{"Event":"SparkListenerLogStart","Spark Version":"3.5.1"}
{"Event":"SparkListenerResourceProfileAdded","Resource Profile Id":0,"Executor Resource Requests":{"memory":{"Resource Name":"memory","Amount":1024,"Discovery Script":"","Vendor":""},"offHeap":{"Resource Name":"offHeap","Amount":0,"Discovery Script":"","Vendor":""}},"Task Resource Requests":{"cpus":{"Resource Name":"cpus","Amount":1.0}}}
{"Event":"SparkListenerBlockManagerAdded","Block Manager ID":{"Executor ID":"driver","Host":"73850a3d530b","Port":40213},"Maximum Memory":455501414,"Timestamp":1784024729000,"Maximum Onheap Memory":455501414,"Maximum Offheap Memory":0}
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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","/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 Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/kubernetes-model-resource-6.7.2.jar":"System Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/hive-service-rpc-3.1.3.jar":"System Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/spark-kvstore_2.12-3.5.1.jar":"System Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/jakarta.xml.bind-api-2.3.2.jar":"System Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/kubernetes-model-networking-6.7.2.jar":"System Classpath","/home/airflow/.local/lib/python3.11/site-packages/pyspark/jars/jersey-container-servlet-core-2.40.jar":"System 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","/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":"dm_lesson_popularity_ranking","App ID":"app-20260714142528-0076","Timestamp":1784024727259,"User":"airflow"}
{"Event":"SparkListenerExecutorAdded","Timestamp":1784024732824,"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-20260714142528-0076&executorId=0&logType=stdout","stderr":"http://172.28.0.49:8081/logPage/?appId=app-20260714142528-0076&executorId=0&logType=stderr"},"Attributes":{},"Resources":{},"Resource Profile Id":0,"Registration Time":1784024732824}}
{"Event":"SparkListenerBlockManagerAdded","Block Manager ID":{"Executor ID":"0","Host":"172.28.0.49","Port":35861},"Maximum Memory":455501414,"Timestamp":1784024732970,"Maximum Onheap Memory":455501414,"Maximum Offheap Memory":0}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionStart","executionId":0,"rootExecutionId":0,"description":"parquet at NativeMethodAccessorImpl.java:0","details":"org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:792)\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 (39)\n+- Execute InsertIntoHadoopFsRelationCommand (38)\n   +- WriteFiles (37)\n      +- Sort (36)\n         +- Exchange (35)\n            +- Project (34)\n               +- Window (33)\n                  +- Sort (32)\n                     +- Exchange (31)\n                        +- Project (30)\n                           +- BroadcastHashJoin LeftOuter BuildRight (29)\n                              :- Project (19)\n                              :  +- BroadcastHashJoin Inner BuildRight (18)\n                              :     :- Project (14)\n                              :     :  +- HashAggregate (13)\n                              :     :     +- Exchange (12)\n                              :     :        +- HashAggregate (11)\n                              :     :           +- HashAggregate (10)\n                              :     :              +- Exchange (9)\n                              :     :                 +- HashAggregate (8)\n                              :     :                    +- Project (7)\n                              :     :                       +- BroadcastHashJoin LeftOuter BuildRight (6)\n                              :     :                          :- Filter (2)\n                              :     :                          :  +- Scan csv  (1)\n                              :     :                          +- BroadcastExchange (5)\n                              :     :                             +- Filter (4)\n                              :     :                                +- Scan csv  (3)\n                              :     +- BroadcastExchange (17)\n                              :        +- Filter (16)\n                              :           +- Scan csv  (15)\n                              +- BroadcastExchange (28)\n                                 +- HashAggregate (27)\n                                    +- Exchange (26)\n                                       +- HashAggregate (25)\n                                          +- HashAggregate (24)\n                                             +- Exchange (23)\n                                                +- HashAggregate (22)\n                                                   +- Filter (21)\n                                                      +- Scan csv  (20)\n\n\n(1) Scan csv \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(3) Scan csv \nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(4) Filter\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(5) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(6) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(7) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(8) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(9) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(10) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(11) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(12) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(13) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(14) Project\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(15) Scan csv \nOutput [2]: [id#24L, title#25]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.csv]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(16) Filter\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(17) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(18) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(19) Project\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(20) Scan csv \nOutput [2]: [user_id#17L, course_id#18L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(21) Filter\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(22) HashAggregate\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(23) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(24) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(25) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(26) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(27) HashAggregate\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(28) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(29) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(30) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(31) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=153]\n\n(32) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(33) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(34) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(35) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=158]\n\n(36) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(37) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\n\n(38) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(39) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [popularity_rank#140 ASC NULLS FIRST], true, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=158]","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]","children":[{"nodeName":"Window","simpleString":"Window [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=153]","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#1L], [course_id#18L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#1L], [id#24L], Inner, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L], 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{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (75)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (41)\n   +- WriteFiles (40)\n      +- Sort (39)\n         +- Exchange (38)\n            +- Project (37)\n               +- Window (36)\n                  +- Sort (35)\n                     +- Exchange (34)\n                        +- Project (33)\n                           +- BroadcastHashJoin LeftOuter BuildRight (32)\n                              :- Project (21)\n                              :  +- BroadcastHashJoin Inner BuildRight (20)\n                              :     :- Project (15)\n                              :     :  +- HashAggregate (14)\n                              :     :     +- Exchange (13)\n                              :     :        +- HashAggregate (12)\n                              :     :           +- HashAggregate (11)\n                              :     :              +- Exchange (10)\n                              :     :                 +- HashAggregate (9)\n                              :     :                    +- Project (8)\n                              :     :                       +- BroadcastHashJoin LeftOuter BuildRight (7)\n                              :     :                          :- Filter (2)\n                              :     :                          :  +- Scan csv  (1)\n                              :     :                          +- BroadcastQueryStage (6)\n                              :     :                             +- BroadcastExchange (5)\n                              :     :                                +- * Filter (4)\n                              :     :                                   +- Scan csv  (3)\n                              :     +- BroadcastQueryStage (19)\n                              :        +- BroadcastExchange (18)\n                              :           +- * Filter (17)\n                              :              +- Scan csv  (16)\n                              +- BroadcastExchange (31)\n                                 +- HashAggregate (30)\n                                    +- Exchange (29)\n                                       +- HashAggregate (28)\n                                          +- HashAggregate (27)\n                                             +- ShuffleQueryStage (26)\n                                                +- Exchange (25)\n                                                   +- * HashAggregate (24)\n                                                      +- * Filter (23)\n                                                         +- Scan csv  (22)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (74)\n   +- WriteFiles (73)\n      +- Sort (72)\n         +- Exchange (71)\n            +- Project (70)\n               +- Window (69)\n                  +- Sort (68)\n   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                         :     :                          :  +- Scan csv  (1)\n                              :     :                          +- BroadcastExchange (43)\n                              :     :                             +- Filter (42)\n                              :     :                                +- Scan csv  (3)\n                              :     +- BroadcastExchange (54)\n                              :        +- Filter (53)\n                              :           +- Scan csv  (16)\n                              +- BroadcastExchange (64)\n                                 +- HashAggregate (63)\n                                    +- Exchange (62)\n                                       +- HashAggregate (61)\n                                          +- HashAggregate (60)\n                                             +- Exchange (59)\n                                                +- HashAggregate (58)\n                                                   +- Filter (57)\n                                                      +- Scan csv  (22)\n\n\n(1) Scan csv \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(3) Scan csv \nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(4) Filter [codegen id : 1]\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(5) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=228]\n\n(6) BroadcastQueryStage\nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: 0\n\n(7) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(8) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(9) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(10) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=238]\n\n(11) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(12) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(13) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=241]\n\n(14) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(15) Project\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(16) Scan csv \nOutput [2]: [id#24L, title#25]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.csv]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(17) Filter [codegen id : 2]\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(18) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=247]\n\n(19) BroadcastQueryStage\nOutput [2]: [id#24L, title#25]\nArguments: 1\n\n(20) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(21) Project\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(22) Scan csv \nOutput [2]: [user_id#17L, course_id#18L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(23) Filter [codegen id : 3]\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(24) HashAggregate [codegen id : 3]\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(25) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=260]\n\n(26) ShuffleQueryStage\nOutput [2]: [course_id#18L, user_id#17L]\nArguments: 2\n\n(27) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(28) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(29) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=272]\n\n(30) HashAggregate\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(31) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=274]\n\n(32) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(33) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(34) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=277]\n\n(35) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(36) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(37) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(38) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=281]\n\n(39) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(40) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\n\n(41) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(42) Filter\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(43) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(44) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(45) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(46) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(47) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(48) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(49) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(50) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(51) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(52) Project\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(53) Filter\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(54) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(55) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(56) Project\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(57) Filter\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(58) HashAggregate\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(59) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(60) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(61) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(62) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(63) HashAggregate\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(64) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(65) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(66) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(67) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=153]\n\n(68) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(69) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(70) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(71) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=158]\n\n(72) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(73) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\n\n(74) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(75) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [popularity_rank#140 ASC NULLS FIRST], true, 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{"Event":"SparkListenerJobStart","Job ID":0,"Submission Time":1784024737996,"Stage Infos":[{"Stage ID":0,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":9,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"0\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[8],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":8,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"4\",\"name\":\"WholeStageCodegen (1)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[4],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off 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-Djdk.reflect.useDirectMethodHandle=false","spark.sql.execution.root.id":"0","spark.hadoop.fs.s3a.connection.ssl.enabled":"false","spark.serializer.objectStreamReset":"100","spark.driver.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[414,200]]}
{"Event":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":0,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":9,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"0\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[8],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":8,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"4\",\"name\":\"WholeStageCodegen (1)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[4],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of 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Count":0},"Properties":{"spark.driver.port":"34699","spark.submit.pyFiles":"","spark.app.startTime":"1784024727259","spark.rdd.scope":"{\"id\":\"0\",\"name\":\"BroadcastExchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.hadoop.fs.s3a.impl":"org.apache.hadoop.fs.s3a.S3AFileSystem","spark.app.submitTime":"1784024726040","spark.eventLog.dir":"file:/opt/spark-events","spark.hadoop.fs.s3a.aws.credentials.provider":"org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider","spark.sql.execution.id":"0","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.hadoop.fs.s3a.secret.key":"*********(redacted)","spark.executor.id":"driver","spark.app.name":"dm_lesson_popularity_ranking","spark.hadoop.fs.s3a.access.key":"*********(redacted)","spark.submit.deployMode":"client","spark.hadoop.fs.s3a.path.style.access":"true","spark.driver.host":"73850a3d530b","spark.app.id":"app-20260714142528-0076","spark.eventLog.compress":"true","spark.eventLog.enabled":"true","spark.job.tags":"broadcast 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-Djdk.reflect.useDirectMethodHandle=false","spark.sql.execution.root.id":"0","spark.hadoop.fs.s3a.connection.ssl.enabled":"false","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":"SparkListenerJobStart","Job ID":1,"Submission Time":1784024738173,"Stage Infos":[{"Stage ID":1,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":7,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"1\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[6],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":6,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"3\",\"name\":\"WholeStageCodegen (2)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[5],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off 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Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[],"Details":"org.apache.spark.sql.execution.SQLExecution$.$anonfun$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)","Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}],"Stage IDs":[1],"Properties":{"spark.driver.port":"34699","spark.submit.pyFiles":"","spark.app.startTime":"1784024727259","spark.rdd.scope":"{\"id\":\"1\",\"name\":\"BroadcastExchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.hadoop.fs.s3a.impl":"org.apache.hadoop.fs.s3a.S3AFileSystem","spark.app.submitTime":"1784024726040","spark.eventLog.dir":"file:/opt/spark-events","spark.hadoop.fs.s3a.aws.credentials.provider":"org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider","spark.sql.execution.id":"0","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.hadoop.fs.s3a.secret.key":"*********(redacted)","spark.executor.id":"driver","spark.app.name":"dm_lesson_popularity_ranking","spark.hadoop.fs.s3a.access.key":"*********(redacted)","spark.submit.deployMode":"client","spark.hadoop.fs.s3a.path.style.access":"true","spark.driver.host":"73850a3d530b","spark.app.id":"app-20260714142528-0076","spark.eventLog.compress":"true","spark.eventLog.enabled":"true","spark.job.tags":"broadcast 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-Djdk.reflect.useDirectMethodHandle=false","spark.sql.execution.root.id":"0","spark.hadoop.fs.s3a.connection.ssl.enabled":"false","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":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":1,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":7,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"1\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[6],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":6,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"3\",\"name\":\"WholeStageCodegen (2)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[5],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of 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Count":0},"Properties":{"spark.driver.port":"34699","spark.submit.pyFiles":"","spark.app.startTime":"1784024727259","spark.rdd.scope":"{\"id\":\"1\",\"name\":\"BroadcastExchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.hadoop.fs.s3a.impl":"org.apache.hadoop.fs.s3a.S3AFileSystem","spark.app.submitTime":"1784024726040","spark.eventLog.dir":"file:/opt/spark-events","spark.hadoop.fs.s3a.aws.credentials.provider":"org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider","spark.sql.execution.id":"0","spark.sql.warehouse.dir":"file:/opt/airflow/spark-warehouse","spark.rdd.scope.noOverride":"true","spark.master":"spark://spark-master:7077","spark.job.interruptOnCancel":"true","spark.hadoop.fs.s3a.secret.key":"*********(redacted)","spark.executor.id":"driver","spark.app.name":"dm_lesson_popularity_ranking","spark.hadoop.fs.s3a.access.key":"*********(redacted)","spark.submit.deployMode":"client","spark.hadoop.fs.s3a.path.style.access":"true","spark.driver.host":"73850a3d530b","spark.app.id":"app-20260714142528-0076","spark.eventLog.compress":"true","spark.eventLog.enabled":"true","spark.job.tags":"broadcast 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{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":0,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":9,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"0\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[8],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":8,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"4\",\"name\":\"WholeStageCodegen (1)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[4],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":2,"Name":"FileScanRDD","Scope":"{\"id\":\"14\",\"name\":\"Scan csv \"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":4,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"14\",\"name\":\"Scan csv \"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[2],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[],"Details":"org.apache.spark.sql.execution.SQLExecution$.$anonfun$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":1784024738050,"Completion Time":1784024741829,"Accumulables":[{"ID":140,"Name":"number of output rows","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":359,"Name":"duration","Value":"1379","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":360,"Name":"number of output rows","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":443,"Name":"internal.metrics.executorDeserializeTime","Value":1215,"Internal":true,"Count Failed Values":true},{"ID":444,"Name":"internal.metrics.executorDeserializeCpuTime","Value":292851254,"Internal":true,"Count Failed Values":true},{"ID":445,"Name":"internal.metrics.executorRunTime","Value":2323,"Internal":true,"Count Failed Values":true},{"ID":446,"Name":"internal.metrics.executorCpuTime","Value":431506116,"Internal":true,"Count Failed Values":true},{"ID":447,"Name":"internal.metrics.resultSize","Value":2353,"Internal":true,"Count Failed Values":true},{"ID":448,"Name":"internal.metrics.jvmGCTime","Value":22,"Internal":true,"Count Failed Values":true},{"ID":449,"Name":"internal.metrics.resultSerializationTime","Value":2,"Internal":true,"Count Failed Values":true},{"ID":474,"Name":"internal.metrics.input.bytesRead","Value":1850,"Internal":true,"Count Failed Values":true},{"ID":475,"Name":"internal.metrics.input.recordsRead","Value":58,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":0,"Completion Time":1784024741830,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"SparkListenerTaskEnd","Stage ID":2,"Stage Attempt ID":0,"Task Type":"ShuffleMapTask","Task End Reason":{"Reason":"Success"},"Task Info":{"Task ID":2,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1784024738560,"Executor ID":"0","Host":"172.28.0.49","Locality":"PROCESS_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":1784024741848,"Failed":false,"Killed":false,"Accumulables":[{"ID":228,"Name":"number of output rows","Update":"45","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":413,"Name":"data size","Update":"1080","Value":"1080","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":432,"Name":"shuffle bytes written","Update":"2677","Value":"2677","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":433,"Name":"shuffle records written","Update":"45","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":434,"Name":"shuffle write time","Update":"21013000","Value":"21013000","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":435,"Name":"duration","Update":"1341","Value":"1341","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":436,"Name":"number of output rows","Update":"45","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":437,"Name":"peak memory","Update":"262144","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":439,"Name":"time in aggregation build","Update":"1103","Value":"1103","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":442,"Name":"number of output rows","Update":"45","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":513,"Name":"internal.metrics.executorDeserializeTime","Update":1052,"Value":1052,"Internal":true,"Count Failed Values":true},{"ID":514,"Name":"internal.metrics.executorDeserializeCpuTime","Update":241163465,"Value":241163465,"Internal":true,"Count Failed Values":true},{"ID":515,"Name":"internal.metrics.executorRunTime","Update":2195,"Value":2195,"Internal":true,"Count Failed Values":true},{"ID":516,"Name":"internal.metrics.executorCpuTime","Update":516453741,"Value":516453741,"Internal":true,"Count Failed Values":true},{"ID":517,"Name":"internal.metrics.resultSize","Update":2858,"Value":2858,"Internal":true,"Count Failed Values":true},{"ID":518,"Name":"internal.metrics.jvmGCTime","Update":22,"Value":22,"Internal":true,"Count Failed Values":true},{"ID":519,"Name":"internal.metrics.resultSerializationTime","Update":1,"Value":1,"Internal":true,"Count Failed Values":true},{"ID":522,"Name":"internal.metrics.peakExecutionMemory","Update":262144,"Value":262144,"Internal":true,"Count Failed Values":true},{"ID":541,"Name":"internal.metrics.shuffle.write.bytesWritten","Update":2677,"Value":2677,"Internal":true,"Count Failed Values":true},{"ID":542,"Name":"internal.metrics.shuffle.write.recordsWritten","Update":45,"Value":45,"Internal":true,"Count Failed Values":true},{"ID":543,"Name":"internal.metrics.shuffle.write.writeTime","Update":21013000,"Value":21013000,"Internal":true,"Count Failed Values":true},{"ID":544,"Name":"internal.metrics.input.bytesRead","Update":1442,"Value":1442,"Internal":true,"Count Failed Values":true},{"ID":545,"Name":"internal.metrics.input.recordsRead","Update":45,"Value":45,"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":1052,"Executor Deserialize CPU Time":241163465,"Executor Run Time":2195,"Executor CPU Time":516453741,"Peak Execution Memory":262144,"Result Size":2858,"JVM GC Time":22,"Result Serialization Time":1,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":0,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":0,"Total Records Read":0,"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":2677,"Shuffle Write Time":21013000,"Shuffle Records Written":45},"Input Metrics":{"Bytes Read":1442,"Records Read":45},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":2,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":11,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"2\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[10],"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":10,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"5\",\"name\":\"WholeStageCodegen (3)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[3],"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":3,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"15\",\"name\":\"Scan csv \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[0],"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":0,"Name":"FileScanRDD","Scope":"{\"id\":\"15\",\"name\":\"Scan csv \"}","Callsite":"parquet 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.DataFrameWriter.parquet(DataFrameWriter.scala:792)\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":1784024738299,"Completion Time":1784024741856,"Accumulables":[{"ID":228,"Name":"number of output rows","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":413,"Name":"data size","Value":"1080","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":432,"Name":"shuffle bytes written","Value":"2677","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":433,"Name":"shuffle records written","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":434,"Name":"shuffle write time","Value":"21013000","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":435,"Name":"duration","Value":"1341","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":436,"Name":"number of output rows","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":437,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":439,"Name":"time in aggregation build","Value":"1103","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":442,"Name":"number of output rows","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":513,"Name":"internal.metrics.executorDeserializeTime","Value":1052,"Internal":true,"Count Failed Values":true},{"ID":514,"Name":"internal.metrics.executorDeserializeCpuTime","Value":241163465,"Internal":true,"Count Failed Values":true},{"ID":515,"Name":"internal.metrics.executorRunTime","Value":2195,"Internal":true,"Count Failed Values":true},{"ID":516,"Name":"internal.metrics.executorCpuTime","Value":516453741,"Internal":true,"Count Failed Values":true},{"ID":517,"Name":"internal.metrics.resultSize","Value":2858,"Internal":true,"Count Failed Values":true},{"ID":518,"Name":"internal.metrics.jvmGCTime","Value":22,"Internal":true,"Count Failed Values":true},{"ID":519,"Name":"internal.metrics.resultSerializationTime","Value":1,"Internal":true,"Count Failed Values":true},{"ID":522,"Name":"internal.metrics.peakExecutionMemory","Value":262144,"Internal":true,"Count Failed Values":true},{"ID":541,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":2677,"Internal":true,"Count Failed Values":true},{"ID":542,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":45,"Internal":true,"Count Failed Values":true},{"ID":543,"Name":"internal.metrics.shuffle.write.writeTime","Value":21013000,"Internal":true,"Count Failed Values":true},{"ID":544,"Name":"internal.metrics.input.bytesRead","Value":1442,"Internal":true,"Count Failed Values":true},{"ID":545,"Name":"internal.metrics.input.recordsRead","Value":45,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[365,8],[364,26],[363,4926],[362,5],[361,1048616]]}
{"Event":"SparkListenerJobEnd","Job ID":2,"Completion Time":1784024741867,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[358,14],[357,23],[356,4935],[355,58],[354,1048704]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (79)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (43)\n   +- WriteFiles (42)\n      +- Sort (41)\n         +- Exchange (40)\n            +- Project (39)\n               +- Window (38)\n                  +- Sort (37)\n                     +- Exchange (36)\n                        +- Project (35)\n                           +- BroadcastHashJoin LeftOuter BuildRight (34)\n                              :- Project (21)\n                              :  +- BroadcastHashJoin Inner BuildRight (20)\n                              :     :- Project (15)\n                              :     :  +- HashAggregate (14)\n                              :     :     +- Exchange (13)\n                              :     :        +- HashAggregate (12)\n                              :     :           +- HashAggregate (11)\n                              :     :              +- Exchange (10)\n                              :     :                 +- HashAggregate (9)\n                              :     :                    +- Project (8)\n                              :     :                       +- BroadcastHashJoin LeftOuter BuildRight (7)\n                              :     :                          :- Filter (2)\n                              :     :                          :  +- Scan csv  (1)\n                              :     :                          +- BroadcastQueryStage (6)\n                              :     :                             +- BroadcastExchange (5)\n                              :     :                                +- * Filter (4)\n                              :     :                                   +- Scan csv  (3)\n                              :     +- BroadcastQueryStage (19), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                              :        +- BroadcastExchange (18)\n                              :           +- * Filter (17)\n                              :              +- Scan csv  (16)\n                              +- BroadcastExchange (33)\n                                 +- HashAggregate (32)\n                                    +- ShuffleQueryStage (31)\n                                       +- Exchange (30)\n                                          +- * HashAggregate (29)\n                                             +- * HashAggregate (28)\n                                                +- AQEShuffleRead (27)\n                                                   +- ShuffleQueryStage (26), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                                                      +- Exchange (25)\n                                                         +- * HashAggregate (24)\n                                                            +- * Filter (23)\n                                                               +- Scan csv  (22)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (78)\n   +- WriteFiles (77)\n      +- Sort (76)\n         +- Exchange (75)\n            +- Project (74)\n               +- Window (73)\n                  +- Sort (72)\n                     +- Exchange (71)\n                        +- Project (70)\n                           +- BroadcastHashJoin LeftOuter BuildRight (69)\n                              :- Project (60)\n                              :  +- BroadcastHashJoin Inner BuildRight (59)\n                              :     :- Project (56)\n                              :     :  +- HashAggregate (55)\n                              :     :     +- Exchange (54)\n                              :     :        +- HashAggregate (53)\n                              :     :           +- HashAggregate (52)\n                              :     :              +- Exchange (51)\n                              :     :                 +- HashAggregate (50)\n                              :     :                    +- Project (49)\n                              :     :                       +- BroadcastHashJoin LeftOuter BuildRight (48)\n                              :     :                          :- Filter (45)\n                              :     :                          :  +- Scan csv  (44)\n                              :     :                          +- BroadcastExchange (47)\n                              :     :                             +- Filter (46)\n                              :     :                                +- Scan csv  (3)\n                              :     +- BroadcastExchange (58)\n                              :        +- Filter (57)\n                              :           +- Scan csv  (16)\n                              +- BroadcastExchange (68)\n                                 +- HashAggregate (67)\n                                    +- Exchange (66)\n                                       +- HashAggregate (65)\n                                          +- HashAggregate (64)\n                                             +- Exchange (63)\n                                                +- HashAggregate (62)\n                                                   +- Filter (61)\n                                                      +- Scan csv  (22)\n\n\n(1) Scan csv \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(3) Scan csv \nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(4) Filter [codegen id : 1]\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(5) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=228]\n\n(6) BroadcastQueryStage\nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: 0\n\n(7) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(8) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(9) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(10) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=356]\n\n(11) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(12) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(13) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=360]\n\n(14) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(15) Project\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(16) Scan csv \nOutput [2]: [id#24L, title#25]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.csv]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(17) Filter [codegen id : 2]\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(18) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=247]\n\n(19) BroadcastQueryStage\nOutput [2]: [id#24L, title#25]\nArguments: 1\n\n(20) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(21) Project\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(22) Scan csv \nOutput [2]: [user_id#17L, course_id#18L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(23) Filter [codegen id : 3]\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(24) HashAggregate [codegen id : 3]\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(25) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=260]\n\n(26) ShuffleQueryStage\nOutput [2]: [course_id#18L, user_id#17L]\nArguments: 2\n\n(27) AQEShuffleRead\nInput [2]: [course_id#18L, user_id#17L]\nArguments: coalesced\n\n(28) HashAggregate [codegen id : 4]\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(29) HashAggregate [codegen id : 4]\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(30) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=435]\n\n(31) ShuffleQueryStage\nOutput [2]: [course_id#18L, count#166L]\nArguments: 3\n\n(32) HashAggregate\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(33) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=447]\n\n(34) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(35) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(36) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=450]\n\n(37) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(38) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(39) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(40) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=454]\n\n(41) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(42) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\n\n(43) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(44) Scan csv \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(45) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(46) Filter\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(47) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(48) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(49) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(50) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(51) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(52) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(53) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(54) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(55) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(56) Project\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(57) Filter\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(58) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(59) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(60) Project\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(61) Filter\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(62) HashAggregate\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(63) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(64) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(65) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(66) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(67) HashAggregate\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(68) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(69) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(70) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(71) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=153]\n\n(72) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(73) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(74) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(75) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=158]\n\n(76) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(77) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\n\n(78) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(79) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [popularity_rank#140 ASC NULLS FIRST], true, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, 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{"Event":"SparkListenerJobStart","Job ID":3,"Submission Time":1784024742075,"Stage Infos":[{"Stage ID":3,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":11,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"2\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[10],"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":10,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"5\",\"name\":\"WholeStageCodegen (3)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[3],"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":3,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"15\",\"name\":\"Scan csv \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[0],"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":0,"Name":"FileScanRDD","Scope":"{\"id\":\"15\",\"name\":\"Scan csv \"}","Callsite":"parquet 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.DataFrameWriter.parquet(DataFrameWriter.scala:792)\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)","Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0},{"Stage ID":4,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":14,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"24\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[13],"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":13,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"25\",\"name\":\"WholeStageCodegen (4)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[12],"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":12,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"29\",\"name\":\"AQEShuffleRead\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[11],"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":[3],"Details":"org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:792)\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)","Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}],"Stage IDs":[3,4],"Properties":{"spark.driver.port":"34699","spark.submit.pyFiles":"","spark.app.startTime":"1784024727259","spark.rdd.scope":"{\"id\":\"24\",\"name\":\"Exchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.hadoop.fs.s3a.impl":"org.apache.hadoop.fs.s3a.S3AFileSystem","spark.app.submitTime":"1784024726040","spark.eventLog.dir":"file:/opt/spark-events","spark.hadoop.fs.s3a.aws.credentials.provider":"org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider","spark.sql.execution.id":"0","spark.sql.warehouse.dir":"file:/opt/airflow/spark-warehouse","spark.rdd.scope.noOverride":"true","spark.master":"spark://spark-master:7077","spark.hadoop.fs.s3a.secret.key":"*********(redacted)","spark.executor.id":"driver","spark.app.name":"dm_lesson_popularity_ranking","spark.hadoop.fs.s3a.access.key":"*********(redacted)","spark.submit.deployMode":"client","spark.hadoop.fs.s3a.path.style.access":"true","spark.driver.host":"73850a3d530b","spark.app.id":"app-20260714142528-0076","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.sql.execution.root.id":"0","spark.hadoop.fs.s3a.connection.ssl.enabled":"false","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":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":4,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":14,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"24\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[13],"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":13,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"25\",\"name\":\"WholeStageCodegen (4)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[12],"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":12,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"29\",\"name\":\"AQEShuffleRead\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[11],"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":[3],"Details":"org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:792)\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":1784024742084,"Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0},"Properties":{"spark.driver.port":"34699","spark.submit.pyFiles":"","spark.app.startTime":"1784024727259","spark.rdd.scope":"{\"id\":\"24\",\"name\":\"Exchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.hadoop.fs.s3a.impl":"org.apache.hadoop.fs.s3a.S3AFileSystem","spark.app.submitTime":"1784024726040","spark.eventLog.dir":"file:/opt/spark-events","spark.hadoop.fs.s3a.aws.credentials.provider":"org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider","spark.sql.execution.id":"0","spark.sql.warehouse.dir":"file:/opt/airflow/spark-warehouse","spark.rdd.scope.noOverride":"true","spark.master":"spark://spark-master:7077","spark.hadoop.fs.s3a.secret.key":"*********(redacted)","spark.executor.id":"driver","spark.app.name":"dm_lesson_popularity_ranking","spark.hadoop.fs.s3a.access.key":"*********(redacted)","spark.submit.deployMode":"client","spark.hadoop.fs.s3a.path.style.access":"true","spark.driver.host":"73850a3d530b","spark.app.id":"app-20260714142528-0076","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.sql.execution.root.id":"0","spark.hadoop.fs.s3a.connection.ssl.enabled":"false","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":4,"Stage Attempt ID":0,"Task Info":{"Task ID":3,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1784024742100,"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":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (80)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (44)\n   +- WriteFiles (43)\n      +- Sort (42)\n         +- Exchange (41)\n            +- Project (40)\n               +- Window (39)\n                  +- Sort (38)\n                     +- Exchange (37)\n                        +- Project (36)\n                           +- BroadcastHashJoin LeftOuter BuildRight (35)\n                              :- Project (22)\n                              :  +- BroadcastHashJoin Inner BuildRight (21)\n                              :     :- Project (16)\n                              :     :  +- HashAggregate (15)\n                              :     :     +- Exchange (14)\n                              :     :        +- HashAggregate (13)\n                              :     :           +- HashAggregate (12)\n                              :     :              +- ShuffleQueryStage (11)\n                              :     :                 +- Exchange (10)\n                              :     :                    +- * HashAggregate (9)\n                              :     :                       +- * Project (8)\n                              :     :                          +- * BroadcastHashJoin LeftOuter BuildRight (7)\n                              :     :                             :- * Filter (2)\n                              :     :                             :  +- Scan csv  (1)\n                              :     :                             +- BroadcastQueryStage (6), Statistics(sizeInBytes=1024.1 KiB, rowCount=58)\n                              :     :                                +- BroadcastExchange (5)\n                              :     :                                   +- * Filter (4)\n                              :     :                                      +- Scan csv  (3)\n                              :     +- BroadcastQueryStage (20), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                              :        +- BroadcastExchange (19)\n                              :           +- * Filter (18)\n                              :              +- Scan csv  (17)\n                              +- BroadcastExchange (34)\n                                 +- HashAggregate (33)\n                                    +- ShuffleQueryStage (32)\n                                       +- Exchange (31)\n                                          +- * HashAggregate (30)\n                                             +- * HashAggregate (29)\n                                                +- AQEShuffleRead (28)\n                                                   +- ShuffleQueryStage (27), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                                                      +- Exchange (26)\n                                                         +- * HashAggregate (25)\n                                                            +- * Filter (24)\n                                                               +- Scan csv  (23)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (79)\n   +- WriteFiles (78)\n      +- Sort (77)\n         +- Exchange (76)\n            +- Project (75)\n               +- Window (74)\n                  +- Sort (73)\n                     +- Exchange (72)\n                        +- Project (71)\n                           +- BroadcastHashJoin LeftOuter BuildRight (70)\n                              :- Project (61)\n                              :  +- BroadcastHashJoin Inner BuildRight (60)\n                              :     :- Project (57)\n                              :     :  +- HashAggregate (56)\n                              :     :     +- Exchange (55)\n                              :     :        +- HashAggregate (54)\n                              :     :           +- HashAggregate (53)\n                              :     :              +- Exchange (52)\n                              :     :                 +- HashAggregate (51)\n                              :     :                    +- Project (50)\n                              :     :                       +- BroadcastHashJoin LeftOuter BuildRight (49)\n                              :     :                          :- Filter (46)\n                              :     :                          :  +- Scan csv  (45)\n                              :     :                          +- BroadcastExchange (48)\n                              :     :                             +- Filter (47)\n                              :     :                                +- Scan csv  (3)\n                              :     +- BroadcastExchange (59)\n                              :        +- Filter (58)\n                              :           +- Scan csv  (17)\n                              +- BroadcastExchange (69)\n                                 +- HashAggregate (68)\n                                    +- Exchange (67)\n                                       +- HashAggregate (66)\n                                          +- HashAggregate (65)\n                                             +- Exchange (64)\n                                                +- HashAggregate (63)\n                                                   +- Filter (62)\n                                                      +- Scan csv  (23)\n\n\n(1) Scan csv \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) Filter [codegen id : 5]\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(3) Scan csv \nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(4) Filter [codegen id : 1]\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(5) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=228]\n\n(6) BroadcastQueryStage\nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: 0\n\n(7) BroadcastHashJoin [codegen id : 5]\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(8) Project [codegen id : 5]\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(9) HashAggregate [codegen id : 5]\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(10) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=601]\n\n(11) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: 4\n\n(12) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(13) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(14) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=618]\n\n(15) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(16) Project\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(17) Scan csv \nOutput [2]: [id#24L, title#25]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.csv]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(18) Filter [codegen id : 2]\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(19) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=247]\n\n(20) BroadcastQueryStage\nOutput [2]: [id#24L, title#25]\nArguments: 1\n\n(21) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(22) Project\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(23) Scan csv \nOutput [2]: [user_id#17L, course_id#18L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(24) Filter [codegen id : 3]\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(25) HashAggregate [codegen id : 3]\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(26) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=260]\n\n(27) ShuffleQueryStage\nOutput [2]: [course_id#18L, user_id#17L]\nArguments: 2\n\n(28) AQEShuffleRead\nInput [2]: [course_id#18L, user_id#17L]\nArguments: coalesced\n\n(29) HashAggregate [codegen id : 4]\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(30) HashAggregate [codegen id : 4]\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(31) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=435]\n\n(32) ShuffleQueryStage\nOutput [2]: [course_id#18L, count#166L]\nArguments: 3\n\n(33) HashAggregate\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(34) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=539]\n\n(35) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(36) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(37) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=625]\n\n(38) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(39) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(40) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(41) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=629]\n\n(42) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(43) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\n\n(44) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(45) Scan csv \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(46) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(47) Filter\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(48) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(49) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(50) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(51) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(52) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(53) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(54) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(55) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(56) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(57) Project\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(58) Filter\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(59) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(60) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(61) Project\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(62) Filter\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(63) HashAggregate\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(64) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(65) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(66) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(67) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(68) HashAggregate\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(69) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(70) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(71) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(72) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=153]\n\n(73) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(74) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(75) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(76) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=158]\n\n(77) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(78) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\n\n(79) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(80) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [popularity_rank#140 ASC NULLS FIRST], true, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=629]","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]","children":[{"nodeName":"Window","simpleString":"Window [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=625]","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#1L], [course_id#18L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#1L], [id#24L], Inner, BuildRight, 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Values":true},{"ID":747,"Name":"internal.metrics.shuffle.read.recordsRead","Value":45,"Internal":true,"Count Failed Values":true},{"ID":748,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":749,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":750,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":751,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":752,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":753,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":754,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":755,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":756,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":757,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":758,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":315,"Internal":true,"Count Failed Values":true},{"ID":759,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":5,"Internal":true,"Count Failed Values":true},{"ID":760,"Name":"internal.metrics.shuffle.write.writeTime","Value":5420541,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":3,"Completion Time":1784024742450,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"SparkListenerTaskEnd","Stage ID":5,"Stage Attempt ID":0,"Task Type":"ShuffleMapTask","Task End Reason":{"Reason":"Success"},"Task Info":{"Task ID":4,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1784024742230,"Executor ID":"0","Host":"172.28.0.49","Locality":"PROCESS_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":1784024742472,"Failed":false,"Killed":false,"Accumulables":[{"ID":864,"Name":"data size","Update":"4128","Value":"4128","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":883,"Name":"shuffle bytes written","Update":"5348","Value":"5348","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":884,"Name":"shuffle records written","Update":"58","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":885,"Name":"shuffle write time","Update":"8128925","Value":"8128925","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":886,"Name":"duration","Update":"122","Value":"122","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":887,"Name":"number of output rows","Update":"58","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":888,"Name":"peak memory","Update":"4456432","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":890,"Name":"time in aggregation build","Update":"47","Value":"47","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":891,"Name":"avg hash probes per key","Update":"10","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":893,"Name":"number of output rows","Update":"61","Value":"61","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":894,"Name":"number of output rows","Update":"18","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":895,"Name":"number of output rows","Update":"18","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":904,"Name":"internal.metrics.executorDeserializeTime","Update":49,"Value":49,"Internal":true,"Count Failed Values":true},{"ID":905,"Name":"internal.metrics.executorDeserializeCpuTime","Update":32527813,"Value":32527813,"Internal":true,"Count Failed Values":true},{"ID":906,"Name":"internal.metrics.executorRunTime","Update":179,"Value":179,"Internal":true,"Count Failed Values":true},{"ID":907,"Name":"internal.metrics.executorCpuTime","Update":152019719,"Value":152019719,"Internal":true,"Count Failed Values":true},{"ID":908,"Name":"internal.metrics.resultSize","Update":3501,"Value":3501,"Internal":true,"Count Failed Values":true},{"ID":913,"Name":"internal.metrics.peakExecutionMemory","Update":4458880,"Value":4458880,"Internal":true,"Count Failed Values":true},{"ID":932,"Name":"internal.metrics.shuffle.write.bytesWritten","Update":5348,"Value":5348,"Internal":true,"Count Failed Values":true},{"ID":933,"Name":"internal.metrics.shuffle.write.recordsWritten","Update":58,"Value":58,"Internal":true,"Count Failed Values":true},{"ID":934,"Name":"internal.metrics.shuffle.write.writeTime","Update":8128925,"Value":8128925,"Internal":true,"Count Failed Values":true},{"ID":935,"Name":"internal.metrics.input.bytesRead","Update":1057,"Value":1057,"Internal":true,"Count Failed Values":true},{"ID":936,"Name":"internal.metrics.input.recordsRead","Update":18,"Value":18,"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":49,"Executor Deserialize CPU Time":32527813,"Executor Run Time":179,"Executor CPU Time":152019719,"Peak Execution Memory":4458880,"Result Size":3501,"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":0,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":0,"Total Records Read":0,"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":5348,"Shuffle Write Time":8128925,"Shuffle Records Written":58},"Input Metrics":{"Bytes Read":1057,"Records Read":18},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":5,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":18,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"30\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[17],"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":16,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"39\",\"name\":\"Scan csv \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[15],"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":15,"Name":"FileScanRDD","Scope":"{\"id\":\"39\",\"name\":\"Scan csv \"}","Callsite":"parquet 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":17,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"31\",\"name\":\"WholeStageCodegen (5)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[16],"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.DataFrameWriter.parquet(DataFrameWriter.scala:792)\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":1784024742213,"Completion Time":1784024742475,"Accumulables":[{"ID":864,"Name":"data size","Value":"4128","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":883,"Name":"shuffle bytes written","Value":"5348","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":884,"Name":"shuffle records written","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":885,"Name":"shuffle write time","Value":"8128925","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":886,"Name":"duration","Value":"122","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":887,"Name":"number of output rows","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":888,"Name":"peak memory","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":890,"Name":"time in aggregation build","Value":"47","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":891,"Name":"avg hash probes per key","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":893,"Name":"number of output rows","Value":"61","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":894,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":895,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":904,"Name":"internal.metrics.executorDeserializeTime","Value":49,"Internal":true,"Count Failed Values":true},{"ID":905,"Name":"internal.metrics.executorDeserializeCpuTime","Value":32527813,"Internal":true,"Count Failed Values":true},{"ID":906,"Name":"internal.metrics.executorRunTime","Value":179,"Internal":true,"Count Failed Values":true},{"ID":907,"Name":"internal.metrics.executorCpuTime","Value":152019719,"Internal":true,"Count Failed Values":true},{"ID":908,"Name":"internal.metrics.resultSize","Value":3501,"Internal":true,"Count Failed Values":true},{"ID":913,"Name":"internal.metrics.peakExecutionMemory","Value":4458880,"Internal":true,"Count Failed Values":true},{"ID":932,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":5348,"Internal":true,"Count Failed Values":true},{"ID":933,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":58,"Internal":true,"Count Failed Values":true},{"ID":934,"Name":"internal.metrics.shuffle.write.writeTime","Value":8128925,"Internal":true,"Count Failed Values":true},{"ID":935,"Name":"internal.metrics.input.bytesRead","Value":1057,"Internal":true,"Count Failed Values":true},{"ID":936,"Name":"internal.metrics.input.recordsRead","Value":18,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":4,"Completion Time":1784024742482,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (82)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (46)\n   +- WriteFiles (45)\n      +- Sort (44)\n         +- Exchange (43)\n            +- Project (42)\n               +- Window (41)\n                  +- Sort (40)\n                     +- Exchange (39)\n                        +- Project (38)\n                           +- BroadcastHashJoin LeftOuter BuildRight (37)\n                              :- Project (22)\n                              :  +- BroadcastHashJoin Inner BuildRight (21)\n                              :     :- Project (16)\n                              :     :  +- HashAggregate (15)\n                              :     :     +- Exchange (14)\n                              :     :        +- HashAggregate (13)\n                              :     :           +- HashAggregate (12)\n                              :     :              +- ShuffleQueryStage (11)\n                              :     :                 +- Exchange (10)\n                              :     :                    +- * HashAggregate (9)\n                              :     :                       +- * Project (8)\n                              :     :                          +- * BroadcastHashJoin LeftOuter BuildRight (7)\n                              :     :                             :- * Filter (2)\n                              :     :                             :  +- Scan csv  (1)\n                              :     :                             +- BroadcastQueryStage (6), Statistics(sizeInBytes=1024.1 KiB, rowCount=58)\n                              :     :                                +- BroadcastExchange (5)\n                              :     :                                   +- * Filter (4)\n                              :     :                                      +- Scan csv  (3)\n                              :     +- BroadcastQueryStage (20), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                              :        +- BroadcastExchange (19)\n                              :           +- * Filter (18)\n                              :              +- Scan csv  (17)\n                              +- BroadcastQueryStage (36)\n                                 +- BroadcastExchange (35)\n                                    +- * HashAggregate (34)\n                                       +- AQEShuffleRead (33)\n                                          +- ShuffleQueryStage (32), Statistics(sizeInBytes=120.0 B, rowCount=5)\n                                             +- Exchange (31)\n                                                +- * HashAggregate (30)\n                                                   +- * HashAggregate (29)\n                                                      +- AQEShuffleRead (28)\n                                                         +- ShuffleQueryStage (27), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                                                            +- Exchange (26)\n                                                               +- * HashAggregate (25)\n                                                                  +- * Filter (24)\n                                                                     +- Scan csv  (23)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (81)\n   +- WriteFiles (80)\n      +- Sort (79)\n         +- Exchange (78)\n            +- Project (77)\n               +- Window (76)\n                  +- Sort (75)\n                     +- Exchange (74)\n                        +- Project (73)\n                           +- BroadcastHashJoin LeftOuter BuildRight (72)\n                              :- Project (63)\n                              :  +- BroadcastHashJoin Inner BuildRight (62)\n                              :     :- Project (59)\n                              :     :  +- HashAggregate (58)\n                              :     :     +- Exchange (57)\n                              :     :        +- HashAggregate (56)\n                              :     :           +- HashAggregate (55)\n                              :     :              +- Exchange (54)\n                              :     :                 +- HashAggregate (53)\n                              :     :                    +- Project (52)\n                              :     :                       +- BroadcastHashJoin LeftOuter BuildRight (51)\n                              :     :                          :- Filter (48)\n                              :     :                          :  +- Scan csv  (47)\n                              :     :                          +- BroadcastExchange (50)\n                              :     :                             +- Filter (49)\n                              :     :                                +- Scan csv  (3)\n                              :     +- BroadcastExchange (61)\n                              :        +- Filter (60)\n                              :           +- Scan csv  (17)\n                              +- BroadcastExchange (71)\n                                 +- HashAggregate (70)\n                                    +- Exchange (69)\n                                       +- HashAggregate (68)\n                                          +- HashAggregate (67)\n                                             +- Exchange (66)\n                                                +- HashAggregate (65)\n                                                   +- Filter (64)\n                                                      +- Scan csv  (23)\n\n\n(1) Scan csv \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) Filter [codegen id : 5]\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(3) Scan csv \nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(4) Filter [codegen id : 1]\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(5) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=228]\n\n(6) BroadcastQueryStage\nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: 0\n\n(7) BroadcastHashJoin [codegen id : 5]\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(8) Project [codegen id : 5]\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(9) HashAggregate [codegen id : 5]\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(10) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=601]\n\n(11) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: 4\n\n(12) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(13) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(14) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=618]\n\n(15) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(16) Project\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(17) Scan csv \nOutput [2]: [id#24L, title#25]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.csv]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(18) Filter [codegen id : 2]\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(19) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=247]\n\n(20) BroadcastQueryStage\nOutput [2]: [id#24L, title#25]\nArguments: 1\n\n(21) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(22) Project\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(23) Scan csv \nOutput [2]: [user_id#17L, course_id#18L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(24) Filter [codegen id : 3]\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(25) HashAggregate [codegen id : 3]\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(26) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=260]\n\n(27) ShuffleQueryStage\nOutput [2]: [course_id#18L, user_id#17L]\nArguments: 2\n\n(28) AQEShuffleRead\nInput [2]: [course_id#18L, user_id#17L]\nArguments: coalesced\n\n(29) HashAggregate [codegen id : 4]\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(30) HashAggregate [codegen id : 4]\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(31) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=435]\n\n(32) ShuffleQueryStage\nOutput [2]: [course_id#18L, count#166L]\nArguments: 3\n\n(33) AQEShuffleRead\nInput [2]: [course_id#18L, count#166L]\nArguments: coalesced\n\n(34) HashAggregate [codegen id : 6]\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(35) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=716]\n\n(36) BroadcastQueryStage\nOutput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: 5\n\n(37) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(38) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(39) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=726]\n\n(40) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(41) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(42) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(43) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=730]\n\n(44) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(45) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\n\n(46) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(47) Scan csv \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(48) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(49) Filter\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(50) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(51) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(52) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(53) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(54) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(55) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(56) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(57) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(58) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(59) Project\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(60) Filter\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(61) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(62) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(63) Project\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(64) Filter\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(65) HashAggregate\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(66) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(67) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(68) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(69) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(70) HashAggregate\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(71) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(72) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(73) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(74) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=153]\n\n(75) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(76) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(77) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(78) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=158]\n\n(79) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(80) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\n\n(81) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(82) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [popularity_rank#140 ASC NULLS FIRST], true, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=730]","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]","children":[{"nodeName":"Window","simpleString":"Window [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=726]","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#1L], [course_id#18L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#1L], [id#24L], Inner, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L], functions=[count(id#8L), count(distinct user_id#9L)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=618]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L], functions=[merge_count(id#8L), partial_count(distinct user_id#9L)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L, user_id#9L], functions=[merge_count(id#8L)])","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 4","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=601]","children":[{"nodeName":"WholeStageCodegen (5)","simpleString":"WholeStageCodegen (5)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L, user_id#9L], functions=[partial_count(id#8L)])","children":[{"nodeName":"Project","simpleString":"Project [id#0L, course_id#1L, title#2, id#8L, user_id#9L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#0L], [lesson_id#10L], LeftOuter, BuildRight, false","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#1L)","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [id#0L,course_id#1L,title#2] Batched: false, DataFilters: [isnotnull(course_id#1L)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.csv], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<id:bigint,course_id:bigint,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.csv]","ReadSchema":"struct<id:bigint,course_id:bigint,title:string>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#1L)]"},"metrics":[{"name":"number of output rows","accumulatorId":895,"metricType":"sum"},{"name":"number of files 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(76)\n                        +- Project (75)\n                           +- BroadcastHashJoin LeftOuter BuildRight (74)\n                              :- Project (65)\n                              :  +- BroadcastHashJoin Inner BuildRight (64)\n                              :     :- Project (61)\n                              :     :  +- HashAggregate (60)\n                              :     :     +- Exchange (59)\n                              :     :        +- HashAggregate (58)\n                              :     :           +- HashAggregate (57)\n                              :     :              +- Exchange (56)\n                              :     :                 +- HashAggregate (55)\n                              :     :                    +- Project (54)\n                              :     :                       +- BroadcastHashJoin LeftOuter BuildRight (53)\n                              :     :                          :- Filter (50)\n                              :     :                          :  +- Scan csv  (49)\n                              :     :                          +- BroadcastExchange (52)\n                              :     :                             +- Filter (51)\n                              :     :                                +- Scan csv  (3)\n                              :     +- BroadcastExchange (63)\n                              :        +- Filter (62)\n                              :           +- Scan csv  (19)\n                              +- BroadcastExchange (73)\n                                 +- HashAggregate (72)\n                                    +- Exchange (71)\n                                       +- HashAggregate (70)\n                                          +- HashAggregate (69)\n                                             +- Exchange (68)\n                                                +- HashAggregate (67)\n                                                   +- Filter (66)\n                                                      +- Scan csv  (25)\n\n\n(1) Scan csv \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) Filter [codegen id : 5]\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(3) Scan csv \nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(4) Filter [codegen id : 1]\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(5) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=228]\n\n(6) BroadcastQueryStage\nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: 0\n\n(7) BroadcastHashJoin [codegen id : 5]\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(8) Project [codegen id : 5]\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(9) HashAggregate [codegen id : 5]\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(10) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=601]\n\n(11) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: 4\n\n(12) AQEShuffleRead\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: coalesced\n\n(13) HashAggregate [codegen id : 7]\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(14) HashAggregate [codegen id : 7]\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(15) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=806]\n\n(16) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: 6\n\n(17) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(18) Project\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(19) Scan csv \nOutput [2]: [id#24L, title#25]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.csv]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(20) Filter [codegen id : 2]\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(21) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=247]\n\n(22) BroadcastQueryStage\nOutput [2]: [id#24L, title#25]\nArguments: 1\n\n(23) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(24) Project\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(25) Scan csv \nOutput [2]: [user_id#17L, course_id#18L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(26) Filter [codegen id : 3]\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(27) HashAggregate [codegen id : 3]\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(28) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=260]\n\n(29) ShuffleQueryStage\nOutput [2]: [course_id#18L, user_id#17L]\nArguments: 2\n\n(30) AQEShuffleRead\nInput [2]: [course_id#18L, user_id#17L]\nArguments: coalesced\n\n(31) HashAggregate [codegen id : 4]\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(32) HashAggregate [codegen id : 4]\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(33) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=435]\n\n(34) ShuffleQueryStage\nOutput [2]: [course_id#18L, count#166L]\nArguments: 3\n\n(35) AQEShuffleRead\nInput [2]: [course_id#18L, count#166L]\nArguments: coalesced\n\n(36) HashAggregate [codegen id : 6]\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(37) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=716]\n\n(38) BroadcastQueryStage\nOutput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: 5\n\n(39) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(40) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(41) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=823]\n\n(42) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(43) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(44) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(45) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=827]\n\n(46) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(47) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\n\n(48) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(49) Scan csv \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(50) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(51) Filter\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(52) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(53) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(54) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(55) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(56) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(57) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(58) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(59) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(60) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(61) Project\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(62) Filter\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(63) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(64) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(65) Project\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(66) Filter\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(67) HashAggregate\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(68) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(69) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(70) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(71) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(72) HashAggregate\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(73) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(74) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(75) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(76) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=153]\n\n(77) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(78) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(79) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(80) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=158]\n\n(81) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(82) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, 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Values":true},{"ID":1136,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1137,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1138,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1139,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1140,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1141,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1142,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1143,"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":5,"Completion Time":1784024742664,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[1002,2],[1001,10],[1000,168],[999,5],[998,1048616]]}
{"Event":"SparkListenerTaskEnd","Stage ID":10,"Stage Attempt ID":0,"Task Type":"ShuffleMapTask","Task End Reason":{"Reason":"Success"},"Task Info":{"Task ID":6,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1784024742601,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":1784024742782,"Failed":false,"Killed":false,"Accumulables":[{"ID":867,"Name":"local blocks read","Update":"1","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":870,"Name":"local bytes read","Update":"5348","Value":"5348","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":871,"Name":"fetch wait time","Update":"0","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":872,"Name":"records read","Update":"58","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1078,"Name":"data size","Update":"1360","Value":"1360","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1097,"Name":"shuffle bytes written","Update":"1689","Value":"1689","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1098,"Name":"shuffle records written","Update":"18","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1099,"Name":"shuffle write time","Update":"3046084","Value":"3046084","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1100,"Name":"duration","Update":"42","Value":"42","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1101,"Name":"number of output rows","Update":"18","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1102,"Name":"peak memory","Update":"262144","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1104,"Name":"time in aggregation build","Update":"10","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1107,"Name":"number of output rows","Update":"58","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1108,"Name":"peak memory","Update":"4456432","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1110,"Name":"time in aggregation build","Update":"1","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1111,"Name":"avg hash probes per key","Update":"10","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1151,"Name":"internal.metrics.executorDeserializeTime","Update":48,"Value":48,"Internal":true,"Count Failed Values":true},{"ID":1152,"Name":"internal.metrics.executorDeserializeCpuTime","Update":12649014,"Value":12649014,"Internal":true,"Count Failed Values":true},{"ID":1153,"Name":"internal.metrics.executorRunTime","Update":97,"Value":97,"Internal":true,"Count Failed Values":true},{"ID":1154,"Name":"internal.metrics.executorCpuTime","Update":86949185,"Value":86949185,"Internal":true,"Count Failed Values":true},{"ID":1155,"Name":"internal.metrics.resultSize","Update":6576,"Value":6576,"Internal":true,"Count Failed Values":true},{"ID":1160,"Name":"internal.metrics.peakExecutionMemory","Update":4718576,"Value":4718576,"Internal":true,"Count Failed Values":true},{"ID":1162,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1163,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Update":1,"Value":1,"Internal":true,"Count Failed Values":true},{"ID":1164,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1165,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1166,"Name":"internal.metrics.shuffle.read.localBytesRead","Update":5348,"Value":5348,"Internal":true,"Count Failed Values":true},{"ID":1167,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1168,"Name":"internal.metrics.shuffle.read.recordsRead","Update":58,"Value":58,"Internal":true,"Count Failed Values":true},{"ID":1169,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1170,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1171,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1172,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1173,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1174,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1175,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1176,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1177,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1178,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1179,"Name":"internal.metrics.shuffle.write.bytesWritten","Update":1689,"Value":1689,"Internal":true,"Count Failed Values":true},{"ID":1180,"Name":"internal.metrics.shuffle.write.recordsWritten","Update":18,"Value":18,"Internal":true,"Count Failed Values":true},{"ID":1181,"Name":"internal.metrics.shuffle.write.writeTime","Update":3046084,"Value":3046084,"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":48,"Executor Deserialize CPU Time":12649014,"Executor Run Time":97,"Executor CPU Time":86949185,"Peak Execution Memory":4718576,"Result Size":6576,"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":5348,"Total Records Read":58,"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":1689,"Shuffle Write Time":3046084,"Shuffle Records Written":18},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":10,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":24,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"45\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[23],"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":22,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"50\",\"name\":\"AQEShuffleRead\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[18],"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":23,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"46\",\"name\":\"WholeStageCodegen (7)\"}","Callsite":"parquet 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":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[9],"Details":"org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:792)\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":1784024742577,"Completion Time":1784024742784,"Accumulables":[{"ID":867,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":870,"Name":"local bytes read","Value":"5348","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":871,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":872,"Name":"records read","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1078,"Name":"data size","Value":"1360","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1097,"Name":"shuffle bytes written","Value":"1689","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1098,"Name":"shuffle records written","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1099,"Name":"shuffle write time","Value":"3046084","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1100,"Name":"duration","Value":"42","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1101,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1102,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1104,"Name":"time in aggregation build","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1107,"Name":"number of output rows","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1108,"Name":"peak memory","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1110,"Name":"time in aggregation build","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1111,"Name":"avg hash probes per key","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1151,"Name":"internal.metrics.executorDeserializeTime","Value":48,"Internal":true,"Count Failed Values":true},{"ID":1152,"Name":"internal.metrics.executorDeserializeCpuTime","Value":12649014,"Internal":true,"Count Failed Values":true},{"ID":1153,"Name":"internal.metrics.executorRunTime","Value":97,"Internal":true,"Count Failed Values":true},{"ID":1154,"Name":"internal.metrics.executorCpuTime","Value":86949185,"Internal":true,"Count Failed Values":true},{"ID":1155,"Name":"internal.metrics.resultSize","Value":6576,"Internal":true,"Count Failed Values":true},{"ID":1160,"Name":"internal.metrics.peakExecutionMemory","Value":4718576,"Internal":true,"Count Failed Values":true},{"ID":1162,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1163,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":1164,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1165,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1166,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":5348,"Internal":true,"Count Failed Values":true},{"ID":1167,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1168,"Name":"internal.metrics.shuffle.read.recordsRead","Value":58,"Internal":true,"Count Failed Values":true},{"ID":1169,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1170,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1171,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1172,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1173,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1174,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1175,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1176,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1177,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1178,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1179,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":1689,"Internal":true,"Count Failed Values":true},{"ID":1180,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":18,"Internal":true,"Count Failed Values":true},{"ID":1181,"Name":"internal.metrics.shuffle.write.writeTime","Value":3046084,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":6,"Completion Time":1784024742786,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (86)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (50)\n   +- WriteFiles (49)\n      +- Sort (48)\n         +- Exchange (47)\n            +- Project (46)\n               +- Window (45)\n                  +- Sort (44)\n                     +- ShuffleQueryStage (43)\n                        +- Exchange (42)\n                           +- * Project (41)\n                              +- * BroadcastHashJoin LeftOuter BuildRight (40)\n                                 :- * Project (25)\n                                 :  +- * BroadcastHashJoin Inner BuildRight (24)\n                                 :     :- * Project (19)\n                                 :     :  +- * HashAggregate (18)\n                                 :     :     +- AQEShuffleRead (17)\n                                 :     :        +- ShuffleQueryStage (16), Statistics(sizeInBytes=1360.0 B, rowCount=18)\n                                 :     :           +- Exchange (15)\n                                 :     :              +- * HashAggregate (14)\n                                 :     :                 +- * HashAggregate (13)\n                                 :     :                    +- AQEShuffleRead (12)\n                                 :     :                       +- ShuffleQueryStage (11), Statistics(sizeInBytes=4.0 KiB, rowCount=58)\n                                 :     :                          +- Exchange (10)\n                                 :     :                             +- * HashAggregate (9)\n                                 :     :                                +- * Project (8)\n                                 :     :                                   +- * BroadcastHashJoin LeftOuter BuildRight (7)\n                                 :     :                                      :- * Filter (2)\n                                 :     :                                      :  +- Scan csv  (1)\n                                 :     :                                      +- BroadcastQueryStage (6), Statistics(sizeInBytes=1024.1 KiB, rowCount=58)\n                                 :     :                                         +- BroadcastExchange (5)\n                                 :     :                                            +- * Filter (4)\n                                 :     :                                               +- Scan csv  (3)\n                                 :     +- BroadcastQueryStage (23), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                                 :        +- BroadcastExchange (22)\n                                 :           +- * Filter (21)\n                                 :              +- Scan csv  (20)\n                                 +- BroadcastQueryStage (39), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                                    +- BroadcastExchange (38)\n                                       +- * HashAggregate (37)\n                                          +- AQEShuffleRead (36)\n                                             +- ShuffleQueryStage (35), Statistics(sizeInBytes=120.0 B, rowCount=5)\n                                                +- Exchange (34)\n                                                   +- * HashAggregate (33)\n                                                      +- * HashAggregate (32)\n                                                         +- AQEShuffleRead (31)\n                                                            +- ShuffleQueryStage (30), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                                                               +- Exchange (29)\n                                                                  +- * HashAggregate (28)\n                                                                     +- * Filter (27)\n                                                                        +- Scan csv  (26)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (85)\n   +- WriteFiles (84)\n      +- Sort (83)\n         +- Exchange (82)\n            +- Project (81)\n               +- Window (80)\n                  +- Sort (79)\n                     +- Exchange (78)\n                        +- Project (77)\n                           +- BroadcastHashJoin LeftOuter BuildRight (76)\n                              :- Project (67)\n                              :  +- BroadcastHashJoin Inner BuildRight (66)\n                              :     :- Project (63)\n                              :     :  +- HashAggregate (62)\n                              :     :     +- Exchange (61)\n                              :     :        +- HashAggregate (60)\n                              :     :           +- HashAggregate (59)\n                              :     :              +- Exchange (58)\n                              :     :                 +- HashAggregate (57)\n                              :     :                    +- Project (56)\n                              :     :                       +- BroadcastHashJoin LeftOuter BuildRight (55)\n                              :     :                          :- Filter (52)\n                              :     :                          :  +- Scan csv  (51)\n                              :     :                          +- BroadcastExchange (54)\n                              :     :                             +- Filter (53)\n                              :     :                                +- Scan csv  (3)\n                              :     +- BroadcastExchange (65)\n                              :        +- Filter (64)\n                              :           +- Scan csv  (20)\n                              +- BroadcastExchange (75)\n                                 +- HashAggregate (74)\n                                    +- Exchange (73)\n                                       +- HashAggregate (72)\n                                          +- HashAggregate (71)\n                                             +- Exchange (70)\n                                                +- HashAggregate (69)\n                                                   +- Filter (68)\n                                                      +- Scan csv  (26)\n\n\n(1) Scan csv \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) Filter [codegen id : 5]\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(3) Scan csv \nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(4) Filter [codegen id : 1]\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(5) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=228]\n\n(6) BroadcastQueryStage\nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: 0\n\n(7) BroadcastHashJoin [codegen id : 5]\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(8) Project [codegen id : 5]\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(9) HashAggregate [codegen id : 5]\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(10) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=601]\n\n(11) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: 4\n\n(12) AQEShuffleRead\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: coalesced\n\n(13) HashAggregate [codegen id : 7]\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(14) HashAggregate [codegen id : 7]\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(15) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=806]\n\n(16) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: 6\n\n(17) AQEShuffleRead\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: coalesced\n\n(18) HashAggregate [codegen id : 8]\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(19) Project [codegen id : 8]\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(20) Scan csv \nOutput [2]: [id#24L, title#25]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.csv]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(21) Filter [codegen id : 2]\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(22) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=247]\n\n(23) BroadcastQueryStage\nOutput [2]: [id#24L, title#25]\nArguments: 1\n\n(24) BroadcastHashJoin [codegen id : 8]\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(25) Project [codegen id : 8]\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(26) Scan csv \nOutput [2]: [user_id#17L, course_id#18L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(27) Filter [codegen id : 3]\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(28) HashAggregate [codegen id : 3]\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(29) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=260]\n\n(30) ShuffleQueryStage\nOutput [2]: [course_id#18L, user_id#17L]\nArguments: 2\n\n(31) AQEShuffleRead\nInput [2]: [course_id#18L, user_id#17L]\nArguments: coalesced\n\n(32) HashAggregate [codegen id : 4]\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(33) HashAggregate [codegen id : 4]\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(34) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=435]\n\n(35) ShuffleQueryStage\nOutput [2]: [course_id#18L, count#166L]\nArguments: 3\n\n(36) AQEShuffleRead\nInput [2]: [course_id#18L, count#166L]\nArguments: coalesced\n\n(37) HashAggregate [codegen id : 6]\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(38) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=716]\n\n(39) BroadcastQueryStage\nOutput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: 5\n\n(40) BroadcastHashJoin [codegen id : 8]\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(41) Project [codegen id : 8]\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(42) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=959]\n\n(43) ShuffleQueryStage\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: 7\n\n(44) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(45) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(46) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(47) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=983]\n\n(48) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(49) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\n\n(50) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(51) Scan csv \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(52) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(53) Filter\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(54) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(55) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(56) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(57) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(58) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(59) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(60) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(61) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(62) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(63) Project\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(64) Filter\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(65) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(66) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(67) Project\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(68) Filter\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(69) HashAggregate\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(70) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(71) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(72) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(73) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(74) HashAggregate\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(75) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(76) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(77) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(78) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=153]\n\n(79) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(80) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(81) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(82) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=158]\n\n(83) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(84) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\n\n(85) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, 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Values":true,"Metadata":"sql"},{"ID":1240,"Name":"shuffle bytes written","Update":"1621","Value":"1621","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1241,"Name":"shuffle records written","Update":"18","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1242,"Name":"shuffle write time","Update":"3384963","Value":"3384963","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1243,"Name":"duration","Update":"49","Value":"49","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1244,"Name":"number of output rows","Update":"18","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1245,"Name":"number of output rows","Update":"18","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1246,"Name":"number of output rows","Update":"18","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1247,"Name":"peak memory","Update":"4456432","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1249,"Name":"time in aggregation build","Update":"1","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1250,"Name":"avg hash probes per key","Update":"10","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1255,"Name":"internal.metrics.executorDeserializeTime","Update":53,"Value":53,"Internal":true,"Count Failed Values":true},{"ID":1256,"Name":"internal.metrics.executorDeserializeCpuTime","Update":40681318,"Value":40681318,"Internal":true,"Count Failed Values":true},{"ID":1257,"Name":"internal.metrics.executorRunTime","Update":81,"Value":81,"Internal":true,"Count Failed Values":true},{"ID":1258,"Name":"internal.metrics.executorCpuTime","Update":60182561,"Value":60182561,"Internal":true,"Count Failed Values":true},{"ID":1259,"Name":"internal.metrics.resultSize","Update":13464,"Value":13464,"Internal":true,"Count Failed Values":true},{"ID":1264,"Name":"internal.metrics.peakExecutionMemory","Update":4457016,"Value":4457016,"Internal":true,"Count Failed Values":true},{"ID":1266,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1267,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Update":1,"Value":1,"Internal":true,"Count Failed Values":true},{"ID":1268,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1269,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1270,"Name":"internal.metrics.shuffle.read.localBytesRead","Update":1689,"Value":1689,"Internal":true,"Count Failed Values":true},{"ID":1271,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1272,"Name":"internal.metrics.shuffle.read.recordsRead","Update":18,"Value":18,"Internal":true,"Count Failed Values":true},{"ID":1273,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1274,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1275,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1276,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1277,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1278,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1279,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1280,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1281,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1282,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1283,"Name":"internal.metrics.shuffle.write.bytesWritten","Update":1621,"Value":1621,"Internal":true,"Count Failed Values":true},{"ID":1284,"Name":"internal.metrics.shuffle.write.recordsWritten","Update":18,"Value":18,"Internal":true,"Count Failed Values":true},{"ID":1285,"Name":"internal.metrics.shuffle.write.writeTime","Update":3384963,"Value":3384963,"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":53,"Executor Deserialize CPU Time":40681318,"Executor Run Time":81,"Executor CPU Time":60182561,"Peak Execution Memory":4457016,"Result Size":13464,"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":1689,"Total Records Read":18,"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":1621,"Shuffle Write Time":3384963,"Shuffle Records Written":18},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":13,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":27,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"61\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[26],"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":26,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"62\",\"name\":\"WholeStageCodegen (8)\"}","Callsite":"parquet 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":25,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"78\",\"name\":\"AQEShuffleRead\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[24],"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":[12],"Details":"org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:792)\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":1784024742889,"Completion Time":1784024743042,"Accumulables":[{"ID":1081,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1084,"Name":"local bytes read","Value":"1689","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1085,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1086,"Name":"records read","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1221,"Name":"data size","Value":"2456","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1240,"Name":"shuffle bytes written","Value":"1621","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1241,"Name":"shuffle records written","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1242,"Name":"shuffle write time","Value":"3384963","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1243,"Name":"duration","Value":"49","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1244,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1245,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1246,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1247,"Name":"peak memory","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1249,"Name":"time in aggregation build","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1250,"Name":"avg hash probes per key","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1255,"Name":"internal.metrics.executorDeserializeTime","Value":53,"Internal":true,"Count Failed Values":true},{"ID":1256,"Name":"internal.metrics.executorDeserializeCpuTime","Value":40681318,"Internal":true,"Count Failed Values":true},{"ID":1257,"Name":"internal.metrics.executorRunTime","Value":81,"Internal":true,"Count Failed Values":true},{"ID":1258,"Name":"internal.metrics.executorCpuTime","Value":60182561,"Internal":true,"Count Failed Values":true},{"ID":1259,"Name":"internal.metrics.resultSize","Value":13464,"Internal":true,"Count Failed Values":true},{"ID":1264,"Name":"internal.metrics.peakExecutionMemory","Value":4457016,"Internal":true,"Count Failed Values":true},{"ID":1266,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1267,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":1268,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1269,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1270,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":1689,"Internal":true,"Count Failed Values":true},{"ID":1271,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1272,"Name":"internal.metrics.shuffle.read.recordsRead","Value":18,"Internal":true,"Count Failed Values":true},{"ID":1273,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1274,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1275,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1276,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1277,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1278,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1279,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1280,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1281,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1282,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1283,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":1621,"Internal":true,"Count Failed Values":true},{"ID":1284,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":18,"Internal":true,"Count Failed Values":true},{"ID":1285,"Name":"internal.metrics.shuffle.write.writeTime","Value":3384963,"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":1784024743042,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (88)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (52)\n   +- WriteFiles (51)\n      +- Sort (50)\n         +- ShuffleQueryStage (49)\n            +- Exchange (48)\n               +- * Project (47)\n                  +- Window (46)\n                     +- * Sort (45)\n                        +- AQEShuffleRead (44)\n                           +- ShuffleQueryStage (43), Statistics(sizeInBytes=2.4 KiB, rowCount=18)\n                              +- Exchange (42)\n                                 +- * Project (41)\n                                    +- * BroadcastHashJoin LeftOuter BuildRight (40)\n                                       :- * Project (25)\n                                       :  +- * BroadcastHashJoin Inner BuildRight (24)\n                                       :     :- * Project (19)\n                                       :     :  +- * HashAggregate (18)\n                                       :     :     +- AQEShuffleRead (17)\n                                       :     :        +- ShuffleQueryStage (16), Statistics(sizeInBytes=1360.0 B, rowCount=18)\n                                       :     :           +- Exchange (15)\n                                       :     :              +- * HashAggregate (14)\n                                       :     :                 +- * HashAggregate (13)\n                                       :     :                    +- AQEShuffleRead (12)\n                                       :     :                       +- ShuffleQueryStage (11), Statistics(sizeInBytes=4.0 KiB, rowCount=58)\n                                       :     :                          +- Exchange (10)\n                                       :     :                             +- * HashAggregate (9)\n                                       :     :                                +- * Project (8)\n                                       :     :                                   +- * BroadcastHashJoin LeftOuter BuildRight (7)\n                                       :     :                                      :- * Filter (2)\n                                       :     :                                      :  +- Scan csv  (1)\n                                       :     :                                      +- BroadcastQueryStage (6), Statistics(sizeInBytes=1024.1 KiB, rowCount=58)\n                                       :     :                                         +- BroadcastExchange (5)\n                                       :     :                                            +- * Filter (4)\n                                       :     :                                               +- Scan csv  (3)\n                                       :     +- BroadcastQueryStage (23), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                                       :        +- BroadcastExchange (22)\n                                       :           +- * Filter (21)\n                                       :              +- Scan csv  (20)\n                                       +- BroadcastQueryStage (39), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                                          +- BroadcastExchange (38)\n                                             +- * HashAggregate (37)\n                                                +- AQEShuffleRead (36)\n                                                   +- ShuffleQueryStage (35), Statistics(sizeInBytes=120.0 B, rowCount=5)\n                                                      +- Exchange (34)\n                                                         +- * HashAggregate (33)\n                                                            +- * HashAggregate (32)\n                                                               +- AQEShuffleRead (31)\n                                                                  +- ShuffleQueryStage (30), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                                                                     +- Exchange (29)\n                                                                        +- * HashAggregate (28)\n                                                                           +- * Filter (27)\n                                                                              +- Scan csv  (26)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (87)\n   +- WriteFiles (86)\n      +- Sort (85)\n         +- Exchange (84)\n            +- Project (83)\n               +- Window (82)\n                  +- Sort (81)\n                     +- Exchange (80)\n                        +- Project (79)\n                           +- BroadcastHashJoin LeftOuter BuildRight (78)\n                              :- Project (69)\n                              :  +- BroadcastHashJoin Inner BuildRight (68)\n                              :     :- Project (65)\n                              :     :  +- HashAggregate (64)\n                              :     :     +- Exchange (63)\n                              :     :        +- HashAggregate (62)\n                              :     :           +- HashAggregate (61)\n                              :     :              +- Exchange (60)\n                              :     :                 +- HashAggregate (59)\n                              :     :                    +- Project (58)\n                              :     :                       +- BroadcastHashJoin LeftOuter BuildRight (57)\n                              :     :                          :- Filter (54)\n                              :     :                          :  +- Scan csv  (53)\n                              :     :                          +- BroadcastExchange (56)\n                              :     :                             +- Filter (55)\n                              :     :                                +- Scan csv  (3)\n                              :     +- BroadcastExchange (67)\n                              :        +- Filter (66)\n                              :           +- Scan csv  (20)\n                              +- BroadcastExchange (77)\n                                 +- HashAggregate (76)\n                                    +- Exchange (75)\n                                       +- HashAggregate (74)\n                                          +- HashAggregate (73)\n                                             +- Exchange (72)\n                                                +- HashAggregate (71)\n                                                   +- Filter (70)\n                                                      +- Scan csv  (26)\n\n\n(1) Scan csv \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) Filter [codegen id : 5]\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(3) Scan csv \nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(4) Filter [codegen id : 1]\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(5) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=228]\n\n(6) BroadcastQueryStage\nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: 0\n\n(7) BroadcastHashJoin [codegen id : 5]\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(8) Project [codegen id : 5]\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(9) HashAggregate [codegen id : 5]\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(10) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=601]\n\n(11) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: 4\n\n(12) AQEShuffleRead\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: coalesced\n\n(13) HashAggregate [codegen id : 7]\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(14) HashAggregate [codegen id : 7]\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(15) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=806]\n\n(16) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: 6\n\n(17) AQEShuffleRead\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: coalesced\n\n(18) HashAggregate [codegen id : 8]\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(19) Project [codegen id : 8]\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(20) Scan csv \nOutput [2]: [id#24L, title#25]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.csv]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(21) Filter [codegen id : 2]\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(22) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=247]\n\n(23) BroadcastQueryStage\nOutput [2]: [id#24L, title#25]\nArguments: 1\n\n(24) BroadcastHashJoin [codegen id : 8]\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(25) Project [codegen id : 8]\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(26) Scan csv \nOutput [2]: [user_id#17L, course_id#18L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(27) Filter [codegen id : 3]\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(28) HashAggregate [codegen id : 3]\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(29) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=260]\n\n(30) ShuffleQueryStage\nOutput [2]: [course_id#18L, user_id#17L]\nArguments: 2\n\n(31) AQEShuffleRead\nInput [2]: [course_id#18L, user_id#17L]\nArguments: coalesced\n\n(32) HashAggregate [codegen id : 4]\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(33) HashAggregate [codegen id : 4]\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(34) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=435]\n\n(35) ShuffleQueryStage\nOutput [2]: [course_id#18L, count#166L]\nArguments: 3\n\n(36) AQEShuffleRead\nInput [2]: [course_id#18L, count#166L]\nArguments: coalesced\n\n(37) HashAggregate [codegen id : 6]\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(38) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=716]\n\n(39) BroadcastQueryStage\nOutput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: 5\n\n(40) BroadcastHashJoin [codegen id : 8]\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(41) Project [codegen id : 8]\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(42) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=959]\n\n(43) ShuffleQueryStage\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: 7\n\n(44) AQEShuffleRead\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: coalesced\n\n(45) Sort [codegen id : 9]\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(46) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(47) Project [codegen id : 10]\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(48) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=1031]\n\n(49) ShuffleQueryStage\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: 8\n\n(50) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(51) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\n\n(52) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(53) Scan csv \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(54) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(55) Filter\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(56) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(57) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(58) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(59) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(60) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(61) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(62) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(63) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(64) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(65) Project\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(66) Filter\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(67) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(68) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(69) Project\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(70) Filter\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(71) HashAggregate\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(72) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(73) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(74) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(75) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(76) HashAggregate\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(77) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(78) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(79) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(80) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=153]\n\n(81) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(82) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(83) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(84) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=158]\n\n(85) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(86) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\n\n(87) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(88) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [popularity_rank#140 ASC NULLS FIRST], true, 0","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 8","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=1031]","children":[{"nodeName":"WholeStageCodegen 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NativeMethodAccessorImpl.java:0","Parent IDs":[27],"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.DataFrameWriter.parquet(DataFrameWriter.scala:792)\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":1784024743500,"Completion Time":1784024743585,"Accumulables":[{"ID":1224,"Name":"local blocks read","Value":"2","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1227,"Name":"local bytes read","Value":"3242","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1228,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1229,"Name":"records read","Value":"36","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1299,"Name":"data size","Value":"2456","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1318,"Name":"shuffle bytes written","Value":"1942","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1319,"Name":"shuffle records written","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1320,"Name":"shuffle write time","Value":"708637","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1321,"Name":"duration","Value":"15","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1322,"Name":"spill size","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1323,"Name":"duration","Value":"153","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1324,"Name":"sort time","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1325,"Name":"peak memory","Value":"8519648","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1326,"Name":"spill size","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1365,"Name":"internal.metrics.executorDeserializeTime","Value":34,"Internal":true,"Count Failed Values":true},{"ID":1366,"Name":"internal.metrics.executorDeserializeCpuTime","Value":27138672,"Internal":true,"Count Failed Values":true},{"ID":1367,"Name":"internal.metrics.executorRunTime","Value":24,"Internal":true,"Count Failed Values":true},{"ID":1368,"Name":"internal.metrics.executorCpuTime","Value":24349715,"Internal":true,"Count Failed Values":true},{"ID":1369,"Name":"internal.metrics.resultSize","Value":14848,"Internal":true,"Count Failed Values":true},{"ID":1374,"Name":"internal.metrics.peakExecutionMemory","Value":4259824,"Internal":true,"Count Failed Values":true},{"ID":1376,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1377,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":1378,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1379,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1380,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":1621,"Internal":true,"Count Failed Values":true},{"ID":1381,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1382,"Name":"internal.metrics.shuffle.read.recordsRead","Value":18,"Internal":true,"Count Failed Values":true},{"ID":1383,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1384,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1385,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1386,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1387,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1388,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1389,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1390,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1391,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1392,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1393,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":1942,"Internal":true,"Count Failed Values":true},{"ID":1394,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":18,"Internal":true,"Count Failed Values":true},{"ID":1395,"Name":"internal.metrics.shuffle.write.writeTime","Value":708637,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":9,"Completion Time":1784024743588,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (89)\n+- == Final Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (53)\n   +- WriteFiles (52)\n      +- * Sort (51)\n         +- AQEShuffleRead (50)\n            +- ShuffleQueryStage (49), Statistics(sizeInBytes=2.4 KiB, rowCount=18)\n               +- Exchange (48)\n                  +- * Project (47)\n                     +- Window (46)\n                        +- * Sort (45)\n                           +- AQEShuffleRead (44)\n                              +- ShuffleQueryStage (43), Statistics(sizeInBytes=2.4 KiB, rowCount=18)\n                                 +- Exchange (42)\n                                    +- * Project (41)\n                                       +- * BroadcastHashJoin LeftOuter BuildRight (40)\n                                          :- * Project (25)\n                                          :  +- * BroadcastHashJoin Inner BuildRight (24)\n                                          :     :- * Project (19)\n                                          :     :  +- * HashAggregate (18)\n                                          :     :     +- AQEShuffleRead (17)\n                                          :     :        +- ShuffleQueryStage (16), Statistics(sizeInBytes=1360.0 B, rowCount=18)\n                                          :     :           +- Exchange (15)\n                                          :     :              +- * HashAggregate (14)\n                                          :     :                 +- * HashAggregate (13)\n                                          :     :                    +- AQEShuffleRead (12)\n                                          :     :                       +- ShuffleQueryStage (11), Statistics(sizeInBytes=4.0 KiB, rowCount=58)\n                                          :     :                          +- Exchange (10)\n                                          :     :                             +- * HashAggregate (9)\n                                          :     :                                +- * Project (8)\n                                          :     :                                   +- * BroadcastHashJoin LeftOuter BuildRight (7)\n                                          :     :                                      :- * Filter (2)\n                                          :     :                                      :  +- Scan csv  (1)\n                                          :     :                                      +- BroadcastQueryStage (6), Statistics(sizeInBytes=1024.1 KiB, rowCount=58)\n                                          :     :                                         +- BroadcastExchange (5)\n                                          :     :                                            +- * Filter (4)\n                                          :     :                                               +- Scan csv  (3)\n                                          :     +- BroadcastQueryStage (23), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                                          :        +- BroadcastExchange (22)\n                                          :           +- * Filter (21)\n                                          :              +- Scan csv  (20)\n                                          +- BroadcastQueryStage (39), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                                             +- BroadcastExchange (38)\n                                                +- * HashAggregate (37)\n                                                   +- AQEShuffleRead (36)\n                                                      +- ShuffleQueryStage (35), Statistics(sizeInBytes=120.0 B, rowCount=5)\n                                                         +- Exchange (34)\n                                                            +- * HashAggregate (33)\n                                                               +- * HashAggregate (32)\n                                                                  +- AQEShuffleRead (31)\n                                                                     +- ShuffleQueryStage (30), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                                                                        +- Exchange (29)\n                                                                           +- * HashAggregate (28)\n                                                                              +- * Filter (27)\n                                                                                 +- Scan csv  (26)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (88)\n   +- WriteFiles (87)\n      +- Sort (86)\n         +- Exchange (85)\n            +- Project (84)\n               +- Window (83)\n                  +- Sort (82)\n                     +- Exchange (81)\n                        +- Project (80)\n                           +- BroadcastHashJoin LeftOuter BuildRight (79)\n                              :- Project (70)\n                              :  +- BroadcastHashJoin Inner BuildRight (69)\n                              :     :- Project (66)\n                              :     :  +- HashAggregate (65)\n                              :     :     +- Exchange (64)\n                              :     :        +- HashAggregate (63)\n                              :     :           +- HashAggregate (62)\n                              :     :              +- Exchange (61)\n                              :     :                 +- HashAggregate (60)\n                              :     :                    +- Project (59)\n                              :     :                       +- BroadcastHashJoin LeftOuter BuildRight (58)\n                              :     :                          :- Filter (55)\n                              :     :                          :  +- Scan csv  (54)\n                              :     :                          +- BroadcastExchange (57)\n                              :     :                             +- Filter (56)\n                              :     :                                +- Scan csv  (3)\n                              :     +- BroadcastExchange (68)\n                              :        +- Filter (67)\n                              :           +- Scan csv  (20)\n                              +- BroadcastExchange (78)\n                                 +- HashAggregate (77)\n                                    +- Exchange (76)\n                                       +- HashAggregate (75)\n                                          +- HashAggregate (74)\n                                             +- Exchange (73)\n                                                +- HashAggregate (72)\n                                                   +- Filter (71)\n                                                      +- Scan csv  (26)\n\n\n(1) Scan csv \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) Filter [codegen id : 5]\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(3) Scan csv \nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(4) Filter [codegen id : 1]\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(5) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=228]\n\n(6) BroadcastQueryStage\nOutput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: 0\n\n(7) BroadcastHashJoin [codegen id : 5]\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(8) Project [codegen id : 5]\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(9) HashAggregate [codegen id : 5]\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(10) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=601]\n\n(11) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: 4\n\n(12) AQEShuffleRead\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: coalesced\n\n(13) HashAggregate [codegen id : 7]\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(14) HashAggregate [codegen id : 7]\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(15) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=806]\n\n(16) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: 6\n\n(17) AQEShuffleRead\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: coalesced\n\n(18) HashAggregate [codegen id : 8]\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(19) Project [codegen id : 8]\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(20) Scan csv \nOutput [2]: [id#24L, title#25]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.csv]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(21) Filter [codegen id : 2]\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(22) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=247]\n\n(23) BroadcastQueryStage\nOutput [2]: [id#24L, title#25]\nArguments: 1\n\n(24) BroadcastHashJoin [codegen id : 8]\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(25) Project [codegen id : 8]\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(26) Scan csv \nOutput [2]: [user_id#17L, course_id#18L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(27) Filter [codegen id : 3]\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(28) HashAggregate [codegen id : 3]\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(29) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=260]\n\n(30) ShuffleQueryStage\nOutput [2]: [course_id#18L, user_id#17L]\nArguments: 2\n\n(31) AQEShuffleRead\nInput [2]: [course_id#18L, user_id#17L]\nArguments: coalesced\n\n(32) HashAggregate [codegen id : 4]\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(33) HashAggregate [codegen id : 4]\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(34) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=435]\n\n(35) ShuffleQueryStage\nOutput [2]: [course_id#18L, count#166L]\nArguments: 3\n\n(36) AQEShuffleRead\nInput [2]: [course_id#18L, count#166L]\nArguments: coalesced\n\n(37) HashAggregate [codegen id : 6]\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(38) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=716]\n\n(39) BroadcastQueryStage\nOutput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: 5\n\n(40) BroadcastHashJoin [codegen id : 8]\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(41) Project [codegen id : 8]\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(42) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=959]\n\n(43) ShuffleQueryStage\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: 7\n\n(44) AQEShuffleRead\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: coalesced\n\n(45) Sort [codegen id : 9]\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(46) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(47) Project [codegen id : 10]\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(48) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=1031]\n\n(49) ShuffleQueryStage\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: 8\n\n(50) AQEShuffleRead\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: coalesced\n\n(51) Sort [codegen id : 11]\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(52) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\n\n(53) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(54) Scan csv \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(55) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(56) Filter\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nCondition : isnotnull(lesson_id#10L)\n\n(57) BroadcastExchange\nInput [3]: [id#8L, user_id#9L, lesson_id#10L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(58) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#10L]\nJoin type: LeftOuter\nJoin condition: None\n\n(59) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nInput [6]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L, lesson_id#10L]\n\n(60) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#8L, user_id#9L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [partial_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(61) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(62) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#9L]\nFunctions [1]: [merge_count(id#8L)]\nAggregate Attributes [1]: [count(id#8L)#58L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\n\n(63) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#9L, count#159L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#8L), partial_count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\n\n(64) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(65) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#159L, count#162L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#8L), count(distinct user_id#9L)]\nAggregate Attributes [2]: [count(id#8L)#58L, count(user_id#9L)#61L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#8L)#58L AS total_views#59L, count(user_id#9L)#61L AS unique_viewers#60L]\n\n(66) Project\nOutput [6]: [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#59L, unique_viewers#60L]\n\n(67) Filter\nInput [2]: [id#24L, title#25]\nCondition : isnotnull(id#24L)\n\n(68) BroadcastExchange\nInput [2]: [id#24L, title#25]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(69) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#24L]\nJoin type: Inner\nJoin condition: None\n\n(70) Project\nOutput [7]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]\nInput [8]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, id#24L, title#25]\n\n(71) Filter\nInput [2]: [user_id#17L, course_id#18L]\nCondition : isnotnull(course_id#18L)\n\n(72) HashAggregate\nInput [2]: [user_id#17L, course_id#18L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(73) Exchange\nInput [2]: [course_id#18L, user_id#17L]\nArguments: hashpartitioning(course_id#18L, user_id#17L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(74) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [2]: [course_id#18L, user_id#17L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#18L, user_id#17L]\n\n(75) HashAggregate\nInput [2]: [course_id#18L, user_id#17L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [partial_count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count#166L]\n\n(76) Exchange\nInput [2]: [course_id#18L, count#166L]\nArguments: hashpartitioning(course_id#18L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(77) HashAggregate\nInput [2]: [course_id#18L, count#166L]\nKeys [1]: [course_id#18L]\nFunctions [1]: [count(distinct user_id#17L)]\nAggregate Attributes [1]: [count(user_id#17L)#87L]\nResults [2]: [course_id#18L, count(user_id#17L)#87L AS enrolled_to_course#86L]\n\n(78) BroadcastExchange\nInput [2]: [course_id#18L, enrolled_to_course#86L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(79) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#18L]\nJoin type: LeftOuter\nJoin condition: None\n\n(80) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]\nInput [9]: [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25, course_id#18L, enrolled_to_course#86L]\n\n(81) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=153]\n\n(82) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0\n\n(83) Window\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L]\nArguments: [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]\n\n(84) Project\nOutput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nInput [9]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, completion_rate#141, course_id#1L, popularity_rank#140]\n\n(85) Exchange\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=158]\n\n(86) Sort\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\nArguments: [popularity_rank#140 ASC NULLS FIRST], true, 0\n\n(87) WriteFiles\nInput [8]: [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]\n\n(88) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(89) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=true\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=true","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"WholeStageCodegen (11)","simpleString":"WholeStageCodegen (11)","children":[{"nodeName":"Sort","simpleString":"Sort [popularity_rank#140 ASC NULLS FIRST], true, 0","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 8","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(popularity_rank#140 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=1031]","children":[{"nodeName":"WholeStageCodegen (10)","simpleString":"WholeStageCodegen (10)","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, course_title#138, popularity_rank#140, completion_rate#141]","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Window","simpleString":"Window [row_number() windowspecdefinition(course_id#1L, total_views#59L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#140], [course_id#1L], [total_views#59L DESC NULLS LAST]","children":[{"nodeName":"WholeStageCodegen (9)","simpleString":"WholeStageCodegen (9)","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#1L ASC NULLS FIRST, total_views#59L DESC NULLS LAST], false, 0","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 7","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=959]","children":[{"nodeName":"WholeStageCodegen (8)","simpleString":"WholeStageCodegen (8)","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#74L, lesson_title#75, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25 AS course_title#138, coalesce(round(((cast(unique_viewers#60L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#86L = 0) THEN cast(enrolled_to_course#86L as double) END), 2), 0.0) AS completion_rate#141, course_id#1L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#1L], [course_id#18L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#74L, lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, avg_viewers_per_viewer#67, title#25]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#1L], [id#24L], Inner, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#0L AS lesson_id#74L, title#2 AS lesson_title#75, course_id#1L, total_views#59L, unique_viewers#60L, coalesce(round(((cast(total_views#59L as double) * 1.0) / CASE WHEN NOT (unique_viewers#60L = 0) THEN cast(unique_viewers#60L as double) END), 2), 0.0) AS avg_viewers_per_viewer#67]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L], functions=[count(id#8L), count(distinct user_id#9L)])","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 6","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=806]","children":[{"nodeName":"WholeStageCodegen (7)","simpleString":"WholeStageCodegen (7)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L], functions=[merge_count(id#8L), partial_count(distinct user_id#9L)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L, user_id#9L], functions=[merge_count(id#8L)])","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 4","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, title#2, course_id#1L, user_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=601]","children":[{"nodeName":"WholeStageCodegen (5)","simpleString":"WholeStageCodegen (5)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L, user_id#9L], functions=[partial_count(id#8L)])","children":[{"nodeName":"Project","simpleString":"Project [id#0L, course_id#1L, title#2, id#8L, user_id#9L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#0L], [lesson_id#10L], LeftOuter, BuildRight, false","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#1L)","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [id#0L,course_id#1L,title#2] Batched: false, DataFilters: [isnotnull(course_id#1L)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.csv], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<id:bigint,course_id:bigint,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.csv]","ReadSchema":"struct<id:bigint,course_id:bigint,title:string>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#1L)]"},"metrics":[{"name":"number of output rows","accumulatorId":895,"metricType":"sum"},{"name":"number of files read","accumulatorId":896,"metricType":"sum"},{"name":"metadata time","accumulatorId":897,"metricType":"timing"},{"name":"size of files read","accumulatorId":898,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":894,"metricType":"sum"}]},{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 0","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=228]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(lesson_id#10L)","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [id#8L,user_id#9L,lesson_id#10L] Batched: false, DataFilters: [isnotnull(lesson_id#10L)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lesson_views.csv], PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id)], ReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lesson_views.csv]","ReadSchema":"struct<id:bigint,user_id:bigint,lesson_id:bigint>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(lesson_id)]","DataFilters":"[isnotnull(lesson_id#10L)]"},"metrics":[{"name":"number of output rows","accumulatorId":140,"metricType":"sum"},{"name":"number of files read","accumulatorId":141,"metricType":"sum"},{"name":"metadata time","accumulatorId":142,"metricType":"timing"},{"name":"size of files read","accumulatorId":143,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":360,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":359,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":358,"metricType":"timing"},{"name":"time to build","accumulatorId":357,"metricType":"timing"},{"name":"time to collect","accumulatorId":356,"metricType":"timing"},{"name":"number of output rows","accumulatorId":355,"metricType":"sum"},{"name":"data size","accumulatorId":354,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":893,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":889,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":890,"metricType":"timing"},{"name":"peak memory","accumulatorId":888,"metricType":"size"},{"name":"number of output rows","accumulatorId":887,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":892,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":891,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":886,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":884,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":878,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":885,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":879,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":876,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":873,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":882,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":875,"metricType":"sum"},{"name":"records 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{"Event":"SparkListenerJobEnd","Job ID":10,"Completion Time":1784024744970,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[1400,1],[1405,194],[1402,18],[1403,0],[1401,3618]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionEnd","executionId":0,"time":1784024745172,"errorMessage":""}
{"Event":"SparkListenerApplicationEnd","Timestamp":1784024745180}