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Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":23,"Executor Deserialize CPU Time":13989609,"Executor Run Time":16,"Executor CPU Time":2716830,"Peak Execution Memory":0,"Result Size":2190,"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 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Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1783414897004,"Completion Time":1783414897068,"Accumulables":[{"ID":71,"Name":"internal.metrics.executorDeserializeTime","Value":23,"Internal":true,"Count Failed Values":true},{"ID":72,"Name":"internal.metrics.executorDeserializeCpuTime","Value":13989609,"Internal":true,"Count Failed Values":true},{"ID":73,"Name":"internal.metrics.executorRunTime","Value":16,"Internal":true,"Count Failed Values":true},{"ID":74,"Name":"internal.metrics.executorCpuTime","Value":2716830,"Internal":true,"Count Failed Values":true},{"ID":75,"Name":"internal.metrics.resultSize","Value":2190,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}} {"Event":"SparkListenerJobEnd","Job ID":2,"Completion Time":1783414897068,"Job Result":{"Result":"JobSucceeded"}} {"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 (23)\n+- Execute InsertIntoHadoopFsRelationCommand (22)\n +- WriteFiles (21)\n +- SortAggregate (20)\n +- Sort (19)\n +- Exchange (18)\n +- SortAggregate (17)\n +- SortAggregate (16)\n +- Sort (15)\n +- Exchange (14)\n +- SortAggregate (13)\n +- Sort (12)\n +- Project (11)\n +- BroadcastHashJoin LeftOuter BuildRight (10)\n :- Project (6)\n : +- BroadcastHashJoin LeftOuter BuildRight (5)\n : :- Scan parquet (1)\n : +- BroadcastExchange (4)\n : +- Filter (3)\n : +- Scan parquet (2)\n +- BroadcastExchange (9)\n +- Filter (8)\n +- Scan parquet (7)\n\n\n(1) Scan parquet \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_fact_lesson_views.parquet]\nReadSchema: struct\n\n(2) Scan parquet \nOutput [2]: [lesson_id#8, title#10]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_dim_lesson.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct\n\n(3) Filter\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(4) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=67]\n\n(5) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: LeftOuter\nJoin condition: None\n\n(6) Project\nOutput [5]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10]\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, lesson_id#8, title#10]\n\n(7) Scan parquet \nOutput [2]: [course_id#16, title#17]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_dim_course.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct\n\n(8) Filter\nInput [2]: [course_id#16, title#17]\nCondition : isnotnull(course_id#16)\n\n(9) BroadcastExchange\nInput [2]: [course_id#16, title#17]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=71]\n\n(10) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#16]\nJoin type: LeftOuter\nJoin condition: None\n\n(11) Project\nOutput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nInput [7]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, course_id#16, title#17]\n\n(12) Sort\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(13) SortAggregate\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [partial_max(title#10), partial_max(title#17), partial_count(user_id#0), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(14) Exchange\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=78]\n\n(15) Sort\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(16) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(17) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\n\n(18) Exchange\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=83]\n\n(19) Sort\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST], false, 0\n\n(20) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [max(title#10), max(title#17), count(user_id#0), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, max(title#10)#81 AS lesson_title#82, course_id#2, max(title#17)#79 AS course_title#80, count(user_id#0)#83L AS total_views#84L, count(user_id#0)#90L AS unique_users#85L, min(viewed_at#3)#86 AS first_view#87, max(viewed_at#3)#88 AS last_view#89]\n\n(21) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#82, course_id#2, course_title#80, total_views#84L, unique_users#85L, first_view#87, last_view#89]\n\n(22) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(23) 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_ch/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"SortAggregate","simpleString":"SortAggregate(key=[lesson_id#1, course_id#2], functions=[max(title#10), max(title#17), count(user_id#0), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)])","children":[{"nodeName":"Sort","simpleString":"Sort [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=83]","children":[{"nodeName":"SortAggregate","simpleString":"SortAggregate(key=[lesson_id#1, course_id#2], functions=[merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)])","children":[{"nodeName":"SortAggregate","simpleString":"SortAggregate(key=[lesson_id#1, course_id#2, user_id#0], functions=[merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3)])","children":[{"nodeName":"Sort","simpleString":"Sort [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=78]","children":[{"nodeName":"SortAggregate","simpleString":"SortAggregate(key=[lesson_id#1, course_id#2, user_id#0], functions=[partial_max(title#10), partial_max(title#17), partial_count(user_id#0), partial_min(viewed_at#3), partial_max(viewed_at#3)])","children":[{"nodeName":"Sort","simpleString":"Sort [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0","children":[{"nodeName":"Project","simpleString":"Project [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#2], [course_id#16], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [lesson_id#1], [lesson_id#8], LeftOuter, BuildRight, false","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [user_id#0,lesson_id#1,course_id#2,viewed_at#3] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/ch_core/core_fact_lesson_views.parquet], PartitionFilters: [], PushedFilters: [], ReadSchema: struct","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/ch_core/core_fact_lesson_views.parquet]","ReadSchema":"struct","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[]","DataFilters":"[]"},"metrics":[{"name":"number of files read","accumulatorId":173,"metricType":"sum"},{"name":"scan time","accumulatorId":172,"metricType":"timing"},{"name":"metadata time","accumulatorId":174,"metricType":"timing"},{"name":"size of files read","accumulatorId":175,"metricType":"size"},{"name":"number of output rows","accumulatorId":171,"metricType":"sum"}]},{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=67]","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(lesson_id#8)","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [lesson_id#8,title#10] Batched: true, DataFilters: [isnotnull(lesson_id#8)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/ch_core/core_dim_lesson.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id)], ReadSchema: struct","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/ch_core/core_dim_lesson.parquet]","ReadSchema":"struct","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(lesson_id)]","DataFilters":"[isnotnull(lesson_id#8)]"},"metrics":[{"name":"number of files read","accumulatorId":184,"metricType":"sum"},{"name":"scan time","accumulatorId":183,"metricType":"timing"},{"name":"metadata time","accumulatorId":185,"metricType":"timing"},{"name":"size of files read","accumulatorId":186,"metricType":"size"},{"name":"number of output rows","accumulatorId":182,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":181,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":180,"metricType":"timing"},{"name":"time to build","accumulatorId":179,"metricType":"timing"},{"name":"time to collect","accumulatorId":178,"metricType":"timing"},{"name":"number of output rows","accumulatorId":177,"metricType":"sum"},{"name":"data size","accumulatorId":176,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":170,"metricType":"sum"}]}],"metadata":{},"metrics":[]},{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=71]","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#16)","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [course_id#16,title#17] Batched: true, DataFilters: [isnotnull(course_id#16)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/ch_core/core_dim_course.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/ch_core/core_dim_course.parquet]","ReadSchema":"struct","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#16)]"},"metrics":[{"name":"number of files read","accumulatorId":195,"metricType":"sum"},{"name":"scan time","accumulatorId":194,"metricType":"timing"},{"name":"metadata time","accumulatorId":196,"metricType":"timing"},{"name":"size of files read","accumulatorId":197,"metricType":"size"},{"name":"number of output rows","accumulatorId":193,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":192,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":191,"metricType":"timing"},{"name":"time to build","accumulatorId":190,"metricType":"timing"},{"name":"time to collect","accumulatorId":189,"metricType":"timing"},{"name":"number of output rows","accumulatorId":188,"metricType":"sum"},{"name":"data size","accumulatorId":187,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":169,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":166,"metricType":"timing"},{"name":"peak memory","accumulatorId":167,"metricType":"size"},{"name":"spill size","accumulatorId":168,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":165,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":163,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":157,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":164,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":158,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":155,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":152,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":161,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":154,"metricType":"sum"},{"name":"records read","accumulatorId":151,"metricType":"sum"},{"name":"local bytes read","accumulatorId":149,"metricType":"size"},{"name":"fetch wait 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memory","accumulatorId":141,"metricType":"size"},{"name":"spill size","accumulatorId":142,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":139,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":138,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":136,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":130,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":137,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":131,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":128,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":125,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":134,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":127,"metricType":"sum"},{"name":"records 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written","accumulatorId":135,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":113,"metricType":"timing"},{"name":"peak memory","accumulatorId":114,"metricType":"size"},{"name":"spill size","accumulatorId":115,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":112,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"task commit time","accumulatorId":110,"metricType":"timing"},{"name":"number of written files","accumulatorId":106,"metricType":"sum"},{"name":"job commit time","accumulatorId":111,"metricType":"timing"},{"name":"number of output rows","accumulatorId":108,"metricType":"sum"},{"name":"number of dynamic part","accumulatorId":109,"metricType":"sum"},{"name":"written output","accumulatorId":107,"metricType":"size"}]}],"metadata":{},"metrics":[]},"time":1783414897718,"modifiedConfigs":{},"jobTags":[]} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (46)\n+- == Current Plan ==\n Execute InsertIntoHadoopFsRelationCommand (26)\n +- WriteFiles (25)\n +- SortAggregate (24)\n +- Sort (23)\n +- Exchange (22)\n +- SortAggregate (21)\n +- SortAggregate (20)\n +- Sort (19)\n +- Exchange (18)\n +- SortAggregate (17)\n +- Sort (16)\n +- Project (15)\n +- BroadcastHashJoin LeftOuter BuildRight (14)\n :- Project (8)\n : +- BroadcastHashJoin LeftOuter BuildRight (7)\n : :- Scan parquet (1)\n : +- BroadcastQueryStage (6)\n : +- BroadcastExchange (5)\n : +- * Filter (4)\n : +- * ColumnarToRow (3)\n : +- Scan parquet (2)\n +- BroadcastQueryStage (13)\n +- BroadcastExchange (12)\n +- * Filter (11)\n +- * ColumnarToRow (10)\n +- Scan parquet (9)\n+- == Initial Plan ==\n Execute InsertIntoHadoopFsRelationCommand (45)\n +- WriteFiles (44)\n +- SortAggregate (43)\n +- Sort (42)\n +- Exchange (41)\n +- SortAggregate (40)\n +- SortAggregate (39)\n +- Sort (38)\n +- Exchange (37)\n +- SortAggregate (36)\n +- Sort (35)\n +- Project (34)\n +- BroadcastHashJoin LeftOuter BuildRight (33)\n :- Project (30)\n : +- BroadcastHashJoin LeftOuter BuildRight (29)\n : :- Scan parquet (1)\n : +- BroadcastExchange (28)\n : +- Filter (27)\n : +- Scan parquet (2)\n +- BroadcastExchange (32)\n +- Filter (31)\n +- Scan parquet (9)\n\n\n(1) Scan parquet \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_fact_lesson_views.parquet]\nReadSchema: struct\n\n(2) Scan parquet \nOutput [2]: [lesson_id#8, title#10]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_dim_lesson.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct\n\n(3) ColumnarToRow [codegen id : 1]\nInput [2]: [lesson_id#8, title#10]\n\n(4) Filter [codegen id : 1]\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(5) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=126]\n\n(6) BroadcastQueryStage\nOutput [2]: [lesson_id#8, title#10]\nArguments: 0\n\n(7) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: LeftOuter\nJoin condition: None\n\n(8) Project\nOutput [5]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10]\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, lesson_id#8, title#10]\n\n(9) Scan parquet \nOutput [2]: [course_id#16, title#17]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_dim_course.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct\n\n(10) ColumnarToRow [codegen id : 2]\nInput [2]: [course_id#16, title#17]\n\n(11) Filter [codegen id : 2]\nInput [2]: [course_id#16, title#17]\nCondition : isnotnull(course_id#16)\n\n(12) BroadcastExchange\nInput [2]: [course_id#16, title#17]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=143]\n\n(13) BroadcastQueryStage\nOutput [2]: [course_id#16, title#17]\nArguments: 1\n\n(14) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#16]\nJoin type: LeftOuter\nJoin condition: None\n\n(15) Project\nOutput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nInput [7]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, course_id#16, title#17]\n\n(16) Sort\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(17) SortAggregate\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [partial_max(title#10), partial_max(title#17), partial_count(user_id#0), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(18) Exchange\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=155]\n\n(19) Sort\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(20) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(21) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\n\n(22) Exchange\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=159]\n\n(23) Sort\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST], false, 0\n\n(24) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [max(title#10), max(title#17), count(user_id#0), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, max(title#10)#81 AS lesson_title#82, course_id#2, max(title#17)#79 AS course_title#80, count(user_id#0)#83L AS total_views#84L, count(user_id#0)#90L AS unique_users#85L, min(viewed_at#3)#86 AS first_view#87, max(viewed_at#3)#88 AS last_view#89]\n\n(25) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#82, course_id#2, course_title#80, total_views#84L, unique_users#85L, first_view#87, last_view#89]\n\n(26) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(27) Filter\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(28) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=67]\n\n(29) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: LeftOuter\nJoin condition: None\n\n(30) Project\nOutput [5]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10]\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, lesson_id#8, title#10]\n\n(31) Filter\nInput [2]: [course_id#16, title#17]\nCondition : isnotnull(course_id#16)\n\n(32) BroadcastExchange\nInput [2]: [course_id#16, title#17]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=71]\n\n(33) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#16]\nJoin type: LeftOuter\nJoin condition: None\n\n(34) Project\nOutput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nInput [7]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, course_id#16, title#17]\n\n(35) Sort\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(36) SortAggregate\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [partial_max(title#10), partial_max(title#17), partial_count(user_id#0), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(37) Exchange\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=78]\n\n(38) Sort\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(39) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(40) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\n\n(41) Exchange\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=83]\n\n(42) Sort\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST], false, 0\n\n(43) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [max(title#10), max(title#17), count(user_id#0), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, max(title#10)#81 AS lesson_title#82, course_id#2, max(title#17)#79 AS course_title#80, count(user_id#0)#83L AS total_views#84L, count(user_id#0)#90L AS unique_users#85L, min(viewed_at#3)#86 AS first_view#87, max(viewed_at#3)#88 AS last_view#89]\n\n(44) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#82, course_id#2, course_title#80, total_views#84L, unique_users#85L, first_view#87, last_view#89]\n\n(45) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(46) 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_ch/lesson_popularity_summary.parquet, false, Parquet, 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Values":true,"Metadata":"sql"},{"ID":262,"Name":"duration","Update":"433","Value":"433","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":263,"Name":"number of output rows","Update":"18","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":264,"Name":"number of output rows","Update":"18","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":265,"Name":"number of input batches","Update":"1","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":275,"Name":"internal.metrics.executorDeserializeTime","Update":143,"Value":143,"Internal":true,"Count Failed Values":true},{"ID":276,"Name":"internal.metrics.executorDeserializeCpuTime","Update":101738749,"Value":101738749,"Internal":true,"Count Failed Values":true},{"ID":277,"Name":"internal.metrics.executorRunTime","Update":677,"Value":677,"Internal":true,"Count Failed Values":true},{"ID":278,"Name":"internal.metrics.executorCpuTime","Update":344592805,"Value":344592805,"Internal":true,"Count Failed Values":true},{"ID":279,"Name":"internal.metrics.resultSize","Update":2529,"Value":2529,"Internal":true,"Count Failed Values":true},{"ID":281,"Name":"internal.metrics.resultSerializationTime","Update":1,"Value":1,"Internal":true,"Count Failed Values":true},{"ID":306,"Name":"internal.metrics.input.bytesRead","Update":5411,"Value":5411,"Internal":true,"Count Failed Values":true},{"ID":307,"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":143,"Executor Deserialize CPU Time":101738749,"Executor Run Time":677,"Executor CPU Time":344592805,"Peak Execution Memory":0,"Result Size":2529,"JVM GC Time":0,"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":0,"Shuffle Write Time":0,"Shuffle Records Written":0},"Input Metrics":{"Bytes Read":5411,"Records Read":18},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}} {"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":3,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":13,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"15\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[11],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":11,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"16\",\"name\":\"WholeStageCodegen (1)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[9],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":9,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"25\",\"name\":\"Scan parquet \"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[6],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":6,"Name":"FileScanRDD","Scope":"{\"id\":\"25\",\"name\":\"Scan parquet \"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[],"Details":"org.apache.spark.sql.execution.SQLExecution$.$anonfun$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":1783414898082,"Completion Time":1783414898927,"Accumulables":[{"ID":182,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":183,"Name":"scan time","Value":"429","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":262,"Name":"duration","Value":"433","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":263,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":264,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":265,"Name":"number of input batches","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":275,"Name":"internal.metrics.executorDeserializeTime","Value":143,"Internal":true,"Count Failed Values":true},{"ID":276,"Name":"internal.metrics.executorDeserializeCpuTime","Value":101738749,"Internal":true,"Count Failed Values":true},{"ID":277,"Name":"internal.metrics.executorRunTime","Value":677,"Internal":true,"Count Failed Values":true},{"ID":278,"Name":"internal.metrics.executorCpuTime","Value":344592805,"Internal":true,"Count Failed Values":true},{"ID":279,"Name":"internal.metrics.resultSize","Value":2529,"Internal":true,"Count Failed Values":true},{"ID":281,"Name":"internal.metrics.resultSerializationTime","Value":1,"Internal":true,"Count Failed Values":true},{"ID":306,"Name":"internal.metrics.input.bytesRead","Value":5411,"Internal":true,"Count Failed Values":true},{"ID":307,"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":3,"Completion Time":1783414898927,"Job Result":{"Result":"JobSucceeded"}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[270,6],[269,35],[268,1157],[267,5],[266,2098160]]} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[261,9],[260,34],[259,1164],[258,18],[257,2098160]]} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (49)\n+- == Current Plan ==\n Execute InsertIntoHadoopFsRelationCommand (28)\n +- WriteFiles (27)\n +- SortAggregate (26)\n +- Sort (25)\n +- Exchange (24)\n +- SortAggregate (23)\n +- SortAggregate (22)\n +- Sort (21)\n +- ShuffleQueryStage (20)\n +- Exchange (19)\n +- SortAggregate (18)\n +- * Sort (17)\n +- * Project (16)\n +- * BroadcastHashJoin LeftOuter BuildRight (15)\n :- * Project (9)\n : +- * BroadcastHashJoin LeftOuter BuildRight (8)\n : :- * ColumnarToRow (2)\n : : +- Scan parquet (1)\n : +- BroadcastQueryStage (7), Statistics(sizeInBytes=2.0 MiB, rowCount=18)\n : +- BroadcastExchange (6)\n : +- * Filter (5)\n : +- * ColumnarToRow (4)\n : +- Scan parquet (3)\n +- BroadcastQueryStage (14), Statistics(sizeInBytes=2.0 MiB, rowCount=5)\n +- BroadcastExchange (13)\n +- * Filter (12)\n +- * ColumnarToRow (11)\n +- Scan parquet (10)\n+- == Initial Plan ==\n Execute InsertIntoHadoopFsRelationCommand (48)\n +- WriteFiles (47)\n +- SortAggregate (46)\n +- Sort (45)\n +- Exchange (44)\n +- SortAggregate (43)\n +- SortAggregate (42)\n +- Sort (41)\n +- Exchange (40)\n +- SortAggregate (39)\n +- Sort (38)\n +- Project (37)\n +- BroadcastHashJoin LeftOuter BuildRight (36)\n :- Project (33)\n : +- BroadcastHashJoin LeftOuter BuildRight (32)\n : :- Scan parquet (29)\n : +- BroadcastExchange (31)\n : +- Filter (30)\n : +- Scan parquet (3)\n +- BroadcastExchange (35)\n +- Filter (34)\n +- Scan parquet (10)\n\n\n(1) Scan parquet \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_fact_lesson_views.parquet]\nReadSchema: struct\n\n(2) ColumnarToRow [codegen id : 3]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\n\n(3) Scan parquet \nOutput [2]: [lesson_id#8, title#10]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_dim_lesson.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct\n\n(4) ColumnarToRow [codegen id : 1]\nInput [2]: [lesson_id#8, title#10]\n\n(5) Filter [codegen id : 1]\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(6) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=126]\n\n(7) BroadcastQueryStage\nOutput [2]: [lesson_id#8, title#10]\nArguments: 0\n\n(8) BroadcastHashJoin [codegen id : 3]\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: LeftOuter\nJoin condition: None\n\n(9) Project [codegen id : 3]\nOutput [5]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10]\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, lesson_id#8, title#10]\n\n(10) Scan parquet \nOutput [2]: [course_id#16, title#17]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_dim_course.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct\n\n(11) ColumnarToRow [codegen id : 2]\nInput [2]: [course_id#16, title#17]\n\n(12) Filter [codegen id : 2]\nInput [2]: [course_id#16, title#17]\nCondition : isnotnull(course_id#16)\n\n(13) BroadcastExchange\nInput [2]: [course_id#16, title#17]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=143]\n\n(14) BroadcastQueryStage\nOutput [2]: [course_id#16, title#17]\nArguments: 1\n\n(15) BroadcastHashJoin [codegen id : 3]\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#16]\nJoin type: LeftOuter\nJoin condition: None\n\n(16) Project [codegen id : 3]\nOutput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nInput [7]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, course_id#16, title#17]\n\n(17) Sort [codegen id : 3]\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(18) SortAggregate\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [partial_max(title#10), partial_max(title#17), partial_count(user_id#0), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(19) Exchange\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=321]\n\n(20) ShuffleQueryStage\nOutput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: 2\n\n(21) Sort\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(22) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(23) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\n\n(24) Exchange\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=345]\n\n(25) Sort\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST], false, 0\n\n(26) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [max(title#10), max(title#17), count(user_id#0), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, max(title#10)#81 AS lesson_title#82, course_id#2, max(title#17)#79 AS course_title#80, count(user_id#0)#83L AS total_views#84L, count(user_id#0)#90L AS unique_users#85L, min(viewed_at#3)#86 AS first_view#87, max(viewed_at#3)#88 AS last_view#89]\n\n(27) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#82, course_id#2, course_title#80, total_views#84L, unique_users#85L, first_view#87, last_view#89]\n\n(28) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(29) Scan parquet \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_fact_lesson_views.parquet]\nReadSchema: struct\n\n(30) Filter\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(31) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=67]\n\n(32) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: LeftOuter\nJoin condition: None\n\n(33) Project\nOutput [5]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10]\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, lesson_id#8, title#10]\n\n(34) Filter\nInput [2]: [course_id#16, title#17]\nCondition : isnotnull(course_id#16)\n\n(35) BroadcastExchange\nInput [2]: [course_id#16, title#17]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=71]\n\n(36) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#16]\nJoin type: LeftOuter\nJoin condition: None\n\n(37) Project\nOutput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nInput [7]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, course_id#16, title#17]\n\n(38) Sort\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(39) SortAggregate\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [partial_max(title#10), partial_max(title#17), partial_count(user_id#0), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(40) Exchange\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=78]\n\n(41) Sort\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(42) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(43) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\n\n(44) Exchange\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=83]\n\n(45) Sort\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST], false, 0\n\n(46) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [max(title#10), max(title#17), count(user_id#0), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, max(title#10)#81 AS lesson_title#82, course_id#2, max(title#17)#79 AS course_title#80, count(user_id#0)#83L AS total_views#84L, count(user_id#0)#90L AS unique_users#85L, 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Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1783414899182,"Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0},"Properties":{"spark.driver.port":"42993","spark.submit.pyFiles":"","spark.app.startTime":"1783414873302","spark.rdd.scope":"{\"id\":\"35\",\"name\":\"Exchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.app.submitTime":"1783414872436","spark.eventLog.dir":"file:/opt/spark-events","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_summary_ch","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-20260707130114-0074","spark.eventLog.compress":"true","spark.eventLog.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":5,"Stage Attempt ID":0,"Task Info":{"Task ID":5,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1783414899205,"Executor ID":"0","Host":"172.28.0.49","Locality":"PROCESS_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":0,"Failed":false,"Killed":false,"Accumulables":[]}} {"Event":"SparkListenerTaskEnd","Stage ID":5,"Stage Attempt ID":0,"Task Type":"ShuffleMapTask","Task End Reason":{"Reason":"Success"},"Task Info":{"Task ID":5,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1783414899205,"Executor ID":"0","Host":"172.28.0.49","Locality":"PROCESS_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":1783414900234,"Failed":false,"Killed":false,"Accumulables":[{"ID":382,"Name":"data size","Update":"9752","Value":"9752","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":401,"Name":"shuffle 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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":1783414899182,"Completion Time":1783414900242,"Accumulables":[{"ID":382,"Name":"data size","Value":"9752","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":401,"Name":"shuffle bytes written","Value":"9049","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":402,"Name":"shuffle records written","Value":"55","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":403,"Name":"shuffle write time","Value":"28280235","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":404,"Name":"number of output rows","Value":"55","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":405,"Name":"duration","Value":"689","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":406,"Name":"sort time","Value":"7","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":407,"Name":"peak memory","Value":"4259824","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":408,"Name":"spill size","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":409,"Name":"number of output rows","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":410,"Name":"number of output rows","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":411,"Name":"number of output rows","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":412,"Name":"number of input batches","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":413,"Name":"number of output rows","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":414,"Name":"scan time","Value":"135","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":418,"Name":"internal.metrics.executorDeserializeTime","Value":225,"Internal":true,"Count Failed Values":true},{"ID":419,"Name":"internal.metrics.executorDeserializeCpuTime","Value":154068026,"Internal":true,"Count Failed Values":true},{"ID":420,"Name":"internal.metrics.executorRunTime","Value":786,"Internal":true,"Count Failed Values":true},{"ID":421,"Name":"internal.metrics.executorCpuTime","Value":604792088,"Internal":true,"Count Failed Values":true},{"ID":422,"Name":"internal.metrics.resultSize","Value":4511,"Internal":true,"Count Failed Values":true},{"ID":424,"Name":"internal.metrics.resultSerializationTime","Value":1,"Internal":true,"Count Failed Values":true},{"ID":427,"Name":"internal.metrics.peakExecutionMemory","Value":12650448,"Internal":true,"Count Failed Values":true},{"ID":446,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":9049,"Internal":true,"Count Failed Values":true},{"ID":447,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":55,"Internal":true,"Count Failed Values":true},{"ID":448,"Name":"internal.metrics.shuffle.write.writeTime","Value":28280235,"Internal":true,"Count Failed Values":true},{"ID":449,"Name":"internal.metrics.input.bytesRead","Value":3075,"Internal":true,"Count Failed Values":true},{"ID":450,"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":5,"Completion Time":1783414900249,"Job Result":{"Result":"JobSucceeded"}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (51)\n+- == Current Plan ==\n Execute InsertIntoHadoopFsRelationCommand (30)\n +- WriteFiles (29)\n +- SortAggregate (28)\n +- Sort (27)\n +- ShuffleQueryStage (26)\n +- Exchange (25)\n +- SortAggregate (24)\n +- SortAggregate (23)\n +- * Sort (22)\n +- AQEShuffleRead (21)\n +- ShuffleQueryStage (20), Statistics(sizeInBytes=9.5 KiB, rowCount=55)\n +- Exchange (19)\n +- SortAggregate (18)\n +- * Sort (17)\n +- * Project (16)\n +- * BroadcastHashJoin LeftOuter BuildRight (15)\n :- * Project (9)\n : +- * BroadcastHashJoin LeftOuter BuildRight (8)\n : :- * ColumnarToRow (2)\n : : +- Scan parquet (1)\n : +- BroadcastQueryStage (7), Statistics(sizeInBytes=2.0 MiB, rowCount=18)\n : +- BroadcastExchange (6)\n : +- * Filter (5)\n : +- * ColumnarToRow (4)\n : +- Scan parquet (3)\n +- BroadcastQueryStage (14), Statistics(sizeInBytes=2.0 MiB, rowCount=5)\n +- BroadcastExchange (13)\n +- * Filter (12)\n +- * ColumnarToRow (11)\n +- Scan parquet (10)\n+- == Initial Plan ==\n Execute InsertIntoHadoopFsRelationCommand (50)\n +- WriteFiles (49)\n +- SortAggregate (48)\n +- Sort (47)\n +- Exchange (46)\n +- SortAggregate (45)\n +- SortAggregate (44)\n +- Sort (43)\n +- Exchange (42)\n +- SortAggregate (41)\n +- Sort (40)\n +- Project (39)\n +- BroadcastHashJoin LeftOuter BuildRight (38)\n :- Project (35)\n : +- BroadcastHashJoin LeftOuter BuildRight (34)\n : :- Scan parquet (31)\n : +- BroadcastExchange (33)\n : +- Filter (32)\n : +- Scan parquet (3)\n +- BroadcastExchange (37)\n +- Filter (36)\n +- Scan parquet (10)\n\n\n(1) Scan parquet \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_fact_lesson_views.parquet]\nReadSchema: struct\n\n(2) ColumnarToRow [codegen id : 3]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\n\n(3) Scan parquet \nOutput [2]: [lesson_id#8, title#10]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_dim_lesson.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct\n\n(4) ColumnarToRow [codegen id : 1]\nInput [2]: [lesson_id#8, title#10]\n\n(5) Filter [codegen id : 1]\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(6) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=126]\n\n(7) BroadcastQueryStage\nOutput [2]: [lesson_id#8, title#10]\nArguments: 0\n\n(8) BroadcastHashJoin [codegen id : 3]\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: LeftOuter\nJoin condition: None\n\n(9) Project [codegen id : 3]\nOutput [5]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10]\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, lesson_id#8, title#10]\n\n(10) Scan parquet \nOutput [2]: [course_id#16, title#17]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_dim_course.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct\n\n(11) ColumnarToRow [codegen id : 2]\nInput [2]: [course_id#16, title#17]\n\n(12) Filter [codegen id : 2]\nInput [2]: [course_id#16, title#17]\nCondition : isnotnull(course_id#16)\n\n(13) BroadcastExchange\nInput [2]: [course_id#16, title#17]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=143]\n\n(14) BroadcastQueryStage\nOutput [2]: [course_id#16, title#17]\nArguments: 1\n\n(15) BroadcastHashJoin [codegen id : 3]\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#16]\nJoin type: LeftOuter\nJoin condition: None\n\n(16) Project [codegen id : 3]\nOutput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nInput [7]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, course_id#16, title#17]\n\n(17) Sort [codegen id : 3]\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(18) SortAggregate\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [partial_max(title#10), partial_max(title#17), partial_count(user_id#0), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(19) Exchange\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=321]\n\n(20) ShuffleQueryStage\nOutput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: 2\n\n(21) AQEShuffleRead\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: coalesced\n\n(22) Sort [codegen id : 4]\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(23) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(24) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\n\n(25) Exchange\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=375]\n\n(26) ShuffleQueryStage\nOutput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: 3\n\n(27) Sort\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST], false, 0\n\n(28) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [max(title#10), max(title#17), count(user_id#0), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, max(title#10)#81 AS lesson_title#82, course_id#2, max(title#17)#79 AS course_title#80, count(user_id#0)#83L AS total_views#84L, count(user_id#0)#90L AS unique_users#85L, min(viewed_at#3)#86 AS first_view#87, max(viewed_at#3)#88 AS last_view#89]\n\n(29) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#82, course_id#2, course_title#80, total_views#84L, unique_users#85L, first_view#87, last_view#89]\n\n(30) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(31) Scan parquet \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_fact_lesson_views.parquet]\nReadSchema: struct\n\n(32) Filter\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(33) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=67]\n\n(34) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: LeftOuter\nJoin condition: None\n\n(35) Project\nOutput [5]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10]\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, lesson_id#8, title#10]\n\n(36) Filter\nInput [2]: [course_id#16, title#17]\nCondition : isnotnull(course_id#16)\n\n(37) BroadcastExchange\nInput [2]: [course_id#16, title#17]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=71]\n\n(38) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#16]\nJoin type: LeftOuter\nJoin condition: None\n\n(39) Project\nOutput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nInput [7]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, course_id#16, title#17]\n\n(40) Sort\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(41) SortAggregate\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [partial_max(title#10), partial_max(title#17), partial_count(user_id#0), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(42) Exchange\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=78]\n\n(43) Sort\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(44) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(45) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\n\n(46) Exchange\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=83]\n\n(47) Sort\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST], false, 0\n\n(48) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [max(title#10), max(title#17), count(user_id#0), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, max(title#10)#81 AS lesson_title#82, course_id#2, max(title#17)#79 AS course_title#80, count(user_id#0)#83L AS total_views#84L, count(user_id#0)#90L AS unique_users#85L, min(viewed_at#3)#86 AS first_view#87, max(viewed_at#3)#88 AS last_view#89]\n\n(49) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#82, course_id#2, course_title#80, total_views#84L, unique_users#85L, first_view#87, last_view#89]\n\n(50) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(51) 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_ch/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"SortAggregate","simpleString":"SortAggregate(key=[lesson_id#1, course_id#2], functions=[max(title#10), max(title#17), count(user_id#0), 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(4)","children":[{"nodeName":"Sort","simpleString":"Sort [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 2","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=321]","children":[{"nodeName":"SortAggregate","simpleString":"SortAggregate(key=[lesson_id#1, course_id#2, user_id#0], functions=[partial_max(title#10), partial_max(title#17), partial_count(user_id#0), partial_min(viewed_at#3), partial_max(viewed_at#3)])","children":[{"nodeName":"WholeStageCodegen (3)","simpleString":"WholeStageCodegen (3)","children":[{"nodeName":"Sort","simpleString":"Sort [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0","children":[{"nodeName":"Project","simpleString":"Project [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#2], [course_id#16], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [lesson_id#1], [lesson_id#8], LeftOuter, BuildRight, false","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [user_id#0,lesson_id#1,course_id#2,viewed_at#3] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/ch_core/core_fact_lesson_views.parquet], PartitionFilters: [], PushedFilters: [], ReadSchema: struct","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/ch_core/core_fact_lesson_views.parquet]","ReadSchema":"struct","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[]","DataFilters":"[]"},"metrics":[{"name":"number of files read","accumulatorId":415,"metricType":"sum"},{"name":"scan time","accumulatorId":414,"metricType":"timing"},{"name":"metadata time","accumulatorId":416,"metricType":"timing"},{"name":"size of files read","accumulatorId":417,"metricType":"size"},{"name":"number of output rows","accumulatorId":413,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":411,"metricType":"sum"},{"name":"number of input batches","accumulatorId":412,"metricType":"sum"}]},{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 0","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=126]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(lesson_id#8)","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [lesson_id#8,title#10] Batched: true, DataFilters: [isnotnull(lesson_id#8)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/ch_core/core_dim_lesson.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id)], ReadSchema: struct","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/ch_core/core_dim_lesson.parquet]","ReadSchema":"struct","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(lesson_id)]","DataFilters":"[isnotnull(lesson_id#8)]"},"metrics":[{"name":"number of files read","accumulatorId":184,"metricType":"sum"},{"name":"scan time","accumulatorId":183,"metricType":"timing"},{"name":"metadata time","accumulatorId":185,"metricType":"timing"},{"name":"size of files read","accumulatorId":186,"metricType":"size"},{"name":"number of output rows","accumulatorId":182,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":264,"metricType":"sum"},{"name":"number of input batches","accumulatorId":265,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":263,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":262,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":261,"metricType":"timing"},{"name":"time to build","accumulatorId":260,"metricType":"timing"},{"name":"time to collect","accumulatorId":259,"metricType":"timing"},{"name":"number of output rows","accumulatorId":258,"metricType":"sum"},{"name":"data size","accumulatorId":257,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":410,"metricType":"sum"}]}],"metadata":{},"metrics":[]},{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 1","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), 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Values":true,"Metadata":"sql"},{"ID":486,"Name":"number of output rows","Update":"55","Value":"55","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":487,"Name":"duration","Update":"161","Value":"161","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":488,"Name":"sort time","Update":"0","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":489,"Name":"peak memory","Update":"4259824","Value":"4259824","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":490,"Name":"spill size","Update":"0","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":494,"Name":"internal.metrics.executorDeserializeTime","Update":51,"Value":51,"Internal":true,"Count Failed Values":true},{"ID":495,"Name":"internal.metrics.executorDeserializeCpuTime","Update":35857012,"Value":35857012,"Internal":true,"Count Failed Values":true},{"ID":496,"Name":"internal.metrics.executorRunTime","Update":285,"Value":285,"Internal":true,"Count Failed Values":true},{"ID":497,"Name":"internal.metrics.executorCpuTime","Update":246998383,"Value":246998383,"Internal":true,"Count Failed Values":true},{"ID":498,"Name":"internal.metrics.resultSize","Update":7151,"Value":7151,"Internal":true,"Count Failed Values":true},{"ID":503,"Name":"internal.metrics.peakExecutionMemory","Update":4259824,"Value":4259824,"Internal":true,"Count Failed Values":true},{"ID":505,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":506,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Update":1,"Value":1,"Internal":true,"Count Failed Values":true},{"ID":507,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":508,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":509,"Name":"internal.metrics.shuffle.read.localBytesRead","Update":9049,"Value":9049,"Internal":true,"Count Failed Values":true},{"ID":510,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":511,"Name":"internal.metrics.shuffle.read.recordsRead","Update":55,"Value":55,"Internal":true,"Count Failed Values":true},{"ID":512,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":513,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":514,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":515,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":516,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":517,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":518,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":519,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":520,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":521,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":522,"Name":"internal.metrics.shuffle.write.bytesWritten","Update":2653,"Value":2653,"Internal":true,"Count Failed Values":true},{"ID":523,"Name":"internal.metrics.shuffle.write.recordsWritten","Update":15,"Value":15,"Internal":true,"Count Failed Values":true},{"ID":524,"Name":"internal.metrics.shuffle.write.writeTime","Update":8098670,"Value":8098670,"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":51,"Executor Deserialize CPU Time":35857012,"Executor Run Time":285,"Executor CPU Time":246998383,"Peak Execution Memory":4259824,"Result Size":7151,"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":9049,"Total Records Read":55,"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":2653,"Shuffle Write Time":8098670,"Shuffle Records Written":15},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}} {"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":7,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":23,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"50\",\"name\":\"Exchange\"}","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},{"RDD ID":22,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"51\",\"name\":\"SortAggregate\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[21],"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":21,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"52\",\"name\":\"SortAggregate\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[20],"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":19,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"56\",\"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":20,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"53\",\"name\":\"WholeStageCodegen (4)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[19],"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":[6],"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":1783414900391,"Completion Time":1783414900758,"Accumulables":[{"ID":385,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":388,"Name":"local bytes read","Value":"9049","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":389,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":390,"Name":"records read","Value":"55","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":463,"Name":"data size","Value":"2512","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":482,"Name":"shuffle bytes written","Value":"2653","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":483,"Name":"shuffle records written","Value":"15","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":484,"Name":"shuffle write time","Value":"8098670","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":485,"Name":"number of output rows","Value":"15","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":486,"Name":"number of output rows","Value":"55","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":487,"Name":"duration","Value":"161","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":488,"Name":"sort time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":489,"Name":"peak memory","Value":"4259824","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":490,"Name":"spill size","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":494,"Name":"internal.metrics.executorDeserializeTime","Value":51,"Internal":true,"Count Failed Values":true},{"ID":495,"Name":"internal.metrics.executorDeserializeCpuTime","Value":35857012,"Internal":true,"Count Failed Values":true},{"ID":496,"Name":"internal.metrics.executorRunTime","Value":285,"Internal":true,"Count Failed Values":true},{"ID":497,"Name":"internal.metrics.executorCpuTime","Value":246998383,"Internal":true,"Count Failed Values":true},{"ID":498,"Name":"internal.metrics.resultSize","Value":7151,"Internal":true,"Count Failed Values":true},{"ID":503,"Name":"internal.metrics.peakExecutionMemory","Value":4259824,"Internal":true,"Count Failed Values":true},{"ID":505,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":506,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":507,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":508,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":509,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":9049,"Internal":true,"Count Failed Values":true},{"ID":510,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":511,"Name":"internal.metrics.shuffle.read.recordsRead","Value":55,"Internal":true,"Count Failed Values":true},{"ID":512,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":513,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":514,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":515,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":516,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":517,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":518,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":519,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":520,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":521,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":522,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":2653,"Internal":true,"Count Failed Values":true},{"ID":523,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":15,"Internal":true,"Count Failed Values":true},{"ID":524,"Name":"internal.metrics.shuffle.write.writeTime","Value":8098670,"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":1783414900760,"Job Result":{"Result":"JobSucceeded"}} {"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (52)\n+- == Final Plan ==\n Execute InsertIntoHadoopFsRelationCommand (31)\n +- WriteFiles (30)\n +- SortAggregate (29)\n +- * Sort (28)\n +- AQEShuffleRead (27)\n +- ShuffleQueryStage (26), Statistics(sizeInBytes=2.5 KiB, rowCount=15)\n +- Exchange (25)\n +- SortAggregate (24)\n +- SortAggregate (23)\n +- * Sort (22)\n +- AQEShuffleRead (21)\n +- ShuffleQueryStage (20), Statistics(sizeInBytes=9.5 KiB, rowCount=55)\n +- Exchange (19)\n +- SortAggregate (18)\n +- * Sort (17)\n +- * Project (16)\n +- * BroadcastHashJoin LeftOuter BuildRight (15)\n :- * Project (9)\n : +- * BroadcastHashJoin LeftOuter BuildRight (8)\n : :- * ColumnarToRow (2)\n : : +- Scan parquet (1)\n : +- BroadcastQueryStage (7), Statistics(sizeInBytes=2.0 MiB, rowCount=18)\n : +- BroadcastExchange (6)\n : +- * Filter (5)\n : +- * ColumnarToRow (4)\n : +- Scan parquet (3)\n +- BroadcastQueryStage (14), Statistics(sizeInBytes=2.0 MiB, rowCount=5)\n +- BroadcastExchange (13)\n +- * Filter (12)\n +- * ColumnarToRow (11)\n +- Scan parquet (10)\n+- == Initial Plan ==\n Execute InsertIntoHadoopFsRelationCommand (51)\n +- WriteFiles (50)\n +- SortAggregate (49)\n +- Sort (48)\n +- Exchange (47)\n +- SortAggregate (46)\n +- SortAggregate (45)\n +- Sort (44)\n +- Exchange (43)\n +- SortAggregate (42)\n +- Sort (41)\n +- Project (40)\n +- BroadcastHashJoin LeftOuter BuildRight (39)\n :- Project (36)\n : +- BroadcastHashJoin LeftOuter BuildRight (35)\n : :- Scan parquet (32)\n : +- BroadcastExchange (34)\n : +- Filter (33)\n : +- Scan parquet (3)\n +- BroadcastExchange (38)\n +- Filter (37)\n +- Scan parquet (10)\n\n\n(1) Scan parquet \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_fact_lesson_views.parquet]\nReadSchema: struct\n\n(2) ColumnarToRow [codegen id : 3]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\n\n(3) Scan parquet \nOutput [2]: [lesson_id#8, title#10]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_dim_lesson.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct\n\n(4) ColumnarToRow [codegen id : 1]\nInput [2]: [lesson_id#8, title#10]\n\n(5) Filter [codegen id : 1]\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(6) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=126]\n\n(7) BroadcastQueryStage\nOutput [2]: [lesson_id#8, title#10]\nArguments: 0\n\n(8) BroadcastHashJoin [codegen id : 3]\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: LeftOuter\nJoin condition: None\n\n(9) Project [codegen id : 3]\nOutput [5]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10]\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, lesson_id#8, title#10]\n\n(10) Scan parquet \nOutput [2]: [course_id#16, title#17]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_dim_course.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct\n\n(11) ColumnarToRow [codegen id : 2]\nInput [2]: [course_id#16, title#17]\n\n(12) Filter [codegen id : 2]\nInput [2]: [course_id#16, title#17]\nCondition : isnotnull(course_id#16)\n\n(13) BroadcastExchange\nInput [2]: [course_id#16, title#17]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=143]\n\n(14) BroadcastQueryStage\nOutput [2]: [course_id#16, title#17]\nArguments: 1\n\n(15) BroadcastHashJoin [codegen id : 3]\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#16]\nJoin type: LeftOuter\nJoin condition: None\n\n(16) Project [codegen id : 3]\nOutput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nInput [7]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, course_id#16, title#17]\n\n(17) Sort [codegen id : 3]\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(18) SortAggregate\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [partial_max(title#10), partial_max(title#17), partial_count(user_id#0), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(19) Exchange\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=321]\n\n(20) ShuffleQueryStage\nOutput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: 2\n\n(21) AQEShuffleRead\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: coalesced\n\n(22) Sort [codegen id : 4]\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(23) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(24) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\n\n(25) Exchange\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=375]\n\n(26) ShuffleQueryStage\nOutput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: 3\n\n(27) AQEShuffleRead\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: coalesced\n\n(28) Sort [codegen id : 5]\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST], false, 0\n\n(29) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [max(title#10), max(title#17), count(user_id#0), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, max(title#10)#81 AS lesson_title#82, course_id#2, max(title#17)#79 AS course_title#80, count(user_id#0)#83L AS total_views#84L, count(user_id#0)#90L AS unique_users#85L, min(viewed_at#3)#86 AS first_view#87, max(viewed_at#3)#88 AS last_view#89]\n\n(30) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#82, course_id#2, course_title#80, total_views#84L, unique_users#85L, first_view#87, last_view#89]\n\n(31) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(32) Scan parquet \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/ch_core/core_fact_lesson_views.parquet]\nReadSchema: struct\n\n(33) Filter\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(34) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=67]\n\n(35) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: LeftOuter\nJoin condition: None\n\n(36) Project\nOutput [5]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10]\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, lesson_id#8, title#10]\n\n(37) Filter\nInput [2]: [course_id#16, title#17]\nCondition : isnotnull(course_id#16)\n\n(38) BroadcastExchange\nInput [2]: [course_id#16, title#17]\nArguments: HashedRelationBroadcastMode(List(input[0, decimal(20,0), false]),false), [plan_id=71]\n\n(39) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#16]\nJoin type: LeftOuter\nJoin condition: None\n\n(40) Project\nOutput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nInput [7]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, course_id#16, title#17]\n\n(41) Sort\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(42) SortAggregate\nInput [6]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3, title#10, title#17]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [partial_max(title#10), partial_max(title#17), partial_count(user_id#0), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(43) Exchange\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=78]\n\n(44) Sort\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST, user_id#0 ASC NULLS FIRST], false, 0\n\n(45) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [5]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [5]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88]\nResults [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\n\n(46) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, user_id#0, max#116, max#118, count#120L, min#122, max#124]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [merge_max(title#10), merge_max(title#17), merge_count(user_id#0), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\n\n(47) Exchange\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=83]\n\n(48) Sort\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nArguments: [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC NULLS FIRST], false, 0\n\n(49) SortAggregate\nInput [8]: [lesson_id#1, course_id#2, max#116, max#118, count#120L, min#122, max#124, count#127L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [6]: [max(title#10), max(title#17), count(user_id#0), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [6]: [max(title#10)#81, max(title#17)#79, count(user_id#0)#83L, min(viewed_at#3)#86, max(viewed_at#3)#88, count(user_id#0)#90L]\nResults [8]: [lesson_id#1, max(title#10)#81 AS lesson_title#82, course_id#2, max(title#17)#79 AS course_title#80, count(user_id#0)#83L AS total_views#84L, count(user_id#0)#90L AS unique_users#85L, min(viewed_at#3)#86 AS first_view#87, max(viewed_at#3)#88 AS last_view#89]\n\n(50) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#82, course_id#2, course_title#80, total_views#84L, unique_users#85L, first_view#87, last_view#89]\n\n(51) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(52) 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_ch/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_ch/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"SortAggregate","simpleString":"SortAggregate(key=[lesson_id#1, course_id#2], functions=[max(title#10), max(title#17), count(user_id#0), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)])","children":[{"nodeName":"WholeStageCodegen (5)","simpleString":"WholeStageCodegen (5)","children":[{"nodeName":"Sort","simpleString":"Sort [lesson_id#1 ASC NULLS FIRST, course_id#2 ASC 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PushedFilters: [], ReadSchema: struct","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/ch_core/core_fact_lesson_views.parquet]","ReadSchema":"struct","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[]","DataFilters":"[]"},"metrics":[{"name":"number of files read","accumulatorId":415,"metricType":"sum"},{"name":"scan time","accumulatorId":414,"metricType":"timing"},{"name":"metadata time","accumulatorId":416,"metricType":"timing"},{"name":"size of files read","accumulatorId":417,"metricType":"size"},{"name":"number of output rows","accumulatorId":413,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":411,"metricType":"sum"},{"name":"number of input batches","accumulatorId":412,"metricType":"sum"}]},{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 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