/airflow/.ivy2/jars/com.clickhouse_clickhouse-client-0.9.0.jar,/home/airflow/.ivy2/jars/com.clickhouse_clickhouse-data-0.9.0.jar,/home/airflow/.ivy2/jars/com.clickhouse_clickhouse-http-client-0.9.0.jar,/home/airflow/.ivy2/jars/org.apache.httpcomponents.client5_httpclient5-5.3.1.jar,/home/airflow/.ivy2/jars/org.apache.httpcomponents.core5_httpcore5-5.2.4.jar,/home/airflow/.ivy2/jars/org.apache.httpcomponents.core5_httpcore5-h2-5.2.4.jar,/home/airflow/.ivy2/jars/org.apache.commons_commons-compress-1.27.1.jar,/home/airflow/.ivy2/jars/commons-codec_commons-codec-1.17.1.jar,/home/airflow/.ivy2/jars/commons-io_commons-io-2.16.1.jar,/home/airflow/.ivy2/jars/org.apache.commons_commons-lang3-3.16.0.jar,/home/airflow/.ivy2/jars/com.clickhouse_jdbc-v2-0.9.0.jar,/home/airflow/.ivy2/jars/com.clickhouse_client-v2-0.9.0.jar,/home/airflow/.ivy2/jars/org.roaringbitmap_RoaringBitmap-0.9.47.jar,/home/airflow/.ivy2/jars/org.ow2.asm_asm-9.7.jar,/home/airflow/.ivy2/jars/org.antlr_antlr4-runtime-4.13.2.jar,/home/airflow/.ivy2/jars/com.google.guava_guava-33.4.6-jre.jar,/home/airflow/.ivy2/jars/com.google.guava_failureaccess-1.0.3.jar,/home/airflow/.ivy2/jars/com.google.guava_listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar,/home/airflow/.ivy2/jars/org.jspecify_jspecify-1.0.0.jar,/home/airflow/.ivy2/jars/com.google.errorprone_error_prone_annotations-2.36.0.jar,/home/airflow/.ivy2/jars/com.google.j2objc_j2objc-annotations-3.0.0.jar,/home/airflow/.ivy2/jars/org.lz4_lz4-java-1.8.0.jar,/home/airflow/.ivy2/jars/org.slf4j_slf4j-api-2.0.7.jar,/home/airflow/.ivy2/jars/org.roaringbitmap_shims-0.9.47.jar","spark.app.startTime":"1784266241460","spark.rdd.scope":"{\"id\":\"68\",\"name\":\"BroadcastExchange\"}","spark.rdd.compress":"True","spark.app.submitTime":"1784266240711","spark.eventLog.dir":"file:/opt/spark-events","spark.app.initial.jar.urls":"spark://73850a3d530b:41381/jars/org.apache.commons_commons-compress-1.27.1.jar,spark://73850a3d530b:41381/jars/org.jspecify_jspecify-1.0.0.jar,spark://73850a3d530b:41381/jars/org.slf4j_slf4j-api-2.0.7.jar,spark://73850a3d530b:41381/jars/org.apache.httpcomponents.core5_httpcore5-h2-5.2.4.jar,spark://73850a3d530b:41381/jars/com.clickhouse_clickhouse-client-0.9.0.jar,spark://73850a3d530b:41381/jars/org.lz4_lz4-java-1.8.0.jar,spark://73850a3d530b:41381/jars/org.roaringbitmap_shims-0.9.47.jar,spark://73850a3d530b:41381/jars/com.google.j2objc_j2objc-annotations-3.0.0.jar,spark://73850a3d530b:41381/jars/org.roaringbitmap_RoaringBitmap-0.9.47.jar,spark://73850a3d530b:41381/jars/commons-codec_commons-codec-1.17.1.jar,spark://73850a3d530b:41381/jars/com.google.guava_listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar,spark://73850a3d530b:41381/jars/com.google.guava_guava-33.4.6-jre.jar,spark://73850a3d530b:41381/jars/org.antlr_antlr4-runtime-4.13.2.jar,spark://73850a3d530b:41381/jars/com.clickhouse_clickhouse-http-client-0.9.0.jar,spark://73850a3d530b:41381/jars/commons-io_commons-io-2.16.1.jar,spark://73850a3d530b:41381/jars/com.google.errorprone_error_prone_annotations-2.36.0.jar,spark://73850a3d530b:41381/jars/com.clickhouse_client-v2-0.9.0.jar,spark://73850a3d530b:41381/jars/org.apache.httpcomponents.core5_httpcore5-5.2.4.jar,spark://73850a3d530b:41381/jars/org.apache.httpcomponents.client5_httpclient5-5.3.1.jar,spark://73850a3d530b:41381/jars/org.apache.commons_commons-lang3-3.16.0.jar,spark://73850a3d530b:41381/jars/com.clickhouse_clickhouse-data-0.9.0.jar,spark://73850a3d530b:41381/jars/com.clickhouse_clickhouse-jdbc-0.9.0.jar,spark://73850a3d530b:41381/jars/com.google.guava_failureaccess-1.0.3.jar,spark://73850a3d530b:41381/jars/org.ow2.asm_asm-9.7.jar,spark://73850a3d530b:41381/jars/com.clickhouse_jdbc-v2-0.9.0.jar","spark.sql.execution.id":"1","spark.sql.warehouse.dir":"file:/opt/airflow/spark-warehouse","spark.rdd.scope.noOverride":"true","spark.master":"spark://spark-master:7077","spark.job.interruptOnCancel":"true","spark.repl.local.jars":"file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-jdbc-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-client-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-data-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-http-client-0.9.0.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.client5_httpclient5-5.3.1.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.core5_httpcore5-5.2.4.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.core5_httpcore5-h2-5.2.4.jar,file:///home/airflow/.ivy2/jars/org.apache.commons_commons-compress-1.27.1.jar,file:///home/airflow/.ivy2/jars/commons-codec_commons-codec-1.17.1.jar,file:///home/airflow/.ivy2/jars/commons-io_commons-io-2.16.1.jar,file:///home/airflow/.ivy2/jars/org.apache.commons_commons-lang3-3.16.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_jdbc-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-Djdk.reflect.useDirectMethodHandle=false","spark.files":"file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-jdbc-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-client-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-data-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-http-client-0.9.0.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.client5_httpclient5-5.3.1.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.core5_httpcore5-5.2.4.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.core5_httpcore5-h2-5.2.4.jar,file:///home/airflow/.ivy2/jars/org.apache.commons_commons-compress-1.27.1.jar,file:///home/airflow/.ivy2/jars/commons-codec_commons-codec-1.17.1.jar,file:///home/airflow/.ivy2/jars/commons-io_commons-io-2.16.1.jar,file:///home/airflow/.ivy2/jars/org.apache.commons_commons-lang3-3.16.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_jdbc-v2-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_client-v2-0.9.0.jar,file:///home/airflow/.ivy2/jars/org.roaringbitmap_RoaringBitmap-0.9.47.jar,file:///home/airflow/.ivy2/jars/org.ow2.asm_asm-9.7.jar,file:///home/airflow/.ivy2/jars/org.antlr_antlr4-runtime-4.13.2.jar,file:///home/airflow/.ivy2/jars/com.google.guava_guava-33.4.6-jre.jar,file:///home/airflow/.ivy2/jars/com.google.guava_failureaccess-1.0.3.jar,file:///home/airflow/.ivy2/jars/com.google.guava_listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar,file:///home/airflow/.ivy2/jars/org.jspecify_jspecify-1.0.0.jar,file:///home/airflow/.ivy2/jars/com.google.errorprone_error_prone_annotations-2.36.0.jar,file:///home/airflow/.ivy2/jars/com.google.j2objc_j2objc-annotations-3.0.0.jar,file:///home/airflow/.ivy2/jars/org.lz4_lz4-java-1.8.0.jar,file:///home/airflow/.ivy2/jars/org.slf4j_slf4j-api-2.0.7.jar,file:///home/airflow/.ivy2/jars/org.roaringbitmap_shims-0.9.47.jar","spark.jars":"file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-jdbc-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-client-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-data-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-http-client-0.9.0.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.client5_httpclient5-5.3.1.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.core5_httpcore5-5.2.4.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.core5_httpcore5-h2-5.2.4.jar,file:///home/airflow/.ivy2/jars/org.apache.commons_commons-compress-1.27.1.jar,file:///home/airflow/.ivy2/jars/commons-codec_commons-codec-1.17.1.jar,file:///home/airflow/.ivy2/jars/commons-io_commons-io-2.16.1.jar,file:///home/airflow/.ivy2/jars/org.apache.commons_commons-lang3-3.16.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_jdbc-v2-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_client-v2-0.9.0.jar,file:///home/airflow/.ivy2/jars/org.roaringbitmap_RoaringBitmap-0.9.47.jar,file:///home/airflow/.ivy2/jars/org.ow2.asm_asm-9.7.jar,file:///home/airflow/.ivy2/jars/org.antlr_antlr4-runtime-4.13.2.jar,file:///home/airflow/.ivy2/jars/com.google.guava_guava-33.4.6-jre.jar,file:///home/airflow/.ivy2/jars/com.google.guava_failureaccess-1.0.3.jar,file:///home/airflow/.ivy2/jars/com.google.guava_listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar,file:///home/airflow/.ivy2/jars/org.jspecify_jspecify-1.0.0.jar,file:///home/airflow/.ivy2/jars/com.google.errorprone_error_prone_annotations-2.36.0.jar,file:///home/airflow/.ivy2/jars/com.google.j2objc_j2objc-annotations-3.0.0.jar,file:///home/airflow/.ivy2/jars/org.lz4_lz4-java-1.8.0.jar,file:///home/airflow/.ivy2/jars/org.slf4j_slf4j-api-2.0.7.jar,file:///home/airflow/.ivy2/jars/org.roaringbitmap_shims-0.9.47.jar","spark.app.initial.file.urls":"spark://73850a3d530b:41381/files/com.clickhouse_clickhouse-jdbc-0.9.0.jar,spark://73850a3d530b:41381/files/com.google.errorprone_error_prone_annotations-2.36.0.jar,spark://73850a3d530b:41381/files/com.google.j2objc_j2objc-annotations-3.0.0.jar,spark://73850a3d530b:41381/files/org.apache.httpcomponents.core5_httpcore5-5.2.4.jar,spark://73850a3d530b:41381/files/commons-codec_commons-codec-1.17.1.jar,spark://73850a3d530b:41381/files/org.ow2.asm_asm-9.7.jar,spark://73850a3d530b:41381/files/org.lz4_lz4-java-1.8.0.jar,spark://73850a3d530b:41381/files/org.jspecify_jspecify-1.0.0.jar,spark://73850a3d530b:41381/files/com.clickhouse_clickhouse-http-client-0.9.0.jar,spark://73850a3d530b:41381/files/com.google.guava_guava-33.4.6-jre.jar,spark://73850a3d530b:41381/files/com.clickhouse_client-v2-0.9.0.jar,spark://73850a3d530b:41381/files/com.google.guava_failureaccess-1.0.3.jar,spark://73850a3d530b:41381/files/org.antlr_antlr4-runtime-4.13.2.jar,spark://73850a3d530b:41381/files/org.apache.commons_commons-compress-1.27.1.jar,spark://73850a3d530b:41381/files/com.clickhouse_clickhouse-client-0.9.0.jar,spark://73850a3d530b:41381/files/commons-io_commons-io-2.16.1.jar,spark://73850a3d530b:41381/files/org.apache.httpcomponents.core5_httpcore5-h2-5.2.4.jar,spark://73850a3d530b:41381/files/org.roaringbitmap_RoaringBitmap-0.9.47.jar,spark://73850a3d530b:41381/files/com.google.guava_listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar,spark://73850a3d530b:41381/files/org.slf4j_slf4j-api-2.0.7.jar,spark://73850a3d530b:41381/files/com.clickhouse_clickhouse-data-0.9.0.jar,spark://73850a3d530b:41381/files/org.roaringbitmap_shims-0.9.47.jar,spark://73850a3d530b:41381/files/com.clickhouse_jdbc-v2-0.9.0.jar,spark://73850a3d530b:41381/files/org.apache.httpcomponents.client5_httpclient5-5.3.1.jar,spark://73850a3d530b:41381/files/org.apache.commons_commons-lang3-3.16.0.jar","spark.sql.execution.root.id":"1","spark.serializer.objectStreamReset":"100","spark.driver.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":1,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (44)\n+- == Current Plan ==\n CollectLimit (27)\n +- Project (26)\n +- BroadcastHashJoin LeftOuter BuildRight (25)\n :- LocalLimit (13)\n : +- BroadcastHashJoin LeftAnti BuildRight (12)\n : :- ShuffleQueryStage (3), Statistics(sizeInBytes=1760.0 B, rowCount=20)\n : : +- Exchange (2)\n : : +- * Scan JDBCRelation(core_dim_user) [numPartitions=1] (1)\n : +- BroadcastQueryStage (11)\n : +- BroadcastExchange (10)\n : +- * HashAggregate (9)\n : +- AQEShuffleRead (8)\n : +- ShuffleQueryStage (7), Statistics(sizeInBytes=352.0 B, rowCount=11)\n : +- Exchange (6)\n : +- * HashAggregate (5)\n : +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (4)\n +- BroadcastExchange (24)\n +- HashAggregate (23)\n +- ShuffleQueryStage (22)\n +- Exchange (21)\n +- * HashAggregate (20)\n +- * HashAggregate (19)\n +- AQEShuffleRead (18)\n +- ShuffleQueryStage (17), Statistics(sizeInBytes=2.5 KiB, rowCount=45)\n +- Exchange (16)\n +- * HashAggregate (15)\n +- * Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (14)\n+- == Initial Plan ==\n CollectLimit (43)\n +- Project (42)\n +- SortMergeJoin LeftOuter (41)\n :- LocalLimit (34)\n : +- SortMergeJoin LeftAnti (33)\n : :- Sort (29)\n : : +- Exchange (28)\n : : +- Scan JDBCRelation(core_dim_user) [numPartitions=1] (1)\n : +- Sort (32)\n : +- HashAggregate (31)\n : +- Exchange (30)\n : +- HashAggregate (5)\n : +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (4)\n +- Sort (40)\n +- HashAggregate (39)\n +- Exchange (38)\n +- HashAggregate (37)\n +- HashAggregate (36)\n +- Exchange (35)\n +- HashAggregate (15)\n +- Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (14)\n\n\n(1) Scan JDBCRelation(core_dim_user) [numPartitions=1] [codegen id : 1]\nOutput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nReadSchema: struct\n\n(2) Exchange\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=427]\n\n(3) ShuffleQueryStage\nOutput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: 0\n\n(4) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 2]\nOutput [1]: [user_id#32]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(5) HashAggregate [codegen id : 2]\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(6) Exchange\nInput [1]: [user_id#32]\nArguments: hashpartitioning(user_id#32, 200), ENSURE_REQUIREMENTS, [plan_id=439]\n\n(7) ShuffleQueryStage\nOutput [1]: [user_id#32]\nArguments: 1\n\n(8) AQEShuffleRead\nInput [1]: [user_id#32]\nArguments: coalesced\n\n(9) HashAggregate [codegen id : 4]\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(10) BroadcastExchange\nInput [1]: [user_id#32]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), true]),false), [plan_id=547]\n\n(11) BroadcastQueryStage\nOutput [1]: [user_id#32]\nArguments: 3\n\n(12) BroadcastHashJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#32]\nJoin type: LeftAnti\nJoin condition: None\n\n(13) LocalLimit\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: 21\n\n(14) Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] [codegen id : 3]\nOutput [2]: [user_id#26, course_id#27]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(15) HashAggregate [codegen id : 3]\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(16) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=460]\n\n(17) ShuffleQueryStage\nOutput [2]: [user_id#26, course_id#27]\nArguments: 2\n\n(18) AQEShuffleRead\nInput [2]: [user_id#26, course_id#27]\nArguments: coalesced\n\n(19) HashAggregate [codegen id : 5]\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(20) HashAggregate [codegen id : 5]\nInput [2]: [user_id#26, course_id#27]\nKeys [1]: [user_id#26]\nFunctions [1]: [partial_count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count#318L]\n\n(21) Exchange\nInput [2]: [user_id#26, count#318L]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=595]\n\n(22) ShuffleQueryStage\nOutput [2]: [user_id#26, count#318L]\nArguments: 4\n\n(23) HashAggregate\nInput [2]: [user_id#26, count#318L]\nKeys [1]: [user_id#26]\nFunctions [1]: [count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count(course_id#27)#128L AS registered_courses_count#127L]\n\n(24) BroadcastExchange\nInput [2]: [user_id#26, registered_courses_count#127L]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), true]),false), [plan_id=607]\n\n(25) BroadcastHashJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#26]\nJoin type: LeftOuter\nJoin condition: None\n\n(26) Project\nOutput [6]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#304, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(name)#305, toprettystring(email#3, Some(Europe/Samara)) AS toprettystring(email)#306, toprettystring(age#2, Some(Europe/Samara)) AS toprettystring(age)#307, toprettystring(coalesce(registered_courses_count#127L, 0), Some(Europe/Samara)) AS toprettystring(registered_courses_count)#308, toprettystring(registration_date#4, Some(Europe/Samara)) AS toprettystring(registration_date)#309]\nInput [7]: [user_id#0, name#1, age#2, email#3, registration_date#4, user_id#26, registered_courses_count#127L]\n\n(27) CollectLimit\nInput [6]: [toprettystring(user_id)#304, toprettystring(name)#305, toprettystring(email)#306, toprettystring(age)#307, toprettystring(registered_courses_count)#308, toprettystring(registration_date)#309]\nArguments: 21\n\n(28) Exchange\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=406]\n\n(29) Sort\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(30) Exchange\nInput [1]: [user_id#32]\nArguments: hashpartitioning(user_id#32, 200), ENSURE_REQUIREMENTS, [plan_id=402]\n\n(31) HashAggregate\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(32) Sort\nInput [1]: [user_id#32]\nArguments: [user_id#32 ASC NULLS FIRST], false, 0\n\n(33) SortMergeJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#32]\nJoin type: LeftAnti\nJoin condition: None\n\n(34) LocalLimit\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: 21\n\n(35) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=411]\n\n(36) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(37) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [1]: [user_id#26]\nFunctions [1]: [partial_count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count#318L]\n\n(38) Exchange\nInput [2]: [user_id#26, count#318L]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=415]\n\n(39) HashAggregate\nInput [2]: [user_id#26, count#318L]\nKeys [1]: [user_id#26]\nFunctions [1]: [count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count(course_id#27)#128L AS registered_courses_count#127L]\n\n(40) Sort\nInput [2]: [user_id#26, registered_courses_count#127L]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(41) SortMergeJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#26]\nJoin type: LeftOuter\nJoin condition: None\n\n(42) Project\nOutput [6]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#304, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(name)#305, toprettystring(email#3, Some(Europe/Samara)) AS toprettystring(email)#306, toprettystring(age#2, Some(Europe/Samara)) AS toprettystring(age)#307, toprettystring(coalesce(registered_courses_count#127L, 0), Some(Europe/Samara)) AS toprettystring(registered_courses_count)#308, toprettystring(registration_date#4, Some(Europe/Samara)) AS toprettystring(registration_date)#309]\nInput [7]: [user_id#0, name#1, age#2, email#3, registration_date#4, user_id#26, registered_courses_count#127L]\n\n(43) CollectLimit\nInput [6]: [toprettystring(user_id)#304, toprettystring(name)#305, toprettystring(email)#306, toprettystring(age)#307, toprettystring(registered_courses_count)#308, toprettystring(registration_date)#309]\nArguments: 21\n\n(44) AdaptiveSparkPlan\nOutput [6]: [toprettystring(user_id)#304, toprettystring(name)#305, toprettystring(email)#306, toprettystring(age)#307, toprettystring(registered_courses_count)#308, toprettystring(registration_date)#309]\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"CollectLimit","simpleString":"CollectLimit 21","children":[{"nodeName":"Project","simpleString":"Project [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#304, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(name)#305, toprettystring(email#3, Some(Europe/Samara)) AS toprettystring(email)#306, toprettystring(age#2, Some(Europe/Samara)) AS toprettystring(age)#307, toprettystring(coalesce(registered_courses_count#127L, 0), Some(Europe/Samara)) AS toprettystring(registered_courses_count)#308, toprettystring(registration_date#4, Some(Europe/Samara)) AS toprettystring(registration_date)#309]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [user_id#0], [user_id#26], LeftOuter, BuildRight, false","children":[{"nodeName":"LocalLimit","simpleString":"LocalLimit 21","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [user_id#0], [user_id#32], LeftAnti, BuildRight, false","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=427]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"Scan JDBCRelation(core_dim_user) [numPartitions=1] ","simpleString":"Scan 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Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":12,"Executor Deserialize CPU Time":7730698,"Executor Run Time":96,"Executor CPU Time":82611813,"Peak Execution Memory":524288,"Result Size":5560,"JVM GC Time":0,"Result Serialization Time":0,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":1,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":3290,"Total Records Read":45,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":1503,"Shuffle Write Time":5533057,"Shuffle Records Written":20},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}} {"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":18,"Stage Attempt ID":0,"Stage Name":"showString at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":35,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"73\",\"name\":\"Exchange\"}","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[34],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":33,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"78\",\"name\":\"AQEShuffleRead\"}","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[29],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":34,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"74\",\"name\":\"WholeStageCodegen (5)\"}","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[33],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[17],"Details":"org.apache.spark.sql.Dataset.showString(Dataset.scala:315)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784266247954,"Completion Time":1784266248078,"Accumulables":[{"ID":990,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":993,"Name":"local bytes read","Value":"3290","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":994,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":995,"Name":"records read","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1227,"Name":"data size","Value":"800","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1246,"Name":"shuffle bytes written","Value":"1503","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1247,"Name":"shuffle records written","Value":"20","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1248,"Name":"shuffle write time","Value":"5533057","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1249,"Name":"duration","Value":"39","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1250,"Name":"number of output rows","Value":"20","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1251,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1253,"Name":"time in aggregation build","Value":"7","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1256,"Name":"number of output rows","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1257,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1259,"Name":"time in aggregation build","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1265,"Name":"internal.metrics.executorDeserializeTime","Value":12,"Internal":true,"Count Failed Values":true},{"ID":1266,"Name":"internal.metrics.executorDeserializeCpuTime","Value":7730698,"Internal":true,"Count Failed Values":true},{"ID":1267,"Name":"internal.metrics.executorRunTime","Value":96,"Internal":true,"Count Failed Values":true},{"ID":1268,"Name":"internal.metrics.executorCpuTime","Value":82611813,"Internal":true,"Count Failed Values":true},{"ID":1269,"Name":"internal.metrics.resultSize","Value":5560,"Internal":true,"Count Failed Values":true},{"ID":1274,"Name":"internal.metrics.peakExecutionMemory","Value":524288,"Internal":true,"Count Failed Values":true},{"ID":1276,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1277,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":1278,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1279,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1280,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":3290,"Internal":true,"Count Failed Values":true},{"ID":1281,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1282,"Name":"internal.metrics.shuffle.read.recordsRead","Value":45,"Internal":true,"Count Failed Values":true},{"ID":1283,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1284,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1285,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1286,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1287,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1288,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1289,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1290,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1291,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1292,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1293,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":1503,"Internal":true,"Count Failed Values":true},{"ID":1294,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":20,"Internal":true,"Count Failed Values":true},{"ID":1295,"Name":"internal.metrics.shuffle.write.writeTime","Value":5533057,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}} {"Event":"SparkListenerJobEnd","Job ID":10,"Completion Time":1784266248079,"Job Result":{"Result":"JobSucceeded"}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":1,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (46)\n+- == Current Plan ==\n CollectLimit (29)\n +- Project (28)\n +- BroadcastHashJoin LeftOuter BuildRight (27)\n :- LocalLimit (13)\n : +- BroadcastHashJoin LeftAnti BuildRight (12)\n : :- ShuffleQueryStage (3), Statistics(sizeInBytes=1760.0 B, rowCount=20)\n : : +- Exchange (2)\n : : +- * Scan JDBCRelation(core_dim_user) [numPartitions=1] (1)\n : +- BroadcastQueryStage (11), Statistics(sizeInBytes=2.0 MiB, rowCount=11)\n : +- BroadcastExchange (10)\n : +- * HashAggregate (9)\n : +- AQEShuffleRead (8)\n : +- ShuffleQueryStage (7), Statistics(sizeInBytes=352.0 B, rowCount=11)\n : +- Exchange (6)\n : +- * HashAggregate (5)\n : +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (4)\n +- BroadcastQueryStage (26)\n +- BroadcastExchange (25)\n +- * HashAggregate (24)\n +- AQEShuffleRead (23)\n +- ShuffleQueryStage (22), Statistics(sizeInBytes=800.0 B, rowCount=20)\n +- Exchange (21)\n +- * HashAggregate (20)\n +- * HashAggregate (19)\n +- AQEShuffleRead (18)\n +- ShuffleQueryStage (17), Statistics(sizeInBytes=2.5 KiB, rowCount=45)\n +- Exchange (16)\n +- * HashAggregate (15)\n +- * Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (14)\n+- == Initial Plan ==\n CollectLimit (45)\n +- Project (44)\n +- SortMergeJoin LeftOuter (43)\n :- LocalLimit (36)\n : +- SortMergeJoin LeftAnti (35)\n : :- Sort (31)\n : : +- Exchange (30)\n : : +- Scan JDBCRelation(core_dim_user) [numPartitions=1] (1)\n : +- Sort (34)\n : +- HashAggregate (33)\n : +- Exchange (32)\n : +- HashAggregate (5)\n : +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (4)\n +- Sort (42)\n +- HashAggregate (41)\n +- Exchange (40)\n +- HashAggregate (39)\n +- HashAggregate (38)\n +- Exchange (37)\n +- HashAggregate (15)\n +- Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (14)\n\n\n(1) Scan JDBCRelation(core_dim_user) [numPartitions=1] [codegen id : 1]\nOutput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nReadSchema: struct\n\n(2) Exchange\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=427]\n\n(3) ShuffleQueryStage\nOutput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: 0\n\n(4) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 2]\nOutput [1]: [user_id#32]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(5) HashAggregate [codegen id : 2]\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(6) Exchange\nInput [1]: [user_id#32]\nArguments: hashpartitioning(user_id#32, 200), ENSURE_REQUIREMENTS, [plan_id=439]\n\n(7) ShuffleQueryStage\nOutput [1]: [user_id#32]\nArguments: 1\n\n(8) AQEShuffleRead\nInput [1]: [user_id#32]\nArguments: coalesced\n\n(9) HashAggregate [codegen id : 4]\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(10) BroadcastExchange\nInput [1]: [user_id#32]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), true]),false), [plan_id=547]\n\n(11) BroadcastQueryStage\nOutput [1]: [user_id#32]\nArguments: 3\n\n(12) BroadcastHashJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#32]\nJoin type: LeftAnti\nJoin condition: None\n\n(13) LocalLimit\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: 21\n\n(14) Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] [codegen id : 3]\nOutput [2]: [user_id#26, course_id#27]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(15) HashAggregate [codegen id : 3]\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(16) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=460]\n\n(17) ShuffleQueryStage\nOutput [2]: [user_id#26, course_id#27]\nArguments: 2\n\n(18) AQEShuffleRead\nInput [2]: [user_id#26, course_id#27]\nArguments: coalesced\n\n(19) HashAggregate [codegen id : 5]\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(20) HashAggregate [codegen id : 5]\nInput [2]: [user_id#26, course_id#27]\nKeys [1]: [user_id#26]\nFunctions [1]: [partial_count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count#318L]\n\n(21) Exchange\nInput [2]: [user_id#26, count#318L]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=595]\n\n(22) ShuffleQueryStage\nOutput [2]: [user_id#26, count#318L]\nArguments: 4\n\n(23) AQEShuffleRead\nInput [2]: [user_id#26, count#318L]\nArguments: coalesced\n\n(24) HashAggregate [codegen id : 6]\nInput [2]: [user_id#26, count#318L]\nKeys [1]: [user_id#26]\nFunctions [1]: [count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count(course_id#27)#128L AS registered_courses_count#127L]\n\n(25) BroadcastExchange\nInput [2]: [user_id#26, registered_courses_count#127L]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), true]),false), [plan_id=666]\n\n(26) BroadcastQueryStage\nOutput [2]: [user_id#26, registered_courses_count#127L]\nArguments: 5\n\n(27) BroadcastHashJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#26]\nJoin type: LeftOuter\nJoin condition: None\n\n(28) Project\nOutput [6]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#304, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(name)#305, toprettystring(email#3, Some(Europe/Samara)) AS toprettystring(email)#306, toprettystring(age#2, Some(Europe/Samara)) AS toprettystring(age)#307, toprettystring(coalesce(registered_courses_count#127L, 0), Some(Europe/Samara)) AS toprettystring(registered_courses_count)#308, toprettystring(registration_date#4, Some(Europe/Samara)) AS toprettystring(registration_date)#309]\nInput [7]: [user_id#0, name#1, age#2, email#3, registration_date#4, user_id#26, registered_courses_count#127L]\n\n(29) CollectLimit\nInput [6]: [toprettystring(user_id)#304, toprettystring(name)#305, toprettystring(email)#306, toprettystring(age)#307, toprettystring(registered_courses_count)#308, toprettystring(registration_date)#309]\nArguments: 21\n\n(30) Exchange\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=406]\n\n(31) Sort\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(32) Exchange\nInput [1]: [user_id#32]\nArguments: hashpartitioning(user_id#32, 200), ENSURE_REQUIREMENTS, [plan_id=402]\n\n(33) HashAggregate\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(34) Sort\nInput [1]: [user_id#32]\nArguments: [user_id#32 ASC NULLS FIRST], false, 0\n\n(35) SortMergeJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#32]\nJoin type: LeftAnti\nJoin condition: None\n\n(36) LocalLimit\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: 21\n\n(37) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=411]\n\n(38) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(39) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [1]: [user_id#26]\nFunctions [1]: [partial_count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count#318L]\n\n(40) Exchange\nInput [2]: [user_id#26, count#318L]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=415]\n\n(41) HashAggregate\nInput [2]: [user_id#26, count#318L]\nKeys [1]: [user_id#26]\nFunctions [1]: [count(distinct 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Values":true},{"ID":1350,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1351,"Name":"internal.metrics.shuffle.read.localBytesRead","Update":1503,"Value":1503,"Internal":true,"Count Failed Values":true},{"ID":1352,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1353,"Name":"internal.metrics.shuffle.read.recordsRead","Update":20,"Value":20,"Internal":true,"Count Failed Values":true},{"ID":1354,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1355,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1356,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1357,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1358,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1359,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1360,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1361,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1362,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1363,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true}]},"Task Executor Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":10,"Executor Deserialize CPU Time":6451309,"Executor Run Time":18,"Executor CPU Time":16306758,"Peak Execution Memory":4456432,"Result Size":7089,"JVM GC Time":0,"Result Serialization Time":0,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":1,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":1503,"Total Records Read":20,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":0,"Shuffle Write Time":0,"Shuffle Records Written":0},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}} {"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":21,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":38,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"85\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[37],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":36,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"89\",\"name\":\"AQEShuffleRead\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[35],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":37,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"86\",\"name\":\"WholeStageCodegen (6)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[36],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[20],"Details":"org.apache.spark.sql.execution.SQLExecution$.$anonfun$withThreadLocalCaptured$1(SQLExecution.scala:219)\njava.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)\njava.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)\njava.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784266248113,"Completion Time":1784266248153,"Accumulables":[{"ID":1230,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1233,"Name":"local bytes read","Value":"1503","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1234,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1235,"Name":"records read","Value":"20","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1326,"Name":"duration","Value":"4","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1327,"Name":"number of output rows","Value":"20","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1328,"Name":"peak memory","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1330,"Name":"time in aggregation build","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1331,"Name":"avg hash probes per key","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1336,"Name":"internal.metrics.executorDeserializeTime","Value":10,"Internal":true,"Count Failed Values":true},{"ID":1337,"Name":"internal.metrics.executorDeserializeCpuTime","Value":6451309,"Internal":true,"Count Failed Values":true},{"ID":1338,"Name":"internal.metrics.executorRunTime","Value":18,"Internal":true,"Count Failed Values":true},{"ID":1339,"Name":"internal.metrics.executorCpuTime","Value":16306758,"Internal":true,"Count Failed Values":true},{"ID":1340,"Name":"internal.metrics.resultSize","Value":7089,"Internal":true,"Count Failed Values":true},{"ID":1345,"Name":"internal.metrics.peakExecutionMemory","Value":4456432,"Internal":true,"Count Failed Values":true},{"ID":1347,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1348,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":1349,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1350,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1351,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":1503,"Internal":true,"Count Failed Values":true},{"ID":1352,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1353,"Name":"internal.metrics.shuffle.read.recordsRead","Value":20,"Internal":true,"Count Failed Values":true},{"ID":1354,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1355,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1356,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1357,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1358,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1359,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1360,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1361,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1362,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1363,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}} {"Event":"SparkListenerJobEnd","Job ID":11,"Completion Time":1784266248154,"Job Result":{"Result":"JobSucceeded"}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":1,"accumUpdates":[[1325,2],[1324,2],[1323,63],[1322,20],[1321,2098160]]} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":1,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (47)\n+- == Final Plan ==\n CollectLimit (30)\n +- * Project (29)\n +- * BroadcastHashJoin LeftOuter BuildRight (28)\n :- * LocalLimit (14)\n : +- * BroadcastHashJoin LeftAnti BuildRight (13)\n : :- AQEShuffleRead (4)\n : : +- ShuffleQueryStage (3), Statistics(sizeInBytes=1760.0 B, rowCount=20)\n : : +- Exchange (2)\n : : +- * Scan JDBCRelation(core_dim_user) [numPartitions=1] (1)\n : +- BroadcastQueryStage (12), Statistics(sizeInBytes=2.0 MiB, rowCount=11)\n : +- BroadcastExchange (11)\n : +- * HashAggregate (10)\n : +- AQEShuffleRead (9)\n : +- ShuffleQueryStage (8), Statistics(sizeInBytes=352.0 B, rowCount=11)\n : +- Exchange (7)\n : +- * HashAggregate (6)\n : +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (5)\n +- BroadcastQueryStage (27), Statistics(sizeInBytes=2.0 MiB, rowCount=20)\n +- BroadcastExchange (26)\n +- * HashAggregate (25)\n +- AQEShuffleRead (24)\n +- ShuffleQueryStage (23), Statistics(sizeInBytes=800.0 B, rowCount=20)\n +- Exchange (22)\n +- * HashAggregate (21)\n +- * HashAggregate (20)\n +- AQEShuffleRead (19)\n +- ShuffleQueryStage (18), Statistics(sizeInBytes=2.5 KiB, rowCount=45)\n +- Exchange (17)\n +- * HashAggregate (16)\n +- * Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (15)\n+- == Initial Plan ==\n CollectLimit (46)\n +- Project (45)\n +- SortMergeJoin LeftOuter (44)\n :- LocalLimit (37)\n : +- SortMergeJoin LeftAnti (36)\n : :- Sort (32)\n : : +- Exchange (31)\n : : +- Scan JDBCRelation(core_dim_user) [numPartitions=1] (1)\n : +- Sort (35)\n : +- HashAggregate (34)\n : +- Exchange (33)\n : +- HashAggregate (6)\n : +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (5)\n +- Sort (43)\n +- HashAggregate (42)\n +- Exchange (41)\n +- HashAggregate (40)\n +- HashAggregate (39)\n +- Exchange (38)\n +- HashAggregate (16)\n +- Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (15)\n\n\n(1) Scan JDBCRelation(core_dim_user) [numPartitions=1] [codegen id : 1]\nOutput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nReadSchema: struct\n\n(2) Exchange\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=427]\n\n(3) ShuffleQueryStage\nOutput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: 0\n\n(4) AQEShuffleRead\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: local\n\n(5) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 2]\nOutput [1]: [user_id#32]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(6) HashAggregate [codegen id : 2]\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(7) Exchange\nInput [1]: [user_id#32]\nArguments: hashpartitioning(user_id#32, 200), ENSURE_REQUIREMENTS, [plan_id=439]\n\n(8) ShuffleQueryStage\nOutput [1]: [user_id#32]\nArguments: 1\n\n(9) AQEShuffleRead\nInput [1]: [user_id#32]\nArguments: coalesced\n\n(10) HashAggregate [codegen id : 4]\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(11) BroadcastExchange\nInput [1]: [user_id#32]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), true]),false), [plan_id=547]\n\n(12) BroadcastQueryStage\nOutput [1]: [user_id#32]\nArguments: 3\n\n(13) BroadcastHashJoin [codegen id : 7]\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#32]\nJoin type: LeftAnti\nJoin condition: None\n\n(14) LocalLimit [codegen id : 7]\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: 21\n\n(15) Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] [codegen id : 3]\nOutput [2]: [user_id#26, course_id#27]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(16) HashAggregate [codegen id : 3]\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(17) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=460]\n\n(18) ShuffleQueryStage\nOutput [2]: [user_id#26, course_id#27]\nArguments: 2\n\n(19) AQEShuffleRead\nInput [2]: [user_id#26, course_id#27]\nArguments: coalesced\n\n(20) HashAggregate [codegen id : 5]\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(21) HashAggregate [codegen id : 5]\nInput [2]: [user_id#26, course_id#27]\nKeys [1]: [user_id#26]\nFunctions [1]: [partial_count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count#318L]\n\n(22) Exchange\nInput [2]: [user_id#26, count#318L]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=595]\n\n(23) ShuffleQueryStage\nOutput [2]: [user_id#26, count#318L]\nArguments: 4\n\n(24) AQEShuffleRead\nInput [2]: [user_id#26, count#318L]\nArguments: coalesced\n\n(25) HashAggregate [codegen id : 6]\nInput [2]: [user_id#26, count#318L]\nKeys [1]: [user_id#26]\nFunctions [1]: [count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count(course_id#27)#128L AS registered_courses_count#127L]\n\n(26) BroadcastExchange\nInput [2]: [user_id#26, registered_courses_count#127L]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), true]),false), [plan_id=666]\n\n(27) BroadcastQueryStage\nOutput [2]: [user_id#26, registered_courses_count#127L]\nArguments: 5\n\n(28) BroadcastHashJoin [codegen id : 7]\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#26]\nJoin type: LeftOuter\nJoin condition: None\n\n(29) Project [codegen id : 7]\nOutput [6]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#304, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(name)#305, toprettystring(email#3, Some(Europe/Samara)) AS toprettystring(email)#306, toprettystring(age#2, Some(Europe/Samara)) AS toprettystring(age)#307, toprettystring(coalesce(registered_courses_count#127L, 0), Some(Europe/Samara)) AS toprettystring(registered_courses_count)#308, toprettystring(registration_date#4, Some(Europe/Samara)) AS toprettystring(registration_date)#309]\nInput [7]: [user_id#0, name#1, age#2, email#3, registration_date#4, user_id#26, registered_courses_count#127L]\n\n(30) CollectLimit\nInput [6]: [toprettystring(user_id)#304, toprettystring(name)#305, toprettystring(email)#306, toprettystring(age)#307, toprettystring(registered_courses_count)#308, toprettystring(registration_date)#309]\nArguments: 21\n\n(31) Exchange\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=406]\n\n(32) Sort\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(33) Exchange\nInput [1]: [user_id#32]\nArguments: hashpartitioning(user_id#32, 200), ENSURE_REQUIREMENTS, [plan_id=402]\n\n(34) HashAggregate\nInput [1]: [user_id#32]\nKeys [1]: [user_id#32]\nFunctions: []\nAggregate Attributes: []\nResults [1]: [user_id#32]\n\n(35) Sort\nInput [1]: [user_id#32]\nArguments: [user_id#32 ASC NULLS FIRST], false, 0\n\n(36) SortMergeJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#32]\nJoin type: LeftAnti\nJoin condition: None\n\n(37) LocalLimit\nInput [5]: [user_id#0, name#1, age#2, email#3, registration_date#4]\nArguments: 21\n\n(38) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=411]\n\n(39) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [2]: [user_id#26, course_id#27]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [user_id#26, course_id#27]\n\n(40) HashAggregate\nInput [2]: [user_id#26, course_id#27]\nKeys [1]: [user_id#26]\nFunctions [1]: [partial_count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count#318L]\n\n(41) Exchange\nInput [2]: [user_id#26, count#318L]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=415]\n\n(42) HashAggregate\nInput [2]: [user_id#26, count#318L]\nKeys [1]: [user_id#26]\nFunctions [1]: [count(distinct course_id#27)]\nAggregate Attributes [1]: [count(course_id#27)#128L]\nResults [2]: [user_id#26, count(course_id#27)#128L AS registered_courses_count#127L]\n\n(43) Sort\nInput [2]: [user_id#26, registered_courses_count#127L]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(44) SortMergeJoin\nLeft keys [1]: [user_id#0]\nRight keys [1]: [user_id#26]\nJoin type: LeftOuter\nJoin condition: None\n\n(45) Project\nOutput [6]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#304, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(name)#305, toprettystring(email#3, Some(Europe/Samara)) AS toprettystring(email)#306, toprettystring(age#2, Some(Europe/Samara)) AS toprettystring(age)#307, toprettystring(coalesce(registered_courses_count#127L, 0), Some(Europe/Samara)) AS toprettystring(registered_courses_count)#308, toprettystring(registration_date#4, Some(Europe/Samara)) AS toprettystring(registration_date)#309]\nInput [7]: [user_id#0, name#1, age#2, email#3, registration_date#4, user_id#26, registered_courses_count#127L]\n\n(46) CollectLimit\nInput [6]: [toprettystring(user_id)#304, toprettystring(name)#305, toprettystring(email)#306, toprettystring(age)#307, toprettystring(registered_courses_count)#308, toprettystring(registration_date)#309]\nArguments: 21\n\n(47) AdaptiveSparkPlan\nOutput [6]: [toprettystring(user_id)#304, toprettystring(name)#305, toprettystring(email)#306, toprettystring(age)#307, toprettystring(registered_courses_count)#308, toprettystring(registration_date)#309]\nArguments: isFinalPlan=true\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=true","children":[{"nodeName":"CollectLimit","simpleString":"CollectLimit 21","children":[{"nodeName":"WholeStageCodegen (7)","simpleString":"WholeStageCodegen (7)","children":[{"nodeName":"Project","simpleString":"Project [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#304, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(name)#305, toprettystring(email#3, Some(Europe/Samara)) AS toprettystring(email)#306, toprettystring(age#2, Some(Europe/Samara)) AS toprettystring(age)#307, toprettystring(coalesce(registered_courses_count#127L, 0), Some(Europe/Samara)) AS toprettystring(registered_courses_count)#308, toprettystring(registration_date#4, Some(Europe/Samara)) AS toprettystring(registration_date)#309]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [user_id#0], [user_id#26], LeftOuter, BuildRight, false","children":[{"nodeName":"LocalLimit","simpleString":"LocalLimit 21","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [user_id#0], [user_id#32], LeftAnti, BuildRight, false","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead local","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, 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Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":11,"Executor Deserialize CPU Time":7903988,"Executor Run Time":37,"Executor CPU Time":26667002,"Peak Execution Memory":8390624,"Result Size":4400,"JVM GC Time":0,"Result Serialization Time":0,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":1,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":2299,"Total Records Read":20,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":0,"Shuffle Write Time":0,"Shuffle Records Written":0},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}} {"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":23,"Stage Attempt ID":0,"Stage Name":"showString at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":41,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"112\",\"name\":\"mapPartitionsInternal\"}","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[40],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":39,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"111\",\"name\":\"AQEShuffleRead\"}","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[25],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":40,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"99\",\"name\":\"WholeStageCodegen (7)\"}","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[39],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[22],"Details":"org.apache.spark.sql.Dataset.showString(Dataset.scala:315)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784266248194,"Completion Time":1784266248254,"Accumulables":[{"ID":892,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":895,"Name":"local bytes read","Value":"2299","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":896,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":897,"Name":"records read","Value":"20","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1391,"Name":"duration","Value":"19","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1392,"Name":"number of output rows","Value":"9","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1393,"Name":"number of output rows","Value":"9","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1395,"Name":"internal.metrics.executorDeserializeTime","Value":11,"Internal":true,"Count Failed Values":true},{"ID":1396,"Name":"internal.metrics.executorDeserializeCpuTime","Value":7903988,"Internal":true,"Count Failed Values":true},{"ID":1397,"Name":"internal.metrics.executorRunTime","Value":37,"Internal":true,"Count Failed Values":true},{"ID":1398,"Name":"internal.metrics.executorCpuTime","Value":26667002,"Internal":true,"Count Failed Values":true},{"ID":1399,"Name":"internal.metrics.resultSize","Value":4400,"Internal":true,"Count Failed Values":true},{"ID":1404,"Name":"internal.metrics.peakExecutionMemory","Value":8390624,"Internal":true,"Count Failed Values":true},{"ID":1406,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1407,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":1408,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1409,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1410,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":2299,"Internal":true,"Count Failed Values":true},{"ID":1411,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1412,"Name":"internal.metrics.shuffle.read.recordsRead","Value":20,"Internal":true,"Count Failed Values":true},{"ID":1413,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1414,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1415,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1416,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1417,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1418,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1419,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1420,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1421,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1422,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}} {"Event":"SparkListenerJobEnd","Job ID":12,"Completion Time":1784266248254,"Job Result":{"Result":"JobSucceeded"}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionEnd","executionId":1,"time":1784266248262,"errorMessage":""} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionStart","executionId":2,"rootExecutionId":2,"description":"showString at NativeMethodAccessorImpl.java:0","details":"org.apache.spark.sql.Dataset.showString(Dataset.scala:315)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (40)\n+- CollectLimit (39)\n +- Project (38)\n +- SortMergeJoin LeftOuter (37)\n :- Sort (31)\n : +- Exchange (30)\n : +- LocalLimit (29)\n : +- Project (28)\n : +- SortMergeJoin LeftOuter (27)\n : :- Sort (18)\n : : +- Exchange (17)\n : : +- LocalLimit (16)\n : : +- Project (15)\n : : +- SortMergeJoin Inner (14)\n : : :- Sort (10)\n : : : +- Exchange (9)\n : : : +- Project (8)\n : : : +- SortMergeJoin Inner (7)\n : : : :- Sort (3)\n : : : : +- Exchange (2)\n : : : : +- Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (1)\n : : : +- Sort (6)\n : : : +- Exchange (5)\n : : : +- Scan JDBCRelation(core_dim_user) [numPartitions=1] (4)\n : : +- Sort (13)\n : : +- Exchange (12)\n : : +- Scan JDBCRelation(core_dim_course) [numPartitions=1] (11)\n : +- Sort (26)\n : +- HashAggregate (25)\n : +- Exchange (24)\n : +- HashAggregate (23)\n : +- HashAggregate (22)\n : +- Exchange (21)\n : +- HashAggregate (20)\n : +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (19)\n +- Sort (36)\n +- HashAggregate (35)\n +- Exchange (34)\n +- HashAggregate (33)\n +- Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (32)\n\n\n(1) Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] \nOutput [2]: [user_id#26, course_id#27]\nPushedFilters: [*IsNotNull(user_id), *IsNotNull(course_id)]\nReadSchema: struct\n\n(2) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=801]\n\n(3) Sort\nInput [2]: [user_id#26, course_id#27]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(4) Scan JDBCRelation(core_dim_user) [numPartitions=1] \nOutput [2]: [user_id#0, name#1]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(5) Exchange\nInput [2]: [user_id#0, name#1]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=802]\n\n(6) Sort\nInput [2]: [user_id#0, name#1]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(7) SortMergeJoin\nLeft keys [1]: [user_id#26]\nRight keys [1]: [user_id#0]\nJoin type: Inner\nJoin condition: None\n\n(8) Project\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nInput [4]: [user_id#26, course_id#27, user_id#0, name#1]\n\n(9) Exchange\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=809]\n\n(10) Sort\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(11) Scan JDBCRelation(core_dim_course) [numPartitions=1] \nOutput [2]: [course_id#10, title#11]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(12) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=810]\n\n(13) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(14) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(15) Project\nOutput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nInput [6]: [user_id#26, course_id#27, name#1, user_id#0, course_id#10, title#11]\n\n(16) LocalLimit\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: 21\n\n(17) Exchange\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=824]\n\n(18) Sort\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: [user_id#26 ASC NULLS FIRST, course_id#27 ASC NULLS FIRST], false, 0\n\n(19) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] \nOutput [3]: [user_id#32, lesson_id#33, course_id#34]\nPushedFilters: [*IsNotNull(user_id), *IsNotNull(course_id)]\nReadSchema: struct\n\n(20) HashAggregate\nInput [3]: [user_id#32, lesson_id#33, course_id#34]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(21) Exchange\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: hashpartitioning(user_id#32, course_id#34, lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=816]\n\n(22) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(23) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [partial_count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count#355L]\n\n(24) Exchange\nInput [3]: [user_id#32, course_id#34, count#355L]\nArguments: hashpartitioning(user_id#32, course_id#34, 200), ENSURE_REQUIREMENTS, [plan_id=820]\n\n(25) HashAggregate\nInput [3]: [user_id#32, course_id#34, count#355L]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count(lesson_id#33)#157L AS lessons_viewed#156L]\n\n(26) Sort\nInput [3]: [user_id#32, course_id#34, lessons_viewed#156L]\nArguments: [user_id#32 ASC NULLS FIRST, course_id#34 ASC NULLS FIRST], false, 0\n\n(27) SortMergeJoin\nLeft keys [2]: [user_id#26, course_id#27]\nRight keys [2]: [user_id#32, course_id#34]\nJoin type: LeftOuter\nJoin condition: None\n\n(28) Project\nOutput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nInput [9]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0, user_id#32, course_id#34, lessons_viewed#156L]\n\n(29) LocalLimit\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: 21\n\n(30) Exchange\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=834]\n\n(31) Sort\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(32) Scan JDBCRelation(core_dim_lesson) [numPartitions=1] \nOutput [2]: [lesson_id#18, course_id#21]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(33) HashAggregate\nInput [2]: [lesson_id#18, course_id#21]\nKeys [1]: [course_id#21]\nFunctions [1]: [partial_count(lesson_id#18)]\nAggregate Attributes [1]: [count#357L]\nResults [2]: [course_id#21, count#358L]\n\n(34) Exchange\nInput [2]: [course_id#21, count#358L]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=830]\n\n(35) HashAggregate\nInput [2]: [course_id#21, count#358L]\nKeys [1]: [course_id#21]\nFunctions [1]: [count(lesson_id#18)]\nAggregate Attributes [1]: [count(lesson_id#18)#148L]\nResults [2]: [course_id#21, count(lesson_id#18)#148L AS lessons_in_course#149L]\n\n(36) Sort\nInput [2]: [course_id#21, lessons_in_course#149L]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(37) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#21]\nJoin type: LeftOuter\nJoin condition: None\n\n(38) Project\nOutput [7]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]\nInput [8]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L, course_id#21, lessons_in_course#149L]\n\n(39) CollectLimit\nInput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: 21\n\n(40) AdaptiveSparkPlan\nOutput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"CollectLimit","simpleString":"CollectLimit 21","children":[{"nodeName":"Project","simpleString":"Project [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [course_id#27], [course_id#21], LeftOuter","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#27 ASC NULLS FIRST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, 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JDBCRelation(core_dim_user) [numPartitions=1] (5)\n : : +- Sort (16)\n : : +- ShuffleQueryStage (15)\n : : +- Exchange (14)\n : : +- * Scan JDBCRelation(core_dim_course) [numPartitions=1] (13)\n : +- Sort (30)\n : +- HashAggregate (29)\n : +- Exchange (28)\n : +- HashAggregate (27)\n : +- HashAggregate (26)\n : +- ShuffleQueryStage (25)\n : +- Exchange (24)\n : +- * HashAggregate (23)\n : +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (22)\n +- Sort (41)\n +- HashAggregate (40)\n +- ShuffleQueryStage (39)\n +- Exchange (38)\n +- * HashAggregate (37)\n +- * Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (36)\n+- == Initial Plan ==\n CollectLimit (76)\n +- Project (75)\n +- SortMergeJoin LeftOuter (74)\n :- Sort (70)\n : +- Exchange (69)\n : +- LocalLimit (68)\n : +- Project (67)\n : +- SortMergeJoin LeftOuter (66)\n : :- Sort (59)\n : : +- Exchange (58)\n : : +- LocalLimit (57)\n : : +- Project (56)\n : : +- SortMergeJoin Inner (55)\n : : :- Sort (52)\n : : : +- Exchange (51)\n : : : +- Project (50)\n : : : +- SortMergeJoin Inner (49)\n : : : :- Sort (46)\n : : : : +- Exchange (45)\n : : : : +- Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (1)\n : : : +- Sort (48)\n : : : +- Exchange (47)\n : : : +- Scan JDBCRelation(core_dim_user) [numPartitions=1] (5)\n : : +- Sort (54)\n : : +- Exchange (53)\n : : +- Scan JDBCRelation(core_dim_course) [numPartitions=1] (13)\n : +- Sort (65)\n : +- HashAggregate (64)\n : +- Exchange (63)\n : +- HashAggregate (62)\n : +- HashAggregate (61)\n : +- Exchange (60)\n : +- HashAggregate (23)\n : +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (22)\n +- Sort (73)\n +- HashAggregate (72)\n +- Exchange (71)\n +- HashAggregate (37)\n +- Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (36)\n\n\n(1) Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] [codegen id : 1]\nOutput [2]: [user_id#26, course_id#27]\nPushedFilters: [*IsNotNull(user_id), *IsNotNull(course_id)]\nReadSchema: struct\n\n(2) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=895]\n\n(3) ShuffleQueryStage\nOutput [2]: [user_id#26, course_id#27]\nArguments: 0\n\n(4) Sort\nInput [2]: [user_id#26, course_id#27]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(5) Scan JDBCRelation(core_dim_user) [numPartitions=1] [codegen id : 2]\nOutput [2]: [user_id#0, name#1]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(6) Exchange\nInput [2]: [user_id#0, name#1]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=902]\n\n(7) ShuffleQueryStage\nOutput [2]: [user_id#0, name#1]\nArguments: 1\n\n(8) Sort\nInput [2]: [user_id#0, name#1]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(9) SortMergeJoin\nLeft keys [1]: [user_id#26]\nRight keys [1]: [user_id#0]\nJoin type: Inner\nJoin condition: None\n\n(10) Project\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nInput [4]: [user_id#26, course_id#27, user_id#0, name#1]\n\n(11) Exchange\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=910]\n\n(12) Sort\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(13) Scan JDBCRelation(core_dim_course) [numPartitions=1] [codegen id : 3]\nOutput [2]: [course_id#10, title#11]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(14) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=913]\n\n(15) ShuffleQueryStage\nOutput [2]: [course_id#10, title#11]\nArguments: 2\n\n(16) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(17) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(18) Project\nOutput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nInput [6]: [user_id#26, course_id#27, name#1, user_id#0, course_id#10, title#11]\n\n(19) LocalLimit\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: 21\n\n(20) Exchange\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=922]\n\n(21) Sort\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: [user_id#26 ASC NULLS FIRST, course_id#27 ASC NULLS FIRST], false, 0\n\n(22) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 4]\nOutput [3]: [user_id#32, lesson_id#33, course_id#34]\nPushedFilters: [*IsNotNull(user_id), *IsNotNull(course_id)]\nReadSchema: struct\n\n(23) HashAggregate [codegen id : 4]\nInput [3]: [user_id#32, lesson_id#33, course_id#34]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(24) Exchange\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: hashpartitioning(user_id#32, course_id#34, lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=925]\n\n(25) ShuffleQueryStage\nOutput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: 3\n\n(26) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(27) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [partial_count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count#355L]\n\n(28) Exchange\nInput [3]: [user_id#32, course_id#34, count#355L]\nArguments: hashpartitioning(user_id#32, course_id#34, 200), ENSURE_REQUIREMENTS, [plan_id=932]\n\n(29) HashAggregate\nInput [3]: [user_id#32, course_id#34, count#355L]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count(lesson_id#33)#157L AS lessons_viewed#156L]\n\n(30) Sort\nInput [3]: [user_id#32, course_id#34, lessons_viewed#156L]\nArguments: [user_id#32 ASC NULLS FIRST, course_id#34 ASC NULLS FIRST], false, 0\n\n(31) SortMergeJoin\nLeft keys [2]: [user_id#26, course_id#27]\nRight keys [2]: [user_id#32, course_id#34]\nJoin type: LeftOuter\nJoin condition: None\n\n(32) Project\nOutput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nInput [9]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0, user_id#32, course_id#34, lessons_viewed#156L]\n\n(33) LocalLimit\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: 21\n\n(34) Exchange\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=938]\n\n(35) Sort\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(36) Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [codegen id : 5]\nOutput [2]: [lesson_id#18, course_id#21]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(37) HashAggregate [codegen id : 5]\nInput [2]: [lesson_id#18, course_id#21]\nKeys [1]: [course_id#21]\nFunctions [1]: [partial_count(lesson_id#18)]\nAggregate Attributes [1]: [count#357L]\nResults [2]: [course_id#21, count#358L]\n\n(38) Exchange\nInput [2]: [course_id#21, count#358L]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=946]\n\n(39) ShuffleQueryStage\nOutput [2]: [course_id#21, count#358L]\nArguments: 4\n\n(40) HashAggregate\nInput [2]: [course_id#21, count#358L]\nKeys [1]: [course_id#21]\nFunctions [1]: [count(lesson_id#18)]\nAggregate Attributes [1]: [count(lesson_id#18)#148L]\nResults [2]: [course_id#21, count(lesson_id#18)#148L AS lessons_in_course#149L]\n\n(41) Sort\nInput [2]: [course_id#21, lessons_in_course#149L]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(42) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#21]\nJoin type: LeftOuter\nJoin condition: None\n\n(43) Project\nOutput [7]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]\nInput [8]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L, course_id#21, lessons_in_course#149L]\n\n(44) CollectLimit\nInput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: 21\n\n(45) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=801]\n\n(46) Sort\nInput [2]: [user_id#26, course_id#27]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(47) Exchange\nInput [2]: [user_id#0, name#1]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=802]\n\n(48) Sort\nInput [2]: [user_id#0, name#1]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(49) SortMergeJoin\nLeft keys [1]: [user_id#26]\nRight keys [1]: [user_id#0]\nJoin type: Inner\nJoin condition: None\n\n(50) Project\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nInput [4]: [user_id#26, course_id#27, user_id#0, name#1]\n\n(51) Exchange\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=809]\n\n(52) Sort\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(53) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=810]\n\n(54) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(55) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(56) Project\nOutput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nInput [6]: [user_id#26, course_id#27, name#1, user_id#0, course_id#10, title#11]\n\n(57) LocalLimit\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: 21\n\n(58) Exchange\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=824]\n\n(59) Sort\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: [user_id#26 ASC NULLS FIRST, course_id#27 ASC NULLS FIRST], false, 0\n\n(60) Exchange\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: hashpartitioning(user_id#32, course_id#34, lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=816]\n\n(61) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(62) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [partial_count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count#355L]\n\n(63) Exchange\nInput [3]: [user_id#32, course_id#34, count#355L]\nArguments: hashpartitioning(user_id#32, course_id#34, 200), ENSURE_REQUIREMENTS, [plan_id=820]\n\n(64) HashAggregate\nInput [3]: [user_id#32, course_id#34, count#355L]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count(lesson_id#33)#157L AS lessons_viewed#156L]\n\n(65) Sort\nInput [3]: [user_id#32, course_id#34, lessons_viewed#156L]\nArguments: [user_id#32 ASC NULLS FIRST, course_id#34 ASC NULLS FIRST], false, 0\n\n(66) SortMergeJoin\nLeft keys [2]: [user_id#26, course_id#27]\nRight keys [2]: [user_id#32, course_id#34]\nJoin type: LeftOuter\nJoin condition: None\n\n(67) Project\nOutput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nInput [9]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0, user_id#32, course_id#34, lessons_viewed#156L]\n\n(68) LocalLimit\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: 21\n\n(69) Exchange\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=834]\n\n(70) Sort\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(71) Exchange\nInput [2]: [course_id#21, count#358L]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=830]\n\n(72) HashAggregate\nInput [2]: [course_id#21, count#358L]\nKeys [1]: [course_id#21]\nFunctions [1]: [count(lesson_id#18)]\nAggregate Attributes [1]: [count(lesson_id#18)#148L]\nResults [2]: [course_id#21, count(lesson_id#18)#148L AS lessons_in_course#149L]\n\n(73) Sort\nInput [2]: [course_id#21, lessons_in_course#149L]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(74) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#21]\nJoin type: LeftOuter\nJoin condition: None\n\n(75) Project\nOutput [7]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]\nInput [8]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L, course_id#21, lessons_in_course#149L]\n\n(76) CollectLimit\nInput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: 21\n\n(77) AdaptiveSparkPlan\nOutput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"CollectLimit","simpleString":"CollectLimit 21","children":[{"nodeName":"Project","simpleString":"Project [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS 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[numPartitions=1] (1)\n : : : +- * Sort (10)\n : : : +- AQEShuffleRead (9)\n : : : +- ShuffleQueryStage (8), Statistics(sizeInBytes=960.0 B, rowCount=20)\n : : : +- Exchange (7)\n : : : +- * Scan JDBCRelation(core_dim_user) [numPartitions=1] (6)\n : : +- ShuffleQueryStage (17), Statistics(sizeInBytes=384.0 B, rowCount=5)\n : : +- Exchange (16)\n : : +- * Scan JDBCRelation(core_dim_course) [numPartitions=1] (15)\n : +- Sort (31)\n : +- HashAggregate (30)\n : +- Exchange (29)\n : +- HashAggregate (28)\n : +- HashAggregate (27)\n : +- ShuffleQueryStage (26)\n : +- Exchange (25)\n : +- * HashAggregate (24)\n : +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (23)\n +- Sort (42)\n +- HashAggregate (41)\n +- ShuffleQueryStage (40)\n +- Exchange (39)\n +- * HashAggregate (38)\n +- * Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (37)\n+- == Initial Plan ==\n CollectLimit (77)\n +- Project (76)\n +- SortMergeJoin LeftOuter (75)\n :- Sort (71)\n : +- Exchange (70)\n : +- LocalLimit (69)\n : +- Project (68)\n : +- SortMergeJoin LeftOuter (67)\n : :- Sort (60)\n : : +- Exchange (59)\n : : +- LocalLimit (58)\n : : +- Project (57)\n : : +- SortMergeJoin Inner (56)\n : : :- Sort (53)\n : : : +- Exchange (52)\n : : : +- Project (51)\n : : : +- SortMergeJoin Inner (50)\n : : : :- Sort (47)\n : : : : +- Exchange (46)\n : : : : +- Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (1)\n : : : +- Sort (49)\n : : : +- Exchange (48)\n : : : +- Scan JDBCRelation(core_dim_user) [numPartitions=1] (6)\n : : +- Sort (55)\n : : +- Exchange (54)\n : : +- Scan JDBCRelation(core_dim_course) [numPartitions=1] (15)\n : +- Sort (66)\n : +- HashAggregate (65)\n : +- Exchange (64)\n : +- HashAggregate (63)\n : +- HashAggregate (62)\n : +- Exchange (61)\n : +- HashAggregate (24)\n : +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (23)\n +- Sort (74)\n +- HashAggregate (73)\n +- Exchange (72)\n +- HashAggregate (38)\n +- Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (37)\n\n\n(1) Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] [codegen id : 1]\nOutput [2]: [user_id#26, course_id#27]\nPushedFilters: [*IsNotNull(user_id), *IsNotNull(course_id)]\nReadSchema: struct\n\n(2) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=895]\n\n(3) ShuffleQueryStage\nOutput [2]: [user_id#26, course_id#27]\nArguments: 0\n\n(4) AQEShuffleRead\nInput [2]: [user_id#26, course_id#27]\nArguments: coalesced\n\n(5) Sort [codegen id : 6]\nInput [2]: [user_id#26, course_id#27]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(6) Scan JDBCRelation(core_dim_user) [numPartitions=1] [codegen id : 2]\nOutput [2]: [user_id#0, name#1]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(7) Exchange\nInput [2]: [user_id#0, name#1]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=902]\n\n(8) ShuffleQueryStage\nOutput [2]: [user_id#0, name#1]\nArguments: 1\n\n(9) AQEShuffleRead\nInput [2]: [user_id#0, name#1]\nArguments: coalesced\n\n(10) Sort [codegen id : 7]\nInput [2]: [user_id#0, name#1]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(11) SortMergeJoin [codegen id : 8]\nLeft keys [1]: [user_id#26]\nRight keys [1]: [user_id#0]\nJoin type: Inner\nJoin condition: None\n\n(12) Project [codegen id : 8]\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nInput [4]: [user_id#26, course_id#27, user_id#0, name#1]\n\n(13) BroadcastExchange\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: HashedRelationBroadcastMode(List(input[1, decimal(20,0), true]),false), [plan_id=1178]\n\n(14) BroadcastQueryStage\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: 5\n\n(15) Scan JDBCRelation(core_dim_course) [numPartitions=1] [codegen id : 3]\nOutput [2]: [course_id#10, title#11]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(16) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=913]\n\n(17) ShuffleQueryStage\nOutput [2]: [course_id#10, title#11]\nArguments: 2\n\n(18) BroadcastHashJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(19) Project\nOutput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nInput [6]: [user_id#26, course_id#27, name#1, user_id#0, course_id#10, title#11]\n\n(20) LocalLimit\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: 21\n\n(21) Exchange\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=1201]\n\n(22) Sort\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: [user_id#26 ASC NULLS FIRST, course_id#27 ASC NULLS FIRST], false, 0\n\n(23) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 4]\nOutput [3]: [user_id#32, lesson_id#33, course_id#34]\nPushedFilters: [*IsNotNull(user_id), *IsNotNull(course_id)]\nReadSchema: struct\n\n(24) HashAggregate [codegen id : 4]\nInput [3]: [user_id#32, lesson_id#33, course_id#34]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(25) Exchange\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: hashpartitioning(user_id#32, course_id#34, lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=925]\n\n(26) ShuffleQueryStage\nOutput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: 3\n\n(27) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(28) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [partial_count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count#355L]\n\n(29) Exchange\nInput [3]: [user_id#32, course_id#34, count#355L]\nArguments: hashpartitioning(user_id#32, course_id#34, 200), ENSURE_REQUIREMENTS, [plan_id=932]\n\n(30) HashAggregate\nInput [3]: [user_id#32, course_id#34, count#355L]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count(lesson_id#33)#157L AS lessons_viewed#156L]\n\n(31) Sort\nInput [3]: [user_id#32, course_id#34, lessons_viewed#156L]\nArguments: [user_id#32 ASC NULLS FIRST, course_id#34 ASC NULLS FIRST], false, 0\n\n(32) SortMergeJoin\nLeft keys [2]: [user_id#26, course_id#27]\nRight keys [2]: [user_id#32, course_id#34]\nJoin type: LeftOuter\nJoin condition: None\n\n(33) Project\nOutput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nInput [9]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0, user_id#32, course_id#34, lessons_viewed#156L]\n\n(34) LocalLimit\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: 21\n\n(35) Exchange\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=1206]\n\n(36) Sort\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(37) Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [codegen id : 5]\nOutput [2]: [lesson_id#18, course_id#21]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(38) HashAggregate [codegen id : 5]\nInput [2]: [lesson_id#18, course_id#21]\nKeys [1]: [course_id#21]\nFunctions [1]: [partial_count(lesson_id#18)]\nAggregate Attributes [1]: [count#357L]\nResults [2]: [course_id#21, count#358L]\n\n(39) Exchange\nInput [2]: [course_id#21, count#358L]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=946]\n\n(40) ShuffleQueryStage\nOutput [2]: [course_id#21, count#358L]\nArguments: 4\n\n(41) HashAggregate\nInput [2]: [course_id#21, count#358L]\nKeys [1]: [course_id#21]\nFunctions [1]: [count(lesson_id#18)]\nAggregate Attributes [1]: [count(lesson_id#18)#148L]\nResults [2]: [course_id#21, count(lesson_id#18)#148L AS lessons_in_course#149L]\n\n(42) Sort\nInput [2]: [course_id#21, lessons_in_course#149L]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(43) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#21]\nJoin type: LeftOuter\nJoin condition: None\n\n(44) Project\nOutput [7]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]\nInput [8]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L, course_id#21, lessons_in_course#149L]\n\n(45) CollectLimit\nInput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: 21\n\n(46) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=801]\n\n(47) Sort\nInput [2]: [user_id#26, course_id#27]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(48) Exchange\nInput [2]: [user_id#0, name#1]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=802]\n\n(49) Sort\nInput [2]: [user_id#0, name#1]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(50) SortMergeJoin\nLeft keys [1]: [user_id#26]\nRight keys [1]: [user_id#0]\nJoin type: Inner\nJoin condition: None\n\n(51) Project\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nInput [4]: [user_id#26, course_id#27, user_id#0, name#1]\n\n(52) Exchange\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=809]\n\n(53) Sort\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(54) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=810]\n\n(55) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(56) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(57) Project\nOutput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nInput [6]: [user_id#26, course_id#27, name#1, user_id#0, course_id#10, title#11]\n\n(58) LocalLimit\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: 21\n\n(59) Exchange\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=824]\n\n(60) Sort\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: [user_id#26 ASC NULLS FIRST, course_id#27 ASC NULLS FIRST], false, 0\n\n(61) Exchange\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: hashpartitioning(user_id#32, course_id#34, lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=816]\n\n(62) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(63) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [partial_count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count#355L]\n\n(64) Exchange\nInput [3]: [user_id#32, course_id#34, count#355L]\nArguments: hashpartitioning(user_id#32, course_id#34, 200), ENSURE_REQUIREMENTS, [plan_id=820]\n\n(65) HashAggregate\nInput [3]: [user_id#32, course_id#34, count#355L]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count(lesson_id#33)#157L AS lessons_viewed#156L]\n\n(66) Sort\nInput [3]: [user_id#32, course_id#34, lessons_viewed#156L]\nArguments: [user_id#32 ASC NULLS FIRST, course_id#34 ASC NULLS FIRST], false, 0\n\n(67) SortMergeJoin\nLeft keys [2]: [user_id#26, course_id#27]\nRight keys [2]: [user_id#32, course_id#34]\nJoin type: LeftOuter\nJoin condition: None\n\n(68) Project\nOutput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nInput [9]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0, user_id#32, course_id#34, lessons_viewed#156L]\n\n(69) LocalLimit\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: 21\n\n(70) Exchange\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=834]\n\n(71) Sort\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(72) Exchange\nInput [2]: [course_id#21, count#358L]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=830]\n\n(73) HashAggregate\nInput [2]: [course_id#21, count#358L]\nKeys [1]: [course_id#21]\nFunctions [1]: [count(lesson_id#18)]\nAggregate Attributes [1]: [count(lesson_id#18)#148L]\nResults [2]: [course_id#21, count(lesson_id#18)#148L AS lessons_in_course#149L]\n\n(74) Sort\nInput [2]: [course_id#21, lessons_in_course#149L]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(75) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#21]\nJoin type: LeftOuter\nJoin condition: None\n\n(76) Project\nOutput [7]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]\nInput [8]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L, course_id#21, lessons_in_course#149L]\n\n(77) CollectLimit\nInput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: 21\n\n(78) AdaptiveSparkPlan\nOutput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"CollectLimit","simpleString":"CollectLimit 21","children":[{"nodeName":"Project","simpleString":"Project [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [course_id#27], [course_id#21], LeftOuter","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#27 ASC NULLS FIRST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=1206]","children":[{"nodeName":"LocalLimit","simpleString":"LocalLimit 21","children":[{"nodeName":"Project","simpleString":"Project [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [user_id#26, course_id#27], [user_id#32, course_id#34], LeftOuter","children":[{"nodeName":"Sort","simpleString":"Sort [user_id#26 ASC NULLS FIRST, course_id#27 ASC NULLS FIRST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=1201]","children":[{"nodeName":"LocalLimit","simpleString":"LocalLimit 21","children":[{"nodeName":"Project","simpleString":"Project [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#27], [course_id#10], Inner, BuildLeft, false","children":[{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 5","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[1, decimal(20,0), true]),false), [plan_id=1178]","children":[{"nodeName":"WholeStageCodegen (8)","simpleString":"WholeStageCodegen 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Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":4311,"Shuffle Write Time":7119247,"Shuffle Records Written":54},"Input Metrics":{"Bytes Read":0,"Records Read":57},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}} {"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":27,"Stage Attempt ID":0,"Stage Name":"showString at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":54,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"128\",\"name\":\"Exchange\"}","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[53],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":53,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"129\",\"name\":\"WholeStageCodegen (4)\"}","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[45],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":45,"Name":"JDBCRDD","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[],"Details":"org.apache.spark.sql.Dataset.showString(Dataset.scala:315)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784266248390,"Completion Time":1784266248617,"Accumulables":[{"ID":1676,"Name":"number of output rows","Value":"54","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1677,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1679,"Name":"time in aggregation build","Value":"2","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1682,"Name":"number of output rows","Value":"57","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1945,"Name":"data size","Value":"4320","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1964,"Name":"shuffle bytes written","Value":"4311","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1965,"Name":"shuffle records written","Value":"54","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1966,"Name":"shuffle write time","Value":"7119247","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1967,"Name":"duration","Value":"35","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2105,"Name":"internal.metrics.executorDeserializeTime","Value":29,"Internal":true,"Count Failed Values":true},{"ID":2106,"Name":"internal.metrics.executorDeserializeCpuTime","Value":9351972,"Internal":true,"Count Failed Values":true},{"ID":2107,"Name":"internal.metrics.executorRunTime","Value":166,"Internal":true,"Count Failed Values":true},{"ID":2108,"Name":"internal.metrics.executorCpuTime","Value":70427422,"Internal":true,"Count Failed Values":true},{"ID":2109,"Name":"internal.metrics.resultSize","Value":2485,"Internal":true,"Count Failed Values":true},{"ID":2110,"Name":"internal.metrics.jvmGCTime","Value":17,"Internal":true,"Count Failed Values":true},{"ID":2114,"Name":"internal.metrics.peakExecutionMemory","Value":262144,"Internal":true,"Count Failed Values":true},{"ID":2133,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":4311,"Internal":true,"Count Failed Values":true},{"ID":2134,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":54,"Internal":true,"Count Failed Values":true},{"ID":2135,"Name":"internal.metrics.shuffle.write.writeTime","Value":7119247,"Internal":true,"Count Failed Values":true},{"ID":2137,"Name":"internal.metrics.input.recordsRead","Value":57,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}} {"Event":"SparkListenerJobEnd","Job ID":16,"Completion Time":1784266248618,"Job Result":{"Result":"JobSucceeded"}} {"Event":"SparkListenerTaskStart","Stage ID":31,"Stage Attempt ID":0,"Task Info":{"Task ID":18,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1784266248616,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":0,"Failed":false,"Killed":false,"Accumulables":[]}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":2,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (78)\n+- == Current Plan ==\n CollectLimit (45)\n +- Project (44)\n +- BroadcastHashJoin LeftOuter BuildRight (43)\n :- LocalLimit (34)\n : +- Project (33)\n : +- SortMergeJoin LeftOuter (32)\n : :- Sort (22)\n : : +- Exchange (21)\n : : +- LocalLimit (20)\n : : +- Project (19)\n : : +- BroadcastHashJoin Inner BuildLeft (18)\n : : :- BroadcastQueryStage (14)\n : : : +- BroadcastExchange (13)\n : : : +- * Project (12)\n : : : +- * SortMergeJoin Inner (11)\n : : : :- * Sort (5)\n : : : : +- AQEShuffleRead (4)\n : : : : +- ShuffleQueryStage (3), Statistics(sizeInBytes=2.5 KiB, rowCount=45)\n : : : : +- Exchange (2)\n : : : : +- * Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (1)\n : : : +- * Sort (10)\n : : : +- AQEShuffleRead (9)\n : : : +- ShuffleQueryStage (8), Statistics(sizeInBytes=960.0 B, rowCount=20)\n : : : +- Exchange (7)\n : : : +- * Scan JDBCRelation(core_dim_user) [numPartitions=1] (6)\n : : +- ShuffleQueryStage (17), Statistics(sizeInBytes=384.0 B, rowCount=5)\n : : +- Exchange (16)\n : : +- * Scan JDBCRelation(core_dim_course) [numPartitions=1] (15)\n : +- Sort (31)\n : +- HashAggregate (30)\n : +- Exchange (29)\n : +- HashAggregate (28)\n : +- HashAggregate (27)\n : +- ShuffleQueryStage (26)\n : +- Exchange (25)\n : +- * HashAggregate (24)\n : +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (23)\n +- BroadcastQueryStage (42)\n +- BroadcastExchange (41)\n +- * HashAggregate (40)\n +- AQEShuffleRead (39)\n +- ShuffleQueryStage (38), Statistics(sizeInBytes=200.0 B, rowCount=5)\n +- Exchange (37)\n +- * HashAggregate (36)\n +- * Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (35)\n+- == Initial Plan ==\n CollectLimit (77)\n +- Project (76)\n +- SortMergeJoin LeftOuter (75)\n :- Sort (71)\n : +- Exchange (70)\n : +- LocalLimit (69)\n : +- Project (68)\n : +- SortMergeJoin LeftOuter (67)\n : :- Sort (60)\n : : +- Exchange (59)\n : : +- LocalLimit (58)\n : : +- Project (57)\n : : +- SortMergeJoin Inner (56)\n : : :- Sort (53)\n : : : +- Exchange (52)\n : : : +- Project (51)\n : : : +- SortMergeJoin Inner (50)\n : : : :- Sort (47)\n : : : : +- Exchange (46)\n : : : : +- Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (1)\n : : : +- Sort (49)\n : : : +- Exchange (48)\n : : : +- Scan JDBCRelation(core_dim_user) [numPartitions=1] (6)\n : : +- Sort (55)\n : : +- Exchange (54)\n : : +- Scan JDBCRelation(core_dim_course) [numPartitions=1] (15)\n : +- Sort (66)\n : +- HashAggregate (65)\n : +- Exchange (64)\n : +- HashAggregate (63)\n : +- HashAggregate (62)\n : +- Exchange (61)\n : +- HashAggregate (24)\n : +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (23)\n +- Sort (74)\n +- HashAggregate (73)\n +- Exchange (72)\n +- HashAggregate (36)\n +- Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (35)\n\n\n(1) Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] [codegen id : 1]\nOutput [2]: [user_id#26, course_id#27]\nPushedFilters: [*IsNotNull(user_id), *IsNotNull(course_id)]\nReadSchema: struct\n\n(2) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=895]\n\n(3) ShuffleQueryStage\nOutput [2]: [user_id#26, course_id#27]\nArguments: 0\n\n(4) AQEShuffleRead\nInput [2]: [user_id#26, course_id#27]\nArguments: coalesced\n\n(5) Sort [codegen id : 6]\nInput [2]: [user_id#26, course_id#27]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(6) Scan JDBCRelation(core_dim_user) [numPartitions=1] [codegen id : 2]\nOutput [2]: [user_id#0, name#1]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(7) Exchange\nInput [2]: [user_id#0, name#1]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=902]\n\n(8) ShuffleQueryStage\nOutput [2]: [user_id#0, name#1]\nArguments: 1\n\n(9) AQEShuffleRead\nInput [2]: [user_id#0, name#1]\nArguments: coalesced\n\n(10) Sort [codegen id : 7]\nInput [2]: [user_id#0, name#1]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(11) SortMergeJoin [codegen id : 8]\nLeft keys [1]: [user_id#26]\nRight keys [1]: [user_id#0]\nJoin type: Inner\nJoin condition: None\n\n(12) Project [codegen id : 8]\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nInput [4]: [user_id#26, course_id#27, user_id#0, name#1]\n\n(13) BroadcastExchange\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: HashedRelationBroadcastMode(List(input[1, decimal(20,0), true]),false), [plan_id=1178]\n\n(14) BroadcastQueryStage\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: 5\n\n(15) Scan JDBCRelation(core_dim_course) [numPartitions=1] [codegen id : 3]\nOutput [2]: [course_id#10, title#11]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(16) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=913]\n\n(17) ShuffleQueryStage\nOutput [2]: [course_id#10, title#11]\nArguments: 2\n\n(18) BroadcastHashJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(19) Project\nOutput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nInput [6]: [user_id#26, course_id#27, name#1, user_id#0, course_id#10, title#11]\n\n(20) LocalLimit\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: 21\n\n(21) Exchange\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=1245]\n\n(22) Sort\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: [user_id#26 ASC NULLS FIRST, course_id#27 ASC NULLS FIRST], false, 0\n\n(23) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 4]\nOutput [3]: [user_id#32, lesson_id#33, course_id#34]\nPushedFilters: [*IsNotNull(user_id), *IsNotNull(course_id)]\nReadSchema: struct\n\n(24) HashAggregate [codegen id : 4]\nInput [3]: [user_id#32, lesson_id#33, course_id#34]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(25) Exchange\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: hashpartitioning(user_id#32, course_id#34, lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=925]\n\n(26) ShuffleQueryStage\nOutput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: 3\n\n(27) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(28) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [partial_count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count#355L]\n\n(29) Exchange\nInput [3]: [user_id#32, course_id#34, count#355L]\nArguments: hashpartitioning(user_id#32, course_id#34, 200), ENSURE_REQUIREMENTS, [plan_id=932]\n\n(30) HashAggregate\nInput [3]: [user_id#32, course_id#34, count#355L]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count(lesson_id#33)#157L AS lessons_viewed#156L]\n\n(31) Sort\nInput [3]: [user_id#32, course_id#34, lessons_viewed#156L]\nArguments: [user_id#32 ASC NULLS FIRST, course_id#34 ASC NULLS FIRST], false, 0\n\n(32) SortMergeJoin\nLeft keys [2]: [user_id#26, course_id#27]\nRight keys [2]: [user_id#32, course_id#34]\nJoin type: LeftOuter\nJoin condition: None\n\n(33) Project\nOutput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nInput [9]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0, user_id#32, course_id#34, lessons_viewed#156L]\n\n(34) LocalLimit\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: 21\n\n(35) Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [codegen id : 5]\nOutput [2]: [lesson_id#18, course_id#21]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(36) HashAggregate [codegen id : 5]\nInput [2]: [lesson_id#18, course_id#21]\nKeys [1]: [course_id#21]\nFunctions [1]: [partial_count(lesson_id#18)]\nAggregate Attributes [1]: [count#357L]\nResults [2]: [course_id#21, count#358L]\n\n(37) Exchange\nInput [2]: [course_id#21, count#358L]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=946]\n\n(38) ShuffleQueryStage\nOutput [2]: [course_id#21, count#358L]\nArguments: 4\n\n(39) AQEShuffleRead\nInput [2]: [course_id#21, count#358L]\nArguments: coalesced\n\n(40) HashAggregate [codegen id : 9]\nInput [2]: [course_id#21, count#358L]\nKeys [1]: [course_id#21]\nFunctions [1]: [count(lesson_id#18)]\nAggregate Attributes [1]: [count(lesson_id#18)#148L]\nResults [2]: [course_id#21, count(lesson_id#18)#148L AS lessons_in_course#149L]\n\n(41) BroadcastExchange\nInput [2]: [course_id#21, lessons_in_course#149L]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), true]),false), [plan_id=1272]\n\n(42) BroadcastQueryStage\nOutput [2]: [course_id#21, lessons_in_course#149L]\nArguments: 6\n\n(43) BroadcastHashJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#21]\nJoin type: LeftOuter\nJoin condition: None\n\n(44) Project\nOutput [7]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]\nInput [8]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L, course_id#21, lessons_in_course#149L]\n\n(45) CollectLimit\nInput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: 21\n\n(46) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=801]\n\n(47) Sort\nInput [2]: [user_id#26, course_id#27]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(48) Exchange\nInput [2]: [user_id#0, name#1]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=802]\n\n(49) Sort\nInput [2]: [user_id#0, name#1]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(50) SortMergeJoin\nLeft keys [1]: [user_id#26]\nRight keys [1]: [user_id#0]\nJoin type: Inner\nJoin condition: None\n\n(51) Project\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nInput [4]: [user_id#26, course_id#27, user_id#0, name#1]\n\n(52) Exchange\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=809]\n\n(53) Sort\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(54) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=810]\n\n(55) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(56) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(57) Project\nOutput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nInput [6]: [user_id#26, course_id#27, name#1, user_id#0, course_id#10, title#11]\n\n(58) LocalLimit\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: 21\n\n(59) Exchange\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=824]\n\n(60) Sort\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: [user_id#26 ASC NULLS FIRST, course_id#27 ASC NULLS FIRST], false, 0\n\n(61) Exchange\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: hashpartitioning(user_id#32, course_id#34, lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=816]\n\n(62) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(63) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [partial_count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count#355L]\n\n(64) Exchange\nInput [3]: [user_id#32, course_id#34, count#355L]\nArguments: hashpartitioning(user_id#32, course_id#34, 200), ENSURE_REQUIREMENTS, [plan_id=820]\n\n(65) HashAggregate\nInput [3]: [user_id#32, course_id#34, count#355L]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count(lesson_id#33)#157L AS lessons_viewed#156L]\n\n(66) Sort\nInput [3]: [user_id#32, course_id#34, lessons_viewed#156L]\nArguments: [user_id#32 ASC NULLS FIRST, course_id#34 ASC NULLS FIRST], false, 0\n\n(67) SortMergeJoin\nLeft keys [2]: [user_id#26, course_id#27]\nRight keys [2]: [user_id#32, course_id#34]\nJoin type: LeftOuter\nJoin condition: None\n\n(68) Project\nOutput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nInput [9]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0, user_id#32, course_id#34, lessons_viewed#156L]\n\n(69) LocalLimit\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: 21\n\n(70) Exchange\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=834]\n\n(71) Sort\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(72) Exchange\nInput [2]: [course_id#21, count#358L]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=830]\n\n(73) HashAggregate\nInput [2]: [course_id#21, count#358L]\nKeys [1]: [course_id#21]\nFunctions [1]: [count(lesson_id#18)]\nAggregate Attributes [1]: [count(lesson_id#18)#148L]\nResults [2]: [course_id#21, count(lesson_id#18)#148L AS lessons_in_course#149L]\n\n(74) Sort\nInput [2]: [course_id#21, lessons_in_course#149L]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(75) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#21]\nJoin type: LeftOuter\nJoin condition: None\n\n(76) Project\nOutput [7]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]\nInput [8]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L, course_id#21, lessons_in_course#149L]\n\n(77) CollectLimit\nInput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: 21\n\n(78) AdaptiveSparkPlan\nOutput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"CollectLimit","simpleString":"CollectLimit 21","children":[{"nodeName":"Project","simpleString":"Project [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#27], [course_id#21], LeftOuter, BuildRight, false","children":[{"nodeName":"LocalLimit","simpleString":"LocalLimit 21","children":[{"nodeName":"Project","simpleString":"Project [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [user_id#26, course_id#27], [user_id#32, course_id#34], LeftOuter","children":[{"nodeName":"Sort","simpleString":"Sort [user_id#26 ASC NULLS FIRST, course_id#27 ASC NULLS FIRST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange 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partitions","accumulatorId":2377,"metricType":"sum"},{"name":"partition data size","accumulatorId":2378,"metricType":"size"},{"name":"number of coalesced partitions","accumulatorId":2379,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":2373,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":2374,"metricType":"timing"},{"name":"peak memory","accumulatorId":2372,"metricType":"size"},{"name":"number of output rows","accumulatorId":2371,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":2376,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":2375,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":2370,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":2369,"metricType":"timing"},{"name":"time to build","accumulatorId":2368,"metricType":"timing"},{"name":"time to 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fetched","accumulatorId":2322,"metricType":"sum"},{"name":"records read","accumulatorId":2319,"metricType":"sum"},{"name":"local bytes read","accumulatorId":2317,"metricType":"size"},{"name":"fetch wait time","accumulatorId":2318,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":2315,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":2321,"metricType":"sum"},{"name":"local blocks read","accumulatorId":2314,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":2324,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":2313,"metricType":"sum"},{"name":"local merged bytes read","accumulatorId":2327,"metricType":"size"},{"name":"remote reqs duration","accumulatorId":2328,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":2316,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":2330,"metricType":"size"}]}],"metadata":{},"metrics":[]}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":2,"accumUpdates":[[2377,1],[2379,1],[2378,392]]} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":2,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (78)\n+- == Current Plan ==\n CollectLimit (45)\n +- Project (44)\n +- BroadcastHashJoin LeftOuter BuildRight (43)\n :- LocalLimit (34)\n : +- Project (33)\n : +- BroadcastHashJoin LeftOuter BuildRight (32)\n : :- LocalLimit (20)\n : : +- Project (19)\n : : +- BroadcastHashJoin Inner BuildLeft (18)\n : : :- BroadcastQueryStage (14)\n : : : +- BroadcastExchange (13)\n : : : +- * Project (12)\n : : : +- * SortMergeJoin Inner (11)\n : : : :- * Sort (5)\n : : : : +- AQEShuffleRead (4)\n : : : : +- ShuffleQueryStage (3), Statistics(sizeInBytes=2.5 KiB, rowCount=45)\n : : : : +- Exchange (2)\n : : : : +- * Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (1)\n : : : +- * Sort (10)\n : : : +- AQEShuffleRead (9)\n : : : +- ShuffleQueryStage (8), Statistics(sizeInBytes=960.0 B, rowCount=20)\n : : : +- Exchange (7)\n : : : +- * Scan JDBCRelation(core_dim_user) [numPartitions=1] (6)\n : : +- ShuffleQueryStage (17), Statistics(sizeInBytes=384.0 B, rowCount=5)\n : : +- Exchange (16)\n : : +- * Scan JDBCRelation(core_dim_course) [numPartitions=1] (15)\n : +- BroadcastExchange (31)\n : +- HashAggregate (30)\n : +- ShuffleQueryStage (29)\n : +- Exchange (28)\n : +- * HashAggregate (27)\n : +- * HashAggregate (26)\n : +- AQEShuffleRead (25)\n : +- ShuffleQueryStage (24), Statistics(sizeInBytes=4.2 KiB, rowCount=54)\n : +- Exchange (23)\n : +- * HashAggregate (22)\n : +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (21)\n +- BroadcastQueryStage (42)\n +- BroadcastExchange (41)\n +- * HashAggregate (40)\n +- AQEShuffleRead (39)\n +- ShuffleQueryStage (38), Statistics(sizeInBytes=200.0 B, rowCount=5)\n +- Exchange (37)\n +- * HashAggregate (36)\n +- * Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (35)\n+- == Initial Plan ==\n CollectLimit (77)\n +- Project (76)\n +- SortMergeJoin LeftOuter (75)\n :- Sort (71)\n : +- Exchange (70)\n : +- LocalLimit (69)\n : +- Project (68)\n : +- SortMergeJoin LeftOuter (67)\n : :- Sort (60)\n : : +- Exchange (59)\n : : +- LocalLimit (58)\n : : +- Project (57)\n : : +- SortMergeJoin Inner (56)\n : : :- Sort (53)\n : : : +- Exchange (52)\n : : : +- Project (51)\n : : : +- SortMergeJoin Inner (50)\n : : : :- Sort (47)\n : : : : +- Exchange (46)\n : : : : +- Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (1)\n : : : +- Sort (49)\n : : : +- Exchange (48)\n : : : +- Scan JDBCRelation(core_dim_user) [numPartitions=1] (6)\n : : +- Sort (55)\n : : +- Exchange (54)\n : : +- Scan JDBCRelation(core_dim_course) [numPartitions=1] (15)\n : +- Sort (66)\n : +- HashAggregate (65)\n : +- Exchange (64)\n : +- HashAggregate (63)\n : +- HashAggregate (62)\n : +- Exchange (61)\n : +- HashAggregate (22)\n : +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (21)\n +- Sort (74)\n +- HashAggregate (73)\n +- Exchange (72)\n +- HashAggregate (36)\n +- Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (35)\n\n\n(1) Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] [codegen id : 1]\nOutput [2]: [user_id#26, course_id#27]\nPushedFilters: [*IsNotNull(user_id), *IsNotNull(course_id)]\nReadSchema: struct\n\n(2) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=895]\n\n(3) ShuffleQueryStage\nOutput [2]: [user_id#26, course_id#27]\nArguments: 0\n\n(4) AQEShuffleRead\nInput [2]: [user_id#26, course_id#27]\nArguments: coalesced\n\n(5) Sort [codegen id : 6]\nInput [2]: [user_id#26, course_id#27]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(6) Scan JDBCRelation(core_dim_user) [numPartitions=1] [codegen id : 2]\nOutput [2]: [user_id#0, name#1]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(7) Exchange\nInput [2]: [user_id#0, name#1]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=902]\n\n(8) ShuffleQueryStage\nOutput [2]: [user_id#0, name#1]\nArguments: 1\n\n(9) AQEShuffleRead\nInput [2]: [user_id#0, name#1]\nArguments: coalesced\n\n(10) Sort [codegen id : 7]\nInput [2]: [user_id#0, name#1]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(11) SortMergeJoin [codegen id : 8]\nLeft keys [1]: [user_id#26]\nRight keys [1]: [user_id#0]\nJoin type: Inner\nJoin condition: None\n\n(12) Project [codegen id : 8]\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nInput [4]: [user_id#26, course_id#27, user_id#0, name#1]\n\n(13) BroadcastExchange\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: HashedRelationBroadcastMode(List(input[1, decimal(20,0), true]),false), [plan_id=1178]\n\n(14) BroadcastQueryStage\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: 5\n\n(15) Scan JDBCRelation(core_dim_course) [numPartitions=1] [codegen id : 3]\nOutput [2]: [course_id#10, title#11]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(16) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=913]\n\n(17) ShuffleQueryStage\nOutput [2]: [course_id#10, title#11]\nArguments: 2\n\n(18) BroadcastHashJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(19) Project\nOutput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nInput [6]: [user_id#26, course_id#27, name#1, user_id#0, course_id#10, title#11]\n\n(20) LocalLimit\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: 21\n\n(21) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 4]\nOutput [3]: [user_id#32, lesson_id#33, course_id#34]\nPushedFilters: [*IsNotNull(user_id), *IsNotNull(course_id)]\nReadSchema: struct\n\n(22) HashAggregate [codegen id : 4]\nInput [3]: [user_id#32, lesson_id#33, course_id#34]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(23) Exchange\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: hashpartitioning(user_id#32, course_id#34, lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=925]\n\n(24) ShuffleQueryStage\nOutput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: 3\n\n(25) AQEShuffleRead\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: coalesced\n\n(26) HashAggregate [codegen id : 10]\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(27) HashAggregate [codegen id : 10]\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [partial_count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count#355L]\n\n(28) Exchange\nInput [3]: [user_id#32, course_id#34, count#355L]\nArguments: hashpartitioning(user_id#32, course_id#34, 200), ENSURE_REQUIREMENTS, [plan_id=1332]\n\n(29) ShuffleQueryStage\nOutput [3]: [user_id#32, course_id#34, count#355L]\nArguments: 7\n\n(30) HashAggregate\nInput [3]: [user_id#32, course_id#34, count#355L]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count(lesson_id#33)#157L AS lessons_viewed#156L]\n\n(31) BroadcastExchange\nInput [3]: [user_id#32, course_id#34, lessons_viewed#156L]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), true], input[1, decimal(20,0), true]),false), [plan_id=1344]\n\n(32) BroadcastHashJoin\nLeft keys [2]: [user_id#26, course_id#27]\nRight keys [2]: [user_id#32, course_id#34]\nJoin type: LeftOuter\nJoin condition: None\n\n(33) Project\nOutput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nInput [9]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0, user_id#32, course_id#34, lessons_viewed#156L]\n\n(34) LocalLimit\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: 21\n\n(35) Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [codegen id : 5]\nOutput [2]: [lesson_id#18, course_id#21]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(36) HashAggregate [codegen id : 5]\nInput [2]: [lesson_id#18, course_id#21]\nKeys [1]: [course_id#21]\nFunctions [1]: [partial_count(lesson_id#18)]\nAggregate Attributes [1]: [count#357L]\nResults [2]: [course_id#21, count#358L]\n\n(37) Exchange\nInput [2]: [course_id#21, count#358L]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=946]\n\n(38) ShuffleQueryStage\nOutput [2]: [course_id#21, count#358L]\nArguments: 4\n\n(39) AQEShuffleRead\nInput [2]: [course_id#21, count#358L]\nArguments: coalesced\n\n(40) HashAggregate [codegen id : 9]\nInput [2]: [course_id#21, count#358L]\nKeys [1]: [course_id#21]\nFunctions [1]: [count(lesson_id#18)]\nAggregate Attributes [1]: [count(lesson_id#18)#148L]\nResults [2]: [course_id#21, count(lesson_id#18)#148L AS lessons_in_course#149L]\n\n(41) BroadcastExchange\nInput [2]: [course_id#21, lessons_in_course#149L]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), true]),false), [plan_id=1272]\n\n(42) BroadcastQueryStage\nOutput [2]: [course_id#21, lessons_in_course#149L]\nArguments: 6\n\n(43) BroadcastHashJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#21]\nJoin type: LeftOuter\nJoin condition: None\n\n(44) Project\nOutput [7]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]\nInput [8]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L, course_id#21, lessons_in_course#149L]\n\n(45) CollectLimit\nInput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: 21\n\n(46) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=801]\n\n(47) Sort\nInput [2]: [user_id#26, course_id#27]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(48) Exchange\nInput [2]: [user_id#0, name#1]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=802]\n\n(49) Sort\nInput [2]: [user_id#0, name#1]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(50) SortMergeJoin\nLeft keys [1]: [user_id#26]\nRight keys [1]: [user_id#0]\nJoin type: Inner\nJoin condition: None\n\n(51) Project\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nInput [4]: [user_id#26, course_id#27, user_id#0, name#1]\n\n(52) Exchange\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=809]\n\n(53) Sort\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(54) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=810]\n\n(55) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(56) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(57) Project\nOutput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nInput [6]: [user_id#26, course_id#27, name#1, user_id#0, course_id#10, title#11]\n\n(58) LocalLimit\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: 21\n\n(59) Exchange\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=824]\n\n(60) Sort\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: [user_id#26 ASC NULLS FIRST, course_id#27 ASC NULLS FIRST], false, 0\n\n(61) Exchange\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: hashpartitioning(user_id#32, course_id#34, lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=816]\n\n(62) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(63) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [partial_count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count#355L]\n\n(64) Exchange\nInput [3]: [user_id#32, course_id#34, count#355L]\nArguments: hashpartitioning(user_id#32, course_id#34, 200), ENSURE_REQUIREMENTS, [plan_id=820]\n\n(65) HashAggregate\nInput [3]: [user_id#32, course_id#34, count#355L]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count(lesson_id#33)#157L AS lessons_viewed#156L]\n\n(66) Sort\nInput [3]: [user_id#32, course_id#34, lessons_viewed#156L]\nArguments: [user_id#32 ASC NULLS FIRST, course_id#34 ASC NULLS FIRST], false, 0\n\n(67) SortMergeJoin\nLeft keys [2]: [user_id#26, course_id#27]\nRight keys [2]: [user_id#32, course_id#34]\nJoin type: LeftOuter\nJoin condition: None\n\n(68) Project\nOutput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nInput [9]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0, user_id#32, course_id#34, lessons_viewed#156L]\n\n(69) LocalLimit\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: 21\n\n(70) Exchange\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=834]\n\n(71) Sort\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(72) Exchange\nInput [2]: [course_id#21, count#358L]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=830]\n\n(73) HashAggregate\nInput [2]: [course_id#21, count#358L]\nKeys [1]: [course_id#21]\nFunctions [1]: [count(lesson_id#18)]\nAggregate Attributes [1]: [count(lesson_id#18)#148L]\nResults [2]: [course_id#21, count(lesson_id#18)#148L AS lessons_in_course#149L]\n\n(74) Sort\nInput [2]: [course_id#21, lessons_in_course#149L]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(75) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#21]\nJoin type: LeftOuter\nJoin condition: None\n\n(76) Project\nOutput [7]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]\nInput [8]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L, course_id#21, lessons_in_course#149L]\n\n(77) CollectLimit\nInput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: 21\n\n(78) AdaptiveSparkPlan\nOutput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"CollectLimit","simpleString":"CollectLimit 21","children":[{"nodeName":"Project","simpleString":"Project [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#27], [course_id#21], LeftOuter, BuildRight, false","children":[{"nodeName":"LocalLimit","simpleString":"LocalLimit 21","children":[{"nodeName":"Project","simpleString":"Project [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [user_id#26, course_id#27], [user_id#32, course_id#34], LeftOuter, BuildRight, false","children":[{"nodeName":"LocalLimit","simpleString":"LocalLimit 21","children":[{"nodeName":"Project","simpleString":"Project [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#27], [course_id#10], Inner, BuildLeft, false","children":[{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 5","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[1, decimal(20,0), true]),false), [plan_id=1178]","children":[{"nodeName":"WholeStageCodegen (8)","simpleString":"WholeStageCodegen (8)","children":[{"nodeName":"Project","simpleString":"Project [user_id#26, course_id#27, name#1, user_id#0]","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [user_id#26], [user_id#0], Inner","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"WholeStageCodegen (6)","simpleString":"WholeStageCodegen (6)","children":[{"nodeName":"Sort","simpleString":"Sort [user_id#26 ASC NULLS FIRST], false, 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written","accumulatorId":1847,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":1841,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":1848,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":1842,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":1839,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":1836,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":1845,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":1838,"metricType":"sum"},{"name":"records read","accumulatorId":1835,"metricType":"sum"},{"name":"local bytes read","accumulatorId":1833,"metricType":"size"},{"name":"fetch wait time","accumulatorId":1834,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":1831,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":1837,"metricType":"sum"},{"name":"local blocks 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time","accumulatorId":2259,"metricType":"timing"},{"name":"peak memory","accumulatorId":2260,"metricType":"size"},{"name":"spill size","accumulatorId":2261,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":2258,"metricType":"timing"}]}],"metadata":{},"metrics":[]},{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"WholeStageCodegen (7)","simpleString":"WholeStageCodegen (7)","children":[{"nodeName":"Sort","simpleString":"Sort [user_id#0 ASC NULLS FIRST], false, 0","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 1","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=902]","children":[{"nodeName":"WholeStageCodegen (2)","simpleString":"WholeStageCodegen 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PushedFilters: [*IsNotNull(user_id), *IsNotNull(course_id)], ReadSchema: struct","children":[],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":1682,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":1678,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":1679,"metricType":"timing"},{"name":"peak memory","accumulatorId":1677,"metricType":"size"},{"name":"number of output rows","accumulatorId":1676,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":1681,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":1680,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":1967,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":1965,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":1959,"metricType":"sum"},{"name":"shuffle write 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Result Time":0,"Finish Time":1784266248790,"Failed":false,"Killed":false,"Accumulables":[{"ID":1948,"Name":"local blocks read","Update":"1","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1951,"Name":"local bytes read","Update":"4311","Value":"4311","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1952,"Name":"fetch wait time","Update":"0","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1953,"Name":"records read","Update":"54","Value":"54","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2414,"Name":"data size","Update":"1536","Value":"1536","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2433,"Name":"shuffle bytes written","Update":"1884","Value":"1884","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2434,"Name":"shuffle records written","Update":"24","Value":"24","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2435,"Name":"shuffle 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Values":true,"Metadata":"sql"},{"ID":2487,"Name":"internal.metrics.executorDeserializeTime","Update":15,"Value":15,"Internal":true,"Count Failed Values":true},{"ID":2488,"Name":"internal.metrics.executorDeserializeCpuTime","Update":7300066,"Value":7300066,"Internal":true,"Count Failed Values":true},{"ID":2489,"Name":"internal.metrics.executorRunTime","Update":50,"Value":50,"Internal":true,"Count Failed Values":true},{"ID":2490,"Name":"internal.metrics.executorCpuTime","Update":46108483,"Value":46108483,"Internal":true,"Count Failed Values":true},{"ID":2491,"Name":"internal.metrics.resultSize","Update":5560,"Value":5560,"Internal":true,"Count Failed Values":true},{"ID":2496,"Name":"internal.metrics.peakExecutionMemory","Update":524288,"Value":524288,"Internal":true,"Count Failed Values":true},{"ID":2498,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2499,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Update":1,"Value":1,"Internal":true,"Count Failed Values":true},{"ID":2500,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2501,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2502,"Name":"internal.metrics.shuffle.read.localBytesRead","Update":4311,"Value":4311,"Internal":true,"Count Failed Values":true},{"ID":2503,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2504,"Name":"internal.metrics.shuffle.read.recordsRead","Update":54,"Value":54,"Internal":true,"Count Failed Values":true},{"ID":2505,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2506,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2507,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2508,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2509,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2510,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2511,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2512,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2513,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2514,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2515,"Name":"internal.metrics.shuffle.write.bytesWritten","Update":1884,"Value":1884,"Internal":true,"Count Failed Values":true},{"ID":2516,"Name":"internal.metrics.shuffle.write.recordsWritten","Update":24,"Value":24,"Internal":true,"Count Failed Values":true},{"ID":2517,"Name":"internal.metrics.shuffle.write.writeTime","Update":4510558,"Value":4510558,"Internal":true,"Count Failed Values":true}]},"Task Executor Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":15,"Executor Deserialize CPU Time":7300066,"Executor Run Time":50,"Executor CPU Time":46108483,"Peak Execution Memory":524288,"Result Size":5560,"JVM GC Time":0,"Result Serialization Time":0,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":1,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":4311,"Total Records Read":54,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":1884,"Shuffle Write Time":4510558,"Shuffle Records Written":24},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}} {"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":35,"Stage Attempt ID":0,"Stage Name":"showString at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":69,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"155\",\"name\":\"Exchange\"}","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[68],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":67,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"160\",\"name\":\"AQEShuffleRead\"}","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[54],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":68,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"156\",\"name\":\"WholeStageCodegen (10)\"}","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[67],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[34],"Details":"org.apache.spark.sql.Dataset.showString(Dataset.scala:315)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784266248704,"Completion Time":1784266248790,"Accumulables":[{"ID":1948,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1951,"Name":"local bytes read","Value":"4311","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1952,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1953,"Name":"records read","Value":"54","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2414,"Name":"data size","Value":"1536","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2433,"Name":"shuffle bytes written","Value":"1884","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2434,"Name":"shuffle records written","Value":"24","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2435,"Name":"shuffle write time","Value":"4510558","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2436,"Name":"duration","Value":"16","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2437,"Name":"number of output rows","Value":"24","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2438,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2440,"Name":"time in aggregation build","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2443,"Name":"number of output rows","Value":"54","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2444,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2446,"Name":"time in aggregation build","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2487,"Name":"internal.metrics.executorDeserializeTime","Value":15,"Internal":true,"Count Failed Values":true},{"ID":2488,"Name":"internal.metrics.executorDeserializeCpuTime","Value":7300066,"Internal":true,"Count Failed Values":true},{"ID":2489,"Name":"internal.metrics.executorRunTime","Value":50,"Internal":true,"Count Failed Values":true},{"ID":2490,"Name":"internal.metrics.executorCpuTime","Value":46108483,"Internal":true,"Count Failed Values":true},{"ID":2491,"Name":"internal.metrics.resultSize","Value":5560,"Internal":true,"Count Failed Values":true},{"ID":2496,"Name":"internal.metrics.peakExecutionMemory","Value":524288,"Internal":true,"Count Failed Values":true},{"ID":2498,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2499,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":2500,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2501,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2502,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":4311,"Internal":true,"Count Failed Values":true},{"ID":2503,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2504,"Name":"internal.metrics.shuffle.read.recordsRead","Value":54,"Internal":true,"Count Failed Values":true},{"ID":2505,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2506,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2507,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2508,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2509,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2510,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2511,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2512,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2513,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2514,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2515,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":1884,"Internal":true,"Count Failed Values":true},{"ID":2516,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":24,"Internal":true,"Count Failed Values":true},{"ID":2517,"Name":"internal.metrics.shuffle.write.writeTime","Value":4510558,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}} {"Event":"SparkListenerJobEnd","Job ID":20,"Completion Time":1784266248791,"Job Result":{"Result":"JobSucceeded"}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":2,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (80)\n+- == Current Plan ==\n CollectLimit (47)\n +- Project (46)\n +- BroadcastHashJoin LeftOuter BuildRight (45)\n :- LocalLimit (36)\n : +- Project (35)\n : +- BroadcastHashJoin LeftOuter BuildRight (34)\n : :- LocalLimit (20)\n : : +- Project (19)\n : : +- BroadcastHashJoin Inner BuildLeft (18)\n : : :- BroadcastQueryStage (14), Statistics(sizeInBytes=2.0 MiB, rowCount=45)\n : : : +- BroadcastExchange (13)\n : : : +- * Project (12)\n : : : +- * SortMergeJoin Inner (11)\n : : : :- * Sort (5)\n : : : : +- AQEShuffleRead (4)\n : : : : +- ShuffleQueryStage (3), Statistics(sizeInBytes=2.5 KiB, rowCount=45)\n : : : : +- Exchange (2)\n : : : : +- * Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (1)\n : : : +- * Sort (10)\n : : : +- AQEShuffleRead (9)\n : : : +- ShuffleQueryStage (8), Statistics(sizeInBytes=960.0 B, rowCount=20)\n : : : +- Exchange (7)\n : : : +- * Scan JDBCRelation(core_dim_user) [numPartitions=1] (6)\n : : +- ShuffleQueryStage (17), Statistics(sizeInBytes=384.0 B, rowCount=5)\n : : +- Exchange (16)\n : : +- * Scan JDBCRelation(core_dim_course) [numPartitions=1] (15)\n : +- BroadcastQueryStage (33)\n : +- BroadcastExchange (32)\n : +- * HashAggregate (31)\n : +- AQEShuffleRead (30)\n : +- ShuffleQueryStage (29), Statistics(sizeInBytes=1536.0 B, rowCount=24)\n : +- Exchange (28)\n : +- * HashAggregate (27)\n : +- * HashAggregate (26)\n : +- AQEShuffleRead (25)\n : +- ShuffleQueryStage (24), Statistics(sizeInBytes=4.2 KiB, rowCount=54)\n : +- Exchange (23)\n : +- * HashAggregate (22)\n : +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (21)\n +- BroadcastQueryStage (44), Statistics(sizeInBytes=2.0 MiB, rowCount=5)\n +- BroadcastExchange (43)\n +- * HashAggregate (42)\n +- AQEShuffleRead (41)\n +- ShuffleQueryStage (40), Statistics(sizeInBytes=200.0 B, rowCount=5)\n +- Exchange (39)\n +- * HashAggregate (38)\n +- * Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (37)\n+- == Initial Plan ==\n CollectLimit (79)\n +- Project (78)\n +- SortMergeJoin LeftOuter (77)\n :- Sort (73)\n : +- Exchange (72)\n : +- LocalLimit (71)\n : +- Project (70)\n : +- SortMergeJoin LeftOuter (69)\n : :- Sort (62)\n : : +- Exchange (61)\n : : +- LocalLimit (60)\n : : +- Project (59)\n : : +- SortMergeJoin Inner (58)\n : : :- Sort (55)\n : : : +- Exchange (54)\n : : : +- Project (53)\n : : : +- SortMergeJoin Inner (52)\n : : : :- Sort (49)\n : : : : +- Exchange (48)\n : : : : +- Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (1)\n : : : +- Sort (51)\n : : : +- Exchange (50)\n : : : +- Scan JDBCRelation(core_dim_user) [numPartitions=1] (6)\n : : +- Sort (57)\n : : +- Exchange (56)\n : : +- Scan JDBCRelation(core_dim_course) [numPartitions=1] (15)\n : +- Sort (68)\n : +- HashAggregate (67)\n : +- Exchange (66)\n : +- HashAggregate (65)\n : +- HashAggregate (64)\n : +- Exchange (63)\n : +- HashAggregate (22)\n : +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (21)\n +- Sort (76)\n +- HashAggregate (75)\n +- Exchange (74)\n +- HashAggregate (38)\n +- Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (37)\n\n\n(1) Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] [codegen id : 1]\nOutput [2]: [user_id#26, course_id#27]\nPushedFilters: [*IsNotNull(user_id), *IsNotNull(course_id)]\nReadSchema: struct\n\n(2) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=895]\n\n(3) ShuffleQueryStage\nOutput [2]: [user_id#26, course_id#27]\nArguments: 0\n\n(4) AQEShuffleRead\nInput [2]: [user_id#26, course_id#27]\nArguments: coalesced\n\n(5) Sort [codegen id : 6]\nInput [2]: [user_id#26, course_id#27]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(6) Scan JDBCRelation(core_dim_user) [numPartitions=1] [codegen id : 2]\nOutput [2]: [user_id#0, name#1]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(7) Exchange\nInput [2]: [user_id#0, name#1]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=902]\n\n(8) ShuffleQueryStage\nOutput [2]: [user_id#0, name#1]\nArguments: 1\n\n(9) AQEShuffleRead\nInput [2]: [user_id#0, name#1]\nArguments: coalesced\n\n(10) Sort [codegen id : 7]\nInput [2]: [user_id#0, name#1]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(11) SortMergeJoin [codegen id : 8]\nLeft keys [1]: [user_id#26]\nRight keys [1]: [user_id#0]\nJoin type: Inner\nJoin condition: None\n\n(12) Project [codegen id : 8]\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nInput [4]: [user_id#26, course_id#27, user_id#0, name#1]\n\n(13) BroadcastExchange\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: HashedRelationBroadcastMode(List(input[1, decimal(20,0), true]),false), [plan_id=1178]\n\n(14) BroadcastQueryStage\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: 5\n\n(15) Scan JDBCRelation(core_dim_course) [numPartitions=1] [codegen id : 3]\nOutput [2]: [course_id#10, title#11]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(16) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=913]\n\n(17) ShuffleQueryStage\nOutput [2]: [course_id#10, title#11]\nArguments: 2\n\n(18) BroadcastHashJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(19) Project\nOutput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nInput [6]: [user_id#26, course_id#27, name#1, user_id#0, course_id#10, title#11]\n\n(20) LocalLimit\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: 21\n\n(21) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 4]\nOutput [3]: [user_id#32, lesson_id#33, course_id#34]\nPushedFilters: [*IsNotNull(user_id), *IsNotNull(course_id)]\nReadSchema: struct\n\n(22) HashAggregate [codegen id : 4]\nInput [3]: [user_id#32, lesson_id#33, course_id#34]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(23) Exchange\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: hashpartitioning(user_id#32, course_id#34, lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=925]\n\n(24) ShuffleQueryStage\nOutput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: 3\n\n(25) AQEShuffleRead\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: coalesced\n\n(26) HashAggregate [codegen id : 10]\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(27) HashAggregate [codegen id : 10]\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [partial_count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count#355L]\n\n(28) Exchange\nInput [3]: [user_id#32, course_id#34, count#355L]\nArguments: hashpartitioning(user_id#32, course_id#34, 200), ENSURE_REQUIREMENTS, [plan_id=1332]\n\n(29) ShuffleQueryStage\nOutput [3]: [user_id#32, course_id#34, count#355L]\nArguments: 7\n\n(30) AQEShuffleRead\nInput [3]: [user_id#32, course_id#34, count#355L]\nArguments: coalesced\n\n(31) HashAggregate [codegen id : 11]\nInput [3]: [user_id#32, course_id#34, count#355L]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count(lesson_id#33)#157L AS lessons_viewed#156L]\n\n(32) BroadcastExchange\nInput [3]: [user_id#32, course_id#34, lessons_viewed#156L]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), true], input[1, decimal(20,0), true]),false), [plan_id=1480]\n\n(33) BroadcastQueryStage\nOutput [3]: [user_id#32, course_id#34, lessons_viewed#156L]\nArguments: 8\n\n(34) BroadcastHashJoin\nLeft keys [2]: [user_id#26, course_id#27]\nRight keys [2]: [user_id#32, course_id#34]\nJoin type: LeftOuter\nJoin condition: None\n\n(35) Project\nOutput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nInput [9]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0, user_id#32, course_id#34, lessons_viewed#156L]\n\n(36) LocalLimit\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: 21\n\n(37) Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [codegen id : 5]\nOutput [2]: [lesson_id#18, course_id#21]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(38) HashAggregate [codegen id : 5]\nInput [2]: [lesson_id#18, course_id#21]\nKeys [1]: [course_id#21]\nFunctions [1]: [partial_count(lesson_id#18)]\nAggregate Attributes [1]: [count#357L]\nResults [2]: [course_id#21, count#358L]\n\n(39) Exchange\nInput [2]: [course_id#21, count#358L]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=946]\n\n(40) ShuffleQueryStage\nOutput [2]: [course_id#21, count#358L]\nArguments: 4\n\n(41) AQEShuffleRead\nInput [2]: [course_id#21, count#358L]\nArguments: coalesced\n\n(42) HashAggregate [codegen id : 9]\nInput [2]: [course_id#21, count#358L]\nKeys [1]: [course_id#21]\nFunctions [1]: [count(lesson_id#18)]\nAggregate Attributes [1]: [count(lesson_id#18)#148L]\nResults [2]: [course_id#21, count(lesson_id#18)#148L AS lessons_in_course#149L]\n\n(43) BroadcastExchange\nInput [2]: [course_id#21, lessons_in_course#149L]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), true]),false), [plan_id=1272]\n\n(44) BroadcastQueryStage\nOutput [2]: [course_id#21, lessons_in_course#149L]\nArguments: 6\n\n(45) BroadcastHashJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#21]\nJoin type: LeftOuter\nJoin condition: None\n\n(46) Project\nOutput [7]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]\nInput [8]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L, course_id#21, lessons_in_course#149L]\n\n(47) CollectLimit\nInput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: 21\n\n(48) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=801]\n\n(49) Sort\nInput [2]: [user_id#26, course_id#27]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(50) Exchange\nInput [2]: [user_id#0, name#1]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=802]\n\n(51) Sort\nInput [2]: [user_id#0, name#1]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(52) SortMergeJoin\nLeft keys [1]: [user_id#26]\nRight keys [1]: [user_id#0]\nJoin type: Inner\nJoin condition: None\n\n(53) Project\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nInput [4]: [user_id#26, course_id#27, user_id#0, name#1]\n\n(54) Exchange\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=809]\n\n(55) Sort\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(56) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=810]\n\n(57) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(58) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(59) Project\nOutput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nInput [6]: [user_id#26, course_id#27, name#1, user_id#0, course_id#10, title#11]\n\n(60) LocalLimit\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: 21\n\n(61) Exchange\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=824]\n\n(62) Sort\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: [user_id#26 ASC NULLS FIRST, course_id#27 ASC NULLS FIRST], false, 0\n\n(63) Exchange\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: hashpartitioning(user_id#32, course_id#34, lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=816]\n\n(64) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(65) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [partial_count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count#355L]\n\n(66) Exchange\nInput [3]: [user_id#32, course_id#34, count#355L]\nArguments: hashpartitioning(user_id#32, course_id#34, 200), ENSURE_REQUIREMENTS, [plan_id=820]\n\n(67) HashAggregate\nInput [3]: [user_id#32, course_id#34, count#355L]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count(lesson_id#33)#157L AS lessons_viewed#156L]\n\n(68) Sort\nInput [3]: [user_id#32, course_id#34, lessons_viewed#156L]\nArguments: [user_id#32 ASC NULLS FIRST, course_id#34 ASC NULLS FIRST], false, 0\n\n(69) SortMergeJoin\nLeft keys [2]: [user_id#26, course_id#27]\nRight keys [2]: [user_id#32, course_id#34]\nJoin type: LeftOuter\nJoin condition: None\n\n(70) Project\nOutput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nInput [9]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0, user_id#32, course_id#34, lessons_viewed#156L]\n\n(71) LocalLimit\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: 21\n\n(72) Exchange\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=834]\n\n(73) Sort\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(74) Exchange\nInput [2]: [course_id#21, count#358L]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=830]\n\n(75) HashAggregate\nInput [2]: [course_id#21, count#358L]\nKeys [1]: [course_id#21]\nFunctions [1]: [count(lesson_id#18)]\nAggregate Attributes [1]: [count(lesson_id#18)#148L]\nResults [2]: [course_id#21, count(lesson_id#18)#148L AS lessons_in_course#149L]\n\n(76) Sort\nInput [2]: [course_id#21, lessons_in_course#149L]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(77) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#21]\nJoin type: LeftOuter\nJoin condition: None\n\n(78) Project\nOutput [7]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]\nInput [8]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L, course_id#21, lessons_in_course#149L]\n\n(79) CollectLimit\nInput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: 21\n\n(80) AdaptiveSparkPlan\nOutput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"CollectLimit","simpleString":"CollectLimit 21","children":[{"nodeName":"Project","simpleString":"Project [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#27], [course_id#21], LeftOuter, BuildRight, false","children":[{"nodeName":"LocalLimit","simpleString":"LocalLimit 21","children":[{"nodeName":"Project","simpleString":"Project [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [user_id#26, course_id#27], [user_id#32, course_id#34], LeftOuter, BuildRight, false","children":[{"nodeName":"LocalLimit","simpleString":"LocalLimit 21","children":[{"nodeName":"Project","simpleString":"Project [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#27], [course_id#10], Inner, BuildLeft, false","children":[{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 5","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[1, decimal(20,0), true]),false), [plan_id=1178]","children":[{"nodeName":"WholeStageCodegen (8)","simpleString":"WholeStageCodegen (8)","children":[{"nodeName":"Project","simpleString":"Project [user_id#26, course_id#27, name#1, user_id#0]","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [user_id#26], [user_id#0], Inner","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"WholeStageCodegen (6)","simpleString":"WholeStageCodegen (6)","children":[{"nodeName":"Sort","simpleString":"Sort [user_id#26 ASC NULLS FIRST], false, 0","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=895]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] ","simpleString":"Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] [user_id#26,course_id#27] PushedFilters: [*IsNotNull(user_id), *IsNotNull(course_id)], ReadSchema: struct","children":[],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":1558,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":1849,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":1847,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":1841,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":1848,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":1842,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":1839,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":1836,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":1845,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":1838,"metricType":"sum"},{"name":"records read","accumulatorId":1835,"metricType":"sum"},{"name":"local bytes read","accumulatorId":1833,"metricType":"size"},{"name":"fetch wait time","accumulatorId":1834,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":1831,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":1837,"metricType":"sum"},{"name":"local blocks read","accumulatorId":1830,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":1840,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":1829,"metricType":"sum"},{"name":"data size","accumulatorId":1827,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":1843,"metricType":"size"},{"name":"number of partitions","accumulatorId":1828,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":1844,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":1832,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":1846,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of partitions","accumulatorId":2262,"metricType":"sum"},{"name":"partition data size","accumulatorId":2263,"metricType":"size"},{"name":"number of coalesced partitions","accumulatorId":2264,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":2259,"metricType":"timing"},{"name":"peak memory","accumulatorId":2260,"metricType":"size"},{"name":"spill size","accumulatorId":2261,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":2258,"metricType":"timing"}]}],"metadata":{},"metrics":[]},{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"WholeStageCodegen (7)","simpleString":"WholeStageCodegen (7)","children":[{"nodeName":"Sort","simpleString":"Sort [user_id#0 ASC NULLS FIRST], false, 0","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 1","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=902]","children":[{"nodeName":"WholeStageCodegen (2)","simpleString":"WholeStageCodegen (2)","children":[{"nodeName":"Scan JDBCRelation(core_dim_user) [numPartitions=1] ","simpleString":"Scan JDBCRelation(core_dim_user) [numPartitions=1] [user_id#0,name#1] PushedFilters: [*IsNotNull(user_id)], ReadSchema: struct","children":[],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":1584,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":1875,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":1873,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":1867,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":1874,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":1868,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":1865,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":1862,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":1871,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":1864,"metricType":"sum"},{"name":"records read","accumulatorId":1861,"metricType":"sum"},{"name":"local bytes read","accumulatorId":1859,"metricType":"size"},{"name":"fetch wait time","accumulatorId":1860,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":1857,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":1863,"metricType":"sum"},{"name":"local blocks read","accumulatorId":1856,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":1866,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":1855,"metricType":"sum"},{"name":"data size","accumulatorId":1853,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":1869,"metricType":"size"},{"name":"number of partitions","accumulatorId":1854,"metricType":"sum"},{"name":"remote reqs 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Values":true},{"ID":2580,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2581,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2582,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2583,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2584,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2585,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":2586,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true}]},"Task Executor Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":13,"Executor Deserialize CPU Time":7395341,"Executor Run Time":19,"Executor CPU Time":17278664,"Peak Execution Memory":4456432,"Result Size":7206,"JVM GC Time":0,"Result Serialization Time":0,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":1,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":1884,"Total Records Read":24,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":0,"Shuffle Write Time":0,"Shuffle Records Written":0},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}} {"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":38,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":72,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"180\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[71],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":71,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"181\",\"name\":\"WholeStageCodegen (11)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[70],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":70,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"184\",\"name\":\"AQEShuffleRead\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[69],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[37],"Details":"org.apache.spark.sql.execution.SQLExecution$.$anonfun$withThreadLocalCaptured$1(SQLExecution.scala:219)\njava.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)\njava.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)\njava.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784266248826,"Completion Time":1784266248869,"Accumulables":[{"ID":2417,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2420,"Name":"local bytes read","Value":"1884","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2421,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2422,"Name":"records read","Value":"24","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2549,"Name":"duration","Value":"4","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2550,"Name":"number of output rows","Value":"24","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2551,"Name":"peak memory","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2553,"Name":"time in aggregation build","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2554,"Name":"avg hash probes per key","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2559,"Name":"internal.metrics.executorDeserializeTime","Value":13,"Internal":true,"Count Failed Values":true},{"ID":2560,"Name":"internal.metrics.executorDeserializeCpuTime","Value":7395341,"Internal":true,"Count Failed Values":true},{"ID":2561,"Name":"internal.metrics.executorRunTime","Value":19,"Internal":true,"Count Failed Values":true},{"ID":2562,"Name":"internal.metrics.executorCpuTime","Value":17278664,"Internal":true,"Count Failed Values":true},{"ID":2563,"Name":"internal.metrics.resultSize","Value":7206,"Internal":true,"Count Failed Values":true},{"ID":2568,"Name":"internal.metrics.peakExecutionMemory","Value":4456432,"Internal":true,"Count Failed Values":true},{"ID":2570,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2571,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":2572,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2573,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2574,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":1884,"Internal":true,"Count Failed Values":true},{"ID":2575,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2576,"Name":"internal.metrics.shuffle.read.recordsRead","Value":24,"Internal":true,"Count Failed Values":true},{"ID":2577,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2578,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2579,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2580,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2581,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2582,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2583,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2584,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2585,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":2586,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}} {"Event":"SparkListenerJobEnd","Job ID":21,"Completion Time":1784266248869,"Job Result":{"Result":"JobSucceeded"}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":2,"accumUpdates":[[2548,2],[2547,11],[2546,63],[2545,24],[2544,2098160]]} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":2,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (81)\n+- == Final Plan ==\n CollectLimit (48)\n +- * Project (47)\n +- * BroadcastHashJoin LeftOuter BuildRight (46)\n :- * LocalLimit (37)\n : +- * Project (36)\n : +- * BroadcastHashJoin LeftOuter BuildRight (35)\n : :- * LocalLimit (21)\n : : +- * Project (20)\n : : +- * BroadcastHashJoin Inner BuildLeft (19)\n : : :- BroadcastQueryStage (14), Statistics(sizeInBytes=2.0 MiB, rowCount=45)\n : : : +- BroadcastExchange (13)\n : : : +- * Project (12)\n : : : +- * SortMergeJoin Inner (11)\n : : : :- * Sort (5)\n : : : : +- AQEShuffleRead (4)\n : : : : +- ShuffleQueryStage (3), Statistics(sizeInBytes=2.5 KiB, rowCount=45)\n : : : : +- Exchange (2)\n : : : : +- * Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (1)\n : : : +- * Sort (10)\n : : : +- AQEShuffleRead (9)\n : : : +- ShuffleQueryStage (8), Statistics(sizeInBytes=960.0 B, rowCount=20)\n : : : +- Exchange (7)\n : : : +- * Scan JDBCRelation(core_dim_user) [numPartitions=1] (6)\n : : +- AQEShuffleRead (18)\n : : +- ShuffleQueryStage (17), Statistics(sizeInBytes=384.0 B, rowCount=5)\n : : +- Exchange (16)\n : : +- * Scan JDBCRelation(core_dim_course) [numPartitions=1] (15)\n : +- BroadcastQueryStage (34), Statistics(sizeInBytes=2.0 MiB, rowCount=24)\n : +- BroadcastExchange (33)\n : +- * HashAggregate (32)\n : +- AQEShuffleRead (31)\n : +- ShuffleQueryStage (30), Statistics(sizeInBytes=1536.0 B, rowCount=24)\n : +- Exchange (29)\n : +- * HashAggregate (28)\n : +- * HashAggregate (27)\n : +- AQEShuffleRead (26)\n : +- ShuffleQueryStage (25), Statistics(sizeInBytes=4.2 KiB, rowCount=54)\n : +- Exchange (24)\n : +- * HashAggregate (23)\n : +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (22)\n +- BroadcastQueryStage (45), Statistics(sizeInBytes=2.0 MiB, rowCount=5)\n +- BroadcastExchange (44)\n +- * HashAggregate (43)\n +- AQEShuffleRead (42)\n +- ShuffleQueryStage (41), Statistics(sizeInBytes=200.0 B, rowCount=5)\n +- Exchange (40)\n +- * HashAggregate (39)\n +- * Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (38)\n+- == Initial Plan ==\n CollectLimit (80)\n +- Project (79)\n +- SortMergeJoin LeftOuter (78)\n :- Sort (74)\n : +- Exchange (73)\n : +- LocalLimit (72)\n : +- Project (71)\n : +- SortMergeJoin LeftOuter (70)\n : :- Sort (63)\n : : +- Exchange (62)\n : : +- LocalLimit (61)\n : : +- Project (60)\n : : +- SortMergeJoin Inner (59)\n : : :- Sort (56)\n : : : +- Exchange (55)\n : : : +- Project (54)\n : : : +- SortMergeJoin Inner (53)\n : : : :- Sort (50)\n : : : : +- Exchange (49)\n : : : : +- Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] (1)\n : : : +- Sort (52)\n : : : +- Exchange (51)\n : : : +- Scan JDBCRelation(core_dim_user) [numPartitions=1] (6)\n : : +- Sort (58)\n : : +- Exchange (57)\n : : +- Scan JDBCRelation(core_dim_course) [numPartitions=1] (15)\n : +- Sort (69)\n : +- HashAggregate (68)\n : +- Exchange (67)\n : +- HashAggregate (66)\n : +- HashAggregate (65)\n : +- Exchange (64)\n : +- HashAggregate (23)\n : +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (22)\n +- Sort (77)\n +- HashAggregate (76)\n +- Exchange (75)\n +- HashAggregate (39)\n +- Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (38)\n\n\n(1) Scan JDBCRelation(core_fact_enrollments) [numPartitions=1] [codegen id : 1]\nOutput [2]: [user_id#26, course_id#27]\nPushedFilters: [*IsNotNull(user_id), *IsNotNull(course_id)]\nReadSchema: struct\n\n(2) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=895]\n\n(3) ShuffleQueryStage\nOutput [2]: [user_id#26, course_id#27]\nArguments: 0\n\n(4) AQEShuffleRead\nInput [2]: [user_id#26, course_id#27]\nArguments: coalesced\n\n(5) Sort [codegen id : 6]\nInput [2]: [user_id#26, course_id#27]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(6) Scan JDBCRelation(core_dim_user) [numPartitions=1] [codegen id : 2]\nOutput [2]: [user_id#0, name#1]\nPushedFilters: [*IsNotNull(user_id)]\nReadSchema: struct\n\n(7) Exchange\nInput [2]: [user_id#0, name#1]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=902]\n\n(8) ShuffleQueryStage\nOutput [2]: [user_id#0, name#1]\nArguments: 1\n\n(9) AQEShuffleRead\nInput [2]: [user_id#0, name#1]\nArguments: coalesced\n\n(10) Sort [codegen id : 7]\nInput [2]: [user_id#0, name#1]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(11) SortMergeJoin [codegen id : 8]\nLeft keys [1]: [user_id#26]\nRight keys [1]: [user_id#0]\nJoin type: Inner\nJoin condition: None\n\n(12) Project [codegen id : 8]\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nInput [4]: [user_id#26, course_id#27, user_id#0, name#1]\n\n(13) BroadcastExchange\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: HashedRelationBroadcastMode(List(input[1, decimal(20,0), true]),false), [plan_id=1178]\n\n(14) BroadcastQueryStage\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: 5\n\n(15) Scan JDBCRelation(core_dim_course) [numPartitions=1] [codegen id : 3]\nOutput [2]: [course_id#10, title#11]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(16) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=913]\n\n(17) ShuffleQueryStage\nOutput [2]: [course_id#10, title#11]\nArguments: 2\n\n(18) AQEShuffleRead\nInput [2]: [course_id#10, title#11]\nArguments: local\n\n(19) BroadcastHashJoin [codegen id : 12]\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(20) Project [codegen id : 12]\nOutput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nInput [6]: [user_id#26, course_id#27, name#1, user_id#0, course_id#10, title#11]\n\n(21) LocalLimit [codegen id : 12]\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: 21\n\n(22) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 4]\nOutput [3]: [user_id#32, lesson_id#33, course_id#34]\nPushedFilters: [*IsNotNull(user_id), *IsNotNull(course_id)]\nReadSchema: struct\n\n(23) HashAggregate [codegen id : 4]\nInput [3]: [user_id#32, lesson_id#33, course_id#34]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(24) Exchange\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: hashpartitioning(user_id#32, course_id#34, lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=925]\n\n(25) ShuffleQueryStage\nOutput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: 3\n\n(26) AQEShuffleRead\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: coalesced\n\n(27) HashAggregate [codegen id : 10]\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(28) HashAggregate [codegen id : 10]\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [partial_count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count#355L]\n\n(29) Exchange\nInput [3]: [user_id#32, course_id#34, count#355L]\nArguments: hashpartitioning(user_id#32, course_id#34, 200), ENSURE_REQUIREMENTS, [plan_id=1332]\n\n(30) ShuffleQueryStage\nOutput [3]: [user_id#32, course_id#34, count#355L]\nArguments: 7\n\n(31) AQEShuffleRead\nInput [3]: [user_id#32, course_id#34, count#355L]\nArguments: coalesced\n\n(32) HashAggregate [codegen id : 11]\nInput [3]: [user_id#32, course_id#34, count#355L]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count(lesson_id#33)#157L AS lessons_viewed#156L]\n\n(33) BroadcastExchange\nInput [3]: [user_id#32, course_id#34, lessons_viewed#156L]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), true], input[1, decimal(20,0), true]),false), [plan_id=1480]\n\n(34) BroadcastQueryStage\nOutput [3]: [user_id#32, course_id#34, lessons_viewed#156L]\nArguments: 8\n\n(35) BroadcastHashJoin [codegen id : 12]\nLeft keys [2]: [user_id#26, course_id#27]\nRight keys [2]: [user_id#32, course_id#34]\nJoin type: LeftOuter\nJoin condition: None\n\n(36) Project [codegen id : 12]\nOutput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nInput [9]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0, user_id#32, course_id#34, lessons_viewed#156L]\n\n(37) LocalLimit [codegen id : 12]\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: 21\n\n(38) Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [codegen id : 5]\nOutput [2]: [lesson_id#18, course_id#21]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(39) HashAggregate [codegen id : 5]\nInput [2]: [lesson_id#18, course_id#21]\nKeys [1]: [course_id#21]\nFunctions [1]: [partial_count(lesson_id#18)]\nAggregate Attributes [1]: [count#357L]\nResults [2]: [course_id#21, count#358L]\n\n(40) Exchange\nInput [2]: [course_id#21, count#358L]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=946]\n\n(41) ShuffleQueryStage\nOutput [2]: [course_id#21, count#358L]\nArguments: 4\n\n(42) AQEShuffleRead\nInput [2]: [course_id#21, count#358L]\nArguments: coalesced\n\n(43) HashAggregate [codegen id : 9]\nInput [2]: [course_id#21, count#358L]\nKeys [1]: [course_id#21]\nFunctions [1]: [count(lesson_id#18)]\nAggregate Attributes [1]: [count(lesson_id#18)#148L]\nResults [2]: [course_id#21, count(lesson_id#18)#148L AS lessons_in_course#149L]\n\n(44) BroadcastExchange\nInput [2]: [course_id#21, lessons_in_course#149L]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), true]),false), [plan_id=1272]\n\n(45) BroadcastQueryStage\nOutput [2]: [course_id#21, lessons_in_course#149L]\nArguments: 6\n\n(46) BroadcastHashJoin [codegen id : 12]\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#21]\nJoin type: LeftOuter\nJoin condition: None\n\n(47) Project [codegen id : 12]\nOutput [7]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]\nInput [8]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L, course_id#21, lessons_in_course#149L]\n\n(48) CollectLimit\nInput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: 21\n\n(49) Exchange\nInput [2]: [user_id#26, course_id#27]\nArguments: hashpartitioning(user_id#26, 200), ENSURE_REQUIREMENTS, [plan_id=801]\n\n(50) Sort\nInput [2]: [user_id#26, course_id#27]\nArguments: [user_id#26 ASC NULLS FIRST], false, 0\n\n(51) Exchange\nInput [2]: [user_id#0, name#1]\nArguments: hashpartitioning(user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=802]\n\n(52) Sort\nInput [2]: [user_id#0, name#1]\nArguments: [user_id#0 ASC NULLS FIRST], false, 0\n\n(53) SortMergeJoin\nLeft keys [1]: [user_id#26]\nRight keys [1]: [user_id#0]\nJoin type: Inner\nJoin condition: None\n\n(54) Project\nOutput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nInput [4]: [user_id#26, course_id#27, user_id#0, name#1]\n\n(55) Exchange\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=809]\n\n(56) Sort\nInput [4]: [user_id#26, course_id#27, name#1, user_id#0]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(57) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=810]\n\n(58) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(59) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(60) Project\nOutput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nInput [6]: [user_id#26, course_id#27, name#1, user_id#0, course_id#10, title#11]\n\n(61) LocalLimit\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: 21\n\n(62) Exchange\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: hashpartitioning(user_id#26, course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=824]\n\n(63) Sort\nInput [6]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0]\nArguments: [user_id#26 ASC NULLS FIRST, course_id#27 ASC NULLS FIRST], false, 0\n\n(64) Exchange\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nArguments: hashpartitioning(user_id#32, course_id#34, lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=816]\n\n(65) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [3]: [user_id#32, course_id#34, lesson_id#33]\nFunctions: []\nAggregate Attributes: []\nResults [3]: [user_id#32, course_id#34, lesson_id#33]\n\n(66) HashAggregate\nInput [3]: [user_id#32, course_id#34, lesson_id#33]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [partial_count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count#355L]\n\n(67) Exchange\nInput [3]: [user_id#32, course_id#34, count#355L]\nArguments: hashpartitioning(user_id#32, course_id#34, 200), ENSURE_REQUIREMENTS, [plan_id=820]\n\n(68) HashAggregate\nInput [3]: [user_id#32, course_id#34, count#355L]\nKeys [2]: [user_id#32, course_id#34]\nFunctions [1]: [count(distinct lesson_id#33)]\nAggregate Attributes [1]: [count(lesson_id#33)#157L]\nResults [3]: [user_id#32, course_id#34, count(lesson_id#33)#157L AS lessons_viewed#156L]\n\n(69) Sort\nInput [3]: [user_id#32, course_id#34, lessons_viewed#156L]\nArguments: [user_id#32 ASC NULLS FIRST, course_id#34 ASC NULLS FIRST], false, 0\n\n(70) SortMergeJoin\nLeft keys [2]: [user_id#26, course_id#27]\nRight keys [2]: [user_id#32, course_id#34]\nJoin type: LeftOuter\nJoin condition: None\n\n(71) Project\nOutput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nInput [9]: [course_id#27, user_id#26, name#1, title#11, course_id#10, user_id#0, user_id#32, course_id#34, lessons_viewed#156L]\n\n(72) LocalLimit\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: 21\n\n(73) Exchange\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: hashpartitioning(course_id#27, 200), ENSURE_REQUIREMENTS, [plan_id=834]\n\n(74) Sort\nInput [6]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]\nArguments: [course_id#27 ASC NULLS FIRST], false, 0\n\n(75) Exchange\nInput [2]: [course_id#21, count#358L]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=830]\n\n(76) HashAggregate\nInput [2]: [course_id#21, count#358L]\nKeys [1]: [course_id#21]\nFunctions [1]: [count(lesson_id#18)]\nAggregate Attributes [1]: [count(lesson_id#18)#148L]\nResults [2]: [course_id#21, count(lesson_id#18)#148L AS lessons_in_course#149L]\n\n(77) Sort\nInput [2]: [course_id#21, lessons_in_course#149L]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(78) SortMergeJoin\nLeft keys [1]: [course_id#27]\nRight keys [1]: [course_id#21]\nJoin type: LeftOuter\nJoin condition: None\n\n(79) Project\nOutput [7]: [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]\nInput [8]: [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L, course_id#21, lessons_in_course#149L]\n\n(80) CollectLimit\nInput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: 21\n\n(81) AdaptiveSparkPlan\nOutput [7]: [toprettystring(user_id)#339, toprettystring(user_name)#340, toprettystring(course_id)#341, toprettystring(course_title)#342, toprettystring(lessons_in_course)#343, toprettystring(lessons_viewed)#344, toprettystring(completion_rate)#345]\nArguments: isFinalPlan=true\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=true","children":[{"nodeName":"CollectLimit","simpleString":"CollectLimit 21","children":[{"nodeName":"WholeStageCodegen (12)","simpleString":"WholeStageCodegen (12)","children":[{"nodeName":"Project","simpleString":"Project [toprettystring(user_id#0, Some(Europe/Samara)) AS toprettystring(user_id)#339, toprettystring(name#1, Some(Europe/Samara)) AS toprettystring(user_name)#340, toprettystring(course_id#10, Some(Europe/Samara)) AS toprettystring(course_id)#341, toprettystring(title#11, Some(Europe/Samara)) AS toprettystring(course_title)#342, toprettystring(lessons_in_course#149L, Some(Europe/Samara)) AS toprettystring(lessons_in_course)#343, toprettystring(coalesce(lessons_viewed#156L, 0), Some(Europe/Samara)) AS toprettystring(lessons_viewed)#344, toprettystring(round((cast(coalesce(lessons_viewed#156L, 0) as double) / cast(lessons_in_course#149L as double)), 2), Some(Europe/Samara)) AS toprettystring(completion_rate)#345]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#27], [course_id#21], LeftOuter, BuildRight, false","children":[{"nodeName":"LocalLimit","simpleString":"LocalLimit 21","children":[{"nodeName":"Project","simpleString":"Project [course_id#27, name#1, title#11, course_id#10, user_id#0, lessons_viewed#156L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [user_id#26, course_id#27], [user_id#32, course_id#34], LeftOuter, BuildRight, false","children":[{"nodeName":"LocalLimit","simpleString":"LocalLimit 21","children":[{"nodeName":"Project","simpleString":"Project [course_id#27, user_id#26, name#1, title#11, course_id#10, 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written","accumulatorId":1847,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":1841,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":1848,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":1842,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":1839,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":1836,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":1845,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":1838,"metricType":"sum"},{"name":"records read","accumulatorId":1835,"metricType":"sum"},{"name":"local bytes read","accumulatorId":1833,"metricType":"size"},{"name":"fetch wait time","accumulatorId":1834,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":1831,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":1837,"metricType":"sum"},{"name":"local blocks 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Tasks":1,"RDD Info":[{"RDD ID":75,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"213\",\"name\":\"mapPartitionsInternal\"}","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[74],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":73,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"212\",\"name\":\"AQEShuffleRead\"}","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[52],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":74,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"194\",\"name\":\"WholeStageCodegen (12)\"}","Callsite":"showString at NativeMethodAccessorImpl.java:0","Parent IDs":[73],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[39],"Details":"org.apache.spark.sql.Dataset.showString(Dataset.scala:315)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784266248948,"Completion Time":1784266249013,"Accumulables":[{"ID":1882,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1885,"Name":"local bytes read","Value":"554","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1886,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1887,"Name":"records read","Value":"3","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2615,"Name":"number of output rows","Value":"21","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2616,"Name":"number of output rows","Value":"21","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2617,"Name":"number of output rows","Value":"29","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2619,"Name":"internal.metrics.executorDeserializeTime","Value":8,"Internal":true,"Count Failed Values":true},{"ID":2620,"Name":"internal.metrics.executorDeserializeCpuTime","Value":4652697,"Internal":true,"Count Failed Values":true},{"ID":2621,"Name":"internal.metrics.executorRunTime","Value":47,"Internal":true,"Count Failed Values":true},{"ID":2622,"Name":"internal.metrics.executorCpuTime","Value":27200118,"Internal":true,"Count Failed Values":true},{"ID":2623,"Name":"internal.metrics.resultSize","Value":4011,"Internal":true,"Count Failed Values":true},{"ID":2628,"Name":"internal.metrics.peakExecutionMemory","Value":12585936,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}} {"Event":"SparkListenerJobEnd","Job ID":22,"Completion Time":1784266249013,"Job Result":{"Result":"JobSucceeded"}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionEnd","executionId":2,"time":1784266249023,"errorMessage":""} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionStart","executionId":3,"rootExecutionId":3,"description":"save at NativeMethodAccessorImpl.java:0","details":"org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:248)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","physicalPlanDescription":"== Physical Plan ==\nExecute SaveIntoDataSourceCommand (1)\n +- SaveIntoDataSourceCommand (2)\n +- Project (12)\n +- Aggregate (11)\n +- Join (10)\n :- Join (7)\n : :- SubqueryAlias (4)\n : : +- LogicalRelation (3)\n : +- SubqueryAlias (6)\n : +- LogicalRelation (5)\n +- SubqueryAlias (9)\n +- LogicalRelation (8)\n\n\n(1) Execute SaveIntoDataSourceCommand\nOutput: []\n\n(2) SaveIntoDataSourceCommand\nArguments: org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider@6cc01bec, [url=*********(redacted), driver=com.clickhouse.jdbc.ClickHouseDriver, dbtable=dm_lesson_popularity_summary, user=anazarenko, password=*********(redacted)], Append\n\n(3) LogicalRelation\nArguments: JDBCRelation(core_dim_lesson) [numPartitions=1], [lesson_id#18, title#19, duration_min#20L, course_id#21], false\n\n(4) SubqueryAlias\nArguments: l\n\n(5) LogicalRelation\nArguments: JDBCRelation(core_dim_course) [numPartitions=1], [course_id#10, title#11, category#12, created_at#13], false\n\n(6) SubqueryAlias\nArguments: c\n\n(7) Join\nArguments: Inner, (course_id#10 = course_id#21)\n\n(8) LogicalRelation\nArguments: JDBCRelation(core_fact_lesson_views) [numPartitions=1], [user_id#32, lesson_id#33, course_id#34, viewed_at#35], false\n\n(9) SubqueryAlias\nArguments: lv\n\n(10) Join\nArguments: LeftOuter, (lesson_id#18 = lesson_id#33)\n\n(11) Aggregate\nArguments: [lesson_id#18, title#19, title#11, course_id#21], [lesson_id#18, title#19, title#11, course_id#21, count(lesson_id#33) AS total_views#93L, count(distinct user_id#32) AS unique_users#94L, min(viewed_at#35) AS first_view#96, max(viewed_at#35) AS last_view#98]\n\n(12) Project\nArguments: [lesson_id#18, title#19 AS lesson_title#108, course_id#21, title#11 AS course_title#109, total_views#93L, unique_users#94L, first_view#96, last_view#98]\n\n","sparkPlanInfo":{"nodeName":"Execute SaveIntoDataSourceCommand","simpleString":"Execute SaveIntoDataSourceCommand","children":[],"metadata":{},"metrics":[]},"time":1784266249047,"modifiedConfigs":{},"jobTags":[]} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionStart","executionId":4,"rootExecutionId":3,"description":"save at NativeMethodAccessorImpl.java:0","details":"org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:248)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (20)\n+- DeserializeToObject (19)\n +- HashAggregate (18)\n +- HashAggregate (17)\n +- HashAggregate (16)\n +- HashAggregate (15)\n +- SortMergeJoin LeftOuter (14)\n :- Sort (10)\n : +- Exchange (9)\n : +- Project (8)\n : +- SortMergeJoin Inner (7)\n : :- Sort (3)\n : : +- Exchange (2)\n : : +- Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (1)\n : +- Sort (6)\n : +- Exchange (5)\n : +- Scan JDBCRelation(core_dim_course) [numPartitions=1] (4)\n +- Sort (13)\n +- Exchange (12)\n +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (11)\n\n\n(1) Scan JDBCRelation(core_dim_lesson) [numPartitions=1] \nOutput [3]: [lesson_id#18, title#19, course_id#21]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(2) Exchange\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=1606]\n\n(3) Sort\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(4) Scan JDBCRelation(core_dim_course) [numPartitions=1] \nOutput [2]: [course_id#10, title#11]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(5) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=1607]\n\n(6) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(7) SortMergeJoin\nLeft keys [1]: [course_id#21]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(8) Project\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nInput [5]: [lesson_id#18, title#19, course_id#21, course_id#10, title#11]\n\n(9) Exchange\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=1614]\n\n(10) Sort\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: [lesson_id#18 ASC NULLS FIRST], false, 0\n\n(11) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] \nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nPushedFilters: [*IsNotNull(lesson_id)]\nReadSchema: struct\n\n(12) Exchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=1615]\n\n(13) Sort\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: [lesson_id#33 ASC NULLS FIRST], false, 0\n\n(14) SortMergeJoin\nLeft keys [1]: [lesson_id#18]\nRight keys [1]: [lesson_id#33]\nJoin type: LeftOuter\nJoin condition: None\n\n(15) HashAggregate\nInput [7]: [lesson_id#18, title#19, course_id#21, title#11, user_id#32, lesson_id#33, viewed_at#35]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(16) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(17) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\n\n(18) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19 AS lesson_title#108, course_id#21, title#11 AS course_title#109, count(lesson_id#33)#92L AS total_views#93L, count(user_id#32)#99L AS unique_users#94L, min(viewed_at#35)#95 AS first_view#96, max(viewed_at#35)#97 AS last_view#98]\n\n(19) DeserializeToObject\nInput [8]: [lesson_id#18, lesson_title#108, course_id#21, course_title#109, total_views#93L, unique_users#94L, first_view#96, last_view#98]\nArguments: createexternalrow(lesson_id#18.toJavaBigDecimal, lesson_title#108.toString, course_id#21.toJavaBigDecimal, course_title#109.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, total_views#93L, true, false, true), staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, unique_users#94L, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, first_view#96, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, last_view#98, true, false, true), StructField(lesson_id,DecimalType(20,0),true), StructField(lesson_title,StringType,true), StructField(course_id,DecimalType(20,0),true), StructField(course_title,StringType,true), StructField(total_views,LongType,false), StructField(unique_users,LongType,false), StructField(first_view,TimestampType,true), StructField(last_view,TimestampType,true)), obj#391: org.apache.spark.sql.Row\n\n(20) AdaptiveSparkPlan\nOutput [1]: [obj#391]\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"DeserializeToObject","simpleString":"DeserializeToObject createexternalrow(lesson_id#18.toJavaBigDecimal, lesson_title#108.toString, course_id#21.toJavaBigDecimal, course_title#109.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, total_views#93L, true, false, true), staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, unique_users#94L, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, first_view#96, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, last_view#98, true, false, true), StructField(lesson_id,DecimalType(20,0),true), StructField(lesson_title,StringType,true), StructField(course_id,DecimalType(20,0),true), StructField(course_title,StringType,true), StructField(total_views,LongType,false), StructField(unique_users,LongType,false), StructField(first_view,TimestampType,true), StructField(last_view,TimestampType,true)), obj#391: org.apache.spark.sql.Row","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21], functions=[count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21], functions=[merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21, user_id#32], functions=[merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21, user_id#32], functions=[partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)])","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [lesson_id#18], [lesson_id#33], LeftOuter","children":[{"nodeName":"Sort","simpleString":"Sort [lesson_id#18 ASC NULLS FIRST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=1614]","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#18, title#19, course_id#21, title#11]","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [course_id#21], [course_id#10], Inner","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#21 ASC NULLS FIRST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange 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duration","accumulatorId":2727,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":2715,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":2729,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":2707,"metricType":"timing"},{"name":"peak memory","accumulatorId":2708,"metricType":"size"},{"name":"spill size","accumulatorId":2709,"metricType":"size"}]},{"nodeName":"Sort","simpleString":"Sort [course_id#10 ASC NULLS FIRST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=1607]","children":[{"nodeName":"Scan JDBCRelation(core_dim_course) [numPartitions=1] ","simpleString":"Scan JDBCRelation(core_dim_course) [numPartitions=1] [course_id#10,title#11] PushedFilters: [*IsNotNull(course_id)], ReadSchema: struct","children":[],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":2758,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":2756,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":2750,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":2757,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":2751,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":2748,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":2745,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":2754,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":2747,"metricType":"sum"},{"name":"records read","accumulatorId":2744,"metricType":"sum"},{"name":"local bytes read","accumulatorId":2742,"metricType":"size"},{"name":"fetch wait time","accumulatorId":2743,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":2740,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":2746,"metricType":"sum"},{"name":"local blocks read","accumulatorId":2739,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":2749,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":2738,"metricType":"sum"},{"name":"data size","accumulatorId":2736,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":2752,"metricType":"size"},{"name":"number of partitions","accumulatorId":2737,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":2753,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":2741,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":2755,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":2733,"metricType":"timing"},{"name":"peak memory","accumulatorId":2734,"metricType":"size"},{"name":"spill size","accumulatorId":2735,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":2705,"metricType":"sum"},{"name":"spill size","accumulatorId":2706,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":2703,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":2697,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":2704,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":2698,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":2695,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":2692,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":2701,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":2694,"metricType":"sum"},{"name":"records read","accumulatorId":2691,"metricType":"sum"},{"name":"local bytes read","accumulatorId":2689,"metricType":"size"},{"name":"fetch wait time","accumulatorId":2690,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":2687,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":2693,"metricType":"sum"},{"name":"local blocks read","accumulatorId":2686,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":2696,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":2685,"metricType":"sum"},{"name":"data size","accumulatorId":2683,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":2699,"metricType":"size"},{"name":"number of partitions","accumulatorId":2684,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":2700,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":2688,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":2702,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":2680,"metricType":"timing"},{"name":"peak memory","accumulatorId":2681,"metricType":"size"},{"name":"spill size","accumulatorId":2682,"metricType":"size"}]},{"nodeName":"Sort","simpleString":"Sort [lesson_id#33 ASC NULLS FIRST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=1615]","children":[{"nodeName":"Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] ","simpleString":"Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [user_id#32,lesson_id#33,viewed_at#35] PushedFilters: [*IsNotNull(lesson_id)], ReadSchema: struct","children":[],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":2784,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":2782,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":2776,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":2783,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":2777,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":2774,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":2771,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":2780,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":2773,"metricType":"sum"},{"name":"records read","accumulatorId":2770,"metricType":"sum"},{"name":"local bytes read","accumulatorId":2768,"metricType":"size"},{"name":"fetch wait time","accumulatorId":2769,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":2766,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":2772,"metricType":"sum"},{"name":"local blocks read","accumulatorId":2765,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":2775,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":2764,"metricType":"sum"},{"name":"data size","accumulatorId":2762,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":2778,"metricType":"size"},{"name":"number of partitions","accumulatorId":2763,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":2779,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":2767,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":2781,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":2759,"metricType":"timing"},{"name":"peak memory","accumulatorId":2760,"metricType":"size"},{"name":"spill size","accumulatorId":2761,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":2678,"metricType":"sum"},{"name":"spill size","accumulatorId":2679,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":2674,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":2675,"metricType":"timing"},{"name":"peak memory","accumulatorId":2673,"metricType":"size"},{"name":"number of output rows","accumulatorId":2672,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":2677,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":2676,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":2668,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":2669,"metricType":"timing"},{"name":"peak memory","accumulatorId":2667,"metricType":"size"},{"name":"number of output rows","accumulatorId":2666,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":2671,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":2670,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":2662,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":2663,"metricType":"timing"},{"name":"peak memory","accumulatorId":2661,"metricType":"size"},{"name":"number of output rows","accumulatorId":2660,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":2665,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":2664,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":2656,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":2657,"metricType":"timing"},{"name":"peak memory","accumulatorId":2655,"metricType":"size"},{"name":"number of output rows","accumulatorId":2654,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":2659,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":2658,"metricType":"average"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[]},"time":1784266249112,"modifiedConfigs":{},"jobTags":[]} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":4,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (39)\n+- == Current Plan ==\n DeserializeToObject (22)\n +- HashAggregate (21)\n +- HashAggregate (20)\n +- HashAggregate (19)\n +- HashAggregate (18)\n +- SortMergeJoin LeftOuter (17)\n :- Sort (12)\n : +- Exchange (11)\n : +- Project (10)\n : +- SortMergeJoin Inner (9)\n : :- Sort (4)\n : : +- ShuffleQueryStage (3)\n : : +- Exchange (2)\n : : +- * Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (1)\n : +- Sort (8)\n : +- ShuffleQueryStage (7)\n : +- Exchange (6)\n : +- * Scan JDBCRelation(core_dim_course) [numPartitions=1] (5)\n +- Sort (16)\n +- ShuffleQueryStage (15)\n +- Exchange (14)\n +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (13)\n+- == Initial Plan ==\n DeserializeToObject (38)\n +- HashAggregate (37)\n +- HashAggregate (36)\n +- HashAggregate (35)\n +- HashAggregate (34)\n +- SortMergeJoin LeftOuter (33)\n :- Sort (30)\n : +- Exchange (29)\n : +- Project (28)\n : +- SortMergeJoin Inner (27)\n : :- Sort (24)\n : : +- Exchange (23)\n : : +- Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (1)\n : +- Sort (26)\n : +- Exchange (25)\n : +- Scan JDBCRelation(core_dim_course) [numPartitions=1] (5)\n +- Sort (32)\n +- Exchange (31)\n +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (13)\n\n\n(1) Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [codegen id : 1]\nOutput [3]: [lesson_id#18, title#19, course_id#21]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(2) Exchange\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=1641]\n\n(3) ShuffleQueryStage\nOutput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: 0\n\n(4) Sort\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(5) Scan JDBCRelation(core_dim_course) [numPartitions=1] [codegen id : 2]\nOutput [2]: [course_id#10, title#11]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(6) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=1648]\n\n(7) ShuffleQueryStage\nOutput [2]: [course_id#10, title#11]\nArguments: 1\n\n(8) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(9) SortMergeJoin\nLeft keys [1]: [course_id#21]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(10) Project\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nInput [5]: [lesson_id#18, title#19, course_id#21, course_id#10, title#11]\n\n(11) Exchange\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=1656]\n\n(12) Sort\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: [lesson_id#18 ASC NULLS FIRST], false, 0\n\n(13) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 3]\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nPushedFilters: [*IsNotNull(lesson_id)]\nReadSchema: struct\n\n(14) Exchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=1662]\n\n(15) ShuffleQueryStage\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: 2\n\n(16) Sort\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: [lesson_id#33 ASC NULLS FIRST], false, 0\n\n(17) SortMergeJoin\nLeft keys [1]: [lesson_id#18]\nRight keys [1]: [lesson_id#33]\nJoin type: LeftOuter\nJoin condition: None\n\n(18) HashAggregate\nInput [7]: [lesson_id#18, title#19, course_id#21, title#11, user_id#32, lesson_id#33, viewed_at#35]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(19) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(20) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\n\n(21) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19 AS lesson_title#108, course_id#21, title#11 AS course_title#109, count(lesson_id#33)#92L AS total_views#93L, count(user_id#32)#99L AS unique_users#94L, min(viewed_at#35)#95 AS first_view#96, max(viewed_at#35)#97 AS last_view#98]\n\n(22) DeserializeToObject\nInput [8]: [lesson_id#18, lesson_title#108, course_id#21, course_title#109, total_views#93L, unique_users#94L, first_view#96, last_view#98]\nArguments: createexternalrow(lesson_id#18.toJavaBigDecimal, lesson_title#108.toString, course_id#21.toJavaBigDecimal, course_title#109.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, total_views#93L, true, false, true), staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, unique_users#94L, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, first_view#96, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, last_view#98, true, false, true), StructField(lesson_id,DecimalType(20,0),true), StructField(lesson_title,StringType,true), StructField(course_id,DecimalType(20,0),true), StructField(course_title,StringType,true), StructField(total_views,LongType,false), StructField(unique_users,LongType,false), StructField(first_view,TimestampType,true), StructField(last_view,TimestampType,true)), obj#391: org.apache.spark.sql.Row\n\n(23) Exchange\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=1606]\n\n(24) Sort\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(25) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=1607]\n\n(26) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(27) SortMergeJoin\nLeft keys [1]: [course_id#21]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(28) Project\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nInput [5]: [lesson_id#18, title#19, course_id#21, course_id#10, title#11]\n\n(29) Exchange\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=1614]\n\n(30) Sort\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: [lesson_id#18 ASC NULLS FIRST], false, 0\n\n(31) Exchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=1615]\n\n(32) Sort\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: [lesson_id#33 ASC NULLS FIRST], false, 0\n\n(33) SortMergeJoin\nLeft keys [1]: [lesson_id#18]\nRight keys [1]: [lesson_id#33]\nJoin type: LeftOuter\nJoin condition: None\n\n(34) HashAggregate\nInput [7]: [lesson_id#18, title#19, course_id#21, title#11, user_id#32, lesson_id#33, viewed_at#35]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(35) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(36) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\n\n(37) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19 AS lesson_title#108, course_id#21, title#11 AS course_title#109, count(lesson_id#33)#92L AS total_views#93L, count(user_id#32)#99L AS unique_users#94L, min(viewed_at#35)#95 AS first_view#96, max(viewed_at#35)#97 AS last_view#98]\n\n(38) DeserializeToObject\nInput [8]: [lesson_id#18, lesson_title#108, course_id#21, course_title#109, total_views#93L, unique_users#94L, first_view#96, last_view#98]\nArguments: createexternalrow(lesson_id#18.toJavaBigDecimal, lesson_title#108.toString, course_id#21.toJavaBigDecimal, course_title#109.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, total_views#93L, true, false, true), staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, unique_users#94L, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, first_view#96, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, last_view#98, true, false, true), StructField(lesson_id,DecimalType(20,0),true), StructField(lesson_title,StringType,true), StructField(course_id,DecimalType(20,0),true), StructField(course_title,StringType,true), StructField(total_views,LongType,false), StructField(unique_users,LongType,false), StructField(first_view,TimestampType,true), StructField(last_view,TimestampType,true)), obj#391: org.apache.spark.sql.Row\n\n(39) AdaptiveSparkPlan\nOutput [1]: [obj#391]\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"DeserializeToObject","simpleString":"DeserializeToObject createexternalrow(lesson_id#18.toJavaBigDecimal, lesson_title#108.toString, course_id#21.toJavaBigDecimal, course_title#109.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, total_views#93L, true, false, true), staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, unique_users#94L, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, first_view#96, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class 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DeserializeToObject (22)\n +- HashAggregate (21)\n +- HashAggregate (20)\n +- HashAggregate (19)\n +- HashAggregate (18)\n +- BroadcastHashJoin LeftOuter BuildRight (17)\n :- Project (10)\n : +- SortMergeJoin Inner (9)\n : :- Sort (4)\n : : +- ShuffleQueryStage (3), Statistics(sizeInBytes=1648.0 B, rowCount=18)\n : : +- Exchange (2)\n : : +- * Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (1)\n : +- Sort (8)\n : +- ShuffleQueryStage (7), Statistics(sizeInBytes=384.0 B, rowCount=5)\n : +- Exchange (6)\n : +- * Scan JDBCRelation(core_dim_course) [numPartitions=1] (5)\n +- BroadcastQueryStage (16)\n +- BroadcastExchange (15)\n +- AQEShuffleRead (14)\n +- ShuffleQueryStage (13), Statistics(sizeInBytes=3.6 KiB, rowCount=57)\n +- Exchange (12)\n +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (11)\n+- == Initial Plan ==\n DeserializeToObject (38)\n +- HashAggregate (37)\n +- HashAggregate (36)\n +- HashAggregate (35)\n +- HashAggregate (34)\n +- SortMergeJoin LeftOuter (33)\n :- Sort (30)\n : +- Exchange (29)\n : +- Project (28)\n : +- SortMergeJoin Inner (27)\n : :- Sort (24)\n : : +- Exchange (23)\n : : +- Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (1)\n : +- Sort (26)\n : +- Exchange (25)\n : +- Scan JDBCRelation(core_dim_course) [numPartitions=1] (5)\n +- Sort (32)\n +- Exchange (31)\n +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (11)\n\n\n(1) Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [codegen id : 1]\nOutput [3]: [lesson_id#18, title#19, course_id#21]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(2) Exchange\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=1641]\n\n(3) ShuffleQueryStage\nOutput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: 0\n\n(4) Sort\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(5) Scan JDBCRelation(core_dim_course) [numPartitions=1] [codegen id : 2]\nOutput [2]: [course_id#10, title#11]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(6) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=1648]\n\n(7) ShuffleQueryStage\nOutput [2]: [course_id#10, title#11]\nArguments: 1\n\n(8) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(9) SortMergeJoin\nLeft keys [1]: [course_id#21]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(10) Project\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nInput [5]: [lesson_id#18, title#19, course_id#21, course_id#10, title#11]\n\n(11) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 3]\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nPushedFilters: [*IsNotNull(lesson_id)]\nReadSchema: struct\n\n(12) Exchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=1662]\n\n(13) ShuffleQueryStage\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: 2\n\n(14) AQEShuffleRead\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: local\n\n(15) BroadcastExchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: HashedRelationBroadcastMode(List(input[1, decimal(20,0), true]),false), [plan_id=1768]\n\n(16) BroadcastQueryStage\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: 3\n\n(17) BroadcastHashJoin\nLeft keys [1]: [lesson_id#18]\nRight keys [1]: [lesson_id#33]\nJoin type: LeftOuter\nJoin condition: None\n\n(18) HashAggregate\nInput [7]: [lesson_id#18, title#19, course_id#21, title#11, user_id#32, lesson_id#33, viewed_at#35]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(19) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(20) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\n\n(21) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19 AS lesson_title#108, course_id#21, title#11 AS course_title#109, count(lesson_id#33)#92L AS total_views#93L, count(user_id#32)#99L AS unique_users#94L, min(viewed_at#35)#95 AS first_view#96, max(viewed_at#35)#97 AS last_view#98]\n\n(22) DeserializeToObject\nInput [8]: [lesson_id#18, lesson_title#108, course_id#21, course_title#109, total_views#93L, unique_users#94L, first_view#96, last_view#98]\nArguments: createexternalrow(lesson_id#18.toJavaBigDecimal, lesson_title#108.toString, course_id#21.toJavaBigDecimal, course_title#109.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, total_views#93L, true, false, true), staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, unique_users#94L, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, first_view#96, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, last_view#98, true, false, true), StructField(lesson_id,DecimalType(20,0),true), StructField(lesson_title,StringType,true), StructField(course_id,DecimalType(20,0),true), StructField(course_title,StringType,true), StructField(total_views,LongType,false), StructField(unique_users,LongType,false), StructField(first_view,TimestampType,true), StructField(last_view,TimestampType,true)), obj#391: org.apache.spark.sql.Row\n\n(23) Exchange\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=1606]\n\n(24) Sort\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(25) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=1607]\n\n(26) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(27) SortMergeJoin\nLeft keys [1]: [course_id#21]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(28) Project\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nInput [5]: [lesson_id#18, title#19, course_id#21, course_id#10, title#11]\n\n(29) Exchange\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=1614]\n\n(30) Sort\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: [lesson_id#18 ASC NULLS FIRST], false, 0\n\n(31) Exchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=1615]\n\n(32) Sort\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: [lesson_id#33 ASC NULLS FIRST], false, 0\n\n(33) SortMergeJoin\nLeft keys [1]: [lesson_id#18]\nRight keys [1]: [lesson_id#33]\nJoin type: LeftOuter\nJoin condition: None\n\n(34) HashAggregate\nInput [7]: [lesson_id#18, title#19, course_id#21, title#11, user_id#32, lesson_id#33, viewed_at#35]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(35) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(36) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\n\n(37) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19 AS lesson_title#108, course_id#21, title#11 AS course_title#109, count(lesson_id#33)#92L AS total_views#93L, count(user_id#32)#99L AS unique_users#94L, min(viewed_at#35)#95 AS first_view#96, max(viewed_at#35)#97 AS last_view#98]\n\n(38) DeserializeToObject\nInput [8]: [lesson_id#18, lesson_title#108, course_id#21, course_title#109, total_views#93L, unique_users#94L, first_view#96, last_view#98]\nArguments: createexternalrow(lesson_id#18.toJavaBigDecimal, lesson_title#108.toString, course_id#21.toJavaBigDecimal, course_title#109.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, total_views#93L, true, false, true), staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, unique_users#94L, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, first_view#96, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, last_view#98, true, false, true), StructField(lesson_id,DecimalType(20,0),true), StructField(lesson_title,StringType,true), StructField(course_id,DecimalType(20,0),true), StructField(course_title,StringType,true), StructField(total_views,LongType,false), StructField(unique_users,LongType,false), StructField(first_view,TimestampType,true), StructField(last_view,TimestampType,true)), obj#391: org.apache.spark.sql.Row\n\n(39) AdaptiveSparkPlan\nOutput [1]: [obj#391]\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"DeserializeToObject","simpleString":"DeserializeToObject createexternalrow(lesson_id#18.toJavaBigDecimal, lesson_title#108.toString, course_id#21.toJavaBigDecimal, course_title#109.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, total_views#93L, true, false, true), staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, unique_users#94L, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, first_view#96, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, last_view#98, true, false, true), StructField(lesson_id,DecimalType(20,0),true), StructField(lesson_title,StringType,true), StructField(course_id,DecimalType(20,0),true), StructField(course_title,StringType,true), StructField(total_views,LongType,false), StructField(unique_users,LongType,false), StructField(first_view,TimestampType,true), StructField(last_view,TimestampType,true)), obj#391: org.apache.spark.sql.Row","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21], functions=[count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21], functions=[merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21, user_id#32], functions=[merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21, user_id#32], functions=[partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)])","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [lesson_id#18], [lesson_id#33], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#18, title#19, course_id#21, title#11]","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [course_id#21], [course_id#10], Inner","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#21 ASC NULLS FIRST], false, 0","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=1641]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"Scan JDBCRelation(core_dim_lesson) [numPartitions=1] ","simpleString":"Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [lesson_id#18,title#19,course_id#21] PushedFilters: [*IsNotNull(course_id)], ReadSchema: struct","children":[],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":2732,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":2863,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":2861,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":2855,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":2862,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":2856,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":2853,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":2850,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":2859,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":2852,"metricType":"sum"},{"name":"records read","accumulatorId":2849,"metricType":"sum"},{"name":"local bytes read","accumulatorId":2847,"metricType":"size"},{"name":"fetch wait time","accumulatorId":2848,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":2845,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":2851,"metricType":"sum"},{"name":"local blocks read","accumulatorId":2844,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":2854,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":2843,"metricType":"sum"},{"name":"data size","accumulatorId":2841,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":2857,"metricType":"size"},{"name":"number of partitions","accumulatorId":2842,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":2858,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":2846,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":2860,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":3048,"metricType":"timing"},{"name":"peak memory","accumulatorId":3049,"metricType":"size"},{"name":"spill size","accumulatorId":3050,"metricType":"size"}]},{"nodeName":"Sort","simpleString":"Sort [course_id#10 ASC NULLS FIRST], false, 0","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 1","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=1648]","children":[{"nodeName":"WholeStageCodegen (2)","simpleString":"WholeStageCodegen (2)","children":[{"nodeName":"Scan JDBCRelation(core_dim_course) [numPartitions=1] ","simpleString":"Scan JDBCRelation(core_dim_course) [numPartitions=1] [course_id#10,title#11] PushedFilters: [*IsNotNull(course_id)], ReadSchema: struct","children":[],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":2758,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":2889,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":2887,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":2881,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":2888,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":2882,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":2879,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":2876,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":2885,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":2878,"metricType":"sum"},{"name":"records read","accumulatorId":2875,"metricType":"sum"},{"name":"local bytes read","accumulatorId":2873,"metricType":"size"},{"name":"fetch wait time","accumulatorId":2874,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":2871,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":2877,"metricType":"sum"},{"name":"local blocks read","accumulatorId":2870,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":2880,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":2869,"metricType":"sum"},{"name":"data size","accumulatorId":2867,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":2883,"metricType":"size"},{"name":"number of partitions","accumulatorId":2868,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":2884,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":2872,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":2886,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":3051,"metricType":"timing"},{"name":"peak memory","accumulatorId":3052,"metricType":"size"},{"name":"spill size","accumulatorId":3053,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":3046,"metricType":"sum"},{"name":"spill size","accumulatorId":3047,"metricType":"size"}]}],"metadata":{},"metrics":[]},{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 3","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[1, decimal(20,0), true]),false), 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IDs":[44],"Details":"org.apache.spark.sql.execution.SQLExecution$.$anonfun$withThreadLocalCaptured$1(SQLExecution.scala:219)\njava.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)\njava.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)\njava.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784266249236,"Completion Time":1784266249264,"Accumulables":[{"ID":2896,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2899,"Name":"local bytes read","Value":"2066","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2900,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":2901,"Name":"records read","Value":"57","Internal":true,"Count Failed 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Push Mergers Count":0}} {"Event":"SparkListenerJobEnd","Job ID":26,"Completion Time":1784266249264,"Job Result":{"Result":"JobSucceeded"}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":4,"accumUpdates":[[3058,2],[3057,3],[3056,36],[3055,57],[3054,2099184]]} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":4,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (41)\n+- == Final Plan ==\n DeserializeToObject (24)\n +- * HashAggregate (23)\n +- * HashAggregate (22)\n +- * HashAggregate (21)\n +- * HashAggregate (20)\n +- * BroadcastHashJoin LeftOuter BuildRight (19)\n :- * Project (12)\n : +- * SortMergeJoin Inner (11)\n : :- * Sort (5)\n : : +- AQEShuffleRead (4)\n : : +- ShuffleQueryStage (3), Statistics(sizeInBytes=1648.0 B, rowCount=18)\n : : +- Exchange (2)\n : : +- * Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (1)\n : +- * Sort (10)\n : +- AQEShuffleRead (9)\n : +- ShuffleQueryStage (8), Statistics(sizeInBytes=384.0 B, rowCount=5)\n : +- Exchange (7)\n : +- * Scan JDBCRelation(core_dim_course) [numPartitions=1] (6)\n +- BroadcastQueryStage (18), Statistics(sizeInBytes=2.0 MiB, rowCount=57)\n +- BroadcastExchange (17)\n +- AQEShuffleRead (16)\n +- ShuffleQueryStage (15), Statistics(sizeInBytes=3.6 KiB, rowCount=57)\n +- Exchange (14)\n +- * Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (13)\n+- == Initial Plan ==\n DeserializeToObject (40)\n +- HashAggregate (39)\n +- HashAggregate (38)\n +- HashAggregate (37)\n +- HashAggregate (36)\n +- SortMergeJoin LeftOuter (35)\n :- Sort (32)\n : +- Exchange (31)\n : +- Project (30)\n : +- SortMergeJoin Inner (29)\n : :- Sort (26)\n : : +- Exchange (25)\n : : +- Scan JDBCRelation(core_dim_lesson) [numPartitions=1] (1)\n : +- Sort (28)\n : +- Exchange (27)\n : +- Scan JDBCRelation(core_dim_course) [numPartitions=1] (6)\n +- Sort (34)\n +- Exchange (33)\n +- Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] (13)\n\n\n(1) Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [codegen id : 1]\nOutput [3]: [lesson_id#18, title#19, course_id#21]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(2) Exchange\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=1641]\n\n(3) ShuffleQueryStage\nOutput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: 0\n\n(4) AQEShuffleRead\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: coalesced\n\n(5) Sort [codegen id : 4]\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(6) Scan JDBCRelation(core_dim_course) [numPartitions=1] [codegen id : 2]\nOutput [2]: [course_id#10, title#11]\nPushedFilters: [*IsNotNull(course_id)]\nReadSchema: struct\n\n(7) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=1648]\n\n(8) ShuffleQueryStage\nOutput [2]: [course_id#10, title#11]\nArguments: 1\n\n(9) AQEShuffleRead\nInput [2]: [course_id#10, title#11]\nArguments: coalesced\n\n(10) Sort [codegen id : 5]\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(11) SortMergeJoin [codegen id : 6]\nLeft keys [1]: [course_id#21]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(12) Project [codegen id : 6]\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nInput [5]: [lesson_id#18, title#19, course_id#21, course_id#10, title#11]\n\n(13) Scan JDBCRelation(core_fact_lesson_views) [numPartitions=1] [codegen id : 3]\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nPushedFilters: [*IsNotNull(lesson_id)]\nReadSchema: struct\n\n(14) Exchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=1662]\n\n(15) ShuffleQueryStage\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: 2\n\n(16) AQEShuffleRead\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: local\n\n(17) BroadcastExchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: HashedRelationBroadcastMode(List(input[1, decimal(20,0), true]),false), [plan_id=1768]\n\n(18) BroadcastQueryStage\nOutput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: 3\n\n(19) BroadcastHashJoin [codegen id : 6]\nLeft keys [1]: [lesson_id#18]\nRight keys [1]: [lesson_id#33]\nJoin type: LeftOuter\nJoin condition: None\n\n(20) HashAggregate [codegen id : 6]\nInput [7]: [lesson_id#18, title#19, course_id#21, title#11, user_id#32, lesson_id#33, viewed_at#35]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(21) HashAggregate [codegen id : 6]\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(22) HashAggregate [codegen id : 6]\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\n\n(23) HashAggregate [codegen id : 6]\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19 AS lesson_title#108, course_id#21, title#11 AS course_title#109, count(lesson_id#33)#92L AS total_views#93L, count(user_id#32)#99L AS unique_users#94L, min(viewed_at#35)#95 AS first_view#96, max(viewed_at#35)#97 AS last_view#98]\n\n(24) DeserializeToObject\nInput [8]: [lesson_id#18, lesson_title#108, course_id#21, course_title#109, total_views#93L, unique_users#94L, first_view#96, last_view#98]\nArguments: createexternalrow(lesson_id#18.toJavaBigDecimal, lesson_title#108.toString, course_id#21.toJavaBigDecimal, course_title#109.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, total_views#93L, true, false, true), staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, unique_users#94L, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, first_view#96, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, last_view#98, true, false, true), StructField(lesson_id,DecimalType(20,0),true), StructField(lesson_title,StringType,true), StructField(course_id,DecimalType(20,0),true), StructField(course_title,StringType,true), StructField(total_views,LongType,false), StructField(unique_users,LongType,false), StructField(first_view,TimestampType,true), StructField(last_view,TimestampType,true)), obj#391: org.apache.spark.sql.Row\n\n(25) Exchange\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=1606]\n\n(26) Sort\nInput [3]: [lesson_id#18, title#19, course_id#21]\nArguments: [course_id#21 ASC NULLS FIRST], false, 0\n\n(27) Exchange\nInput [2]: [course_id#10, title#11]\nArguments: hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=1607]\n\n(28) Sort\nInput [2]: [course_id#10, title#11]\nArguments: [course_id#10 ASC NULLS FIRST], false, 0\n\n(29) SortMergeJoin\nLeft keys [1]: [course_id#21]\nRight keys [1]: [course_id#10]\nJoin type: Inner\nJoin condition: None\n\n(30) Project\nOutput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nInput [5]: [lesson_id#18, title#19, course_id#21, course_id#10, title#11]\n\n(31) Exchange\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: hashpartitioning(lesson_id#18, 200), ENSURE_REQUIREMENTS, [plan_id=1614]\n\n(32) Sort\nInput [4]: [lesson_id#18, title#19, course_id#21, title#11]\nArguments: [lesson_id#18 ASC NULLS FIRST], false, 0\n\n(33) Exchange\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: hashpartitioning(lesson_id#33, 200), ENSURE_REQUIREMENTS, [plan_id=1615]\n\n(34) Sort\nInput [3]: [user_id#32, lesson_id#33, viewed_at#35]\nArguments: [lesson_id#33 ASC NULLS FIRST], false, 0\n\n(35) SortMergeJoin\nLeft keys [1]: [lesson_id#18]\nRight keys [1]: [lesson_id#33]\nJoin type: LeftOuter\nJoin condition: None\n\n(36) HashAggregate\nInput [7]: [lesson_id#18, title#19, course_id#21, title#11, user_id#32, lesson_id#33, viewed_at#35]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(37) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [5]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32]\nFunctions [3]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)]\nAggregate Attributes [3]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\n\n(38) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, user_id#32, count#270L, min#272, max#274]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\n\n(39) HashAggregate\nInput [8]: [lesson_id#18, title#19, title#11, course_id#21, count#270L, min#272, max#274, count#277L]\nKeys [4]: [lesson_id#18, title#19, title#11, course_id#21]\nFunctions [4]: [count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)]\nAggregate Attributes [4]: [count(lesson_id#33)#92L, min(viewed_at#35)#95, max(viewed_at#35)#97, count(user_id#32)#99L]\nResults [8]: [lesson_id#18, title#19 AS lesson_title#108, course_id#21, title#11 AS course_title#109, count(lesson_id#33)#92L AS total_views#93L, count(user_id#32)#99L AS unique_users#94L, min(viewed_at#35)#95 AS first_view#96, max(viewed_at#35)#97 AS last_view#98]\n\n(40) DeserializeToObject\nInput [8]: [lesson_id#18, lesson_title#108, course_id#21, course_title#109, total_views#93L, unique_users#94L, first_view#96, last_view#98]\nArguments: createexternalrow(lesson_id#18.toJavaBigDecimal, lesson_title#108.toString, course_id#21.toJavaBigDecimal, course_title#109.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, total_views#93L, true, false, true), staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, unique_users#94L, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, first_view#96, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, last_view#98, true, false, true), StructField(lesson_id,DecimalType(20,0),true), StructField(lesson_title,StringType,true), StructField(course_id,DecimalType(20,0),true), StructField(course_title,StringType,true), StructField(total_views,LongType,false), StructField(unique_users,LongType,false), StructField(first_view,TimestampType,true), StructField(last_view,TimestampType,true)), obj#391: org.apache.spark.sql.Row\n\n(41) AdaptiveSparkPlan\nOutput [1]: [obj#391]\nArguments: isFinalPlan=true\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=true","children":[{"nodeName":"DeserializeToObject","simpleString":"DeserializeToObject createexternalrow(lesson_id#18.toJavaBigDecimal, lesson_title#108.toString, course_id#21.toJavaBigDecimal, course_title#109.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, total_views#93L, true, false, true), staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, unique_users#94L, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, first_view#96, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, last_view#98, true, false, true), StructField(lesson_id,DecimalType(20,0),true), StructField(lesson_title,StringType,true), StructField(course_id,DecimalType(20,0),true), StructField(course_title,StringType,true), StructField(total_views,LongType,false), StructField(unique_users,LongType,false), StructField(first_view,TimestampType,true), StructField(last_view,TimestampType,true)), obj#391: org.apache.spark.sql.Row","children":[{"nodeName":"WholeStageCodegen (6)","simpleString":"WholeStageCodegen (6)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21], functions=[count(lesson_id#33), min(viewed_at#35), max(viewed_at#35), count(distinct user_id#32)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21], functions=[merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35), partial_count(distinct user_id#32)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21, user_id#32], functions=[merge_count(lesson_id#33), merge_min(viewed_at#35), merge_max(viewed_at#35)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#18, title#19, title#11, course_id#21, user_id#32], functions=[partial_count(lesson_id#33), partial_min(viewed_at#35), partial_max(viewed_at#35)])","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [lesson_id#18], [lesson_id#33], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#18, title#19, course_id#21, title#11]","children":[{"nodeName":"SortMergeJoin","simpleString":"SortMergeJoin [course_id#21], [course_id#10], Inner","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"WholeStageCodegen (4)","simpleString":"WholeStageCodegen (4)","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#21 ASC NULLS FIRST], false, 0","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#21, 200), ENSURE_REQUIREMENTS, [plan_id=1641]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"Scan JDBCRelation(core_dim_lesson) [numPartitions=1] ","simpleString":"Scan JDBCRelation(core_dim_lesson) [numPartitions=1] [lesson_id#18,title#19,course_id#21] PushedFilters: [*IsNotNull(course_id)], ReadSchema: struct","children":[],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":2732,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":2863,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":2861,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":2855,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":2862,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":2856,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":2853,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":2850,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":2859,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":2852,"metricType":"sum"},{"name":"records read","accumulatorId":2849,"metricType":"sum"},{"name":"local bytes read","accumulatorId":2847,"metricType":"size"},{"name":"fetch wait time","accumulatorId":2848,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":2845,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":2851,"metricType":"sum"},{"name":"local blocks read","accumulatorId":2844,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":2854,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":2843,"metricType":"sum"},{"name":"data size","accumulatorId":2841,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":2857,"metricType":"size"},{"name":"number of partitions","accumulatorId":2842,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":2858,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":2846,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":2860,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of partitions","accumulatorId":3127,"metricType":"sum"},{"name":"partition data size","accumulatorId":3128,"metricType":"size"},{"name":"number of coalesced partitions","accumulatorId":3129,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":3124,"metricType":"timing"},{"name":"peak memory","accumulatorId":3125,"metricType":"size"},{"name":"spill size","accumulatorId":3126,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":3123,"metricType":"timing"}]}],"metadata":{},"metrics":[]},{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"WholeStageCodegen (5)","simpleString":"WholeStageCodegen (5)","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#10 ASC NULLS FIRST], false, 0","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 1","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#10, 200), ENSURE_REQUIREMENTS, [plan_id=1648]","children":[{"nodeName":"WholeStageCodegen (2)","simpleString":"WholeStageCodegen (2)","children":[{"nodeName":"Scan JDBCRelation(core_dim_course) [numPartitions=1] ","simpleString":"Scan JDBCRelation(core_dim_course) [numPartitions=1] [course_id#10,title#11] PushedFilters: [*IsNotNull(course_id)], ReadSchema: struct","children":[],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":2758,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":2889,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":2887,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":2881,"metricType":"sum"},{"name":"shuffle write 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Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784266249358,"Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0},"Properties":{"spark.driver.port":"41381","spark.submit.pyFiles":"/home/airflow/.ivy2/jars/com.clickhouse_clickhouse-jdbc-0.9.0.jar,/home/airflow/.ivy2/jars/com.clickhouse_clickhouse-client-0.9.0.jar,/home/airflow/.ivy2/jars/com.clickhouse_clickhouse-data-0.9.0.jar,/home/airflow/.ivy2/jars/com.clickhouse_clickhouse-http-client-0.9.0.jar,/home/airflow/.ivy2/jars/org.apache.httpcomponents.client5_httpclient5-5.3.1.jar,/home/airflow/.ivy2/jars/org.apache.httpcomponents.core5_httpcore5-5.2.4.jar,/home/airflow/.ivy2/jars/org.apache.httpcomponents.core5_httpcore5-h2-5.2.4.jar,/home/airflow/.ivy2/jars/org.apache.commons_commons-compress-1.27.1.jar,/home/airflow/.ivy2/jars/commons-codec_commons-codec-1.17.1.jar,/home/airflow/.ivy2/jars/commons-io_commons-io-2.16.1.jar,/home/airflow/.ivy2/jars/org.apache.commons_commons-lang3-3.16.0.jar,/home/airflow/.ivy2/jars/com.clickhouse_jdbc-v2-0.9.0.jar,/home/airflow/.ivy2/jars/com.clickhouse_client-v2-0.9.0.jar,/home/airflow/.ivy2/jars/org.roaringbitmap_RoaringBitmap-0.9.47.jar,/home/airflow/.ivy2/jars/org.ow2.asm_asm-9.7.jar,/home/airflow/.ivy2/jars/org.antlr_antlr4-runtime-4.13.2.jar,/home/airflow/.ivy2/jars/com.google.guava_guava-33.4.6-jre.jar,/home/airflow/.ivy2/jars/com.google.guava_failureaccess-1.0.3.jar,/home/airflow/.ivy2/jars/com.google.guava_listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar,/home/airflow/.ivy2/jars/org.jspecify_jspecify-1.0.0.jar,/home/airflow/.ivy2/jars/com.google.errorprone_error_prone_annotations-2.36.0.jar,/home/airflow/.ivy2/jars/com.google.j2objc_j2objc-annotations-3.0.0.jar,/home/airflow/.ivy2/jars/org.lz4_lz4-java-1.8.0.jar,/home/airflow/.ivy2/jars/org.slf4j_slf4j-api-2.0.7.jar,/home/airflow/.ivy2/jars/org.roaringbitmap_shims-0.9.47.jar","spark.app.startTime":"1784266241460","spark.rdd.scope":"{\"id\":\"259\",\"name\":\"foreachPartition\"}","spark.rdd.compress":"True","spark.app.submitTime":"1784266240711","spark.eventLog.dir":"file:/opt/spark-events","spark.app.initial.jar.urls":"spark://73850a3d530b:41381/jars/org.apache.commons_commons-compress-1.27.1.jar,spark://73850a3d530b:41381/jars/org.jspecify_jspecify-1.0.0.jar,spark://73850a3d530b:41381/jars/org.slf4j_slf4j-api-2.0.7.jar,spark://73850a3d530b:41381/jars/org.apache.httpcomponents.core5_httpcore5-h2-5.2.4.jar,spark://73850a3d530b:41381/jars/com.clickhouse_clickhouse-client-0.9.0.jar,spark://73850a3d530b:41381/jars/org.lz4_lz4-java-1.8.0.jar,spark://73850a3d530b:41381/jars/org.roaringbitmap_shims-0.9.47.jar,spark://73850a3d530b:41381/jars/com.google.j2objc_j2objc-annotations-3.0.0.jar,spark://73850a3d530b:41381/jars/org.roaringbitmap_RoaringBitmap-0.9.47.jar,spark://73850a3d530b:41381/jars/commons-codec_commons-codec-1.17.1.jar,spark://73850a3d530b:41381/jars/com.google.guava_listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar,spark://73850a3d530b:41381/jars/com.google.guava_guava-33.4.6-jre.jar,spark://73850a3d530b:41381/jars/org.antlr_antlr4-runtime-4.13.2.jar,spark://73850a3d530b:41381/jars/com.clickhouse_clickhouse-http-client-0.9.0.jar,spark://73850a3d530b:41381/jars/commons-io_commons-io-2.16.1.jar,spark://73850a3d530b:41381/jars/com.google.errorprone_error_prone_annotations-2.36.0.jar,spark://73850a3d530b:41381/jars/com.clickhouse_client-v2-0.9.0.jar,spark://73850a3d530b:41381/jars/org.apache.httpcomponents.core5_httpcore5-5.2.4.jar,spark://73850a3d530b:41381/jars/org.apache.httpcomponents.client5_httpclient5-5.3.1.jar,spark://73850a3d530b:41381/jars/org.apache.commons_commons-lang3-3.16.0.jar,spark://73850a3d530b:41381/jars/com.clickhouse_clickhouse-data-0.9.0.jar,spark://73850a3d530b:41381/jars/com.clickhouse_clickhouse-jdbc-0.9.0.jar,spark://73850a3d530b:41381/jars/com.google.guava_failureaccess-1.0.3.jar,spark://73850a3d530b:41381/jars/org.ow2.asm_asm-9.7.jar,spark://73850a3d530b:41381/jars/com.clickhouse_jdbc-v2-0.9.0.jar","spark.sql.execution.id":"4","spark.sql.warehouse.dir":"file:/opt/airflow/spark-warehouse","spark.rdd.scope.noOverride":"true","spark.master":"spark://spark-master:7077","spark.repl.local.jars":"file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-jdbc-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-client-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-data-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-http-client-0.9.0.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.client5_httpclient5-5.3.1.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.core5_httpcore5-5.2.4.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.core5_httpcore5-h2-5.2.4.jar,file:///home/airflow/.ivy2/jars/org.apache.commons_commons-compress-1.27.1.jar,file:///home/airflow/.ivy2/jars/commons-codec_commons-codec-1.17.1.jar,file:///home/airflow/.ivy2/jars/commons-io_commons-io-2.16.1.jar,file:///home/airflow/.ivy2/jars/org.apache.commons_commons-lang3-3.16.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_jdbc-v2-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_client-v2-0.9.0.jar,file:///home/airflow/.ivy2/jars/org.roaringbitmap_RoaringBitmap-0.9.47.jar,file:///home/airflow/.ivy2/jars/org.ow2.asm_asm-9.7.jar,file:///home/airflow/.ivy2/jars/org.antlr_antlr4-runtime-4.13.2.jar,file:///home/airflow/.ivy2/jars/com.google.guava_guava-33.4.6-jre.jar,file:///home/airflow/.ivy2/jars/com.google.guava_failureaccess-1.0.3.jar,file:///home/airflow/.ivy2/jars/com.google.guava_listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar,file:///home/airflow/.ivy2/jars/org.jspecify_jspecify-1.0.0.jar,file:///home/airflow/.ivy2/jars/com.google.errorprone_error_prone_annotations-2.36.0.jar,file:///home/airflow/.ivy2/jars/com.google.j2objc_j2objc-annotations-3.0.0.jar,file:///home/airflow/.ivy2/jars/org.lz4_lz4-java-1.8.0.jar,file:///home/airflow/.ivy2/jars/org.slf4j_slf4j-api-2.0.7.jar,file:///home/airflow/.ivy2/jars/org.roaringbitmap_shims-0.9.47.jar","spark.executor.id":"driver","spark.app.name":"anazarenko_create_dm_ch","spark.submit.deployMode":"client","spark.driver.host":"73850a3d530b","spark.app.id":"app-20260717093042-0091","spark.eventLog.compress":"true","spark.eventLog.enabled":"true","__fetch_continuous_blocks_in_batch_enabled":"true","spark.executor.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false","spark.files":"file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-jdbc-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-client-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-data-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-http-client-0.9.0.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.client5_httpclient5-5.3.1.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.core5_httpcore5-5.2.4.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.core5_httpcore5-h2-5.2.4.jar,file:///home/airflow/.ivy2/jars/org.apache.commons_commons-compress-1.27.1.jar,file:///home/airflow/.ivy2/jars/commons-codec_commons-codec-1.17.1.jar,file:///home/airflow/.ivy2/jars/commons-io_commons-io-2.16.1.jar,file:///home/airflow/.ivy2/jars/org.apache.commons_commons-lang3-3.16.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_jdbc-v2-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_client-v2-0.9.0.jar,file:///home/airflow/.ivy2/jars/org.roaringbitmap_RoaringBitmap-0.9.47.jar,file:///home/airflow/.ivy2/jars/org.ow2.asm_asm-9.7.jar,file:///home/airflow/.ivy2/jars/org.antlr_antlr4-runtime-4.13.2.jar,file:///home/airflow/.ivy2/jars/com.google.guava_guava-33.4.6-jre.jar,file:///home/airflow/.ivy2/jars/com.google.guava_failureaccess-1.0.3.jar,file:///home/airflow/.ivy2/jars/com.google.guava_listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar,file:///home/airflow/.ivy2/jars/org.jspecify_jspecify-1.0.0.jar,file:///home/airflow/.ivy2/jars/com.google.errorprone_error_prone_annotations-2.36.0.jar,file:///home/airflow/.ivy2/jars/com.google.j2objc_j2objc-annotations-3.0.0.jar,file:///home/airflow/.ivy2/jars/org.lz4_lz4-java-1.8.0.jar,file:///home/airflow/.ivy2/jars/org.slf4j_slf4j-api-2.0.7.jar,file:///home/airflow/.ivy2/jars/org.roaringbitmap_shims-0.9.47.jar","spark.jars":"file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-jdbc-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-client-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-data-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_clickhouse-http-client-0.9.0.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.client5_httpclient5-5.3.1.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.core5_httpcore5-5.2.4.jar,file:///home/airflow/.ivy2/jars/org.apache.httpcomponents.core5_httpcore5-h2-5.2.4.jar,file:///home/airflow/.ivy2/jars/org.apache.commons_commons-compress-1.27.1.jar,file:///home/airflow/.ivy2/jars/commons-codec_commons-codec-1.17.1.jar,file:///home/airflow/.ivy2/jars/commons-io_commons-io-2.16.1.jar,file:///home/airflow/.ivy2/jars/org.apache.commons_commons-lang3-3.16.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_jdbc-v2-0.9.0.jar,file:///home/airflow/.ivy2/jars/com.clickhouse_client-v2-0.9.0.jar,file:///home/airflow/.ivy2/jars/org.roaringbitmap_RoaringBitmap-0.9.47.jar,file:///home/airflow/.ivy2/jars/org.ow2.asm_asm-9.7.jar,file:///home/airflow/.ivy2/jars/org.antlr_antlr4-runtime-4.13.2.jar,file:///home/airflow/.ivy2/jars/com.google.guava_guava-33.4.6-jre.jar,file:///home/airflow/.ivy2/jars/com.google.guava_failureaccess-1.0.3.jar,file:///home/airflow/.ivy2/jars/com.google.guava_listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar,file:///home/airflow/.ivy2/jars/org.jspecify_jspecify-1.0.0.jar,file:///home/airflow/.ivy2/jars/com.google.errorprone_error_prone_annotations-2.36.0.jar,file:///home/airflow/.ivy2/jars/com.google.j2objc_j2objc-annotations-3.0.0.jar,file:///home/airflow/.ivy2/jars/org.lz4_lz4-java-1.8.0.jar,file:///home/airflow/.ivy2/jars/org.slf4j_slf4j-api-2.0.7.jar,file:///home/airflow/.ivy2/jars/org.roaringbitmap_shims-0.9.47.jar","spark.app.initial.file.urls":"spark://73850a3d530b:41381/files/com.clickhouse_clickhouse-jdbc-0.9.0.jar,spark://73850a3d530b:41381/files/com.google.errorprone_error_prone_annotations-2.36.0.jar,spark://73850a3d530b:41381/files/com.google.j2objc_j2objc-annotations-3.0.0.jar,spark://73850a3d530b:41381/files/org.apache.httpcomponents.core5_httpcore5-5.2.4.jar,spark://73850a3d530b:41381/files/commons-codec_commons-codec-1.17.1.jar,spark://73850a3d530b:41381/files/org.ow2.asm_asm-9.7.jar,spark://73850a3d530b:41381/files/org.lz4_lz4-java-1.8.0.jar,spark://73850a3d530b:41381/files/org.jspecify_jspecify-1.0.0.jar,spark://73850a3d530b:41381/files/com.clickhouse_clickhouse-http-client-0.9.0.jar,spark://73850a3d530b:41381/files/com.google.guava_guava-33.4.6-jre.jar,spark://73850a3d530b:41381/files/com.clickhouse_client-v2-0.9.0.jar,spark://73850a3d530b:41381/files/com.google.guava_failureaccess-1.0.3.jar,spark://73850a3d530b:41381/files/org.antlr_antlr4-runtime-4.13.2.jar,spark://73850a3d530b:41381/files/org.apache.commons_commons-compress-1.27.1.jar,spark://73850a3d530b:41381/files/com.clickhouse_clickhouse-client-0.9.0.jar,spark://73850a3d530b:41381/files/commons-io_commons-io-2.16.1.jar,spark://73850a3d530b:41381/files/org.apache.httpcomponents.core5_httpcore5-h2-5.2.4.jar,spark://73850a3d530b:41381/files/org.roaringbitmap_RoaringBitmap-0.9.47.jar,spark://73850a3d530b:41381/files/com.google.guava_listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar,spark://73850a3d530b:41381/files/org.slf4j_slf4j-api-2.0.7.jar,spark://73850a3d530b:41381/files/com.clickhouse_clickhouse-data-0.9.0.jar,spark://73850a3d530b:41381/files/org.roaringbitmap_shims-0.9.47.jar,spark://73850a3d530b:41381/files/com.clickhouse_jdbc-v2-0.9.0.jar,spark://73850a3d530b:41381/files/org.apache.httpcomponents.client5_httpclient5-5.3.1.jar,spark://73850a3d530b:41381/files/org.apache.commons_commons-lang3-3.16.0.jar","spark.sql.execution.root.id":"3","spark.serializer.objectStreamReset":"100","spark.driver.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}} {"Event":"SparkListenerTaskStart","Stage ID":48,"Stage Attempt ID":0,"Task Info":{"Task ID":27,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1784266249371,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":0,"Failed":false,"Killed":false,"Accumulables":[]}} {"Event":"SparkListenerTaskEnd","Stage ID":48,"Stage Attempt ID":0,"Task Type":"ResultTask","Task End Reason":{"Reason":"ExceptionFailure","Class Name":"java.sql.SQLException","Description":"Cannot set null to non-nullable column #7 [first_view DateTime64(3)]","Stack Trace":[{"Declaring Class":"com.clickhouse.jdbc.SqlExceptionUtils","Method Name":"clientError","File Name":"SqlExceptionUtils.java","Line Number":73},{"Declaring Class":"com.clickhouse.jdbc.internal.InputBasedPreparedStatement","Method Name":"addBatch","File Name":"InputBasedPreparedStatement.java","Line Number":341},{"Declaring Class":"org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$","Method Name":"savePartition","File Name":"JdbcUtils.scala","Line Number":742},{"Declaring Class":"org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$","Method Name":"$anonfun$saveTable$1","File Name":"JdbcUtils.scala","Line Number":902},{"Declaring Class":"org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$","Method Name":"$anonfun$saveTable$1$adapted","File Name":"JdbcUtils.scala","Line Number":901},{"Declaring Class":"org.apache.spark.rdd.RDD","Method Name":"$anonfun$foreachPartition$2","File Name":"RDD.scala","Line Number":1039},{"Declaring Class":"org.apache.spark.rdd.RDD","Method Name":"$anonfun$foreachPartition$2$adapted","File Name":"RDD.scala","Line Number":1039},{"Declaring Class":"org.apache.spark.SparkContext","Method Name":"$anonfun$runJob$5","File Name":"SparkContext.scala","Line Number":2438},{"Declaring Class":"org.apache.spark.scheduler.ResultTask","Method Name":"runTask","File Name":"ResultTask.scala","Line Number":93},{"Declaring Class":"org.apache.spark.TaskContext","Method Name":"runTaskWithListeners","File Name":"TaskContext.scala","Line Number":166},{"Declaring Class":"org.apache.spark.scheduler.Task","Method Name":"run","File Name":"Task.scala","Line Number":141},{"Declaring Class":"org.apache.spark.executor.Executor$TaskRunner","Method Name":"$anonfun$run$4","File Name":"Executor.scala","Line Number":620},{"Declaring Class":"org.apache.spark.util.SparkErrorUtils","Method Name":"tryWithSafeFinally","File Name":"SparkErrorUtils.scala","Line Number":64},{"Declaring Class":"org.apache.spark.util.SparkErrorUtils","Method Name":"tryWithSafeFinally$","File Name":"SparkErrorUtils.scala","Line Number":61},{"Declaring Class":"org.apache.spark.util.Utils$","Method Name":"tryWithSafeFinally","File Name":"Utils.scala","Line Number":94},{"Declaring Class":"org.apache.spark.executor.Executor$TaskRunner","Method Name":"run","File Name":"Executor.scala","Line Number":623},{"Declaring Class":"java.util.concurrent.ThreadPoolExecutor","Method Name":"runWorker","File Name":null,"Line Number":-1},{"Declaring Class":"java.util.concurrent.ThreadPoolExecutor$Worker","Method Name":"run","File Name":null,"Line Number":-1},{"Declaring Class":"java.lang.Thread","Method Name":"run","File Name":null,"Line Number":-1}],"Full Stack Trace":"java.sql.SQLException: Cannot set null to non-nullable column #7 [first_view DateTime64(3)]\n\tat com.clickhouse.jdbc.SqlExceptionUtils.clientError(SqlExceptionUtils.java:73)\n\tat com.clickhouse.jdbc.internal.InputBasedPreparedStatement.addBatch(InputBasedPreparedStatement.java:341)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:742)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1(JdbcUtils.scala:902)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1$adapted(JdbcUtils.scala:901)\n\tat org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2(RDD.scala:1039)\n\tat org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2$adapted(RDD.scala:1039)\n\tat org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2438)\n\tat org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)\n\tat org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)\n\tat org.apache.spark.scheduler.Task.run(Task.scala:141)\n\tat org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)\n\tat org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)\n\tat org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)\n\tat java.base/java.lang.Thread.run(Unknown Source)\n","Accumulator Updates":[{"ID":3139,"Update":"899","Internal":false,"Count Failed Values":true},{"ID":3141,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3146,"Update":"26346400","Internal":false,"Count Failed Values":true},{"ID":3148,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3149,"Update":"2","Internal":false,"Count Failed Values":true},{"ID":3150,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3151,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3152,"Update":"1764","Internal":false,"Count Failed Values":true},{"ID":3153,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3154,"Update":"23","Internal":false,"Count Failed Values":true},{"ID":3155,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3156,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3157,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3158,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3159,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3160,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3161,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3162,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3163,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3164,"Update":"0","Internal":false,"Count Failed Values":true}]},"Task Info":{"Task ID":27,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1784266249371,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":1784266250291,"Failed":true,"Killed":false,"Accumulables":[{"ID":3139,"Name":"internal.metrics.executorRunTime","Update":899,"Value":899,"Internal":true,"Count Failed Values":true},{"ID":3146,"Name":"internal.metrics.peakExecutionMemory","Update":26346400,"Value":26346400,"Internal":true,"Count Failed Values":true},{"ID":3148,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3149,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Update":2,"Value":2,"Internal":true,"Count Failed Values":true},{"ID":3150,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3151,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3152,"Name":"internal.metrics.shuffle.read.localBytesRead","Update":1764,"Value":1764,"Internal":true,"Count Failed Values":true},{"ID":3153,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3154,"Name":"internal.metrics.shuffle.read.recordsRead","Update":23,"Value":23,"Internal":true,"Count Failed Values":true},{"ID":3155,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3156,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3157,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3158,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3159,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3160,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3161,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3162,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3163,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3164,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true}]},"Task Executor Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":0,"Executor Deserialize CPU Time":0,"Executor Run Time":899,"Executor CPU Time":0,"Peak Execution Memory":26346400,"Result Size":0,"JVM GC Time":0,"Result Serialization Time":0,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":2,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":1764,"Total Records Read":23,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":0,"Shuffle Write Time":0,"Shuffle Records Written":0},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}} {"Event":"SparkListenerTaskStart","Stage ID":48,"Stage Attempt ID":0,"Task Info":{"Task ID":28,"Index":0,"Attempt":1,"Partition ID":0,"Launch Time":1784266250296,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":0,"Failed":false,"Killed":false,"Accumulables":[]}} {"Event":"SparkListenerTaskEnd","Stage ID":48,"Stage Attempt ID":0,"Task Type":"ResultTask","Task End Reason":{"Reason":"ExceptionFailure","Class Name":"java.sql.SQLException","Description":"Code: 60. DB::Exception: Unknown table expression identifier 'dm_lesson_popularity_summary' in scope SELECT lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view FROM dm_lesson_popularity_summary WHERE 0. (UNKNOWN_TABLE) (version 25.9.3.48 (official build))\n, server ClickHouseNode [uri=http://clickhouse.de-infra.servehttp.com:9004/anazarenko]@1416975163","Stack Trace":[{"Declaring Class":"com.clickhouse.jdbc.SqlExceptionUtils","Method Name":"handle","File Name":"SqlExceptionUtils.java","Line Number":85},{"Declaring Class":"com.clickhouse.jdbc.SqlExceptionUtils","Method Name":"create","File Name":"SqlExceptionUtils.java","Line Number":31},{"Declaring Class":"com.clickhouse.jdbc.SqlExceptionUtils","Method Name":"handle","File Name":"SqlExceptionUtils.java","Line Number":90},{"Declaring Class":"com.clickhouse.jdbc.internal.ClickHouseConnectionImpl","Method Name":"getTableColumns","File Name":"ClickHouseConnectionImpl.java","Line Number":267},{"Declaring Class":"com.clickhouse.jdbc.internal.ClickHouseConnectionImpl","Method Name":"prepareStatement","File Name":"ClickHouseConnectionImpl.java","Line Number":843},{"Declaring Class":"com.clickhouse.jdbc.ClickHouseConnection","Method Name":"prepareStatement","File Name":"ClickHouseConnection.java","Line Number":121},{"Declaring Class":"org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$","Method Name":"savePartition","File Name":"JdbcUtils.scala","Line Number":721},{"Declaring Class":"org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$","Method Name":"$anonfun$saveTable$1","File Name":"JdbcUtils.scala","Line Number":902},{"Declaring Class":"org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$","Method Name":"$anonfun$saveTable$1$adapted","File Name":"JdbcUtils.scala","Line Number":901},{"Declaring Class":"org.apache.spark.rdd.RDD","Method Name":"$anonfun$foreachPartition$2","File Name":"RDD.scala","Line Number":1039},{"Declaring Class":"org.apache.spark.rdd.RDD","Method Name":"$anonfun$foreachPartition$2$adapted","File Name":"RDD.scala","Line Number":1039},{"Declaring Class":"org.apache.spark.SparkContext","Method Name":"$anonfun$runJob$5","File Name":"SparkContext.scala","Line Number":2438},{"Declaring Class":"org.apache.spark.scheduler.ResultTask","Method Name":"runTask","File Name":"ResultTask.scala","Line Number":93},{"Declaring Class":"org.apache.spark.TaskContext","Method Name":"runTaskWithListeners","File Name":"TaskContext.scala","Line Number":166},{"Declaring Class":"org.apache.spark.scheduler.Task","Method Name":"run","File Name":"Task.scala","Line Number":141},{"Declaring Class":"org.apache.spark.executor.Executor$TaskRunner","Method Name":"$anonfun$run$4","File Name":"Executor.scala","Line Number":620},{"Declaring Class":"org.apache.spark.util.SparkErrorUtils","Method Name":"tryWithSafeFinally","File Name":"SparkErrorUtils.scala","Line Number":64},{"Declaring Class":"org.apache.spark.util.SparkErrorUtils","Method Name":"tryWithSafeFinally$","File Name":"SparkErrorUtils.scala","Line Number":61},{"Declaring Class":"org.apache.spark.util.Utils$","Method Name":"tryWithSafeFinally","File Name":"Utils.scala","Line Number":94},{"Declaring Class":"org.apache.spark.executor.Executor$TaskRunner","Method Name":"run","File Name":"Executor.scala","Line Number":623},{"Declaring Class":"java.util.concurrent.ThreadPoolExecutor","Method Name":"runWorker","File Name":null,"Line Number":-1},{"Declaring Class":"java.util.concurrent.ThreadPoolExecutor$Worker","Method Name":"run","File Name":null,"Line Number":-1},{"Declaring Class":"java.lang.Thread","Method Name":"run","File Name":null,"Line Number":-1}],"Full Stack Trace":"java.sql.SQLException: Code: 60. DB::Exception: Unknown table expression identifier 'dm_lesson_popularity_summary' in scope SELECT lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view FROM dm_lesson_popularity_summary WHERE 0. (UNKNOWN_TABLE) (version 25.9.3.48 (official build))\n, server ClickHouseNode [uri=http://clickhouse.de-infra.servehttp.com:9004/anazarenko]@1416975163\n\tat com.clickhouse.jdbc.SqlExceptionUtils.handle(SqlExceptionUtils.java:85)\n\tat com.clickhouse.jdbc.SqlExceptionUtils.create(SqlExceptionUtils.java:31)\n\tat com.clickhouse.jdbc.SqlExceptionUtils.handle(SqlExceptionUtils.java:90)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.getTableColumns(ClickHouseConnectionImpl.java:267)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.prepareStatement(ClickHouseConnectionImpl.java:843)\n\tat com.clickhouse.jdbc.ClickHouseConnection.prepareStatement(ClickHouseConnection.java:121)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:721)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1(JdbcUtils.scala:902)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1$adapted(JdbcUtils.scala:901)\n\tat org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2(RDD.scala:1039)\n\tat org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2$adapted(RDD.scala:1039)\n\tat org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2438)\n\tat org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)\n\tat org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)\n\tat org.apache.spark.scheduler.Task.run(Task.scala:141)\n\tat org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)\n\tat org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)\n\tat org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)\n\tat java.base/java.lang.Thread.run(Unknown Source)\nCaused by: java.io.IOException: Code: 60. DB::Exception: Unknown table expression identifier 'dm_lesson_popularity_summary' in scope SELECT lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view FROM dm_lesson_popularity_summary WHERE 0. (UNKNOWN_TABLE) (version 25.9.3.48 (official build))\n\n\tat com.clickhouse.client.http.ApacheHttpConnectionImpl.checkResponse(ApacheHttpConnectionImpl.java:209)\n\tat com.clickhouse.client.http.ApacheHttpConnectionImpl.post(ApacheHttpConnectionImpl.java:243)\n\tat com.clickhouse.client.http.ClickHouseHttpClient.send(ClickHouseHttpClient.java:118)\n\tat com.clickhouse.client.AbstractClient.execute(AbstractClient.java:280)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.sendOnce(ClickHouseClientBuilder.java:282)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.send(ClickHouseClientBuilder.java:294)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.execute(ClickHouseClientBuilder.java:349)\n\tat com.clickhouse.client.ClickHouseClient.executeAndWait(ClickHouseClient.java:878)\n\tat com.clickhouse.client.ClickHouseRequest.executeAndWait(ClickHouseRequest.java:2154)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.getTableColumns(ClickHouseConnectionImpl.java:264)\n\t... 19 more\n","Accumulator Updates":[{"ID":3139,"Update":"68","Internal":false,"Count Failed Values":true},{"ID":3141,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3146,"Update":"26346400","Internal":false,"Count Failed Values":true},{"ID":3148,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3149,"Update":"2","Internal":false,"Count Failed Values":true},{"ID":3150,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3151,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3152,"Update":"1764","Internal":false,"Count Failed Values":true},{"ID":3153,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3154,"Update":"23","Internal":false,"Count Failed Values":true},{"ID":3155,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3156,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3157,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3158,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3159,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3160,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3161,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3162,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3163,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3164,"Update":"0","Internal":false,"Count Failed Values":true}]},"Task Info":{"Task ID":28,"Index":0,"Attempt":1,"Partition ID":0,"Launch Time":1784266250296,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":1784266250375,"Failed":true,"Killed":false,"Accumulables":[{"ID":3139,"Name":"internal.metrics.executorRunTime","Update":68,"Value":967,"Internal":true,"Count Failed Values":true},{"ID":3146,"Name":"internal.metrics.peakExecutionMemory","Update":26346400,"Value":52692800,"Internal":true,"Count Failed Values":true},{"ID":3148,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3149,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Update":2,"Value":4,"Internal":true,"Count Failed Values":true},{"ID":3150,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3151,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3152,"Name":"internal.metrics.shuffle.read.localBytesRead","Update":1764,"Value":3528,"Internal":true,"Count Failed Values":true},{"ID":3153,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3154,"Name":"internal.metrics.shuffle.read.recordsRead","Update":23,"Value":46,"Internal":true,"Count Failed Values":true},{"ID":3155,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3156,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3157,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3158,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3159,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3160,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3161,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3162,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3163,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":3164,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true}]},"Task Executor Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":0,"Executor Deserialize CPU Time":0,"Executor Run Time":68,"Executor CPU Time":0,"Peak Execution Memory":26346400,"Result Size":0,"JVM GC Time":0,"Result Serialization Time":0,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":2,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":1764,"Total Records Read":23,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":0,"Shuffle Write Time":0,"Shuffle Records Written":0},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}} {"Event":"SparkListenerTaskStart","Stage ID":48,"Stage Attempt ID":0,"Task Info":{"Task ID":29,"Index":0,"Attempt":2,"Partition ID":0,"Launch Time":1784266250375,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":0,"Failed":false,"Killed":false,"Accumulables":[]}} {"Event":"SparkListenerTaskEnd","Stage ID":48,"Stage Attempt ID":0,"Task Type":"ResultTask","Task End Reason":{"Reason":"ExceptionFailure","Class Name":"java.sql.SQLException","Description":"Cannot set null to non-nullable column #7 [first_view DateTime64(3)]","Stack Trace":[{"Declaring Class":"com.clickhouse.jdbc.SqlExceptionUtils","Method Name":"clientError","File Name":"SqlExceptionUtils.java","Line Number":73},{"Declaring Class":"com.clickhouse.jdbc.internal.InputBasedPreparedStatement","Method Name":"addBatch","File Name":"InputBasedPreparedStatement.java","Line Number":341},{"Declaring Class":"org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$","Method Name":"savePartition","File Name":"JdbcUtils.scala","Line Number":742},{"Declaring Class":"org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$","Method Name":"$anonfun$saveTable$1","File Name":"JdbcUtils.scala","Line Number":902},{"Declaring Class":"org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$","Method Name":"$anonfun$saveTable$1$adapted","File Name":"JdbcUtils.scala","Line Number":901},{"Declaring Class":"org.apache.spark.rdd.RDD","Method Name":"$anonfun$foreachPartition$2","File Name":"RDD.scala","Line Number":1039},{"Declaring Class":"org.apache.spark.rdd.RDD","Method Name":"$anonfun$foreachPartition$2$adapted","File Name":"RDD.scala","Line Number":1039},{"Declaring Class":"org.apache.spark.SparkContext","Method Name":"$anonfun$runJob$5","File Name":"SparkContext.scala","Line Number":2438},{"Declaring Class":"org.apache.spark.scheduler.ResultTask","Method Name":"runTask","File Name":"ResultTask.scala","Line Number":93},{"Declaring Class":"org.apache.spark.TaskContext","Method Name":"runTaskWithListeners","File Name":"TaskContext.scala","Line Number":166},{"Declaring Class":"org.apache.spark.scheduler.Task","Method Name":"run","File Name":"Task.scala","Line Number":141},{"Declaring Class":"org.apache.spark.executor.Executor$TaskRunner","Method Name":"$anonfun$run$4","File Name":"Executor.scala","Line Number":620},{"Declaring Class":"org.apache.spark.util.SparkErrorUtils","Method Name":"tryWithSafeFinally","File Name":"SparkErrorUtils.scala","Line Number":64},{"Declaring Class":"org.apache.spark.util.SparkErrorUtils","Method Name":"tryWithSafeFinally$","File Name":"SparkErrorUtils.scala","Line Number":61},{"Declaring Class":"org.apache.spark.util.Utils$","Method Name":"tryWithSafeFinally","File Name":"Utils.scala","Line Number":94},{"Declaring Class":"org.apache.spark.executor.Executor$TaskRunner","Method Name":"run","File Name":"Executor.scala","Line Number":623},{"Declaring Class":"java.util.concurrent.ThreadPoolExecutor","Method Name":"runWorker","File Name":null,"Line Number":-1},{"Declaring Class":"java.util.concurrent.ThreadPoolExecutor$Worker","Method Name":"run","File Name":null,"Line Number":-1},{"Declaring Class":"java.lang.Thread","Method Name":"run","File Name":null,"Line Number":-1}],"Full Stack Trace":"java.sql.SQLException: Cannot set null to non-nullable column #7 [first_view DateTime64(3)]\n\tat com.clickhouse.jdbc.SqlExceptionUtils.clientError(SqlExceptionUtils.java:73)\n\tat com.clickhouse.jdbc.internal.InputBasedPreparedStatement.addBatch(InputBasedPreparedStatement.java:341)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:742)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1(JdbcUtils.scala:902)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1$adapted(JdbcUtils.scala:901)\n\tat org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2(RDD.scala:1039)\n\tat org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2$adapted(RDD.scala:1039)\n\tat org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2438)\n\tat org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)\n\tat org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)\n\tat org.apache.spark.scheduler.Task.run(Task.scala:141)\n\tat org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)\n\tat org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)\n\tat org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)\n\tat java.base/java.lang.Thread.run(Unknown Source)\n","Accumulator Updates":[{"ID":3139,"Update":"52","Internal":false,"Count Failed Values":true},{"ID":3141,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3146,"Update":"26346400","Internal":false,"Count Failed Values":true},{"ID":3148,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3149,"Update":"2","Internal":false,"Count Failed 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Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":0,"Shuffle Write Time":0,"Shuffle Records Written":0},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}} {"Event":"SparkListenerTaskStart","Stage ID":48,"Stage Attempt ID":0,"Task Info":{"Task ID":30,"Index":0,"Attempt":3,"Partition ID":0,"Launch Time":1784266250434,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":0,"Failed":false,"Killed":false,"Accumulables":[]}} {"Event":"SparkListenerTaskEnd","Stage ID":48,"Stage Attempt ID":0,"Task Type":"ResultTask","Task End Reason":{"Reason":"ExceptionFailure","Class Name":"java.sql.SQLException","Description":"Code: 60. DB::Exception: Unknown table expression identifier 'dm_lesson_popularity_summary' in scope SELECT lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view FROM dm_lesson_popularity_summary WHERE 0. (UNKNOWN_TABLE) (version 25.9.3.48 (official build))\n, server ClickHouseNode [uri=http://clickhouse.de-infra.servehttp.com:9004/anazarenko]@1416975163","Stack Trace":[{"Declaring Class":"com.clickhouse.jdbc.SqlExceptionUtils","Method Name":"handle","File Name":"SqlExceptionUtils.java","Line Number":85},{"Declaring Class":"com.clickhouse.jdbc.SqlExceptionUtils","Method Name":"create","File Name":"SqlExceptionUtils.java","Line Number":31},{"Declaring Class":"com.clickhouse.jdbc.SqlExceptionUtils","Method Name":"handle","File Name":"SqlExceptionUtils.java","Line Number":90},{"Declaring Class":"com.clickhouse.jdbc.internal.ClickHouseConnectionImpl","Method Name":"getTableColumns","File Name":"ClickHouseConnectionImpl.java","Line Number":267},{"Declaring Class":"com.clickhouse.jdbc.internal.ClickHouseConnectionImpl","Method Name":"prepareStatement","File Name":"ClickHouseConnectionImpl.java","Line Number":843},{"Declaring Class":"com.clickhouse.jdbc.ClickHouseConnection","Method Name":"prepareStatement","File Name":"ClickHouseConnection.java","Line Number":121},{"Declaring Class":"org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$","Method Name":"savePartition","File Name":"JdbcUtils.scala","Line Number":721},{"Declaring Class":"org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$","Method Name":"$anonfun$saveTable$1","File Name":"JdbcUtils.scala","Line Number":902},{"Declaring Class":"org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$","Method Name":"$anonfun$saveTable$1$adapted","File Name":"JdbcUtils.scala","Line Number":901},{"Declaring Class":"org.apache.spark.rdd.RDD","Method Name":"$anonfun$foreachPartition$2","File Name":"RDD.scala","Line Number":1039},{"Declaring Class":"org.apache.spark.rdd.RDD","Method Name":"$anonfun$foreachPartition$2$adapted","File Name":"RDD.scala","Line Number":1039},{"Declaring Class":"org.apache.spark.SparkContext","Method Name":"$anonfun$runJob$5","File Name":"SparkContext.scala","Line Number":2438},{"Declaring Class":"org.apache.spark.scheduler.ResultTask","Method Name":"runTask","File Name":"ResultTask.scala","Line Number":93},{"Declaring Class":"org.apache.spark.TaskContext","Method Name":"runTaskWithListeners","File Name":"TaskContext.scala","Line Number":166},{"Declaring Class":"org.apache.spark.scheduler.Task","Method Name":"run","File Name":"Task.scala","Line Number":141},{"Declaring Class":"org.apache.spark.executor.Executor$TaskRunner","Method Name":"$anonfun$run$4","File Name":"Executor.scala","Line Number":620},{"Declaring Class":"org.apache.spark.util.SparkErrorUtils","Method Name":"tryWithSafeFinally","File Name":"SparkErrorUtils.scala","Line Number":64},{"Declaring Class":"org.apache.spark.util.SparkErrorUtils","Method Name":"tryWithSafeFinally$","File Name":"SparkErrorUtils.scala","Line Number":61},{"Declaring Class":"org.apache.spark.util.Utils$","Method Name":"tryWithSafeFinally","File Name":"Utils.scala","Line Number":94},{"Declaring Class":"org.apache.spark.executor.Executor$TaskRunner","Method Name":"run","File Name":"Executor.scala","Line Number":623},{"Declaring Class":"java.util.concurrent.ThreadPoolExecutor","Method Name":"runWorker","File Name":null,"Line Number":-1},{"Declaring Class":"java.util.concurrent.ThreadPoolExecutor$Worker","Method Name":"run","File Name":null,"Line Number":-1},{"Declaring Class":"java.lang.Thread","Method Name":"run","File Name":null,"Line Number":-1}],"Full Stack Trace":"java.sql.SQLException: Code: 60. DB::Exception: Unknown table expression identifier 'dm_lesson_popularity_summary' in scope SELECT lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view FROM dm_lesson_popularity_summary WHERE 0. (UNKNOWN_TABLE) (version 25.9.3.48 (official build))\n, server ClickHouseNode [uri=http://clickhouse.de-infra.servehttp.com:9004/anazarenko]@1416975163\n\tat com.clickhouse.jdbc.SqlExceptionUtils.handle(SqlExceptionUtils.java:85)\n\tat com.clickhouse.jdbc.SqlExceptionUtils.create(SqlExceptionUtils.java:31)\n\tat com.clickhouse.jdbc.SqlExceptionUtils.handle(SqlExceptionUtils.java:90)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.getTableColumns(ClickHouseConnectionImpl.java:267)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.prepareStatement(ClickHouseConnectionImpl.java:843)\n\tat com.clickhouse.jdbc.ClickHouseConnection.prepareStatement(ClickHouseConnection.java:121)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:721)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1(JdbcUtils.scala:902)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1$adapted(JdbcUtils.scala:901)\n\tat org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2(RDD.scala:1039)\n\tat org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2$adapted(RDD.scala:1039)\n\tat org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2438)\n\tat org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)\n\tat org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)\n\tat org.apache.spark.scheduler.Task.run(Task.scala:141)\n\tat org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)\n\tat org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)\n\tat org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)\n\tat java.base/java.lang.Thread.run(Unknown Source)\nCaused by: java.io.IOException: Code: 60. DB::Exception: Unknown table expression identifier 'dm_lesson_popularity_summary' in scope SELECT lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view FROM dm_lesson_popularity_summary WHERE 0. (UNKNOWN_TABLE) (version 25.9.3.48 (official build))\n\n\tat com.clickhouse.client.http.ApacheHttpConnectionImpl.checkResponse(ApacheHttpConnectionImpl.java:209)\n\tat com.clickhouse.client.http.ApacheHttpConnectionImpl.post(ApacheHttpConnectionImpl.java:243)\n\tat com.clickhouse.client.http.ClickHouseHttpClient.send(ClickHouseHttpClient.java:118)\n\tat com.clickhouse.client.AbstractClient.execute(AbstractClient.java:280)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.sendOnce(ClickHouseClientBuilder.java:282)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.send(ClickHouseClientBuilder.java:294)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.execute(ClickHouseClientBuilder.java:349)\n\tat com.clickhouse.client.ClickHouseClient.executeAndWait(ClickHouseClient.java:878)\n\tat com.clickhouse.client.ClickHouseRequest.executeAndWait(ClickHouseRequest.java:2154)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.getTableColumns(ClickHouseConnectionImpl.java:264)\n\t... 19 more\n","Accumulator Updates":[{"ID":3139,"Update":"75","Internal":false,"Count Failed Values":true},{"ID":3141,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3142,"Update":"13","Internal":false,"Count Failed Values":true},{"ID":3146,"Update":"26346400","Internal":false,"Count Failed Values":true},{"ID":3148,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3149,"Update":"2","Internal":false,"Count Failed Values":true},{"ID":3150,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3151,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3152,"Update":"1764","Internal":false,"Count Failed Values":true},{"ID":3153,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3154,"Update":"23","Internal":false,"Count Failed Values":true},{"ID":3155,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3156,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3157,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3158,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3159,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3160,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3161,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3162,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3163,"Update":"0","Internal":false,"Count Failed Values":true},{"ID":3164,"Update":"0","Internal":false,"Count Failed Values":true}]},"Task Info":{"Task ID":30,"Index":0,"Attempt":3,"Partition ID":0,"Launch Time":1784266250434,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish 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Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":0,"Executor Deserialize CPU Time":0,"Executor Run Time":75,"Executor CPU Time":0,"Peak Execution Memory":26346400,"Result Size":0,"JVM GC Time":13,"Result Serialization Time":0,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":2,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":1764,"Total Records Read":23,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":0,"Shuffle Write Time":0,"Shuffle Records Written":0},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}} {"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":48,"Stage Attempt ID":0,"Stage Name":"save at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":95,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"258\",\"name\":\"mapPartitions\"}","Callsite":"save at NativeMethodAccessorImpl.java:0","Parent IDs":[94],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off 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NativeMethodAccessorImpl.java:0","Parent IDs":[87],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":87,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"252\",\"name\":\"AQEShuffleRead\"}","Callsite":"save at NativeMethodAccessorImpl.java:0","Parent IDs":[80],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":89,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"257\",\"name\":\"AQEShuffleRead\"}","Callsite":"save at NativeMethodAccessorImpl.java:0","Parent IDs":[82],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":92,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"238\",\"name\":\"WholeStageCodegen (6)\"}","Callsite":"save at NativeMethodAccessorImpl.java:0","Parent IDs":[91],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[46,47],"Details":"org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:248)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784266249358,"Completion Time":1784266250519,"Failure Reason":"Job aborted due to stage failure: Task 0 in stage 48.0 failed 4 times, most recent failure: Lost task 0.3 in stage 48.0 (TID 30) (172.28.0.49 executor 0): java.sql.SQLException: Code: 60. DB::Exception: Unknown table expression identifier 'dm_lesson_popularity_summary' in scope SELECT lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view FROM dm_lesson_popularity_summary WHERE 0. (UNKNOWN_TABLE) (version 25.9.3.48 (official build))\n, server ClickHouseNode [uri=http://clickhouse.de-infra.servehttp.com:9004/anazarenko]@1416975163\n\tat com.clickhouse.jdbc.SqlExceptionUtils.handle(SqlExceptionUtils.java:85)\n\tat com.clickhouse.jdbc.SqlExceptionUtils.create(SqlExceptionUtils.java:31)\n\tat com.clickhouse.jdbc.SqlExceptionUtils.handle(SqlExceptionUtils.java:90)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.getTableColumns(ClickHouseConnectionImpl.java:267)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.prepareStatement(ClickHouseConnectionImpl.java:843)\n\tat com.clickhouse.jdbc.ClickHouseConnection.prepareStatement(ClickHouseConnection.java:121)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:721)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1(JdbcUtils.scala:902)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1$adapted(JdbcUtils.scala:901)\n\tat org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2(RDD.scala:1039)\n\tat org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2$adapted(RDD.scala:1039)\n\tat org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2438)\n\tat org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)\n\tat org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)\n\tat org.apache.spark.scheduler.Task.run(Task.scala:141)\n\tat org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)\n\tat org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)\n\tat org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)\n\tat java.base/java.lang.Thread.run(Unknown Source)\nCaused by: java.io.IOException: Code: 60. DB::Exception: Unknown table expression identifier 'dm_lesson_popularity_summary' in scope SELECT lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view FROM dm_lesson_popularity_summary WHERE 0. (UNKNOWN_TABLE) (version 25.9.3.48 (official build))\n\n\tat com.clickhouse.client.http.ApacheHttpConnectionImpl.checkResponse(ApacheHttpConnectionImpl.java:209)\n\tat com.clickhouse.client.http.ApacheHttpConnectionImpl.post(ApacheHttpConnectionImpl.java:243)\n\tat com.clickhouse.client.http.ClickHouseHttpClient.send(ClickHouseHttpClient.java:118)\n\tat com.clickhouse.client.AbstractClient.execute(AbstractClient.java:280)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.sendOnce(ClickHouseClientBuilder.java:282)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.send(ClickHouseClientBuilder.java:294)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.execute(ClickHouseClientBuilder.java:349)\n\tat com.clickhouse.client.ClickHouseClient.executeAndWait(ClickHouseClient.java:878)\n\tat com.clickhouse.client.ClickHouseRequest.executeAndWait(ClickHouseRequest.java:2154)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.getTableColumns(ClickHouseConnectionImpl.java:264)\n\t... 19 more\n\nDriver stacktrace:","Accumulables":[{"ID":3139,"Name":"internal.metrics.executorRunTime","Value":1094,"Internal":true,"Count Failed Values":true},{"ID":3142,"Name":"internal.metrics.jvmGCTime","Value":13,"Internal":true,"Count Failed Values":true},{"ID":3146,"Name":"internal.metrics.peakExecutionMemory","Value":105385600,"Internal":true,"Count Failed Values":true},{"ID":3148,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":3149,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":8,"Internal":true,"Count Failed Values":true},{"ID":3150,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":3151,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":3152,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":7056,"Internal":true,"Count Failed Values":true},{"ID":3153,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":3154,"Name":"internal.metrics.shuffle.read.recordsRead","Value":92,"Internal":true,"Count Failed Values":true},{"ID":3155,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":3156,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":3157,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":3158,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":3159,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":3160,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":3161,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":3162,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":3163,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":3164,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}} {"Event":"SparkListenerJobEnd","Job ID":27,"Completion Time":1784266250520,"Job Result":{"Result":"JobFailed","Exception":{"Message":"Job aborted due to stage failure: Task 0 in stage 48.0 failed 4 times, most recent failure: Lost task 0.3 in stage 48.0 (TID 30) (172.28.0.49 executor 0): java.sql.SQLException: Code: 60. DB::Exception: Unknown table expression identifier 'dm_lesson_popularity_summary' in scope SELECT lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view FROM dm_lesson_popularity_summary WHERE 0. (UNKNOWN_TABLE) (version 25.9.3.48 (official build))\n, server ClickHouseNode [uri=http://clickhouse.de-infra.servehttp.com:9004/anazarenko]@1416975163\n\tat com.clickhouse.jdbc.SqlExceptionUtils.handle(SqlExceptionUtils.java:85)\n\tat com.clickhouse.jdbc.SqlExceptionUtils.create(SqlExceptionUtils.java:31)\n\tat com.clickhouse.jdbc.SqlExceptionUtils.handle(SqlExceptionUtils.java:90)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.getTableColumns(ClickHouseConnectionImpl.java:267)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.prepareStatement(ClickHouseConnectionImpl.java:843)\n\tat com.clickhouse.jdbc.ClickHouseConnection.prepareStatement(ClickHouseConnection.java:121)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:721)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1(JdbcUtils.scala:902)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1$adapted(JdbcUtils.scala:901)\n\tat org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2(RDD.scala:1039)\n\tat org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2$adapted(RDD.scala:1039)\n\tat org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2438)\n\tat org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)\n\tat org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)\n\tat org.apache.spark.scheduler.Task.run(Task.scala:141)\n\tat org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)\n\tat org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)\n\tat org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)\n\tat java.base/java.lang.Thread.run(Unknown Source)\nCaused by: java.io.IOException: Code: 60. DB::Exception: Unknown table expression identifier 'dm_lesson_popularity_summary' in scope SELECT lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view FROM dm_lesson_popularity_summary WHERE 0. (UNKNOWN_TABLE) (version 25.9.3.48 (official build))\n\n\tat com.clickhouse.client.http.ApacheHttpConnectionImpl.checkResponse(ApacheHttpConnectionImpl.java:209)\n\tat com.clickhouse.client.http.ApacheHttpConnectionImpl.post(ApacheHttpConnectionImpl.java:243)\n\tat com.clickhouse.client.http.ClickHouseHttpClient.send(ClickHouseHttpClient.java:118)\n\tat com.clickhouse.client.AbstractClient.execute(AbstractClient.java:280)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.sendOnce(ClickHouseClientBuilder.java:282)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.send(ClickHouseClientBuilder.java:294)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.execute(ClickHouseClientBuilder.java:349)\n\tat com.clickhouse.client.ClickHouseClient.executeAndWait(ClickHouseClient.java:878)\n\tat com.clickhouse.client.ClickHouseRequest.executeAndWait(ClickHouseRequest.java:2154)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.getTableColumns(ClickHouseConnectionImpl.java:264)\n\t... 19 more\n\nDriver stacktrace:","Stack Trace":[{"Declaring Class":"org.apache.spark.scheduler.DAGScheduler","Method Name":"failJobAndIndependentStages","File Name":"DAGScheduler.scala","Line Number":2856},{"Declaring Class":"org.apache.spark.scheduler.DAGScheduler","Method Name":"$anonfun$abortStage$2","File Name":"DAGScheduler.scala","Line Number":2792},{"Declaring Class":"org.apache.spark.scheduler.DAGScheduler","Method Name":"$anonfun$abortStage$2$adapted","File Name":"DAGScheduler.scala","Line Number":2791},{"Declaring Class":"scala.collection.mutable.ResizableArray","Method Name":"foreach","File Name":"ResizableArray.scala","Line Number":62},{"Declaring Class":"scala.collection.mutable.ResizableArray","Method Name":"foreach$","File Name":"ResizableArray.scala","Line Number":55},{"Declaring Class":"scala.collection.mutable.ArrayBuffer","Method Name":"foreach","File Name":"ArrayBuffer.scala","Line Number":49},{"Declaring Class":"org.apache.spark.scheduler.DAGScheduler","Method Name":"abortStage","File Name":"DAGScheduler.scala","Line Number":2791},{"Declaring Class":"org.apache.spark.scheduler.DAGScheduler","Method Name":"$anonfun$handleTaskSetFailed$1","File Name":"DAGScheduler.scala","Line Number":1247},{"Declaring Class":"org.apache.spark.scheduler.DAGScheduler","Method Name":"$anonfun$handleTaskSetFailed$1$adapted","File Name":"DAGScheduler.scala","Line Number":1247},{"Declaring Class":"scala.Option","Method Name":"foreach","File Name":"Option.scala","Line Number":407},{"Declaring Class":"org.apache.spark.scheduler.DAGScheduler","Method Name":"handleTaskSetFailed","File Name":"DAGScheduler.scala","Line Number":1247},{"Declaring Class":"org.apache.spark.scheduler.DAGSchedulerEventProcessLoop","Method Name":"doOnReceive","File Name":"DAGScheduler.scala","Line Number":3060},{"Declaring Class":"org.apache.spark.scheduler.DAGSchedulerEventProcessLoop","Method Name":"onReceive","File Name":"DAGScheduler.scala","Line Number":2994},{"Declaring Class":"org.apache.spark.scheduler.DAGSchedulerEventProcessLoop","Method Name":"onReceive","File Name":"DAGScheduler.scala","Line Number":2983},{"Declaring Class":"org.apache.spark.util.EventLoop$$anon$1","Method Name":"run","File Name":"EventLoop.scala","Line Number":49}]}}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionEnd","executionId":4,"time":1784266250582,"errorMessage":"Job aborted due to stage failure: Task 0 in stage 48.0 failed 4 times, most recent failure: Lost task 0.3 in stage 48.0 (TID 30) (172.28.0.49 executor 0): java.sql.SQLException: Code: 60. DB::Exception: Unknown table expression identifier 'dm_lesson_popularity_summary' in scope SELECT lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view FROM dm_lesson_popularity_summary WHERE 0. (UNKNOWN_TABLE) (version 25.9.3.48 (official build))\n, server ClickHouseNode [uri=http://clickhouse.de-infra.servehttp.com:9004/anazarenko]@1416975163\n\tat com.clickhouse.jdbc.SqlExceptionUtils.handle(SqlExceptionUtils.java:85)\n\tat com.clickhouse.jdbc.SqlExceptionUtils.create(SqlExceptionUtils.java:31)\n\tat com.clickhouse.jdbc.SqlExceptionUtils.handle(SqlExceptionUtils.java:90)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.getTableColumns(ClickHouseConnectionImpl.java:267)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.prepareStatement(ClickHouseConnectionImpl.java:843)\n\tat com.clickhouse.jdbc.ClickHouseConnection.prepareStatement(ClickHouseConnection.java:121)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:721)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1(JdbcUtils.scala:902)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1$adapted(JdbcUtils.scala:901)\n\tat org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2(RDD.scala:1039)\n\tat org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2$adapted(RDD.scala:1039)\n\tat org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2438)\n\tat org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)\n\tat org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)\n\tat org.apache.spark.scheduler.Task.run(Task.scala:141)\n\tat org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)\n\tat org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)\n\tat org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)\n\tat java.base/java.lang.Thread.run(Unknown Source)\nCaused by: java.io.IOException: Code: 60. DB::Exception: Unknown table expression identifier 'dm_lesson_popularity_summary' in scope SELECT lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view FROM dm_lesson_popularity_summary WHERE 0. (UNKNOWN_TABLE) (version 25.9.3.48 (official build))\n\n\tat com.clickhouse.client.http.ApacheHttpConnectionImpl.checkResponse(ApacheHttpConnectionImpl.java:209)\n\tat com.clickhouse.client.http.ApacheHttpConnectionImpl.post(ApacheHttpConnectionImpl.java:243)\n\tat com.clickhouse.client.http.ClickHouseHttpClient.send(ClickHouseHttpClient.java:118)\n\tat com.clickhouse.client.AbstractClient.execute(AbstractClient.java:280)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.sendOnce(ClickHouseClientBuilder.java:282)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.send(ClickHouseClientBuilder.java:294)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.execute(ClickHouseClientBuilder.java:349)\n\tat com.clickhouse.client.ClickHouseClient.executeAndWait(ClickHouseClient.java:878)\n\tat com.clickhouse.client.ClickHouseRequest.executeAndWait(ClickHouseRequest.java:2154)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.getTableColumns(ClickHouseConnectionImpl.java:264)\n\t... 19 more\n\nDriver stacktrace:"} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionEnd","executionId":3,"time":1784266250583,"errorMessage":"Job aborted due to stage failure: Task 0 in stage 48.0 failed 4 times, most recent failure: Lost task 0.3 in stage 48.0 (TID 30) (172.28.0.49 executor 0): java.sql.SQLException: Code: 60. DB::Exception: Unknown table expression identifier 'dm_lesson_popularity_summary' in scope SELECT lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view FROM dm_lesson_popularity_summary WHERE 0. (UNKNOWN_TABLE) (version 25.9.3.48 (official build))\n, server ClickHouseNode [uri=http://clickhouse.de-infra.servehttp.com:9004/anazarenko]@1416975163\n\tat com.clickhouse.jdbc.SqlExceptionUtils.handle(SqlExceptionUtils.java:85)\n\tat com.clickhouse.jdbc.SqlExceptionUtils.create(SqlExceptionUtils.java:31)\n\tat com.clickhouse.jdbc.SqlExceptionUtils.handle(SqlExceptionUtils.java:90)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.getTableColumns(ClickHouseConnectionImpl.java:267)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.prepareStatement(ClickHouseConnectionImpl.java:843)\n\tat com.clickhouse.jdbc.ClickHouseConnection.prepareStatement(ClickHouseConnection.java:121)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:721)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1(JdbcUtils.scala:902)\n\tat org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1$adapted(JdbcUtils.scala:901)\n\tat org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2(RDD.scala:1039)\n\tat org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2$adapted(RDD.scala:1039)\n\tat org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2438)\n\tat org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)\n\tat org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)\n\tat org.apache.spark.scheduler.Task.run(Task.scala:141)\n\tat org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:620)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)\n\tat org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)\n\tat org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)\n\tat org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:623)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)\n\tat java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)\n\tat java.base/java.lang.Thread.run(Unknown Source)\nCaused by: java.io.IOException: Code: 60. DB::Exception: Unknown table expression identifier 'dm_lesson_popularity_summary' in scope SELECT lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view FROM dm_lesson_popularity_summary WHERE 0. (UNKNOWN_TABLE) (version 25.9.3.48 (official build))\n\n\tat com.clickhouse.client.http.ApacheHttpConnectionImpl.checkResponse(ApacheHttpConnectionImpl.java:209)\n\tat com.clickhouse.client.http.ApacheHttpConnectionImpl.post(ApacheHttpConnectionImpl.java:243)\n\tat com.clickhouse.client.http.ClickHouseHttpClient.send(ClickHouseHttpClient.java:118)\n\tat com.clickhouse.client.AbstractClient.execute(AbstractClient.java:280)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.sendOnce(ClickHouseClientBuilder.java:282)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.send(ClickHouseClientBuilder.java:294)\n\tat com.clickhouse.client.ClickHouseClientBuilder$Agent.execute(ClickHouseClientBuilder.java:349)\n\tat com.clickhouse.client.ClickHouseClient.executeAndWait(ClickHouseClient.java:878)\n\tat com.clickhouse.client.ClickHouseRequest.executeAndWait(ClickHouseRequest.java:2154)\n\tat com.clickhouse.jdbc.internal.ClickHouseConnectionImpl.getTableColumns(ClickHouseConnectionImpl.java:264)\n\t... 19 more\n\nDriver stacktrace:"} {"Event":"SparkListenerApplicationEnd","Timestamp":1784266250746}