{"Event":"SparkListenerLogStart","Spark Version":"3.5.1"}
{"Event":"SparkListenerResourceProfileAdded","Resource Profile Id":0,"Executor Resource Requests":{"memory":{"Resource Name":"memory","Amount":1024,"Discovery Script":"","Vendor":""},"offHeap":{"Resource Name":"offHeap","Amount":0,"Discovery Script":"","Vendor":""}},"Task Resource Requests":{"cpus":{"Resource Name":"cpus","Amount":1.0}}}
{"Event":"SparkListenerBlockManagerAdded","Block Manager ID":{"Executor ID":"driver","Host":"73850a3d530b","Port":40999},"Maximum Memory":455501414,"Timestamp":1782914996735,"Maximum Onheap Memory":455501414,"Maximum Offheap Memory":0}
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{"Event":"SparkListenerJobEnd","Job ID":3,"Completion Time":1782915002857,"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 (39)\n+- Execute InsertIntoHadoopFsRelationCommand (38)\n   +- WriteFiles (37)\n      +- Sort (36)\n         +- Exchange (35)\n            +- Project (34)\n               +- Project (33)\n                  +- BroadcastHashJoin LeftOuter BuildRight (32)\n                     :- Project (20)\n                     :  +- BroadcastHashJoin LeftOuter BuildRight (19)\n                     :     :- Project (12)\n                     :     :  +- BroadcastHashJoin LeftOuter BuildRight (11)\n                     :     :     :- Scan parquet  (1)\n                     :     :     +- BroadcastExchange (10)\n                     :     :        +- HashAggregate (9)\n                     :     :           +- Exchange (8)\n                     :     :              +- HashAggregate (7)\n                     :     :                 +- HashAggregate (6)\n                     :     :                    +- Exchange (5)\n                     :     :                       +- HashAggregate (4)\n                     :     :                          +- Filter (3)\n                     :     :                             +- Scan parquet  (2)\n                     :     +- BroadcastExchange (18)\n                     :        +- HashAggregate (17)\n                     :           +- Exchange (16)\n                     :              +- HashAggregate (15)\n                     :                 +- Filter (14)\n                     :                    +- Scan parquet  (13)\n                     +- BroadcastExchange (31)\n                        +- HashAggregate (30)\n                           +- Exchange (29)\n                              +- HashAggregate (28)\n                                 +- Project (27)\n                                    +- BroadcastHashJoin LeftOuter BuildRight (26)\n                                       :- Filter (22)\n                                       :  +- Scan parquet  (21)\n                                       +- BroadcastExchange (25)\n                                          +- Filter (24)\n                                             +- Scan parquet  (23)\n\n\n(1) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<id:bigint,title:string>\n\n(2) Scan parquet \nOutput [2]: [user_id#1L, course_id#2L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(3) Filter\nInput [2]: [user_id#1L, course_id#2L]\nCondition : isnotnull(course_id#2L)\n\n(4) HashAggregate\nInput [2]: [user_id#1L, course_id#2L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(5) Exchange\nInput [2]: [course_id#2L, user_id#1L]\nArguments: hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(6) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(7) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [partial_count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count#181L]\n\n(8) Exchange\nInput [2]: [course_id#2L, count#181L]\nArguments: hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(9) HashAggregate\nInput [2]: [course_id#2L, count#181L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count(user_id#1L)#39L AS unique_users#38L]\n\n(10) BroadcastExchange\nInput [2]: [course_id#2L, unique_users#38L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=138]\n\n(11) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#2L]\nJoin type: LeftOuter\nJoin condition: None\n\n(12) Project\nOutput [3]: [id#26L, title#27, unique_users#38L]\nInput [4]: [id#26L, title#27, course_id#2L, unique_users#38L]\n\n(13) Scan parquet \nOutput [1]: [course_id#9L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:bigint>\n\n(14) Filter\nInput [1]: [course_id#9L]\nCondition : isnotnull(course_id#9L)\n\n(15) HashAggregate\nInput [1]: [course_id#9L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#183L]\nResults [2]: [course_id#9L, count#184L]\n\n(16) Exchange\nInput [2]: [course_id#9L, count#184L]\nArguments: hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=141]\n\n(17) HashAggregate\nInput [2]: [course_id#9L, count#184L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#48L]\nResults [2]: [course_id#9L, count(1)#48L AS lessons_count#49L]\n\n(18) BroadcastExchange\nInput [2]: [course_id#9L, lessons_count#49L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=144]\n\n(19) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#9L]\nJoin type: LeftOuter\nJoin condition: None\n\n(20) Project\nOutput [4]: [id#26L, title#27, unique_users#38L, lessons_count#49L]\nInput [5]: [id#26L, title#27, unique_users#38L, course_id#9L, lessons_count#49L]\n\n(21) Scan parquet \nOutput [2]: [id#120L, course_id#121L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(22) Filter\nInput [2]: [id#120L, course_id#121L]\nCondition : isnotnull(course_id#121L)\n\n(23) Scan parquet \nOutput [2]: [lesson_id#20L, viewed_at#21]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:bigint,viewed_at:timestamp>\n\n(24) Filter\nInput [2]: [lesson_id#20L, viewed_at#21]\nCondition : isnotnull(lesson_id#20L)\n\n(25) BroadcastExchange\nInput [2]: [lesson_id#20L, viewed_at#21]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=147]\n\n(26) BroadcastHashJoin\nLeft keys [1]: [id#120L]\nRight keys [1]: [lesson_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(27) Project\nOutput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nInput [4]: [id#120L, course_id#121L, lesson_id#20L, viewed_at#21]\n\n(28) HashAggregate\nInput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nKeys [1]: [course_id#121L]\nFunctions [3]: [partial_count(lesson_id#20L), partial_max(viewed_at#21), partial_min(viewed_at#21)]\nAggregate Attributes [3]: [count#185L, max#186, min#187]\nResults [4]: [course_id#121L, count#188L, max#189, min#190]\n\n(29) Exchange\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: hashpartitioning(course_id#121L, 200), ENSURE_REQUIREMENTS, [plan_id=152]\n\n(30) HashAggregate\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nKeys [1]: [course_id#121L]\nFunctions [3]: [count(lesson_id#20L), max(viewed_at#21), min(viewed_at#21)]\nAggregate Attributes [3]: [count(lesson_id#20L)#81L, max(viewed_at#21)#83, min(viewed_at#21)#85]\nResults [4]: [course_id#121L, count(lesson_id#20L)#81L AS total_views#82L, max(viewed_at#21)#83 AS last_viewed_at#84, min(viewed_at#21)#85 AS first_viewed_at#86]\n\n(31) BroadcastExchange\nInput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=155]\n\n(32) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#121L]\nJoin type: LeftOuter\nJoin condition: None\n\n(33) Project\nOutput [7]: [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]\nInput [8]: [id#26L, title#27, unique_users#38L, lessons_count#49L, course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\n\n(34) Project\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]\nInput [7]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86]\n\n(35) Exchange\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=160]\n\n(36) Sort\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: [course_id#150L ASC NULLS FIRST], true, 0\n\n(37) WriteFiles\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\n\n(38) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]\n\n(39) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#150L ASC NULLS FIRST], true, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=160]","children":[{"nodeName":"Project","simpleString":"Project [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]","children":[{"nodeName":"Project","simpleString":"Project [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#26L], [course_id#121L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#26L, title#27, unique_users#38L, lessons_count#49L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#26L], [course_id#9L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#26L, title#27, unique_users#38L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#26L], [course_id#2L], LeftOuter, BuildRight, false","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [id#26L,title#27] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/courses.parquet], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<id:bigint,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/courses.parquet]","ReadSchema":"struct<id:bigint,title:string>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[]","DataFilters":"[]"},"metrics":[{"name":"number of files read","accumulatorId":177,"metricType":"sum"},{"name":"scan time","accumulatorId":176,"metricType":"timing"},{"name":"metadata time","accumulatorId":178,"metricType":"timing"},{"name":"size of files read","accumulatorId":179,"metricType":"size"},{"name":"number of output rows","accumulatorId":175,"metricType":"sum"}]},{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=138]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#2L], functions=[count(distinct user_id#1L)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=135]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#2L], functions=[partial_count(distinct user_id#1L)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#2L, user_id#1L], functions=[])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=131]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#2L, user_id#1L], functions=[])","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#2L)","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [user_id#1L,course_id#2L] Batched: true, DataFilters: [isnotnull(course_id#2L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/enrollments.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<user_id:bigint,course_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/enrollments.parquet]","ReadSchema":"struct<user_id:bigint,course_id:bigint>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#2L)]"},"metrics":[{"name":"number of files read","accumulatorId":256,"metricType":"sum"},{"name":"scan time","accumulatorId":255,"metricType":"timing"},{"name":"metadata time","accumulatorId":257,"metricType":"timing"},{"name":"size of files read","accumulatorId":258,"metricType":"size"},{"name":"number of output rows","accumulatorId":254,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output 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duration","accumulatorId":242,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":230,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":244,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":221,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":222,"metricType":"timing"},{"name":"peak memory","accumulatorId":220,"metricType":"size"},{"name":"number of output rows","accumulatorId":219,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":224,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":223,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":215,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":216,"metricType":"timing"},{"name":"peak memory","accumulatorId":214,"metricType":"size"},{"name":"number of output rows","accumulatorId":213,"metricType":"sum"},{"name":"number of sort 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[plan_id=144]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#9L], functions=[count(1)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=141]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#9L], functions=[partial_count(1)])","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#9L)","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [course_id#9L] Batched: true, DataFilters: [isnotnull(course_id#9L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<course_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.parquet]","ReadSchema":"struct<course_id:bigint>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#9L)]"},"metrics":[{"name":"number of files read","accumulatorId":301,"metricType":"sum"},{"name":"scan time","accumulatorId":300,"metricType":"timing"},{"name":"metadata time","accumulatorId":302,"metricType":"timing"},{"name":"size of files read","accumulatorId":303,"metricType":"size"},{"name":"number of output rows","accumulatorId":299,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":298,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":294,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":295,"metricType":"timing"},{"name":"peak memory","accumulatorId":293,"metricType":"size"},{"name":"number of output rows","accumulatorId":292,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":297,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":296,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":290,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":284,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":291,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":285,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":282,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":279,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":288,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":281,"metricType":"sum"},{"name":"records read","accumulatorId":278,"metricType":"sum"},{"name":"local bytes read","accumulatorId":276,"metricType":"size"},{"name":"fetch wait time","accumulatorId":277,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":274,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":280,"metricType":"sum"},{"name":"local blocks read","accumulatorId":273,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":283,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":272,"metricType":"sum"},{"name":"data size","accumulatorId":270,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":286,"metricType":"size"},{"name":"number of partitions","accumulatorId":271,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":287,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":275,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":289,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":266,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":267,"metricType":"timing"},{"name":"peak memory","accumulatorId":265,"metricType":"size"},{"name":"number of output rows","accumulatorId":264,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":269,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":268,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":263,"metricType":"timing"},{"name":"time to build","accumulatorId":262,"metricType":"timing"},{"name":"time to collect","accumulatorId":261,"metricType":"timing"},{"name":"number of output rows","accumulatorId":260,"metricType":"sum"},{"name":"data size","accumulatorId":259,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":173,"metricType":"sum"}]}],"metadata":{},"metrics":[]},{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=155]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#121L], functions=[count(lesson_id#20L), max(viewed_at#21), min(viewed_at#21)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#121L, 200), ENSURE_REQUIREMENTS, [plan_id=152]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#121L], functions=[partial_count(lesson_id#20L), partial_max(viewed_at#21), partial_min(viewed_at#21)])","children":[{"nodeName":"Project","simpleString":"Project [course_id#121L, lesson_id#20L, viewed_at#21]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#120L], [lesson_id#20L], LeftOuter, BuildRight, false","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#121L)","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [id#120L,course_id#121L] Batched: true, DataFilters: [isnotnull(course_id#121L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<id:bigint,course_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.parquet]","ReadSchema":"struct<id:bigint,course_id:bigint>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#121L)]"},"metrics":[{"name":"number of files read","accumulatorId":347,"metricType":"sum"},{"name":"scan time","accumulatorId":346,"metricType":"timing"},{"name":"metadata time","accumulatorId":348,"metricType":"timing"},{"name":"size of files read","accumulatorId":349,"metricType":"size"},{"name":"number of output rows","accumulatorId":345,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":344,"metricType":"sum"}]},{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=147]","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(lesson_id#20L)","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [lesson_id#20L,viewed_at#21] Batched: true, DataFilters: [isnotnull(lesson_id#20L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lesson_views.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id)], ReadSchema: struct<lesson_id:bigint,viewed_at:timestamp>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lesson_views.parquet]","ReadSchema":"struct<lesson_id:bigint,viewed_at:timestamp>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(lesson_id)]","DataFilters":"[isnotnull(lesson_id#20L)]"},"metrics":[{"name":"number of files read","accumulatorId":358,"metricType":"sum"},{"name":"scan time","accumulatorId":357,"metricType":"timing"},{"name":"metadata time","accumulatorId":359,"metricType":"timing"},{"name":"size of files read","accumulatorId":360,"metricType":"size"},{"name":"number of output rows","accumulatorId":356,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":355,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":354,"metricType":"timing"},{"name":"time to build","accumulatorId":353,"metricType":"timing"},{"name":"time to collect","accumulatorId":352,"metricType":"timing"},{"name":"number of output rows","accumulatorId":351,"metricType":"sum"},{"name":"data size","accumulatorId":350,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":343,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":339,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":340,"metricType":"timing"},{"name":"peak memory","accumulatorId":338,"metricType":"size"},{"name":"number of output rows","accumulatorId":337,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":342,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":341,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":335,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":329,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":336,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":330,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":327,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":324,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":333,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":326,"metricType":"sum"},{"name":"records read","accumulatorId":323,"metricType":"sum"},{"name":"local bytes read","accumulatorId":321,"metricType":"size"},{"name":"fetch wait time","accumulatorId":322,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":319,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":325,"metricType":"sum"},{"name":"local blocks read","accumulatorId":318,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":328,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":317,"metricType":"sum"},{"name":"data size","accumulatorId":315,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":331,"metricType":"size"},{"name":"number of partitions","accumulatorId":316,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":332,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":320,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":334,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":311,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":312,"metricType":"timing"},{"name":"peak memory","accumulatorId":310,"metricType":"size"},{"name":"number of output rows","accumulatorId":309,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":314,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":313,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":308,"metricType":"timing"},{"name":"time to build","accumulatorId":307,"metricType":"timing"},{"name":"time to collect","accumulatorId":306,"metricType":"timing"},{"name":"number of output rows","accumulatorId":305,"metricType":"sum"},{"name":"data size","accumulatorId":304,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":172,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":170,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":164,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":171,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":165,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":162,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":159,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":168,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":161,"metricType":"sum"},{"name":"records read","accumulatorId":158,"metricType":"sum"},{"name":"local bytes read","accumulatorId":156,"metricType":"size"},{"name":"fetch wait time","accumulatorId":157,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":154,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":160,"metricType":"sum"},{"name":"local blocks read","accumulatorId":153,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":163,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":152,"metricType":"sum"},{"name":"data size","accumulatorId":150,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":166,"metricType":"size"},{"name":"number of partitions","accumulatorId":151,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":167,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":155,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":169,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":147,"metricType":"timing"},{"name":"peak memory","accumulatorId":148,"metricType":"size"},{"name":"spill size","accumulatorId":149,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"task commit time","accumulatorId":145,"metricType":"timing"},{"name":"number of written files","accumulatorId":141,"metricType":"sum"},{"name":"job commit time","accumulatorId":146,"metricType":"timing"},{"name":"number of output rows","accumulatorId":143,"metricType":"sum"},{"name":"number of dynamic part","accumulatorId":144,"metricType":"sum"},{"name":"written output","accumulatorId":142,"metricType":"size"}]}],"metadata":{},"metrics":[]},"time":1782915003752,"modifiedConfigs":{},"jobTags":[]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (77)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (44)\n   +- WriteFiles (43)\n      +- Sort (42)\n         +- Exchange (41)\n            +- Project (40)\n               +- Project (39)\n                  +- BroadcastHashJoin LeftOuter BuildRight (38)\n                     :- Project (24)\n                     :  +- BroadcastHashJoin LeftOuter BuildRight (23)\n                     :     :- Project (14)\n                     :     :  +- BroadcastHashJoin LeftOuter BuildRight (13)\n                     :     :     :- Scan parquet  (1)\n                     :     :     +- BroadcastExchange (12)\n                     :     :        +- HashAggregate (11)\n                     :     :           +- Exchange (10)\n                     :     :              +- HashAggregate (9)\n                     :     :                 +- HashAggregate (8)\n                     :     :                    +- ShuffleQueryStage (7)\n                     :     :                       +- Exchange (6)\n                     :     :                          +- * HashAggregate (5)\n                     :     :                             +- * Filter (4)\n                     :     :                                +- * ColumnarToRow (3)\n                     :     :                                   +- Scan parquet  (2)\n                     :     +- BroadcastExchange (22)\n                     :        +- HashAggregate (21)\n                     :           +- ShuffleQueryStage (20)\n                     :              +- Exchange (19)\n                     :                 +- * HashAggregate (18)\n                     :                    +- * Filter (17)\n                     :                       +- * ColumnarToRow (16)\n                     :                          +- Scan parquet  (15)\n                     +- BroadcastExchange (37)\n                        +- HashAggregate (36)\n                           +- Exchange (35)\n                              +- HashAggregate (34)\n                                 +- Project (33)\n                                    +- BroadcastHashJoin LeftOuter BuildRight (32)\n                                       :- Filter (26)\n                                       :  +- Scan parquet  (25)\n                                       +- BroadcastQueryStage (31)\n                                          +- BroadcastExchange (30)\n                                             +- * Filter (29)\n                                                +- * ColumnarToRow (28)\n                                                   +- Scan parquet  (27)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (76)\n   +- WriteFiles (75)\n      +- Sort (74)\n         +- Exchange (73)\n            +- Project (72)\n               +- Project (71)\n                  +- BroadcastHashJoin LeftOuter BuildRight (70)\n                     :- Project (61)\n                     :  +- BroadcastHashJoin LeftOuter BuildRight (60)\n                     :     :- Project (54)\n                     :     :  +- BroadcastHashJoin LeftOuter BuildRight (53)\n                     :     :     :- Scan parquet  (1)\n                     :     :     +- BroadcastExchange (52)\n                     :     :        +- HashAggregate (51)\n                     :     :           +- Exchange (50)\n                     :     :              +- HashAggregate (49)\n                     :     :                 +- HashAggregate (48)\n                     :     :                    +- Exchange (47)\n                     :     :                       +- HashAggregate (46)\n                     :     :                          +- Filter (45)\n                     :     :                             +- Scan parquet  (2)\n                     :     +- BroadcastExchange (59)\n                     :        +- HashAggregate (58)\n                     :           +- Exchange (57)\n                     :              +- HashAggregate (56)\n                     :                 +- Filter (55)\n                     :                    +- Scan parquet  (15)\n                     +- BroadcastExchange (69)\n                        +- HashAggregate (68)\n                           +- Exchange (67)\n                              +- HashAggregate (66)\n                                 +- Project (65)\n                                    +- BroadcastHashJoin LeftOuter BuildRight (64)\n                                       :- Filter (26)\n                                       :  +- Scan parquet  (25)\n                                       +- BroadcastExchange (63)\n                                          +- Filter (62)\n                                             +- Scan parquet  (27)\n\n\n(1) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<id:bigint,title:string>\n\n(2) Scan parquet \nOutput [2]: [user_id#1L, course_id#2L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(3) ColumnarToRow [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\n\n(4) Filter [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\nCondition : isnotnull(course_id#2L)\n\n(5) HashAggregate [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(6) Exchange\nInput [2]: [course_id#2L, user_id#1L]\nArguments: hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=234]\n\n(7) ShuffleQueryStage\nOutput [2]: [course_id#2L, user_id#1L]\nArguments: 0\n\n(8) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(9) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [partial_count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count#181L]\n\n(10) Exchange\nInput [2]: [course_id#2L, count#181L]\nArguments: hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=247]\n\n(11) HashAggregate\nInput [2]: [course_id#2L, count#181L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count(user_id#1L)#39L AS unique_users#38L]\n\n(12) BroadcastExchange\nInput [2]: [course_id#2L, unique_users#38L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=249]\n\n(13) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#2L]\nJoin type: LeftOuter\nJoin condition: None\n\n(14) Project\nOutput [3]: [id#26L, title#27, unique_users#38L]\nInput [4]: [id#26L, title#27, course_id#2L, unique_users#38L]\n\n(15) Scan parquet \nOutput [1]: [course_id#9L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:bigint>\n\n(16) ColumnarToRow [codegen id : 2]\nInput [1]: [course_id#9L]\n\n(17) Filter [codegen id : 2]\nInput [1]: [course_id#9L]\nCondition : isnotnull(course_id#9L)\n\n(18) HashAggregate [codegen id : 2]\nInput [1]: [course_id#9L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#183L]\nResults [2]: [course_id#9L, count#184L]\n\n(19) Exchange\nInput [2]: [course_id#9L, count#184L]\nArguments: hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=261]\n\n(20) ShuffleQueryStage\nOutput [2]: [course_id#9L, count#184L]\nArguments: 1\n\n(21) HashAggregate\nInput [2]: [course_id#9L, count#184L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#48L]\nResults [2]: [course_id#9L, count(1)#48L AS lessons_count#49L]\n\n(22) BroadcastExchange\nInput [2]: [course_id#9L, lessons_count#49L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=273]\n\n(23) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#9L]\nJoin type: LeftOuter\nJoin condition: None\n\n(24) Project\nOutput [4]: [id#26L, title#27, unique_users#38L, lessons_count#49L]\nInput [5]: [id#26L, title#27, unique_users#38L, course_id#9L, lessons_count#49L]\n\n(25) Scan parquet \nOutput [2]: [id#120L, course_id#121L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(26) Filter\nInput [2]: [id#120L, course_id#121L]\nCondition : isnotnull(course_id#121L)\n\n(27) Scan parquet \nOutput [2]: [lesson_id#20L, viewed_at#21]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:bigint,viewed_at:timestamp>\n\n(28) ColumnarToRow [codegen id : 3]\nInput [2]: [lesson_id#20L, viewed_at#21]\n\n(29) Filter [codegen id : 3]\nInput [2]: [lesson_id#20L, viewed_at#21]\nCondition : isnotnull(lesson_id#20L)\n\n(30) BroadcastExchange\nInput [2]: [lesson_id#20L, viewed_at#21]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=283]\n\n(31) BroadcastQueryStage\nOutput [2]: [lesson_id#20L, viewed_at#21]\nArguments: 2\n\n(32) BroadcastHashJoin\nLeft keys [1]: [id#120L]\nRight keys [1]: [lesson_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(33) Project\nOutput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nInput [4]: [id#120L, course_id#121L, lesson_id#20L, viewed_at#21]\n\n(34) HashAggregate\nInput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nKeys [1]: [course_id#121L]\nFunctions [3]: [partial_count(lesson_id#20L), partial_max(viewed_at#21), partial_min(viewed_at#21)]\nAggregate Attributes [3]: [count#185L, max#186, min#187]\nResults [4]: [course_id#121L, count#188L, max#189, min#190]\n\n(35) Exchange\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: hashpartitioning(course_id#121L, 200), ENSURE_REQUIREMENTS, [plan_id=294]\n\n(36) HashAggregate\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nKeys [1]: [course_id#121L]\nFunctions [3]: [count(lesson_id#20L), max(viewed_at#21), min(viewed_at#21)]\nAggregate Attributes [3]: [count(lesson_id#20L)#81L, max(viewed_at#21)#83, min(viewed_at#21)#85]\nResults [4]: [course_id#121L, count(lesson_id#20L)#81L AS total_views#82L, max(viewed_at#21)#83 AS last_viewed_at#84, min(viewed_at#21)#85 AS first_viewed_at#86]\n\n(37) BroadcastExchange\nInput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=296]\n\n(38) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#121L]\nJoin type: LeftOuter\nJoin condition: None\n\n(39) Project\nOutput [7]: [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]\nInput [8]: [id#26L, title#27, unique_users#38L, lessons_count#49L, course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\n\n(40) Project\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]\nInput [7]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86]\n\n(41) Exchange\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=300]\n\n(42) Sort\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: [course_id#150L ASC NULLS FIRST], true, 0\n\n(43) WriteFiles\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\n\n(44) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]\n\n(45) Filter\nInput [2]: [user_id#1L, course_id#2L]\nCondition : isnotnull(course_id#2L)\n\n(46) HashAggregate\nInput [2]: [user_id#1L, course_id#2L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(47) Exchange\nInput [2]: [course_id#2L, user_id#1L]\nArguments: hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(48) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(49) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [partial_count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count#181L]\n\n(50) Exchange\nInput [2]: [course_id#2L, count#181L]\nArguments: hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(51) HashAggregate\nInput [2]: [course_id#2L, count#181L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count(user_id#1L)#39L AS unique_users#38L]\n\n(52) BroadcastExchange\nInput [2]: [course_id#2L, unique_users#38L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=138]\n\n(53) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#2L]\nJoin type: LeftOuter\nJoin condition: None\n\n(54) Project\nOutput [3]: [id#26L, title#27, unique_users#38L]\nInput [4]: [id#26L, title#27, course_id#2L, unique_users#38L]\n\n(55) Filter\nInput [1]: [course_id#9L]\nCondition : isnotnull(course_id#9L)\n\n(56) HashAggregate\nInput [1]: [course_id#9L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#183L]\nResults [2]: [course_id#9L, count#184L]\n\n(57) Exchange\nInput [2]: [course_id#9L, count#184L]\nArguments: hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=141]\n\n(58) HashAggregate\nInput [2]: [course_id#9L, count#184L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#48L]\nResults [2]: [course_id#9L, count(1)#48L AS lessons_count#49L]\n\n(59) BroadcastExchange\nInput [2]: [course_id#9L, lessons_count#49L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=144]\n\n(60) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#9L]\nJoin type: LeftOuter\nJoin condition: None\n\n(61) Project\nOutput [4]: [id#26L, title#27, unique_users#38L, lessons_count#49L]\nInput [5]: [id#26L, title#27, unique_users#38L, course_id#9L, lessons_count#49L]\n\n(62) Filter\nInput [2]: [lesson_id#20L, viewed_at#21]\nCondition : isnotnull(lesson_id#20L)\n\n(63) BroadcastExchange\nInput [2]: [lesson_id#20L, viewed_at#21]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=147]\n\n(64) BroadcastHashJoin\nLeft keys [1]: [id#120L]\nRight keys [1]: [lesson_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(65) Project\nOutput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nInput [4]: [id#120L, course_id#121L, lesson_id#20L, viewed_at#21]\n\n(66) HashAggregate\nInput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nKeys [1]: [course_id#121L]\nFunctions [3]: [partial_count(lesson_id#20L), partial_max(viewed_at#21), partial_min(viewed_at#21)]\nAggregate Attributes [3]: [count#185L, max#186, min#187]\nResults [4]: [course_id#121L, count#188L, max#189, min#190]\n\n(67) Exchange\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: hashpartitioning(course_id#121L, 200), ENSURE_REQUIREMENTS, [plan_id=152]\n\n(68) HashAggregate\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nKeys [1]: [course_id#121L]\nFunctions [3]: [count(lesson_id#20L), max(viewed_at#21), min(viewed_at#21)]\nAggregate Attributes [3]: [count(lesson_id#20L)#81L, max(viewed_at#21)#83, min(viewed_at#21)#85]\nResults [4]: [course_id#121L, count(lesson_id#20L)#81L AS total_views#82L, max(viewed_at#21)#83 AS last_viewed_at#84, min(viewed_at#21)#85 AS first_viewed_at#86]\n\n(69) BroadcastExchange\nInput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=155]\n\n(70) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#121L]\nJoin type: LeftOuter\nJoin condition: None\n\n(71) Project\nOutput [7]: [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]\nInput [8]: [id#26L, title#27, unique_users#38L, lessons_count#49L, course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\n\n(72) Project\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]\nInput [7]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86]\n\n(73) Exchange\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=160]\n\n(74) Sort\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: [course_id#150L ASC NULLS FIRST], true, 0\n\n(75) WriteFiles\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\n\n(76) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]\n\n(77) 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/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#150L ASC NULLS FIRST], true, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=300]","children":[{"nodeName":"Project","simpleString":"Project [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]","children":[{"nodeName":"Project","simpleString":"Project [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#26L], [course_id#121L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#26L, title#27, unique_users#38L, lessons_count#49L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#26L], [course_id#9L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#26L, title#27, unique_users#38L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#26L], [course_id#2L], LeftOuter, BuildRight, false","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [id#26L,title#27] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/courses.parquet], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<id:bigint,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/courses.parquet]","ReadSchema":"struct<id:bigint,title:string>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[]","DataFilters":"[]"},"metrics":[{"name":"number of files read","accumulatorId":177,"metricType":"sum"},{"name":"scan time","accumulatorId":176,"metricType":"timing"},{"name":"metadata time","accumulatorId":178,"metricType":"timing"},{"name":"size of files read","accumulatorId":179,"metricType":"size"},{"name":"number of output rows","accumulatorId":175,"metricType":"sum"}]},{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=249]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#2L], functions=[count(distinct user_id#1L)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=247]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#2L], functions=[partial_count(distinct user_id#1L)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#2L, user_id#1L], functions=[])","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=234]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#2L, user_id#1L], functions=[])","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#2L)","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [user_id#1L,course_id#2L] Batched: true, DataFilters: [isnotnull(course_id#2L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/enrollments.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<user_id:bigint,course_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/enrollments.parquet]","ReadSchema":"struct<user_id:bigint,course_id:bigint>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#2L)]"},"metrics":[{"name":"number of files read","accumulatorId":256,"metricType":"sum"},{"name":"scan time","accumulatorId":255,"metricType":"timing"},{"name":"metadata time","accumulatorId":257,"metricType":"timing"},{"name":"size of files read","accumulatorId":258,"metricType":"size"},{"name":"number of output rows","accumulatorId":254,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":464,"metricType":"sum"},{"name":"number of input batches","accumulatorId":465,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":463,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":459,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":460,"metricType":"timing"},{"name":"peak memory","accumulatorId":458,"metricType":"size"},{"name":"number of output rows","accumulatorId":457,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":462,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":461,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":456,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":454,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":448,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":455,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":449,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":446,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":443,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":452,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":445,"metricType":"sum"},{"name":"records read","accumulatorId":442,"metricType":"sum"},{"name":"local bytes read","accumulatorId":440,"metricType":"size"},{"name":"fetch wait time","accumulatorId":441,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":438,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":444,"metricType":"sum"},{"name":"local blocks read","accumulatorId":437,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":447,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":436,"metricType":"sum"},{"name":"data size","accumulatorId":434,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":450,"metricType":"size"},{"name":"number of partitions","accumulatorId":435,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":451,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":439,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":453,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":430,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":431,"metricType":"timing"},{"name":"peak memory","accumulatorId":429,"metricType":"size"},{"name":"number of output rows","accumulatorId":428,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":433,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":432,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":424,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":425,"metricType":"timing"},{"name":"peak memory","accumulatorId":423,"metricType":"size"},{"name":"number of output rows","accumulatorId":422,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":427,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":426,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":420,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":414,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":421,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":415,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":412,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":409,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":418,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":411,"metricType":"sum"},{"name":"records read","accumulatorId":408,"metricType":"sum"},{"name":"local bytes read","accumulatorId":406,"metricType":"size"},{"name":"fetch wait time","accumulatorId":407,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":404,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":410,"metricType":"sum"},{"name":"local blocks read","accumulatorId":403,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":413,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":402,"metricType":"sum"},{"name":"data size","accumulatorId":400,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":416,"metricType":"size"},{"name":"number of partitions","accumulatorId":401,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":417,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":405,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":419,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":396,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":397,"metricType":"timing"},{"name":"peak memory","accumulatorId":395,"metricType":"size"},{"name":"number of output rows","accumulatorId":394,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":399,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":398,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":393,"metricType":"timing"},{"name":"time to build","accumulatorId":392,"metricType":"timing"},{"name":"time to collect","accumulatorId":391,"metricType":"timing"},{"name":"number of output rows","accumulatorId":390,"metricType":"sum"},{"name":"data size","accumulatorId":389,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":388,"metricType":"sum"}]}],"metadata":{},"metrics":[]},{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=273]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#9L], functions=[count(1)])","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 1","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=261]","children":[{"nodeName":"WholeStageCodegen (2)","simpleString":"WholeStageCodegen (2)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#9L], functions=[partial_count(1)])","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#9L)","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [course_id#9L] Batched: true, DataFilters: [isnotnull(course_id#9L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<course_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.parquet]","ReadSchema":"struct<course_id:bigint>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#9L)]"},"metrics":[{"name":"number of files read","accumulatorId":301,"metricType":"sum"},{"name":"scan time","accumulatorId":300,"metricType":"timing"},{"name":"metadata time","accumulatorId":302,"metricType":"timing"},{"name":"size of files read","accumulatorId":303,"metricType":"size"},{"name":"number of output rows","accumulatorId":299,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":507,"metricType":"sum"},{"name":"number of input batches","accumulatorId":508,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":506,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":502,"metricType":"size"},{"name":"time in 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-Djdk.reflect.useDirectMethodHandle=false","spark.sql.execution.root.id":"0","spark.hadoop.fs.s3a.connection.ssl.enabled":"false","spark.serializer.objectStreamReset":"100","spark.driver.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}}
{"Event":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":5,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":15,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"22\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[14],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":10,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"32\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[8],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk 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Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0},"Properties":{"spark.driver.port":"37817","spark.submit.pyFiles":"","spark.app.startTime":"1782914995479","spark.rdd.scope":"{\"id\":\"22\",\"name\":\"Exchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.app.submitTime":"1782914994482","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_course_summary","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-20260701180956-0044","spark.eventLog.compress":"true","spark.eventLog.enabled":"true","spark.executor.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false 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--add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}}
{"Event":"SparkListenerTaskStart","Stage ID":4,"Stage Attempt ID":0,"Task Info":{"Task ID":4,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1782915004141,"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":"SparkListenerTaskStart","Stage ID":5,"Stage Attempt ID":0,"Task Info":{"Task ID":5,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1782915004189,"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":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[301,1],[302,0],[303,2295]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[478,200]]}
{"Event":"SparkListenerJobStart","Job ID":6,"Submission Time":1782915004274,"Stage Infos":[{"Stage ID":6,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":19,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"33\",\"name\":\"Exchange\"}","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":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":17,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"39\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[16],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached 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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)","Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}],"Stage 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{"Event":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":6,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":19,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"33\",\"name\":\"Exchange\"}","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":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":17,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"39\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[16],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk 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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":1782915004277,"Accumulables":[],"Resource Profile 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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":1782915004277,"Completion Time":1782915005172,"Accumulables":[{"ID":299,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":300,"Name":"scan time","Value":"253","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":477,"Name":"data size","Value":"120","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":496,"Name":"shuffle bytes written","Value":"312","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":497,"Name":"shuffle records written","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":498,"Name":"shuffle write time","Value":"23015614","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":499,"Name":"duration","Value":"401","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":500,"Name":"number of output rows","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":501,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":503,"Name":"time in aggregation build","Value":"257","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":506,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":507,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":508,"Name":"number of input batches","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":628,"Name":"internal.metrics.executorDeserializeTime","Value":158,"Internal":true,"Count Failed Values":true},{"ID":629,"Name":"internal.metrics.executorDeserializeCpuTime","Value":67514880,"Internal":true,"Count Failed Values":true},{"ID":630,"Name":"internal.metrics.executorRunTime","Value":680,"Internal":true,"Count Failed Values":true},{"ID":631,"Name":"internal.metrics.executorCpuTime","Value":406441349,"Internal":true,"Count Failed Values":true},{"ID":632,"Name":"internal.metrics.resultSize","Value":2980,"Internal":true,"Count Failed Values":true},{"ID":637,"Name":"internal.metrics.peakExecutionMemory","Value":262144,"Internal":true,"Count Failed Values":true},{"ID":656,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":312,"Internal":true,"Count Failed Values":true},{"ID":657,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":5,"Internal":true,"Count Failed Values":true},{"ID":658,"Name":"internal.metrics.shuffle.write.writeTime","Value":23015614,"Internal":true,"Count Failed Values":true},{"ID":659,"Name":"internal.metrics.input.bytesRead","Value":5954,"Internal":true,"Count Failed Values":true},{"ID":660,"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":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[553,11],[552,37],[551,1315],[550,58],[549,1048704]]}
{"Event":"SparkListenerJobEnd","Job ID":6,"Completion Time":1782915005175,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (82)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (46)\n   +- WriteFiles (45)\n      +- Sort (44)\n         +- Exchange (43)\n            +- Project (42)\n               +- Project (41)\n                  +- BroadcastHashJoin LeftOuter BuildRight (40)\n                     :- Project (26)\n                     :  +- BroadcastHashJoin LeftOuter BuildRight (25)\n                     :     :- Project (16)\n                     :     :  +- BroadcastHashJoin LeftOuter BuildRight (15)\n                     :     :     :- Scan parquet  (1)\n                     :     :     +- BroadcastExchange (14)\n                     :     :        +- HashAggregate (13)\n                     :     :           +- ShuffleQueryStage (12)\n                     :     :              +- Exchange (11)\n                     :     :                 +- * HashAggregate (10)\n                     :     :                    +- * HashAggregate (9)\n                     :     :                       +- AQEShuffleRead (8)\n                     :     :                          +- ShuffleQueryStage (7), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                     :     :                             +- Exchange (6)\n                     :     :                                +- * HashAggregate (5)\n                     :     :                                   +- * Filter (4)\n                     :     :                                      +- * ColumnarToRow (3)\n                     :     :                                         +- Scan parquet  (2)\n                     :     +- BroadcastExchange (24)\n                     :        +- HashAggregate (23)\n                     :           +- ShuffleQueryStage (22)\n                     :              +- Exchange (21)\n                     :                 +- * HashAggregate (20)\n                     :                    +- * Filter (19)\n                     :                       +- * ColumnarToRow (18)\n                     :                          +- Scan parquet  (17)\n                     +- BroadcastExchange (39)\n                        +- HashAggregate (38)\n                           +- Exchange (37)\n                              +- HashAggregate (36)\n                                 +- Project (35)\n                                    +- BroadcastHashJoin LeftOuter BuildRight (34)\n                                       :- Filter (28)\n                                       :  +- Scan parquet  (27)\n                                       +- BroadcastQueryStage (33)\n                                          +- BroadcastExchange (32)\n                                             +- * Filter (31)\n                                                +- * ColumnarToRow (30)\n                                                   +- Scan parquet  (29)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (81)\n   +- WriteFiles (80)\n      +- Sort (79)\n         +- Exchange (78)\n            +- Project (77)\n               +- Project (76)\n                  +- BroadcastHashJoin LeftOuter BuildRight (75)\n                     :- Project (64)\n                     :  +- BroadcastHashJoin LeftOuter BuildRight (63)\n                     :     :- Project (57)\n                     :     :  +- BroadcastHashJoin LeftOuter BuildRight (56)\n                     :     :     :- Scan parquet  (47)\n                     :     :     +- BroadcastExchange (55)\n                     :     :        +- HashAggregate (54)\n                     :     :           +- Exchange (53)\n                     :     :              +- HashAggregate (52)\n                     :     :                 +- HashAggregate (51)\n                     :     :                    +- Exchange (50)\n                     :     :                       +- HashAggregate (49)\n                     :     :                          +- Filter (48)\n                     :     :                             +- Scan parquet  (2)\n                     :     +- BroadcastExchange (62)\n                     :        +- HashAggregate (61)\n                     :           +- Exchange (60)\n                     :              +- HashAggregate (59)\n                     :                 +- Filter (58)\n                     :                    +- Scan parquet  (17)\n                     +- BroadcastExchange (74)\n                        +- HashAggregate (73)\n                           +- Exchange (72)\n                              +- HashAggregate (71)\n                                 +- Project (70)\n                                    +- BroadcastHashJoin LeftOuter BuildRight (69)\n                                       :- Filter (66)\n                                       :  +- Scan parquet  (65)\n                                       +- BroadcastExchange (68)\n                                          +- Filter (67)\n                                             +- Scan parquet  (29)\n\n\n(1) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<id:bigint,title:string>\n\n(2) Scan parquet \nOutput [2]: [user_id#1L, course_id#2L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(3) ColumnarToRow [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\n\n(4) Filter [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\nCondition : isnotnull(course_id#2L)\n\n(5) HashAggregate [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(6) Exchange\nInput [2]: [course_id#2L, user_id#1L]\nArguments: hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=234]\n\n(7) ShuffleQueryStage\nOutput [2]: [course_id#2L, user_id#1L]\nArguments: 0\n\n(8) AQEShuffleRead\nInput [2]: [course_id#2L, user_id#1L]\nArguments: coalesced\n\n(9) HashAggregate [codegen id : 4]\nInput [2]: [course_id#2L, user_id#1L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(10) HashAggregate [codegen id : 4]\nInput [2]: [course_id#2L, user_id#1L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [partial_count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count#181L]\n\n(11) Exchange\nInput [2]: [course_id#2L, count#181L]\nArguments: hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=438]\n\n(12) ShuffleQueryStage\nOutput [2]: [course_id#2L, count#181L]\nArguments: 3\n\n(13) HashAggregate\nInput [2]: [course_id#2L, count#181L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count(user_id#1L)#39L AS unique_users#38L]\n\n(14) BroadcastExchange\nInput [2]: [course_id#2L, unique_users#38L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=450]\n\n(15) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#2L]\nJoin type: LeftOuter\nJoin condition: None\n\n(16) Project\nOutput [3]: [id#26L, title#27, unique_users#38L]\nInput [4]: [id#26L, title#27, course_id#2L, unique_users#38L]\n\n(17) Scan parquet \nOutput [1]: [course_id#9L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:bigint>\n\n(18) ColumnarToRow [codegen id : 2]\nInput [1]: [course_id#9L]\n\n(19) Filter [codegen id : 2]\nInput [1]: [course_id#9L]\nCondition : isnotnull(course_id#9L)\n\n(20) HashAggregate [codegen id : 2]\nInput [1]: [course_id#9L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#183L]\nResults [2]: [course_id#9L, count#184L]\n\n(21) Exchange\nInput [2]: [course_id#9L, count#184L]\nArguments: hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=261]\n\n(22) ShuffleQueryStage\nOutput [2]: [course_id#9L, count#184L]\nArguments: 1\n\n(23) HashAggregate\nInput [2]: [course_id#9L, count#184L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#48L]\nResults [2]: [course_id#9L, count(1)#48L AS lessons_count#49L]\n\n(24) BroadcastExchange\nInput [2]: [course_id#9L, lessons_count#49L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=372]\n\n(25) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#9L]\nJoin type: LeftOuter\nJoin condition: None\n\n(26) Project\nOutput [4]: [id#26L, title#27, unique_users#38L, lessons_count#49L]\nInput [5]: [id#26L, title#27, unique_users#38L, course_id#9L, lessons_count#49L]\n\n(27) Scan parquet \nOutput [2]: [id#120L, course_id#121L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(28) Filter\nInput [2]: [id#120L, course_id#121L]\nCondition : isnotnull(course_id#121L)\n\n(29) Scan parquet \nOutput [2]: [lesson_id#20L, viewed_at#21]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:bigint,viewed_at:timestamp>\n\n(30) ColumnarToRow [codegen id : 3]\nInput [2]: [lesson_id#20L, viewed_at#21]\n\n(31) Filter [codegen id : 3]\nInput [2]: [lesson_id#20L, viewed_at#21]\nCondition : isnotnull(lesson_id#20L)\n\n(32) BroadcastExchange\nInput [2]: [lesson_id#20L, viewed_at#21]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=283]\n\n(33) BroadcastQueryStage\nOutput [2]: [lesson_id#20L, viewed_at#21]\nArguments: 2\n\n(34) BroadcastHashJoin\nLeft keys [1]: [id#120L]\nRight keys [1]: [lesson_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(35) Project\nOutput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nInput [4]: [id#120L, course_id#121L, lesson_id#20L, viewed_at#21]\n\n(36) HashAggregate\nInput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nKeys [1]: [course_id#121L]\nFunctions [3]: [partial_count(lesson_id#20L), partial_max(viewed_at#21), partial_min(viewed_at#21)]\nAggregate Attributes [3]: [count#185L, max#186, min#187]\nResults [4]: [course_id#121L, count#188L, max#189, min#190]\n\n(37) Exchange\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: hashpartitioning(course_id#121L, 200), ENSURE_REQUIREMENTS, [plan_id=375]\n\n(38) HashAggregate\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nKeys [1]: [course_id#121L]\nFunctions [3]: [count(lesson_id#20L), max(viewed_at#21), min(viewed_at#21)]\nAggregate Attributes [3]: [count(lesson_id#20L)#81L, max(viewed_at#21)#83, min(viewed_at#21)#85]\nResults [4]: [course_id#121L, count(lesson_id#20L)#81L AS total_views#82L, max(viewed_at#21)#83 AS last_viewed_at#84, min(viewed_at#21)#85 AS first_viewed_at#86]\n\n(39) BroadcastExchange\nInput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=378]\n\n(40) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#121L]\nJoin type: LeftOuter\nJoin condition: None\n\n(41) Project\nOutput [7]: [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]\nInput [8]: [id#26L, title#27, unique_users#38L, lessons_count#49L, course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\n\n(42) Project\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]\nInput [7]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86]\n\n(43) Exchange\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=458]\n\n(44) Sort\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: [course_id#150L ASC NULLS FIRST], true, 0\n\n(45) WriteFiles\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\n\n(46) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]\n\n(47) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<id:bigint,title:string>\n\n(48) Filter\nInput [2]: [user_id#1L, course_id#2L]\nCondition : isnotnull(course_id#2L)\n\n(49) HashAggregate\nInput [2]: [user_id#1L, course_id#2L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(50) Exchange\nInput [2]: [course_id#2L, user_id#1L]\nArguments: hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(51) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(52) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [partial_count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count#181L]\n\n(53) Exchange\nInput [2]: [course_id#2L, count#181L]\nArguments: hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(54) HashAggregate\nInput [2]: [course_id#2L, count#181L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count(user_id#1L)#39L AS unique_users#38L]\n\n(55) BroadcastExchange\nInput [2]: [course_id#2L, unique_users#38L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=138]\n\n(56) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#2L]\nJoin type: LeftOuter\nJoin condition: None\n\n(57) Project\nOutput [3]: [id#26L, title#27, unique_users#38L]\nInput [4]: [id#26L, title#27, course_id#2L, unique_users#38L]\n\n(58) Filter\nInput [1]: [course_id#9L]\nCondition : isnotnull(course_id#9L)\n\n(59) HashAggregate\nInput [1]: [course_id#9L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#183L]\nResults [2]: [course_id#9L, count#184L]\n\n(60) Exchange\nInput [2]: [course_id#9L, count#184L]\nArguments: hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=141]\n\n(61) HashAggregate\nInput [2]: [course_id#9L, count#184L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#48L]\nResults [2]: [course_id#9L, count(1)#48L AS lessons_count#49L]\n\n(62) BroadcastExchange\nInput [2]: [course_id#9L, lessons_count#49L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=144]\n\n(63) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#9L]\nJoin type: LeftOuter\nJoin condition: None\n\n(64) Project\nOutput [4]: [id#26L, title#27, unique_users#38L, lessons_count#49L]\nInput [5]: [id#26L, title#27, unique_users#38L, course_id#9L, lessons_count#49L]\n\n(65) Scan parquet \nOutput [2]: [id#120L, course_id#121L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(66) Filter\nInput [2]: [id#120L, course_id#121L]\nCondition : isnotnull(course_id#121L)\n\n(67) Filter\nInput [2]: [lesson_id#20L, viewed_at#21]\nCondition : isnotnull(lesson_id#20L)\n\n(68) BroadcastExchange\nInput [2]: [lesson_id#20L, viewed_at#21]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=147]\n\n(69) BroadcastHashJoin\nLeft keys [1]: [id#120L]\nRight keys [1]: [lesson_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(70) Project\nOutput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nInput [4]: [id#120L, course_id#121L, lesson_id#20L, viewed_at#21]\n\n(71) HashAggregate\nInput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nKeys [1]: [course_id#121L]\nFunctions [3]: [partial_count(lesson_id#20L), partial_max(viewed_at#21), partial_min(viewed_at#21)]\nAggregate Attributes [3]: [count#185L, max#186, min#187]\nResults [4]: [course_id#121L, count#188L, max#189, min#190]\n\n(72) Exchange\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: hashpartitioning(course_id#121L, 200), ENSURE_REQUIREMENTS, [plan_id=152]\n\n(73) HashAggregate\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nKeys [1]: [course_id#121L]\nFunctions [3]: [count(lesson_id#20L), max(viewed_at#21), min(viewed_at#21)]\nAggregate Attributes [3]: [count(lesson_id#20L)#81L, max(viewed_at#21)#83, min(viewed_at#21)#85]\nResults [4]: [course_id#121L, count(lesson_id#20L)#81L AS total_views#82L, max(viewed_at#21)#83 AS last_viewed_at#84, min(viewed_at#21)#85 AS first_viewed_at#86]\n\n(74) BroadcastExchange\nInput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=155]\n\n(75) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#121L]\nJoin type: LeftOuter\nJoin condition: None\n\n(76) Project\nOutput [7]: [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]\nInput [8]: [id#26L, title#27, unique_users#38L, lessons_count#49L, course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\n\n(77) Project\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]\nInput [7]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86]\n\n(78) Exchange\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=160]\n\n(79) Sort\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: [course_id#150L ASC NULLS FIRST], true, 0\n\n(80) WriteFiles\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\n\n(81) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]\n\n(82) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute 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{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (86)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (50)\n   +- WriteFiles (49)\n      +- Sort (48)\n         +- Exchange (47)\n            +- Project (46)\n               +- Project (45)\n                  +- BroadcastHashJoin LeftOuter BuildRight (44)\n                     :- Project (28)\n                     :  +- BroadcastHashJoin LeftOuter BuildRight (27)\n                     :     :- Project (16)\n                     :     :  +- BroadcastHashJoin LeftOuter BuildRight (15)\n                     :     :     :- Scan parquet  (1)\n                     :     :     +- BroadcastExchange (14)\n                     :     :        +- HashAggregate (13)\n                     :     :           +- ShuffleQueryStage (12)\n                     :     :              +- Exchange (11)\n                     :     :                 +- * HashAggregate (10)\n                     :     :                    +- * HashAggregate (9)\n                     :     :                       +- AQEShuffleRead (8)\n                     :     :                          +- ShuffleQueryStage (7), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                     :     :                             +- Exchange (6)\n                     :     :                                +- * HashAggregate (5)\n                     :     :                                   +- * Filter (4)\n                     :     :                                      +- * ColumnarToRow (3)\n                     :     :                                         +- Scan parquet  (2)\n                     :     +- BroadcastQueryStage (26)\n                     :        +- BroadcastExchange (25)\n                     :           +- * HashAggregate (24)\n                     :              +- AQEShuffleRead (23)\n                     :                 +- ShuffleQueryStage (22), Statistics(sizeInBytes=120.0 B, rowCount=5)\n                     :                    +- Exchange (21)\n                     :                       +- * HashAggregate (20)\n                     :                          +- * Filter (19)\n                     :                             +- * ColumnarToRow (18)\n                     :                                +- Scan parquet  (17)\n                     +- BroadcastExchange (43)\n                        +- HashAggregate (42)\n                           +- ShuffleQueryStage (41)\n                              +- Exchange (40)\n                                 +- * HashAggregate (39)\n                                    +- * Project (38)\n                                       +- * BroadcastHashJoin LeftOuter BuildRight (37)\n                                          :- * Filter (31)\n                                          :  +- * ColumnarToRow (30)\n                                          :     +- Scan parquet  (29)\n                                          +- BroadcastQueryStage (36), Statistics(sizeInBytes=1024.1 KiB, rowCount=58)\n                                             +- BroadcastExchange (35)\n                                                +- * Filter (34)\n                                                   +- * ColumnarToRow (33)\n                                                      +- Scan parquet  (32)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (85)\n   +- WriteFiles (84)\n      +- Sort (83)\n         +- Exchange (82)\n            +- Project (81)\n               +- Project (80)\n                  +- BroadcastHashJoin LeftOuter BuildRight (79)\n                     :- Project (68)\n                     :  +- BroadcastHashJoin LeftOuter BuildRight (67)\n                     :     :- Project (61)\n                     :     :  +- BroadcastHashJoin LeftOuter BuildRight (60)\n                     :     :     :- Scan parquet  (51)\n                     :     :     +- BroadcastExchange (59)\n                     :     :        +- HashAggregate (58)\n                     :     :           +- Exchange (57)\n                     :     :              +- HashAggregate (56)\n                     :     :                 +- HashAggregate (55)\n                     :     :                    +- Exchange (54)\n                     :     :                       +- HashAggregate (53)\n                     :     :                          +- Filter (52)\n                     :     :                             +- Scan parquet  (2)\n                     :     +- BroadcastExchange (66)\n                     :        +- HashAggregate (65)\n                     :           +- Exchange (64)\n                     :              +- HashAggregate (63)\n                     :                 +- Filter (62)\n                     :                    +- Scan parquet  (17)\n                     +- BroadcastExchange (78)\n                        +- HashAggregate (77)\n                           +- Exchange (76)\n                              +- HashAggregate (75)\n                                 +- Project (74)\n                                    +- BroadcastHashJoin LeftOuter BuildRight (73)\n                                       :- Filter (70)\n                                       :  +- Scan parquet  (69)\n                                       +- BroadcastExchange (72)\n                                          +- Filter (71)\n                                             +- Scan parquet  (32)\n\n\n(1) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<id:bigint,title:string>\n\n(2) Scan parquet \nOutput [2]: [user_id#1L, course_id#2L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(3) ColumnarToRow [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\n\n(4) Filter [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\nCondition : isnotnull(course_id#2L)\n\n(5) HashAggregate [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(6) Exchange\nInput [2]: [course_id#2L, user_id#1L]\nArguments: hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=234]\n\n(7) ShuffleQueryStage\nOutput [2]: [course_id#2L, user_id#1L]\nArguments: 0\n\n(8) AQEShuffleRead\nInput [2]: [course_id#2L, user_id#1L]\nArguments: coalesced\n\n(9) HashAggregate [codegen id : 4]\nInput [2]: [course_id#2L, user_id#1L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(10) HashAggregate [codegen id : 4]\nInput [2]: [course_id#2L, user_id#1L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [partial_count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count#181L]\n\n(11) Exchange\nInput [2]: [course_id#2L, count#181L]\nArguments: hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=438]\n\n(12) ShuffleQueryStage\nOutput [2]: [course_id#2L, count#181L]\nArguments: 3\n\n(13) HashAggregate\nInput [2]: [course_id#2L, count#181L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count(user_id#1L)#39L AS unique_users#38L]\n\n(14) BroadcastExchange\nInput [2]: [course_id#2L, unique_users#38L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=450]\n\n(15) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#2L]\nJoin type: LeftOuter\nJoin condition: None\n\n(16) Project\nOutput [3]: [id#26L, title#27, unique_users#38L]\nInput [4]: [id#26L, title#27, course_id#2L, unique_users#38L]\n\n(17) Scan parquet \nOutput [1]: [course_id#9L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:bigint>\n\n(18) ColumnarToRow [codegen id : 2]\nInput [1]: [course_id#9L]\n\n(19) Filter [codegen id : 2]\nInput [1]: [course_id#9L]\nCondition : isnotnull(course_id#9L)\n\n(20) HashAggregate [codegen id : 2]\nInput [1]: [course_id#9L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#183L]\nResults [2]: [course_id#9L, count#184L]\n\n(21) Exchange\nInput [2]: [course_id#9L, count#184L]\nArguments: hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=261]\n\n(22) ShuffleQueryStage\nOutput [2]: [course_id#9L, count#184L]\nArguments: 1\n\n(23) AQEShuffleRead\nInput [2]: [course_id#9L, count#184L]\nArguments: coalesced\n\n(24) HashAggregate [codegen id : 5]\nInput [2]: [course_id#9L, count#184L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#48L]\nResults [2]: [course_id#9L, count(1)#48L AS lessons_count#49L]\n\n(25) BroadcastExchange\nInput [2]: [course_id#9L, lessons_count#49L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=573]\n\n(26) BroadcastQueryStage\nOutput [2]: [course_id#9L, lessons_count#49L]\nArguments: 4\n\n(27) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#9L]\nJoin type: LeftOuter\nJoin condition: None\n\n(28) Project\nOutput [4]: [id#26L, title#27, unique_users#38L, lessons_count#49L]\nInput [5]: [id#26L, title#27, unique_users#38L, course_id#9L, lessons_count#49L]\n\n(29) Scan parquet \nOutput [2]: [id#120L, course_id#121L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(30) ColumnarToRow [codegen id : 6]\nInput [2]: [id#120L, course_id#121L]\n\n(31) Filter [codegen id : 6]\nInput [2]: [id#120L, course_id#121L]\nCondition : isnotnull(course_id#121L)\n\n(32) Scan parquet \nOutput [2]: [lesson_id#20L, viewed_at#21]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:bigint,viewed_at:timestamp>\n\n(33) ColumnarToRow [codegen id : 3]\nInput [2]: [lesson_id#20L, viewed_at#21]\n\n(34) Filter [codegen id : 3]\nInput [2]: [lesson_id#20L, viewed_at#21]\nCondition : isnotnull(lesson_id#20L)\n\n(35) BroadcastExchange\nInput [2]: [lesson_id#20L, viewed_at#21]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=283]\n\n(36) BroadcastQueryStage\nOutput [2]: [lesson_id#20L, viewed_at#21]\nArguments: 2\n\n(37) BroadcastHashJoin [codegen id : 6]\nLeft keys [1]: [id#120L]\nRight keys [1]: [lesson_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(38) Project [codegen id : 6]\nOutput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nInput [4]: [id#120L, course_id#121L, lesson_id#20L, viewed_at#21]\n\n(39) HashAggregate [codegen id : 6]\nInput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nKeys [1]: [course_id#121L]\nFunctions [3]: [partial_count(lesson_id#20L), partial_max(viewed_at#21), partial_min(viewed_at#21)]\nAggregate Attributes [3]: [count#185L, max#186, min#187]\nResults [4]: [course_id#121L, count#188L, max#189, min#190]\n\n(40) Exchange\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: hashpartitioning(course_id#121L, 200), ENSURE_REQUIREMENTS, [plan_id=597]\n\n(41) ShuffleQueryStage\nOutput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: 5\n\n(42) HashAggregate\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nKeys [1]: [course_id#121L]\nFunctions [3]: [count(lesson_id#20L), max(viewed_at#21), min(viewed_at#21)]\nAggregate Attributes [3]: [count(lesson_id#20L)#81L, max(viewed_at#21)#83, min(viewed_at#21)#85]\nResults [4]: [course_id#121L, count(lesson_id#20L)#81L AS total_views#82L, max(viewed_at#21)#83 AS last_viewed_at#84, min(viewed_at#21)#85 AS first_viewed_at#86]\n\n(43) BroadcastExchange\nInput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=614]\n\n(44) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#121L]\nJoin type: LeftOuter\nJoin condition: None\n\n(45) Project\nOutput [7]: [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]\nInput [8]: [id#26L, title#27, unique_users#38L, lessons_count#49L, course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\n\n(46) Project\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]\nInput [7]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86]\n\n(47) Exchange\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=618]\n\n(48) Sort\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: [course_id#150L ASC NULLS FIRST], true, 0\n\n(49) WriteFiles\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\n\n(50) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]\n\n(51) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<id:bigint,title:string>\n\n(52) Filter\nInput [2]: [user_id#1L, course_id#2L]\nCondition : isnotnull(course_id#2L)\n\n(53) HashAggregate\nInput [2]: [user_id#1L, course_id#2L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(54) Exchange\nInput [2]: [course_id#2L, user_id#1L]\nArguments: hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(55) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(56) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [partial_count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count#181L]\n\n(57) Exchange\nInput [2]: [course_id#2L, count#181L]\nArguments: hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(58) HashAggregate\nInput [2]: [course_id#2L, count#181L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count(user_id#1L)#39L AS unique_users#38L]\n\n(59) BroadcastExchange\nInput [2]: [course_id#2L, unique_users#38L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=138]\n\n(60) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#2L]\nJoin type: LeftOuter\nJoin condition: None\n\n(61) Project\nOutput [3]: [id#26L, title#27, unique_users#38L]\nInput [4]: [id#26L, title#27, course_id#2L, unique_users#38L]\n\n(62) Filter\nInput [1]: [course_id#9L]\nCondition : isnotnull(course_id#9L)\n\n(63) HashAggregate\nInput [1]: [course_id#9L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#183L]\nResults [2]: [course_id#9L, count#184L]\n\n(64) Exchange\nInput [2]: [course_id#9L, count#184L]\nArguments: hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=141]\n\n(65) HashAggregate\nInput [2]: [course_id#9L, count#184L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#48L]\nResults [2]: [course_id#9L, count(1)#48L AS lessons_count#49L]\n\n(66) BroadcastExchange\nInput [2]: [course_id#9L, lessons_count#49L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=144]\n\n(67) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#9L]\nJoin type: LeftOuter\nJoin condition: None\n\n(68) Project\nOutput [4]: [id#26L, title#27, unique_users#38L, lessons_count#49L]\nInput [5]: [id#26L, title#27, unique_users#38L, course_id#9L, lessons_count#49L]\n\n(69) Scan parquet \nOutput [2]: [id#120L, course_id#121L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(70) Filter\nInput [2]: [id#120L, course_id#121L]\nCondition : isnotnull(course_id#121L)\n\n(71) Filter\nInput [2]: [lesson_id#20L, viewed_at#21]\nCondition : isnotnull(lesson_id#20L)\n\n(72) BroadcastExchange\nInput [2]: [lesson_id#20L, viewed_at#21]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=147]\n\n(73) BroadcastHashJoin\nLeft keys [1]: [id#120L]\nRight keys [1]: [lesson_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(74) Project\nOutput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nInput [4]: [id#120L, course_id#121L, lesson_id#20L, viewed_at#21]\n\n(75) HashAggregate\nInput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nKeys [1]: [course_id#121L]\nFunctions [3]: [partial_count(lesson_id#20L), partial_max(viewed_at#21), partial_min(viewed_at#21)]\nAggregate Attributes [3]: [count#185L, max#186, min#187]\nResults [4]: [course_id#121L, count#188L, max#189, min#190]\n\n(76) Exchange\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: hashpartitioning(course_id#121L, 200), ENSURE_REQUIREMENTS, [plan_id=152]\n\n(77) HashAggregate\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nKeys [1]: [course_id#121L]\nFunctions [3]: [count(lesson_id#20L), max(viewed_at#21), min(viewed_at#21)]\nAggregate Attributes [3]: [count(lesson_id#20L)#81L, max(viewed_at#21)#83, min(viewed_at#21)#85]\nResults [4]: [course_id#121L, count(lesson_id#20L)#81L AS total_views#82L, max(viewed_at#21)#83 AS last_viewed_at#84, min(viewed_at#21)#85 AS first_viewed_at#86]\n\n(78) BroadcastExchange\nInput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=155]\n\n(79) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#121L]\nJoin type: LeftOuter\nJoin condition: None\n\n(80) Project\nOutput [7]: [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]\nInput [8]: [id#26L, title#27, unique_users#38L, lessons_count#49L, course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\n\n(81) Project\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]\nInput [7]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86]\n\n(82) Exchange\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=160]\n\n(83) Sort\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: [course_id#150L ASC NULLS FIRST], true, 0\n\n(84) WriteFiles\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\n\n(85) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]\n\n(86) 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/course_summary.parquet, false, Parquet, 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Values":true},{"ID":945,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":946,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":947,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":948,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":949,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":950,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true}]},"Task Executor Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":56,"Executor Deserialize CPU Time":15349488,"Executor Run Time":69,"Executor CPU Time":32920307,"Peak Execution Memory":4456432,"Result Size":5417,"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":312,"Total Records Read":5,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":0,"Shuffle Write Time":0,"Shuffle Records Written":0},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":10,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":25,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"50\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[24],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":24,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"54\",\"name\":\"WholeStageCodegen (5)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[23],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":23,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"63\",\"name\":\"AQEShuffleRead\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[19],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[9],"Details":"org.apache.spark.sql.execution.SQLExecution$.$anonfun$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":1782915005438,"Completion Time":1782915005609,"Accumulables":[{"ID":480,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":483,"Name":"local bytes read","Value":"312","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":484,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":485,"Name":"records read","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":869,"Name":"duration","Value":"7","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":870,"Name":"number of output rows","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":871,"Name":"peak memory","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":873,"Name":"time in aggregation build","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":874,"Name":"avg hash probes per key","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":923,"Name":"internal.metrics.executorDeserializeTime","Value":56,"Internal":true,"Count Failed Values":true},{"ID":924,"Name":"internal.metrics.executorDeserializeCpuTime","Value":15349488,"Internal":true,"Count Failed Values":true},{"ID":925,"Name":"internal.metrics.executorRunTime","Value":69,"Internal":true,"Count Failed Values":true},{"ID":926,"Name":"internal.metrics.executorCpuTime","Value":32920307,"Internal":true,"Count Failed Values":true},{"ID":927,"Name":"internal.metrics.resultSize","Value":5417,"Internal":true,"Count Failed Values":true},{"ID":932,"Name":"internal.metrics.peakExecutionMemory","Value":4456432,"Internal":true,"Count Failed Values":true},{"ID":934,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":935,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":936,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":937,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":938,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":312,"Internal":true,"Count Failed Values":true},{"ID":939,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":940,"Name":"internal.metrics.shuffle.read.recordsRead","Value":5,"Internal":true,"Count Failed Values":true},{"ID":941,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":942,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":943,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":944,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":945,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":946,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":947,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":948,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":949,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":950,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":8,"Completion Time":1782915005610,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[868,20],[867,15],[866,259],[865,5],[864,1048616]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (88)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (52)\n   +- WriteFiles (51)\n      +- Sort (50)\n         +- Exchange (49)\n            +- Project (48)\n               +- Project (47)\n                  +- BroadcastHashJoin LeftOuter BuildRight (46)\n                     :- Project (30)\n                     :  +- BroadcastHashJoin LeftOuter BuildRight (29)\n                     :     :- Project (18)\n                     :     :  +- BroadcastHashJoin LeftOuter BuildRight (17)\n                     :     :     :- Scan parquet  (1)\n                     :     :     +- BroadcastQueryStage (16)\n                     :     :        +- BroadcastExchange (15)\n                     :     :           +- * HashAggregate (14)\n                     :     :              +- AQEShuffleRead (13)\n                     :     :                 +- ShuffleQueryStage (12), Statistics(sizeInBytes=120.0 B, rowCount=5)\n                     :     :                    +- Exchange (11)\n                     :     :                       +- * HashAggregate (10)\n                     :     :                          +- * HashAggregate (9)\n                     :     :                             +- AQEShuffleRead (8)\n                     :     :                                +- ShuffleQueryStage (7), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                     :     :                                   +- Exchange (6)\n                     :     :                                      +- * HashAggregate (5)\n                     :     :                                         +- * Filter (4)\n                     :     :                                            +- * ColumnarToRow (3)\n                     :     :                                               +- Scan parquet  (2)\n                     :     +- BroadcastQueryStage (28)\n                     :        +- BroadcastExchange (27)\n                     :           +- * HashAggregate (26)\n                     :              +- AQEShuffleRead (25)\n                     :                 +- ShuffleQueryStage (24), Statistics(sizeInBytes=120.0 B, rowCount=5)\n                     :                    +- Exchange (23)\n                     :                       +- * HashAggregate (22)\n                     :                          +- * Filter (21)\n                     :                             +- * ColumnarToRow (20)\n                     :                                +- Scan parquet  (19)\n                     +- BroadcastExchange (45)\n                        +- HashAggregate (44)\n                           +- ShuffleQueryStage (43)\n                              +- Exchange (42)\n                                 +- * HashAggregate (41)\n                                    +- * Project (40)\n                                       +- * BroadcastHashJoin LeftOuter BuildRight (39)\n                                          :- * Filter (33)\n                                          :  +- * ColumnarToRow (32)\n                                          :     +- Scan parquet  (31)\n                                          +- BroadcastQueryStage (38), Statistics(sizeInBytes=1024.1 KiB, rowCount=58)\n                                             +- BroadcastExchange (37)\n                                                +- * Filter (36)\n                                                   +- * ColumnarToRow (35)\n                                                      +- Scan parquet  (34)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (87)\n   +- WriteFiles (86)\n      +- Sort (85)\n         +- Exchange (84)\n            +- Project (83)\n               +- Project (82)\n                  +- BroadcastHashJoin LeftOuter BuildRight (81)\n                     :- Project (70)\n                     :  +- BroadcastHashJoin LeftOuter BuildRight (69)\n                     :     :- Project (63)\n                     :     :  +- BroadcastHashJoin LeftOuter BuildRight (62)\n                     :     :     :- Scan parquet  (53)\n                     :     :     +- BroadcastExchange (61)\n                     :     :        +- HashAggregate (60)\n                     :     :           +- Exchange (59)\n                     :     :              +- HashAggregate (58)\n                     :     :                 +- HashAggregate (57)\n                     :     :                    +- Exchange (56)\n                     :     :                       +- HashAggregate (55)\n                     :     :                          +- Filter (54)\n                     :     :                             +- Scan parquet  (2)\n                     :     +- BroadcastExchange (68)\n                     :        +- HashAggregate (67)\n                     :           +- Exchange (66)\n                     :              +- HashAggregate (65)\n                     :                 +- Filter (64)\n                     :                    +- Scan parquet  (19)\n                     +- BroadcastExchange (80)\n                        +- HashAggregate (79)\n                           +- Exchange (78)\n                              +- HashAggregate (77)\n                                 +- Project (76)\n                                    +- BroadcastHashJoin LeftOuter BuildRight (75)\n                                       :- Filter (72)\n                                       :  +- Scan parquet  (71)\n                                       +- BroadcastExchange (74)\n                                          +- Filter (73)\n                                             +- Scan parquet  (34)\n\n\n(1) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<id:bigint,title:string>\n\n(2) Scan parquet \nOutput [2]: [user_id#1L, course_id#2L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(3) ColumnarToRow [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\n\n(4) Filter [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\nCondition : isnotnull(course_id#2L)\n\n(5) HashAggregate [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(6) Exchange\nInput [2]: [course_id#2L, user_id#1L]\nArguments: hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=234]\n\n(7) ShuffleQueryStage\nOutput [2]: [course_id#2L, user_id#1L]\nArguments: 0\n\n(8) AQEShuffleRead\nInput [2]: [course_id#2L, user_id#1L]\nArguments: coalesced\n\n(9) HashAggregate [codegen id : 4]\nInput [2]: [course_id#2L, user_id#1L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(10) HashAggregate [codegen id : 4]\nInput [2]: [course_id#2L, user_id#1L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [partial_count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count#181L]\n\n(11) Exchange\nInput [2]: [course_id#2L, count#181L]\nArguments: hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=438]\n\n(12) ShuffleQueryStage\nOutput [2]: [course_id#2L, count#181L]\nArguments: 3\n\n(13) AQEShuffleRead\nInput [2]: [course_id#2L, count#181L]\nArguments: coalesced\n\n(14) HashAggregate [codegen id : 7]\nInput [2]: [course_id#2L, count#181L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count(user_id#1L)#39L AS unique_users#38L]\n\n(15) BroadcastExchange\nInput [2]: [course_id#2L, unique_users#38L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=699]\n\n(16) BroadcastQueryStage\nOutput [2]: [course_id#2L, unique_users#38L]\nArguments: 6\n\n(17) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#2L]\nJoin type: LeftOuter\nJoin condition: None\n\n(18) Project\nOutput [3]: [id#26L, title#27, unique_users#38L]\nInput [4]: [id#26L, title#27, course_id#2L, unique_users#38L]\n\n(19) Scan parquet \nOutput [1]: [course_id#9L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:bigint>\n\n(20) ColumnarToRow [codegen id : 2]\nInput [1]: [course_id#9L]\n\n(21) Filter [codegen id : 2]\nInput [1]: [course_id#9L]\nCondition : isnotnull(course_id#9L)\n\n(22) HashAggregate [codegen id : 2]\nInput [1]: [course_id#9L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#183L]\nResults [2]: [course_id#9L, count#184L]\n\n(23) Exchange\nInput [2]: [course_id#9L, count#184L]\nArguments: hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=261]\n\n(24) ShuffleQueryStage\nOutput [2]: [course_id#9L, count#184L]\nArguments: 1\n\n(25) AQEShuffleRead\nInput [2]: [course_id#9L, count#184L]\nArguments: coalesced\n\n(26) HashAggregate [codegen id : 5]\nInput [2]: [course_id#9L, count#184L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#48L]\nResults [2]: [course_id#9L, count(1)#48L AS lessons_count#49L]\n\n(27) BroadcastExchange\nInput [2]: [course_id#9L, lessons_count#49L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=573]\n\n(28) BroadcastQueryStage\nOutput [2]: [course_id#9L, lessons_count#49L]\nArguments: 4\n\n(29) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#9L]\nJoin type: LeftOuter\nJoin condition: None\n\n(30) Project\nOutput [4]: [id#26L, title#27, unique_users#38L, lessons_count#49L]\nInput [5]: [id#26L, title#27, unique_users#38L, course_id#9L, lessons_count#49L]\n\n(31) Scan parquet \nOutput [2]: [id#120L, course_id#121L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(32) ColumnarToRow [codegen id : 6]\nInput [2]: [id#120L, course_id#121L]\n\n(33) Filter [codegen id : 6]\nInput [2]: [id#120L, course_id#121L]\nCondition : isnotnull(course_id#121L)\n\n(34) Scan parquet \nOutput [2]: [lesson_id#20L, viewed_at#21]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:bigint,viewed_at:timestamp>\n\n(35) ColumnarToRow [codegen id : 3]\nInput [2]: [lesson_id#20L, viewed_at#21]\n\n(36) Filter [codegen id : 3]\nInput [2]: [lesson_id#20L, viewed_at#21]\nCondition : isnotnull(lesson_id#20L)\n\n(37) BroadcastExchange\nInput [2]: [lesson_id#20L, viewed_at#21]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=283]\n\n(38) BroadcastQueryStage\nOutput [2]: [lesson_id#20L, viewed_at#21]\nArguments: 2\n\n(39) BroadcastHashJoin [codegen id : 6]\nLeft keys [1]: [id#120L]\nRight keys [1]: [lesson_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(40) Project [codegen id : 6]\nOutput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nInput [4]: [id#120L, course_id#121L, lesson_id#20L, viewed_at#21]\n\n(41) HashAggregate [codegen id : 6]\nInput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nKeys [1]: [course_id#121L]\nFunctions [3]: [partial_count(lesson_id#20L), partial_max(viewed_at#21), partial_min(viewed_at#21)]\nAggregate Attributes [3]: [count#185L, max#186, min#187]\nResults [4]: [course_id#121L, count#188L, max#189, min#190]\n\n(42) Exchange\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: hashpartitioning(course_id#121L, 200), ENSURE_REQUIREMENTS, [plan_id=597]\n\n(43) ShuffleQueryStage\nOutput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: 5\n\n(44) HashAggregate\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nKeys [1]: [course_id#121L]\nFunctions [3]: [count(lesson_id#20L), max(viewed_at#21), min(viewed_at#21)]\nAggregate Attributes [3]: [count(lesson_id#20L)#81L, max(viewed_at#21)#83, min(viewed_at#21)#85]\nResults [4]: [course_id#121L, count(lesson_id#20L)#81L AS total_views#82L, max(viewed_at#21)#83 AS last_viewed_at#84, min(viewed_at#21)#85 AS first_viewed_at#86]\n\n(45) BroadcastExchange\nInput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=614]\n\n(46) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#121L]\nJoin type: LeftOuter\nJoin condition: None\n\n(47) Project\nOutput [7]: [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]\nInput [8]: [id#26L, title#27, unique_users#38L, lessons_count#49L, course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\n\n(48) Project\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]\nInput [7]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86]\n\n(49) Exchange\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=714]\n\n(50) Sort\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: [course_id#150L ASC NULLS FIRST], true, 0\n\n(51) WriteFiles\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\n\n(52) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]\n\n(53) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<id:bigint,title:string>\n\n(54) Filter\nInput [2]: [user_id#1L, course_id#2L]\nCondition : isnotnull(course_id#2L)\n\n(55) HashAggregate\nInput [2]: [user_id#1L, course_id#2L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(56) Exchange\nInput [2]: [course_id#2L, user_id#1L]\nArguments: hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(57) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(58) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [partial_count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count#181L]\n\n(59) Exchange\nInput [2]: [course_id#2L, count#181L]\nArguments: hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(60) HashAggregate\nInput [2]: [course_id#2L, count#181L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count(user_id#1L)#39L AS unique_users#38L]\n\n(61) BroadcastExchange\nInput [2]: [course_id#2L, unique_users#38L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=138]\n\n(62) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#2L]\nJoin type: LeftOuter\nJoin condition: None\n\n(63) Project\nOutput [3]: [id#26L, title#27, unique_users#38L]\nInput [4]: [id#26L, title#27, course_id#2L, unique_users#38L]\n\n(64) Filter\nInput [1]: [course_id#9L]\nCondition : isnotnull(course_id#9L)\n\n(65) HashAggregate\nInput [1]: [course_id#9L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#183L]\nResults [2]: [course_id#9L, count#184L]\n\n(66) Exchange\nInput [2]: [course_id#9L, count#184L]\nArguments: hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=141]\n\n(67) HashAggregate\nInput [2]: [course_id#9L, count#184L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#48L]\nResults [2]: [course_id#9L, count(1)#48L AS lessons_count#49L]\n\n(68) BroadcastExchange\nInput [2]: [course_id#9L, lessons_count#49L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=144]\n\n(69) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#9L]\nJoin type: LeftOuter\nJoin condition: None\n\n(70) Project\nOutput [4]: [id#26L, title#27, unique_users#38L, lessons_count#49L]\nInput [5]: [id#26L, title#27, unique_users#38L, course_id#9L, lessons_count#49L]\n\n(71) Scan parquet \nOutput [2]: [id#120L, course_id#121L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(72) Filter\nInput [2]: [id#120L, course_id#121L]\nCondition : isnotnull(course_id#121L)\n\n(73) Filter\nInput [2]: [lesson_id#20L, viewed_at#21]\nCondition : isnotnull(lesson_id#20L)\n\n(74) BroadcastExchange\nInput [2]: [lesson_id#20L, viewed_at#21]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=147]\n\n(75) BroadcastHashJoin\nLeft keys [1]: [id#120L]\nRight keys [1]: [lesson_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(76) Project\nOutput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nInput [4]: [id#120L, course_id#121L, lesson_id#20L, viewed_at#21]\n\n(77) HashAggregate\nInput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nKeys [1]: [course_id#121L]\nFunctions [3]: [partial_count(lesson_id#20L), partial_max(viewed_at#21), partial_min(viewed_at#21)]\nAggregate Attributes [3]: [count#185L, max#186, min#187]\nResults [4]: [course_id#121L, count#188L, max#189, min#190]\n\n(78) Exchange\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: hashpartitioning(course_id#121L, 200), ENSURE_REQUIREMENTS, [plan_id=152]\n\n(79) HashAggregate\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nKeys [1]: [course_id#121L]\nFunctions [3]: [count(lesson_id#20L), max(viewed_at#21), min(viewed_at#21)]\nAggregate Attributes [3]: [count(lesson_id#20L)#81L, max(viewed_at#21)#83, min(viewed_at#21)#85]\nResults [4]: [course_id#121L, count(lesson_id#20L)#81L AS total_views#82L, max(viewed_at#21)#83 AS last_viewed_at#84, min(viewed_at#21)#85 AS first_viewed_at#86]\n\n(80) BroadcastExchange\nInput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=155]\n\n(81) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#121L]\nJoin type: LeftOuter\nJoin condition: None\n\n(82) Project\nOutput [7]: [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]\nInput [8]: [id#26L, title#27, unique_users#38L, lessons_count#49L, course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\n\n(83) Project\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]\nInput [7]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86]\n\n(84) Exchange\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=160]\n\n(85) Sort\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: [course_id#150L ASC NULLS FIRST], true, 0\n\n(86) WriteFiles\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\n\n(87) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]\n\n(88) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#150L ASC NULLS FIRST], true, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=714]","children":[{"nodeName":"Project","simpleString":"Project [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]","children":[{"nodeName":"Project","simpleString":"Project [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#26L], [course_id#121L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#26L, title#27, unique_users#38L, lessons_count#49L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#26L], [course_id#9L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#26L, title#27, unique_users#38L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#26L], [course_id#2L], LeftOuter, BuildRight, false","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [id#26L,title#27] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/courses.parquet], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<id:bigint,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/courses.parquet]","ReadSchema":"struct<id:bigint,title:string>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[]","DataFilters":"[]"},"metrics":[{"name":"number of files read","accumulatorId":699,"metricType":"sum"},{"name":"scan time","accumulatorId":698,"metricType":"timing"},{"name":"metadata time","accumulatorId":700,"metricType":"timing"},{"name":"size of files read","accumulatorId":701,"metricType":"size"},{"name":"number of output rows","accumulatorId":697,"metricType":"sum"}]},{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 6","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=699]","children":[{"nodeName":"WholeStageCodegen (7)","simpleString":"WholeStageCodegen (7)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#2L], functions=[count(distinct user_id#1L)])","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 3","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=438]","children":[{"nodeName":"WholeStageCodegen (4)","simpleString":"WholeStageCodegen (4)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#2L], functions=[partial_count(distinct user_id#1L)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#2L, user_id#1L], functions=[])","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=234]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#2L, user_id#1L], functions=[])","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#2L)","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [user_id#1L,course_id#2L] Batched: true, DataFilters: [isnotnull(course_id#2L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/enrollments.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<user_id:bigint,course_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/enrollments.parquet]","ReadSchema":"struct<user_id:bigint,course_id:bigint>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#2L)]"},"metrics":[{"name":"number of files read","accumulatorId":256,"metricType":"sum"},{"name":"scan time","accumulatorId":255,"metricType":"timing"},{"name":"metadata time","accumulatorId":257,"metricType":"timing"},{"name":"size of files read","accumulatorId":258,"metricType":"size"},{"name":"number of output rows","accumulatorId":254,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":464,"metricType":"sum"},{"name":"number of input batches","accumulatorId":465,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":463,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":459,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":460,"metricType":"timing"},{"name":"peak memory","accumulatorId":458,"metricType":"size"},{"name":"number of output rows","accumulatorId":457,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":462,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":461,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":456,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":454,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":448,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":455,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":449,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":446,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":443,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":452,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":445,"metricType":"sum"},{"name":"records read","accumulatorId":442,"metricType":"sum"},{"name":"local bytes read","accumulatorId":440,"metricType":"size"},{"name":"fetch wait time","accumulatorId":441,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":438,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":444,"metricType":"sum"},{"name":"local blocks read","accumulatorId":437,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":447,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":436,"metricType":"sum"},{"name":"data size","accumulatorId":434,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":450,"metricType":"size"},{"name":"number of partitions","accumulatorId":435,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":451,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":439,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":453,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of partitions","accumulatorId":748,"metricType":"sum"},{"name":"partition data size","accumulatorId":749,"metricType":"size"},{"name":"number of coalesced partitions","accumulatorId":750,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":744,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":745,"metricType":"timing"},{"name":"peak memory","accumulatorId":743,"metricType":"size"},{"name":"number of output rows","accumulatorId":742,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":747,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":746,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":738,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":739,"metricType":"timing"},{"name":"peak memory","accumulatorId":737,"metricType":"size"},{"name":"number of output rows","accumulatorId":736,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":741,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":740,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":735,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":733,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":727,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":734,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":728,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":725,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":722,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":731,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":724,"metricType":"sum"},{"name":"records read","accumulatorId":721,"metricType":"sum"},{"name":"local bytes read","accumulatorId":719,"metricType":"size"},{"name":"fetch wait time","accumulatorId":720,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":717,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":723,"metricType":"sum"},{"name":"local blocks read","accumulatorId":716,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":726,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":715,"metricType":"sum"},{"name":"data size","accumulatorId":713,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":729,"metricType":"size"},{"name":"number of partitions","accumulatorId":714,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":730,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":718,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":732,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of partitions","accumulatorId":1033,"metricType":"sum"},{"name":"partition data size","accumulatorId":1034,"metricType":"size"},{"name":"number of 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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":104,"Executor Deserialize CPU Time":54139198,"Executor Run Time":230,"Executor CPU Time":145679503,"Peak Execution Memory":264128,"Result Size":3877,"JVM GC Time":0,"Result Serialization Time":0,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":0,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":0,"Total Records Read":0,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":380,"Shuffle Write Time":3621761,"Shuffle Records Written":5},"Input Metrics":{"Bytes Read":6122,"Records Read":18},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":11,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":29,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"51\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[28],"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":26,"Name":"FileScanRDD","Scope":"{\"id\":\"65\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":28,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"52\",\"name\":\"WholeStageCodegen (6)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[27],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":27,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"65\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[26],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[],"Details":"org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:792)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1782915005550,"Completion Time":1782915005914,"Accumulables":[{"ID":797,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":798,"Name":"scan time","Value":"107","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":890,"Name":"data size","Value":"200","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":909,"Name":"shuffle bytes written","Value":"380","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":910,"Name":"shuffle records written","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":911,"Name":"shuffle write time","Value":"3621761","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":912,"Name":"duration","Value":"176","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":913,"Name":"number of output rows","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":914,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":916,"Name":"time in aggregation build","Value":"112","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":919,"Name":"number of output rows","Value":"61","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":920,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":921,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":922,"Name":"number of input batches","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":958,"Name":"internal.metrics.executorDeserializeTime","Value":104,"Internal":true,"Count Failed Values":true},{"ID":959,"Name":"internal.metrics.executorDeserializeCpuTime","Value":54139198,"Internal":true,"Count Failed Values":true},{"ID":960,"Name":"internal.metrics.executorRunTime","Value":230,"Internal":true,"Count Failed Values":true},{"ID":961,"Name":"internal.metrics.executorCpuTime","Value":145679503,"Internal":true,"Count Failed Values":true},{"ID":962,"Name":"internal.metrics.resultSize","Value":3877,"Internal":true,"Count Failed Values":true},{"ID":967,"Name":"internal.metrics.peakExecutionMemory","Value":264128,"Internal":true,"Count Failed Values":true},{"ID":986,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":380,"Internal":true,"Count Failed Values":true},{"ID":987,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":5,"Internal":true,"Count Failed Values":true},{"ID":988,"Name":"internal.metrics.shuffle.write.writeTime","Value":3621761,"Internal":true,"Count Failed Values":true},{"ID":989,"Name":"internal.metrics.input.bytesRead","Value":6122,"Internal":true,"Count Failed Values":true},{"ID":990,"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":9,"Completion Time":1782915005917,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (90)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (54)\n   +- WriteFiles (53)\n      +- Sort (52)\n         +- Exchange (51)\n            +- Project (50)\n               +- Project (49)\n                  +- BroadcastHashJoin LeftOuter BuildRight (48)\n                     :- Project (30)\n                     :  +- BroadcastHashJoin LeftOuter BuildRight (29)\n                     :     :- Project (18)\n                     :     :  +- BroadcastHashJoin LeftOuter BuildRight (17)\n                     :     :     :- Scan parquet  (1)\n                     :     :     +- BroadcastQueryStage (16), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                     :     :        +- BroadcastExchange (15)\n                     :     :           +- * HashAggregate (14)\n                     :     :              +- AQEShuffleRead (13)\n                     :     :                 +- ShuffleQueryStage (12), Statistics(sizeInBytes=120.0 B, rowCount=5)\n                     :     :                    +- Exchange (11)\n                     :     :                       +- * HashAggregate (10)\n                     :     :                          +- * HashAggregate (9)\n                     :     :                             +- AQEShuffleRead (8)\n                     :     :                                +- ShuffleQueryStage (7), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                     :     :                                   +- Exchange (6)\n                     :     :                                      +- * HashAggregate (5)\n                     :     :                                         +- * Filter (4)\n                     :     :                                            +- * ColumnarToRow (3)\n                     :     :                                               +- Scan parquet  (2)\n                     :     +- BroadcastQueryStage (28), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                     :        +- BroadcastExchange (27)\n                     :           +- * HashAggregate (26)\n                     :              +- AQEShuffleRead (25)\n                     :                 +- ShuffleQueryStage (24), Statistics(sizeInBytes=120.0 B, rowCount=5)\n                     :                    +- Exchange (23)\n                     :                       +- * HashAggregate (22)\n                     :                          +- * Filter (21)\n                     :                             +- * ColumnarToRow (20)\n                     :                                +- Scan parquet  (19)\n                     +- BroadcastQueryStage (47)\n                        +- BroadcastExchange (46)\n                           +- * HashAggregate (45)\n                              +- AQEShuffleRead (44)\n                                 +- ShuffleQueryStage (43), Statistics(sizeInBytes=200.0 B, rowCount=5)\n                                    +- Exchange (42)\n                                       +- * HashAggregate (41)\n                                          +- * Project (40)\n                                             +- * BroadcastHashJoin LeftOuter BuildRight (39)\n                                                :- * Filter (33)\n                                                :  +- * ColumnarToRow (32)\n                                                :     +- Scan parquet  (31)\n                                                +- BroadcastQueryStage (38), Statistics(sizeInBytes=1024.1 KiB, rowCount=58)\n                                                   +- BroadcastExchange (37)\n                                                      +- * Filter (36)\n                                                         +- * ColumnarToRow (35)\n                                                            +- Scan parquet  (34)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (89)\n   +- WriteFiles (88)\n      +- Sort (87)\n         +- Exchange (86)\n            +- Project (85)\n               +- Project (84)\n                  +- BroadcastHashJoin LeftOuter BuildRight (83)\n                     :- Project (72)\n                     :  +- BroadcastHashJoin LeftOuter BuildRight (71)\n                     :     :- Project (65)\n                     :     :  +- BroadcastHashJoin LeftOuter BuildRight (64)\n                     :     :     :- Scan parquet  (55)\n                     :     :     +- BroadcastExchange (63)\n                     :     :        +- HashAggregate (62)\n                     :     :           +- Exchange (61)\n                     :     :              +- HashAggregate (60)\n                     :     :                 +- HashAggregate (59)\n                     :     :                    +- Exchange (58)\n                     :     :                       +- HashAggregate (57)\n                     :     :                          +- Filter (56)\n                     :     :                             +- Scan parquet  (2)\n                     :     +- BroadcastExchange (70)\n                     :        +- HashAggregate (69)\n                     :           +- Exchange (68)\n                     :              +- HashAggregate (67)\n                     :                 +- Filter (66)\n                     :                    +- Scan parquet  (19)\n                     +- BroadcastExchange (82)\n                        +- HashAggregate (81)\n                           +- Exchange (80)\n                              +- HashAggregate (79)\n                                 +- Project (78)\n                                    +- BroadcastHashJoin LeftOuter BuildRight (77)\n                                       :- Filter (74)\n                                       :  +- Scan parquet  (73)\n                                       +- BroadcastExchange (76)\n                                          +- Filter (75)\n                                             +- Scan parquet  (34)\n\n\n(1) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<id:bigint,title:string>\n\n(2) Scan parquet \nOutput [2]: [user_id#1L, course_id#2L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(3) ColumnarToRow [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\n\n(4) Filter [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\nCondition : isnotnull(course_id#2L)\n\n(5) HashAggregate [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(6) Exchange\nInput [2]: [course_id#2L, user_id#1L]\nArguments: hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=234]\n\n(7) ShuffleQueryStage\nOutput [2]: [course_id#2L, user_id#1L]\nArguments: 0\n\n(8) AQEShuffleRead\nInput [2]: [course_id#2L, user_id#1L]\nArguments: coalesced\n\n(9) HashAggregate [codegen id : 4]\nInput [2]: [course_id#2L, user_id#1L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(10) HashAggregate [codegen id : 4]\nInput [2]: [course_id#2L, user_id#1L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [partial_count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count#181L]\n\n(11) Exchange\nInput [2]: [course_id#2L, count#181L]\nArguments: hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=438]\n\n(12) ShuffleQueryStage\nOutput [2]: [course_id#2L, count#181L]\nArguments: 3\n\n(13) AQEShuffleRead\nInput [2]: [course_id#2L, count#181L]\nArguments: coalesced\n\n(14) HashAggregate [codegen id : 7]\nInput [2]: [course_id#2L, count#181L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count(user_id#1L)#39L AS unique_users#38L]\n\n(15) BroadcastExchange\nInput [2]: [course_id#2L, unique_users#38L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=699]\n\n(16) BroadcastQueryStage\nOutput [2]: [course_id#2L, unique_users#38L]\nArguments: 6\n\n(17) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#2L]\nJoin type: LeftOuter\nJoin condition: None\n\n(18) Project\nOutput [3]: [id#26L, title#27, unique_users#38L]\nInput [4]: [id#26L, title#27, course_id#2L, unique_users#38L]\n\n(19) Scan parquet \nOutput [1]: [course_id#9L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:bigint>\n\n(20) ColumnarToRow [codegen id : 2]\nInput [1]: [course_id#9L]\n\n(21) Filter [codegen id : 2]\nInput [1]: [course_id#9L]\nCondition : isnotnull(course_id#9L)\n\n(22) HashAggregate [codegen id : 2]\nInput [1]: [course_id#9L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#183L]\nResults [2]: [course_id#9L, count#184L]\n\n(23) Exchange\nInput [2]: [course_id#9L, count#184L]\nArguments: hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=261]\n\n(24) ShuffleQueryStage\nOutput [2]: [course_id#9L, count#184L]\nArguments: 1\n\n(25) AQEShuffleRead\nInput [2]: [course_id#9L, count#184L]\nArguments: coalesced\n\n(26) HashAggregate [codegen id : 5]\nInput [2]: [course_id#9L, count#184L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#48L]\nResults [2]: [course_id#9L, count(1)#48L AS lessons_count#49L]\n\n(27) BroadcastExchange\nInput [2]: [course_id#9L, lessons_count#49L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=573]\n\n(28) BroadcastQueryStage\nOutput [2]: [course_id#9L, lessons_count#49L]\nArguments: 4\n\n(29) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#9L]\nJoin type: LeftOuter\nJoin condition: None\n\n(30) Project\nOutput [4]: [id#26L, title#27, unique_users#38L, lessons_count#49L]\nInput [5]: [id#26L, title#27, unique_users#38L, course_id#9L, lessons_count#49L]\n\n(31) Scan parquet \nOutput [2]: [id#120L, course_id#121L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(32) ColumnarToRow [codegen id : 6]\nInput [2]: [id#120L, course_id#121L]\n\n(33) Filter [codegen id : 6]\nInput [2]: [id#120L, course_id#121L]\nCondition : isnotnull(course_id#121L)\n\n(34) Scan parquet \nOutput [2]: [lesson_id#20L, viewed_at#21]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:bigint,viewed_at:timestamp>\n\n(35) ColumnarToRow [codegen id : 3]\nInput [2]: [lesson_id#20L, viewed_at#21]\n\n(36) Filter [codegen id : 3]\nInput [2]: [lesson_id#20L, viewed_at#21]\nCondition : isnotnull(lesson_id#20L)\n\n(37) BroadcastExchange\nInput [2]: [lesson_id#20L, viewed_at#21]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=283]\n\n(38) BroadcastQueryStage\nOutput [2]: [lesson_id#20L, viewed_at#21]\nArguments: 2\n\n(39) BroadcastHashJoin [codegen id : 6]\nLeft keys [1]: [id#120L]\nRight keys [1]: [lesson_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(40) Project [codegen id : 6]\nOutput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nInput [4]: [id#120L, course_id#121L, lesson_id#20L, viewed_at#21]\n\n(41) HashAggregate [codegen id : 6]\nInput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nKeys [1]: [course_id#121L]\nFunctions [3]: [partial_count(lesson_id#20L), partial_max(viewed_at#21), partial_min(viewed_at#21)]\nAggregate Attributes [3]: [count#185L, max#186, min#187]\nResults [4]: [course_id#121L, count#188L, max#189, min#190]\n\n(42) Exchange\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: hashpartitioning(course_id#121L, 200), ENSURE_REQUIREMENTS, [plan_id=597]\n\n(43) ShuffleQueryStage\nOutput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: 5\n\n(44) AQEShuffleRead\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: coalesced\n\n(45) HashAggregate [codegen id : 8]\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nKeys [1]: [course_id#121L]\nFunctions [3]: [count(lesson_id#20L), max(viewed_at#21), min(viewed_at#21)]\nAggregate Attributes [3]: [count(lesson_id#20L)#81L, max(viewed_at#21)#83, min(viewed_at#21)#85]\nResults [4]: [course_id#121L, count(lesson_id#20L)#81L AS total_views#82L, max(viewed_at#21)#83 AS last_viewed_at#84, min(viewed_at#21)#85 AS first_viewed_at#86]\n\n(46) BroadcastExchange\nInput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=905]\n\n(47) BroadcastQueryStage\nOutput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: 7\n\n(48) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#121L]\nJoin type: LeftOuter\nJoin condition: None\n\n(49) Project\nOutput [7]: [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]\nInput [8]: [id#26L, title#27, unique_users#38L, lessons_count#49L, course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\n\n(50) Project\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]\nInput [7]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86]\n\n(51) Exchange\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=916]\n\n(52) Sort\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: [course_id#150L ASC NULLS FIRST], true, 0\n\n(53) WriteFiles\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\n\n(54) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]\n\n(55) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<id:bigint,title:string>\n\n(56) Filter\nInput [2]: [user_id#1L, course_id#2L]\nCondition : isnotnull(course_id#2L)\n\n(57) HashAggregate\nInput [2]: [user_id#1L, course_id#2L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(58) Exchange\nInput [2]: [course_id#2L, user_id#1L]\nArguments: hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(59) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(60) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [partial_count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count#181L]\n\n(61) Exchange\nInput [2]: [course_id#2L, count#181L]\nArguments: hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(62) HashAggregate\nInput [2]: [course_id#2L, count#181L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count(user_id#1L)#39L AS unique_users#38L]\n\n(63) BroadcastExchange\nInput [2]: [course_id#2L, unique_users#38L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=138]\n\n(64) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#2L]\nJoin type: LeftOuter\nJoin condition: None\n\n(65) Project\nOutput [3]: [id#26L, title#27, unique_users#38L]\nInput [4]: [id#26L, title#27, course_id#2L, unique_users#38L]\n\n(66) Filter\nInput [1]: [course_id#9L]\nCondition : isnotnull(course_id#9L)\n\n(67) HashAggregate\nInput [1]: [course_id#9L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#183L]\nResults [2]: [course_id#9L, count#184L]\n\n(68) Exchange\nInput [2]: [course_id#9L, count#184L]\nArguments: hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=141]\n\n(69) HashAggregate\nInput [2]: [course_id#9L, count#184L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#48L]\nResults [2]: [course_id#9L, count(1)#48L AS lessons_count#49L]\n\n(70) BroadcastExchange\nInput [2]: [course_id#9L, lessons_count#49L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=144]\n\n(71) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#9L]\nJoin type: LeftOuter\nJoin condition: None\n\n(72) Project\nOutput [4]: [id#26L, title#27, unique_users#38L, lessons_count#49L]\nInput [5]: [id#26L, title#27, unique_users#38L, course_id#9L, lessons_count#49L]\n\n(73) Scan parquet \nOutput [2]: [id#120L, course_id#121L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(74) Filter\nInput [2]: [id#120L, course_id#121L]\nCondition : isnotnull(course_id#121L)\n\n(75) Filter\nInput [2]: [lesson_id#20L, viewed_at#21]\nCondition : isnotnull(lesson_id#20L)\n\n(76) BroadcastExchange\nInput [2]: [lesson_id#20L, viewed_at#21]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=147]\n\n(77) BroadcastHashJoin\nLeft keys [1]: [id#120L]\nRight keys [1]: [lesson_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(78) Project\nOutput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nInput [4]: [id#120L, course_id#121L, lesson_id#20L, viewed_at#21]\n\n(79) HashAggregate\nInput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nKeys [1]: [course_id#121L]\nFunctions [3]: [partial_count(lesson_id#20L), partial_max(viewed_at#21), partial_min(viewed_at#21)]\nAggregate Attributes [3]: [count#185L, max#186, min#187]\nResults [4]: [course_id#121L, count#188L, max#189, min#190]\n\n(80) Exchange\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: hashpartitioning(course_id#121L, 200), ENSURE_REQUIREMENTS, [plan_id=152]\n\n(81) HashAggregate\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nKeys [1]: [course_id#121L]\nFunctions [3]: [count(lesson_id#20L), max(viewed_at#21), min(viewed_at#21)]\nAggregate Attributes [3]: [count(lesson_id#20L)#81L, max(viewed_at#21)#83, min(viewed_at#21)#85]\nResults [4]: [course_id#121L, count(lesson_id#20L)#81L AS total_views#82L, max(viewed_at#21)#83 AS last_viewed_at#84, min(viewed_at#21)#85 AS first_viewed_at#86]\n\n(82) BroadcastExchange\nInput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=155]\n\n(83) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#121L]\nJoin type: LeftOuter\nJoin condition: None\n\n(84) Project\nOutput [7]: [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]\nInput [8]: [id#26L, title#27, unique_users#38L, lessons_count#49L, course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\n\n(85) Project\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]\nInput [7]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86]\n\n(86) Exchange\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=160]\n\n(87) Sort\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: [course_id#150L ASC NULLS FIRST], true, 0\n\n(88) WriteFiles\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\n\n(89) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]\n\n(90) 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/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#150L ASC NULLS FIRST], true, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=916]","children":[{"nodeName":"Project","simpleString":"Project [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]","children":[{"nodeName":"Project","simpleString":"Project [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#26L], [course_id#121L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#26L, title#27, unique_users#38L, lessons_count#49L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#26L], [course_id#9L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#26L, title#27, unique_users#38L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#26L], [course_id#2L], LeftOuter, BuildRight, false","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [id#26L,title#27] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/courses.parquet], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<id:bigint,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/courses.parquet]","ReadSchema":"struct<id:bigint,title:string>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[]","DataFilters":"[]"},"metrics":[{"name":"number of files read","accumulatorId":1107,"metricType":"sum"},{"name":"scan time","accumulatorId":1106,"metricType":"timing"},{"name":"metadata time","accumulatorId":1108,"metricType":"timing"},{"name":"size of files read","accumulatorId":1109,"metricType":"size"},{"name":"number of output rows","accumulatorId":1105,"metricType":"sum"}]},{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 6","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=699]","children":[{"nodeName":"WholeStageCodegen (7)","simpleString":"WholeStageCodegen (7)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#2L], functions=[count(distinct user_id#1L)])","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 3","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=438]","children":[{"nodeName":"WholeStageCodegen (4)","simpleString":"WholeStageCodegen (4)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#2L], functions=[partial_count(distinct user_id#1L)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#2L, user_id#1L], functions=[])","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=234]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#2L, user_id#1L], functions=[])","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#2L)","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [user_id#1L,course_id#2L] Batched: true, DataFilters: [isnotnull(course_id#2L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/enrollments.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<user_id:bigint,course_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/enrollments.parquet]","ReadSchema":"struct<user_id:bigint,course_id:bigint>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#2L)]"},"metrics":[{"name":"number of files read","accumulatorId":256,"metricType":"sum"},{"name":"scan time","accumulatorId":255,"metricType":"timing"},{"name":"metadata time","accumulatorId":257,"metricType":"timing"},{"name":"size of files read","accumulatorId":258,"metricType":"size"},{"name":"number of output rows","accumulatorId":254,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":464,"metricType":"sum"},{"name":"number of input batches","accumulatorId":465,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":463,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":459,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":460,"metricType":"timing"},{"name":"peak memory","accumulatorId":458,"metricType":"size"},{"name":"number of output rows","accumulatorId":457,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":462,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":461,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":456,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":454,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":448,"metricType":"sum"},{"name":"shuffle write 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memory","accumulatorId":743,"metricType":"size"},{"name":"number of output rows","accumulatorId":742,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":747,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":746,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":738,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":739,"metricType":"timing"},{"name":"peak memory","accumulatorId":737,"metricType":"size"},{"name":"number of output rows","accumulatorId":736,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":741,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":740,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":735,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":733,"metricType":"sum"},{"name":"local merged chunks 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fetched","accumulatorId":726,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":715,"metricType":"sum"},{"name":"data size","accumulatorId":713,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":729,"metricType":"size"},{"name":"number of partitions","accumulatorId":714,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":730,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":718,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":732,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of partitions","accumulatorId":1033,"metricType":"sum"},{"name":"partition data size","accumulatorId":1034,"metricType":"size"},{"name":"number of coalesced partitions","accumulatorId":1035,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":1029,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":1030,"metricType":"timing"},{"name":"peak memory","accumulatorId":1028,"metricType":"size"},{"name":"number of output rows","accumulatorId":1027,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":1032,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":1031,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":1026,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":1025,"metricType":"timing"},{"name":"time to build","accumulatorId":1024,"metricType":"timing"},{"name":"time to collect","accumulatorId":1023,"metricType":"timing"},{"name":"number of output rows","accumulatorId":1022,"metricType":"sum"},{"name":"data size","accumulatorId":1021,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":1104,"metricType":"sum"}]}],"metadata":{},"metrics":[]},{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 4","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=573]","children":[{"nodeName":"WholeStageCodegen (5)","simpleString":"WholeStageCodegen (5)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#9L], functions=[count(1)])","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 1","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=261]","children":[{"nodeName":"WholeStageCodegen (2)","simpleString":"WholeStageCodegen 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Count":0},"Properties":{"spark.driver.port":"37817","spark.submit.pyFiles":"","spark.app.startTime":"1782914995479","spark.rdd.scope":"{\"id\":\"88\",\"name\":\"BroadcastExchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.app.submitTime":"1782914994482","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.job.interruptOnCancel":"true","spark.hadoop.fs.s3a.secret.key":"*********(redacted)","spark.executor.id":"driver","spark.app.name":"dm_course_summary","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-20260701180956-0044","spark.eventLog.compress":"true","spark.eventLog.enabled":"true","__fetch_continuous_blocks_in_batch_enabled":"true","spark.job.tags":"broadcast exchange (runId 47da19d3-7fee-4e13-8166-be9211f98551)","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":16,"Stage Attempt ID":0,"Task Info":{"Task ID":11,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1782915005993,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":0,"Failed":false,"Killed":false,"Accumulables":[]}}
{"Event":"SparkListenerTaskEnd","Stage ID":16,"Stage Attempt ID":0,"Task Type":"ResultTask","Task End Reason":{"Reason":"Success"},"Task Info":{"Task ID":11,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1782915005993,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":1782915006084,"Failed":false,"Killed":false,"Accumulables":[{"ID":893,"Name":"local blocks read","Update":"1","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":896,"Name":"local bytes read","Update":"380","Value":"380","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":897,"Name":"fetch wait time","Update":"0","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":898,"Name":"records read","Update":"5","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1115,"Name":"duration","Update":"9","Value":"9","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1116,"Name":"number of output rows","Update":"5","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1117,"Name":"peak memory","Update":"4456432","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1119,"Name":"time in aggregation build","Update":"0","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1120,"Name":"avg hash probes per key","Update":"10","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1125,"Name":"internal.metrics.executorDeserializeTime","Update":34,"Value":34,"Internal":true,"Count Failed Values":true},{"ID":1126,"Name":"internal.metrics.executorDeserializeCpuTime","Update":12811586,"Value":12811586,"Internal":true,"Count Failed Values":true},{"ID":1127,"Name":"internal.metrics.executorRunTime","Update":46,"Value":46,"Internal":true,"Count Failed Values":true},{"ID":1128,"Name":"internal.metrics.executorCpuTime","Update":34016672,"Value":34016672,"Internal":true,"Count Failed Values":true},{"ID":1129,"Name":"internal.metrics.resultSize","Update":6411,"Value":6411,"Internal":true,"Count Failed Values":true},{"ID":1134,"Name":"internal.metrics.peakExecutionMemory","Update":4456432,"Value":4456432,"Internal":true,"Count Failed Values":true},{"ID":1136,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1137,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Update":1,"Value":1,"Internal":true,"Count Failed Values":true},{"ID":1138,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1139,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1140,"Name":"internal.metrics.shuffle.read.localBytesRead","Update":380,"Value":380,"Internal":true,"Count Failed Values":true},{"ID":1141,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1142,"Name":"internal.metrics.shuffle.read.recordsRead","Update":5,"Value":5,"Internal":true,"Count Failed Values":true},{"ID":1143,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1144,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1145,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1146,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1147,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1148,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1149,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1150,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1151,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1152,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true}]},"Task Executor Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":34,"Executor Deserialize CPU Time":12811586,"Executor Run Time":46,"Executor CPU Time":34016672,"Peak Execution Memory":4456432,"Result Size":6411,"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":380,"Total Records Read":5,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":0,"Shuffle Write Time":0,"Shuffle Records Written":0},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":16,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":35,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"88\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[34],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":34,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"89\",\"name\":\"WholeStageCodegen (8)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[33],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":33,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"92\",\"name\":\"AQEShuffleRead\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[29],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[15],"Details":"org.apache.spark.sql.execution.SQLExecution$.$anonfun$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":1782915005979,"Completion Time":1782915006087,"Accumulables":[{"ID":893,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":896,"Name":"local bytes read","Value":"380","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":897,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":898,"Name":"records read","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1115,"Name":"duration","Value":"9","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1116,"Name":"number of output rows","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1117,"Name":"peak memory","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1119,"Name":"time in aggregation build","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1120,"Name":"avg hash probes per key","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1125,"Name":"internal.metrics.executorDeserializeTime","Value":34,"Internal":true,"Count Failed Values":true},{"ID":1126,"Name":"internal.metrics.executorDeserializeCpuTime","Value":12811586,"Internal":true,"Count Failed Values":true},{"ID":1127,"Name":"internal.metrics.executorRunTime","Value":46,"Internal":true,"Count Failed Values":true},{"ID":1128,"Name":"internal.metrics.executorCpuTime","Value":34016672,"Internal":true,"Count Failed Values":true},{"ID":1129,"Name":"internal.metrics.resultSize","Value":6411,"Internal":true,"Count Failed Values":true},{"ID":1134,"Name":"internal.metrics.peakExecutionMemory","Value":4456432,"Internal":true,"Count Failed Values":true},{"ID":1136,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1137,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":1138,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1139,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1140,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":380,"Internal":true,"Count Failed Values":true},{"ID":1141,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1142,"Name":"internal.metrics.shuffle.read.recordsRead","Value":5,"Internal":true,"Count Failed Values":true},{"ID":1143,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1144,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1145,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1146,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1147,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1148,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1149,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1150,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1151,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1152,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":11,"Completion Time":1782915006087,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[1114,7],[1113,6],[1112,139],[1111,5],[1110,1048616]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (92)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (56)\n   +- WriteFiles (55)\n      +- Sort (54)\n         +- ShuffleQueryStage (53)\n            +- Exchange (52)\n               +- * Project (51)\n                  +- * Project (50)\n                     +- * BroadcastHashJoin LeftOuter BuildRight (49)\n                        :- * Project (31)\n                        :  +- * BroadcastHashJoin LeftOuter BuildRight (30)\n                        :     :- * Project (19)\n                        :     :  +- * BroadcastHashJoin LeftOuter BuildRight (18)\n                        :     :     :- * ColumnarToRow (2)\n                        :     :     :  +- Scan parquet  (1)\n                        :     :     +- BroadcastQueryStage (17), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                        :     :        +- BroadcastExchange (16)\n                        :     :           +- * HashAggregate (15)\n                        :     :              +- AQEShuffleRead (14)\n                        :     :                 +- ShuffleQueryStage (13), Statistics(sizeInBytes=120.0 B, rowCount=5)\n                        :     :                    +- Exchange (12)\n                        :     :                       +- * HashAggregate (11)\n                        :     :                          +- * HashAggregate (10)\n                        :     :                             +- AQEShuffleRead (9)\n                        :     :                                +- ShuffleQueryStage (8), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                        :     :                                   +- Exchange (7)\n                        :     :                                      +- * HashAggregate (6)\n                        :     :                                         +- * Filter (5)\n                        :     :                                            +- * ColumnarToRow (4)\n                        :     :                                               +- Scan parquet  (3)\n                        :     +- BroadcastQueryStage (29), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                        :        +- BroadcastExchange (28)\n                        :           +- * HashAggregate (27)\n                        :              +- AQEShuffleRead (26)\n                        :                 +- ShuffleQueryStage (25), Statistics(sizeInBytes=120.0 B, rowCount=5)\n                        :                    +- Exchange (24)\n                        :                       +- * HashAggregate (23)\n                        :                          +- * Filter (22)\n                        :                             +- * ColumnarToRow (21)\n                        :                                +- Scan parquet  (20)\n                        +- BroadcastQueryStage (48), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                           +- BroadcastExchange (47)\n                              +- * HashAggregate (46)\n                                 +- AQEShuffleRead (45)\n                                    +- ShuffleQueryStage (44), Statistics(sizeInBytes=200.0 B, rowCount=5)\n                                       +- Exchange (43)\n                                          +- * HashAggregate (42)\n                                             +- * Project (41)\n                                                +- * BroadcastHashJoin LeftOuter BuildRight (40)\n                                                   :- * Filter (34)\n                                                   :  +- * ColumnarToRow (33)\n                                                   :     +- Scan parquet  (32)\n                                                   +- BroadcastQueryStage (39), Statistics(sizeInBytes=1024.1 KiB, rowCount=58)\n                                                      +- BroadcastExchange (38)\n                                                         +- * Filter (37)\n                                                            +- * ColumnarToRow (36)\n                                                               +- Scan parquet  (35)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (91)\n   +- WriteFiles (90)\n      +- Sort (89)\n         +- Exchange (88)\n            +- Project (87)\n               +- Project (86)\n                  +- BroadcastHashJoin LeftOuter BuildRight (85)\n                     :- Project (74)\n                     :  +- BroadcastHashJoin LeftOuter BuildRight (73)\n                     :     :- Project (67)\n                     :     :  +- BroadcastHashJoin LeftOuter BuildRight (66)\n                     :     :     :- Scan parquet  (57)\n                     :     :     +- BroadcastExchange (65)\n                     :     :        +- HashAggregate (64)\n                     :     :           +- Exchange (63)\n                     :     :              +- HashAggregate (62)\n                     :     :                 +- HashAggregate (61)\n                     :     :                    +- Exchange (60)\n                     :     :                       +- HashAggregate (59)\n                     :     :                          +- Filter (58)\n                     :     :                             +- Scan parquet  (3)\n                     :     +- BroadcastExchange (72)\n                     :        +- HashAggregate (71)\n                     :           +- Exchange (70)\n                     :              +- HashAggregate (69)\n                     :                 +- Filter (68)\n                     :                    +- Scan parquet  (20)\n                     +- BroadcastExchange (84)\n                        +- HashAggregate (83)\n                           +- Exchange (82)\n                              +- HashAggregate (81)\n                                 +- Project (80)\n                                    +- BroadcastHashJoin LeftOuter BuildRight (79)\n                                       :- Filter (76)\n                                       :  +- Scan parquet  (75)\n                                       +- BroadcastExchange (78)\n                                          +- Filter (77)\n                                             +- Scan parquet  (35)\n\n\n(1) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<id:bigint,title:string>\n\n(2) ColumnarToRow [codegen id : 9]\nInput [2]: [id#26L, title#27]\n\n(3) Scan parquet \nOutput [2]: [user_id#1L, course_id#2L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(4) ColumnarToRow [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\n\n(5) Filter [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\nCondition : isnotnull(course_id#2L)\n\n(6) HashAggregate [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(7) Exchange\nInput [2]: [course_id#2L, user_id#1L]\nArguments: hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=234]\n\n(8) ShuffleQueryStage\nOutput [2]: [course_id#2L, user_id#1L]\nArguments: 0\n\n(9) AQEShuffleRead\nInput [2]: [course_id#2L, user_id#1L]\nArguments: coalesced\n\n(10) HashAggregate [codegen id : 4]\nInput [2]: [course_id#2L, user_id#1L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(11) HashAggregate [codegen id : 4]\nInput [2]: [course_id#2L, user_id#1L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [partial_count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count#181L]\n\n(12) Exchange\nInput [2]: [course_id#2L, count#181L]\nArguments: hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=438]\n\n(13) ShuffleQueryStage\nOutput [2]: [course_id#2L, count#181L]\nArguments: 3\n\n(14) AQEShuffleRead\nInput [2]: [course_id#2L, count#181L]\nArguments: coalesced\n\n(15) HashAggregate [codegen id : 7]\nInput [2]: [course_id#2L, count#181L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count(user_id#1L)#39L AS unique_users#38L]\n\n(16) BroadcastExchange\nInput [2]: [course_id#2L, unique_users#38L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=699]\n\n(17) BroadcastQueryStage\nOutput [2]: [course_id#2L, unique_users#38L]\nArguments: 6\n\n(18) BroadcastHashJoin [codegen id : 9]\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#2L]\nJoin type: LeftOuter\nJoin condition: None\n\n(19) Project [codegen id : 9]\nOutput [3]: [id#26L, title#27, unique_users#38L]\nInput [4]: [id#26L, title#27, course_id#2L, unique_users#38L]\n\n(20) Scan parquet \nOutput [1]: [course_id#9L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:bigint>\n\n(21) ColumnarToRow [codegen id : 2]\nInput [1]: [course_id#9L]\n\n(22) Filter [codegen id : 2]\nInput [1]: [course_id#9L]\nCondition : isnotnull(course_id#9L)\n\n(23) HashAggregate [codegen id : 2]\nInput [1]: [course_id#9L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#183L]\nResults [2]: [course_id#9L, count#184L]\n\n(24) Exchange\nInput [2]: [course_id#9L, count#184L]\nArguments: hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=261]\n\n(25) ShuffleQueryStage\nOutput [2]: [course_id#9L, count#184L]\nArguments: 1\n\n(26) AQEShuffleRead\nInput [2]: [course_id#9L, count#184L]\nArguments: coalesced\n\n(27) HashAggregate [codegen id : 5]\nInput [2]: [course_id#9L, count#184L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#48L]\nResults [2]: [course_id#9L, count(1)#48L AS lessons_count#49L]\n\n(28) BroadcastExchange\nInput [2]: [course_id#9L, lessons_count#49L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=573]\n\n(29) BroadcastQueryStage\nOutput [2]: [course_id#9L, lessons_count#49L]\nArguments: 4\n\n(30) BroadcastHashJoin [codegen id : 9]\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#9L]\nJoin type: LeftOuter\nJoin condition: None\n\n(31) Project [codegen id : 9]\nOutput [4]: [id#26L, title#27, unique_users#38L, lessons_count#49L]\nInput [5]: [id#26L, title#27, unique_users#38L, course_id#9L, lessons_count#49L]\n\n(32) Scan parquet \nOutput [2]: [id#120L, course_id#121L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(33) ColumnarToRow [codegen id : 6]\nInput [2]: [id#120L, course_id#121L]\n\n(34) Filter [codegen id : 6]\nInput [2]: [id#120L, course_id#121L]\nCondition : isnotnull(course_id#121L)\n\n(35) Scan parquet \nOutput [2]: [lesson_id#20L, viewed_at#21]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:bigint,viewed_at:timestamp>\n\n(36) ColumnarToRow [codegen id : 3]\nInput [2]: [lesson_id#20L, viewed_at#21]\n\n(37) Filter [codegen id : 3]\nInput [2]: [lesson_id#20L, viewed_at#21]\nCondition : isnotnull(lesson_id#20L)\n\n(38) BroadcastExchange\nInput [2]: [lesson_id#20L, viewed_at#21]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=283]\n\n(39) BroadcastQueryStage\nOutput [2]: [lesson_id#20L, viewed_at#21]\nArguments: 2\n\n(40) BroadcastHashJoin [codegen id : 6]\nLeft keys [1]: [id#120L]\nRight keys [1]: [lesson_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(41) Project [codegen id : 6]\nOutput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nInput [4]: [id#120L, course_id#121L, lesson_id#20L, viewed_at#21]\n\n(42) HashAggregate [codegen id : 6]\nInput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nKeys [1]: [course_id#121L]\nFunctions [3]: [partial_count(lesson_id#20L), partial_max(viewed_at#21), partial_min(viewed_at#21)]\nAggregate Attributes [3]: [count#185L, max#186, min#187]\nResults [4]: [course_id#121L, count#188L, max#189, min#190]\n\n(43) Exchange\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: hashpartitioning(course_id#121L, 200), ENSURE_REQUIREMENTS, [plan_id=597]\n\n(44) ShuffleQueryStage\nOutput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: 5\n\n(45) AQEShuffleRead\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: coalesced\n\n(46) HashAggregate [codegen id : 8]\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nKeys [1]: [course_id#121L]\nFunctions [3]: [count(lesson_id#20L), max(viewed_at#21), min(viewed_at#21)]\nAggregate Attributes [3]: [count(lesson_id#20L)#81L, max(viewed_at#21)#83, min(viewed_at#21)#85]\nResults [4]: [course_id#121L, count(lesson_id#20L)#81L AS total_views#82L, max(viewed_at#21)#83 AS last_viewed_at#84, min(viewed_at#21)#85 AS first_viewed_at#86]\n\n(47) BroadcastExchange\nInput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=905]\n\n(48) BroadcastQueryStage\nOutput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: 7\n\n(49) BroadcastHashJoin [codegen id : 9]\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#121L]\nJoin type: LeftOuter\nJoin condition: None\n\n(50) Project [codegen id : 9]\nOutput [7]: [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]\nInput [8]: [id#26L, title#27, unique_users#38L, lessons_count#49L, course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\n\n(51) Project [codegen id : 9]\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]\nInput [7]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86]\n\n(52) Exchange\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=1001]\n\n(53) ShuffleQueryStage\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: 8\n\n(54) Sort\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: [course_id#150L ASC NULLS FIRST], true, 0\n\n(55) WriteFiles\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\n\n(56) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]\n\n(57) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<id:bigint,title:string>\n\n(58) Filter\nInput [2]: [user_id#1L, course_id#2L]\nCondition : isnotnull(course_id#2L)\n\n(59) HashAggregate\nInput [2]: [user_id#1L, course_id#2L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(60) Exchange\nInput [2]: [course_id#2L, user_id#1L]\nArguments: hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(61) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(62) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [partial_count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count#181L]\n\n(63) Exchange\nInput [2]: [course_id#2L, count#181L]\nArguments: hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(64) HashAggregate\nInput [2]: [course_id#2L, count#181L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count(user_id#1L)#39L AS unique_users#38L]\n\n(65) BroadcastExchange\nInput [2]: [course_id#2L, unique_users#38L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=138]\n\n(66) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#2L]\nJoin type: LeftOuter\nJoin condition: None\n\n(67) Project\nOutput [3]: [id#26L, title#27, unique_users#38L]\nInput [4]: [id#26L, title#27, course_id#2L, unique_users#38L]\n\n(68) Filter\nInput [1]: [course_id#9L]\nCondition : isnotnull(course_id#9L)\n\n(69) HashAggregate\nInput [1]: [course_id#9L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#183L]\nResults [2]: [course_id#9L, count#184L]\n\n(70) Exchange\nInput [2]: [course_id#9L, count#184L]\nArguments: hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=141]\n\n(71) HashAggregate\nInput [2]: [course_id#9L, count#184L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#48L]\nResults [2]: [course_id#9L, count(1)#48L AS lessons_count#49L]\n\n(72) BroadcastExchange\nInput [2]: [course_id#9L, lessons_count#49L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=144]\n\n(73) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#9L]\nJoin type: LeftOuter\nJoin condition: None\n\n(74) Project\nOutput [4]: [id#26L, title#27, unique_users#38L, lessons_count#49L]\nInput [5]: [id#26L, title#27, unique_users#38L, course_id#9L, lessons_count#49L]\n\n(75) Scan parquet \nOutput [2]: [id#120L, course_id#121L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(76) Filter\nInput [2]: [id#120L, course_id#121L]\nCondition : isnotnull(course_id#121L)\n\n(77) Filter\nInput [2]: [lesson_id#20L, viewed_at#21]\nCondition : isnotnull(lesson_id#20L)\n\n(78) BroadcastExchange\nInput [2]: [lesson_id#20L, viewed_at#21]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=147]\n\n(79) BroadcastHashJoin\nLeft keys [1]: [id#120L]\nRight keys [1]: [lesson_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(80) Project\nOutput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nInput [4]: [id#120L, course_id#121L, lesson_id#20L, viewed_at#21]\n\n(81) HashAggregate\nInput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nKeys [1]: [course_id#121L]\nFunctions [3]: [partial_count(lesson_id#20L), partial_max(viewed_at#21), partial_min(viewed_at#21)]\nAggregate Attributes [3]: [count#185L, max#186, min#187]\nResults [4]: [course_id#121L, count#188L, max#189, min#190]\n\n(82) Exchange\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: hashpartitioning(course_id#121L, 200), ENSURE_REQUIREMENTS, [plan_id=152]\n\n(83) HashAggregate\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nKeys [1]: [course_id#121L]\nFunctions [3]: [count(lesson_id#20L), max(viewed_at#21), min(viewed_at#21)]\nAggregate Attributes [3]: [count(lesson_id#20L)#81L, max(viewed_at#21)#83, min(viewed_at#21)#85]\nResults [4]: [course_id#121L, count(lesson_id#20L)#81L AS total_views#82L, max(viewed_at#21)#83 AS last_viewed_at#84, min(viewed_at#21)#85 AS first_viewed_at#86]\n\n(84) BroadcastExchange\nInput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=155]\n\n(85) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#121L]\nJoin type: LeftOuter\nJoin condition: None\n\n(86) Project\nOutput [7]: [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]\nInput [8]: [id#26L, title#27, unique_users#38L, lessons_count#49L, course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\n\n(87) Project\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]\nInput [7]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86]\n\n(88) Exchange\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=160]\n\n(89) Sort\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: [course_id#150L ASC NULLS FIRST], true, 0\n\n(90) WriteFiles\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\n\n(91) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]\n\n(92) 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/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [course_id#150L ASC NULLS FIRST], true, 0","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 8","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=1001]","children":[{"nodeName":"WholeStageCodegen (9)","simpleString":"WholeStageCodegen (9)","children":[{"nodeName":"Project","simpleString":"Project [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]","children":[{"nodeName":"Project","simpleString":"Project [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#26L], [course_id#121L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#26L, title#27, unique_users#38L, lessons_count#49L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#26L], [course_id#9L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#26L, title#27, unique_users#38L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#26L], [course_id#2L], LeftOuter, BuildRight, false","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [id#26L,title#27] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/courses.parquet], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<id:bigint,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/courses.parquet]","ReadSchema":"struct<id:bigint,title:string>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[]","DataFilters":"[]"},"metrics":[{"name":"number of files read","accumulatorId":1199,"metricType":"sum"},{"name":"scan time","accumulatorId":1198,"metricType":"timing"},{"name":"metadata time","accumulatorId":1200,"metricType":"timing"},{"name":"size of files read","accumulatorId":1201,"metricType":"size"},{"name":"number of output rows","accumulatorId":1197,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":1195,"metricType":"sum"},{"name":"number of input 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{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[1170,5]]}
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Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":38,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"101\",\"name\":\"WholeStageCodegen (9)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[37],"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":37,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"123\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[36],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[],"Details":"org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:792)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}],"Stage IDs":[18],"Properties":{"spark.driver.port":"37817","spark.submit.pyFiles":"","spark.app.startTime":"1782914995479","spark.rdd.scope":"{\"id\":\"100\",\"name\":\"Exchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.app.submitTime":"1782914994482","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_course_summary","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-20260701180956-0044","spark.eventLog.compress":"true","spark.eventLog.enabled":"true","__fetch_continuous_blocks_in_batch_enabled":"true","spark.executor.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false","spark.sql.execution.root.id":"0","spark.hadoop.fs.s3a.connection.ssl.enabled":"false","spark.serializer.objectStreamReset":"100","spark.driver.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}}
{"Event":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":18,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":42,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"100\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[38],"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":36,"Name":"FileScanRDD","Scope":"{\"id\":\"123\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":38,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"101\",\"name\":\"WholeStageCodegen (9)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[37],"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":37,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"123\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[36],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[],"Details":"org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:792)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1782915006392,"Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0},"Properties":{"spark.driver.port":"37817","spark.submit.pyFiles":"","spark.app.startTime":"1782914995479","spark.rdd.scope":"{\"id\":\"100\",\"name\":\"Exchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.app.submitTime":"1782914994482","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_course_summary","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-20260701180956-0044","spark.eventLog.compress":"true","spark.eventLog.enabled":"true","__fetch_continuous_blocks_in_batch_enabled":"true","spark.executor.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false","spark.sql.execution.root.id":"0","spark.hadoop.fs.s3a.connection.ssl.enabled":"false","spark.serializer.objectStreamReset":"100","spark.driver.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}}
{"Event":"SparkListenerTaskStart","Stage ID":18,"Stage Attempt ID":0,"Task Info":{"Task ID":13,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1782915006400,"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":18,"Stage Attempt ID":0,"Task Type":"ShuffleMapTask","Task End Reason":{"Reason":"Success"},"Task Info":{"Task ID":13,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1782915006400,"Executor ID":"0","Host":"172.28.0.49","Locality":"PROCESS_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":1782915006473,"Failed":false,"Killed":false,"Accumulables":[{"ID":1169,"Name":"data size","Update":"544","Value":"544","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1188,"Name":"shuffle bytes written","Update":"674","Value":"674","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1189,"Name":"shuffle records written","Update":"5","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1190,"Name":"shuffle write time","Update":"679894","Value":"679894","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1191,"Name":"duration","Update":"27","Value":"89","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1192,"Name":"number of output rows","Update":"5","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1193,"Name":"number of output rows","Update":"5","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1194,"Name":"number of output rows","Update":"5","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1195,"Name":"number of output rows","Update":"5","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1196,"Name":"number of input batches","Update":"1","Value":"2","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1197,"Name":"number of output rows","Update":"5","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1198,"Name":"scan time","Update":"23","Value":"55","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1237,"Name":"internal.metrics.executorDeserializeTime","Update":35,"Value":35,"Internal":true,"Count Failed Values":true},{"ID":1238,"Name":"internal.metrics.executorDeserializeCpuTime","Update":27566819,"Value":27566819,"Internal":true,"Count Failed Values":true},{"ID":1239,"Name":"internal.metrics.executorRunTime","Update":29,"Value":29,"Internal":true,"Count Failed Values":true},{"ID":1240,"Name":"internal.metrics.executorCpuTime","Update":24057531,"Value":24057531,"Internal":true,"Count Failed Values":true},{"ID":1241,"Name":"internal.metrics.resultSize","Update":2204,"Value":2204,"Internal":true,"Count Failed Values":true},{"ID":1246,"Name":"internal.metrics.peakExecutionMemory","Update":680,"Value":680,"Internal":true,"Count Failed Values":true},{"ID":1265,"Name":"internal.metrics.shuffle.write.bytesWritten","Update":674,"Value":674,"Internal":true,"Count Failed Values":true},{"ID":1266,"Name":"internal.metrics.shuffle.write.recordsWritten","Update":5,"Value":5,"Internal":true,"Count Failed Values":true},{"ID":1267,"Name":"internal.metrics.shuffle.write.writeTime","Update":679894,"Value":679894,"Internal":true,"Count Failed Values":true},{"ID":1268,"Name":"internal.metrics.input.bytesRead","Update":2782,"Value":2782,"Internal":true,"Count Failed Values":true},{"ID":1269,"Name":"internal.metrics.input.recordsRead","Update":5,"Value":5,"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":35,"Executor Deserialize CPU Time":27566819,"Executor Run Time":29,"Executor CPU Time":24057531,"Peak Execution Memory":680,"Result Size":2204,"JVM GC Time":0,"Result Serialization Time":0,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":0,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":0,"Total Records Read":0,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":674,"Shuffle Write Time":679894,"Shuffle Records Written":5},"Input Metrics":{"Bytes Read":2782,"Records Read":5},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":18,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":42,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"100\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[38],"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":36,"Name":"FileScanRDD","Scope":"{\"id\":\"123\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":38,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"101\",\"name\":\"WholeStageCodegen (9)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[37],"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":37,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"123\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[36],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[],"Details":"org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:792)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1782915006392,"Completion Time":1782915006474,"Accumulables":[{"ID":1169,"Name":"data size","Value":"544","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1188,"Name":"shuffle bytes written","Value":"674","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1189,"Name":"shuffle records written","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1190,"Name":"shuffle write time","Value":"679894","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1191,"Name":"duration","Value":"89","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1192,"Name":"number of output rows","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1193,"Name":"number of output rows","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1194,"Name":"number of output rows","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1195,"Name":"number of output rows","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1196,"Name":"number of input batches","Value":"2","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1197,"Name":"number of output rows","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1198,"Name":"scan time","Value":"55","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1237,"Name":"internal.metrics.executorDeserializeTime","Value":35,"Internal":true,"Count Failed Values":true},{"ID":1238,"Name":"internal.metrics.executorDeserializeCpuTime","Value":27566819,"Internal":true,"Count Failed Values":true},{"ID":1239,"Name":"internal.metrics.executorRunTime","Value":29,"Internal":true,"Count Failed Values":true},{"ID":1240,"Name":"internal.metrics.executorCpuTime","Value":24057531,"Internal":true,"Count Failed Values":true},{"ID":1241,"Name":"internal.metrics.resultSize","Value":2204,"Internal":true,"Count Failed Values":true},{"ID":1246,"Name":"internal.metrics.peakExecutionMemory","Value":680,"Internal":true,"Count Failed Values":true},{"ID":1265,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":674,"Internal":true,"Count Failed Values":true},{"ID":1266,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":5,"Internal":true,"Count Failed Values":true},{"ID":1267,"Name":"internal.metrics.shuffle.write.writeTime","Value":679894,"Internal":true,"Count Failed Values":true},{"ID":1268,"Name":"internal.metrics.input.bytesRead","Value":2782,"Internal":true,"Count Failed Values":true},{"ID":1269,"Name":"internal.metrics.input.recordsRead","Value":5,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":13,"Completion Time":1782915006475,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (93)\n+- == Final Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (57)\n   +- WriteFiles (56)\n      +- * Sort (55)\n         +- AQEShuffleRead (54)\n            +- ShuffleQueryStage (53), Statistics(sizeInBytes=544.0 B, rowCount=5)\n               +- Exchange (52)\n                  +- * Project (51)\n                     +- * Project (50)\n                        +- * BroadcastHashJoin LeftOuter BuildRight (49)\n                           :- * Project (31)\n                           :  +- * BroadcastHashJoin LeftOuter BuildRight (30)\n                           :     :- * Project (19)\n                           :     :  +- * BroadcastHashJoin LeftOuter BuildRight (18)\n                           :     :     :- * ColumnarToRow (2)\n                           :     :     :  +- Scan parquet  (1)\n                           :     :     +- BroadcastQueryStage (17), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                           :     :        +- BroadcastExchange (16)\n                           :     :           +- * HashAggregate (15)\n                           :     :              +- AQEShuffleRead (14)\n                           :     :                 +- ShuffleQueryStage (13), Statistics(sizeInBytes=120.0 B, rowCount=5)\n                           :     :                    +- Exchange (12)\n                           :     :                       +- * HashAggregate (11)\n                           :     :                          +- * HashAggregate (10)\n                           :     :                             +- AQEShuffleRead (9)\n                           :     :                                +- ShuffleQueryStage (8), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                           :     :                                   +- Exchange (7)\n                           :     :                                      +- * HashAggregate (6)\n                           :     :                                         +- * Filter (5)\n                           :     :                                            +- * ColumnarToRow (4)\n                           :     :                                               +- Scan parquet  (3)\n                           :     +- BroadcastQueryStage (29), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                           :        +- BroadcastExchange (28)\n                           :           +- * HashAggregate (27)\n                           :              +- AQEShuffleRead (26)\n                           :                 +- ShuffleQueryStage (25), Statistics(sizeInBytes=120.0 B, rowCount=5)\n                           :                    +- Exchange (24)\n                           :                       +- * HashAggregate (23)\n                           :                          +- * Filter (22)\n                           :                             +- * ColumnarToRow (21)\n                           :                                +- Scan parquet  (20)\n                           +- BroadcastQueryStage (48), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                              +- BroadcastExchange (47)\n                                 +- * HashAggregate (46)\n                                    +- AQEShuffleRead (45)\n                                       +- ShuffleQueryStage (44), Statistics(sizeInBytes=200.0 B, rowCount=5)\n                                          +- Exchange (43)\n                                             +- * HashAggregate (42)\n                                                +- * Project (41)\n                                                   +- * BroadcastHashJoin LeftOuter BuildRight (40)\n                                                      :- * Filter (34)\n                                                      :  +- * ColumnarToRow (33)\n                                                      :     +- Scan parquet  (32)\n                                                      +- BroadcastQueryStage (39), Statistics(sizeInBytes=1024.1 KiB, rowCount=58)\n                                                         +- BroadcastExchange (38)\n                                                            +- * Filter (37)\n                                                               +- * ColumnarToRow (36)\n                                                                  +- Scan parquet  (35)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (92)\n   +- WriteFiles (91)\n      +- Sort (90)\n         +- Exchange (89)\n            +- Project (88)\n               +- Project (87)\n                  +- BroadcastHashJoin LeftOuter BuildRight (86)\n                     :- Project (75)\n                     :  +- BroadcastHashJoin LeftOuter BuildRight (74)\n                     :     :- Project (68)\n                     :     :  +- BroadcastHashJoin LeftOuter BuildRight (67)\n                     :     :     :- Scan parquet  (58)\n                     :     :     +- BroadcastExchange (66)\n                     :     :        +- HashAggregate (65)\n                     :     :           +- Exchange (64)\n                     :     :              +- HashAggregate (63)\n                     :     :                 +- HashAggregate (62)\n                     :     :                    +- Exchange (61)\n                     :     :                       +- HashAggregate (60)\n                     :     :                          +- Filter (59)\n                     :     :                             +- Scan parquet  (3)\n                     :     +- BroadcastExchange (73)\n                     :        +- HashAggregate (72)\n                     :           +- Exchange (71)\n                     :              +- HashAggregate (70)\n                     :                 +- Filter (69)\n                     :                    +- Scan parquet  (20)\n                     +- BroadcastExchange (85)\n                        +- HashAggregate (84)\n                           +- Exchange (83)\n                              +- HashAggregate (82)\n                                 +- Project (81)\n                                    +- BroadcastHashJoin LeftOuter BuildRight (80)\n                                       :- Filter (77)\n                                       :  +- Scan parquet  (76)\n                                       +- BroadcastExchange (79)\n                                          +- Filter (78)\n                                             +- Scan parquet  (35)\n\n\n(1) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<id:bigint,title:string>\n\n(2) ColumnarToRow [codegen id : 9]\nInput [2]: [id#26L, title#27]\n\n(3) Scan parquet \nOutput [2]: [user_id#1L, course_id#2L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(4) ColumnarToRow [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\n\n(5) Filter [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\nCondition : isnotnull(course_id#2L)\n\n(6) HashAggregate [codegen id : 1]\nInput [2]: [user_id#1L, course_id#2L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(7) Exchange\nInput [2]: [course_id#2L, user_id#1L]\nArguments: hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=234]\n\n(8) ShuffleQueryStage\nOutput [2]: [course_id#2L, user_id#1L]\nArguments: 0\n\n(9) AQEShuffleRead\nInput [2]: [course_id#2L, user_id#1L]\nArguments: coalesced\n\n(10) HashAggregate [codegen id : 4]\nInput [2]: [course_id#2L, user_id#1L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(11) HashAggregate [codegen id : 4]\nInput [2]: [course_id#2L, user_id#1L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [partial_count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count#181L]\n\n(12) Exchange\nInput [2]: [course_id#2L, count#181L]\nArguments: hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=438]\n\n(13) ShuffleQueryStage\nOutput [2]: [course_id#2L, count#181L]\nArguments: 3\n\n(14) AQEShuffleRead\nInput [2]: [course_id#2L, count#181L]\nArguments: coalesced\n\n(15) HashAggregate [codegen id : 7]\nInput [2]: [course_id#2L, count#181L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count(user_id#1L)#39L AS unique_users#38L]\n\n(16) BroadcastExchange\nInput [2]: [course_id#2L, unique_users#38L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=699]\n\n(17) BroadcastQueryStage\nOutput [2]: [course_id#2L, unique_users#38L]\nArguments: 6\n\n(18) BroadcastHashJoin [codegen id : 9]\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#2L]\nJoin type: LeftOuter\nJoin condition: None\n\n(19) Project [codegen id : 9]\nOutput [3]: [id#26L, title#27, unique_users#38L]\nInput [4]: [id#26L, title#27, course_id#2L, unique_users#38L]\n\n(20) Scan parquet \nOutput [1]: [course_id#9L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:bigint>\n\n(21) ColumnarToRow [codegen id : 2]\nInput [1]: [course_id#9L]\n\n(22) Filter [codegen id : 2]\nInput [1]: [course_id#9L]\nCondition : isnotnull(course_id#9L)\n\n(23) HashAggregate [codegen id : 2]\nInput [1]: [course_id#9L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#183L]\nResults [2]: [course_id#9L, count#184L]\n\n(24) Exchange\nInput [2]: [course_id#9L, count#184L]\nArguments: hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=261]\n\n(25) ShuffleQueryStage\nOutput [2]: [course_id#9L, count#184L]\nArguments: 1\n\n(26) AQEShuffleRead\nInput [2]: [course_id#9L, count#184L]\nArguments: coalesced\n\n(27) HashAggregate [codegen id : 5]\nInput [2]: [course_id#9L, count#184L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#48L]\nResults [2]: [course_id#9L, count(1)#48L AS lessons_count#49L]\n\n(28) BroadcastExchange\nInput [2]: [course_id#9L, lessons_count#49L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=573]\n\n(29) BroadcastQueryStage\nOutput [2]: [course_id#9L, lessons_count#49L]\nArguments: 4\n\n(30) BroadcastHashJoin [codegen id : 9]\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#9L]\nJoin type: LeftOuter\nJoin condition: None\n\n(31) Project [codegen id : 9]\nOutput [4]: [id#26L, title#27, unique_users#38L, lessons_count#49L]\nInput [5]: [id#26L, title#27, unique_users#38L, course_id#9L, lessons_count#49L]\n\n(32) Scan parquet \nOutput [2]: [id#120L, course_id#121L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(33) ColumnarToRow [codegen id : 6]\nInput [2]: [id#120L, course_id#121L]\n\n(34) Filter [codegen id : 6]\nInput [2]: [id#120L, course_id#121L]\nCondition : isnotnull(course_id#121L)\n\n(35) Scan parquet \nOutput [2]: [lesson_id#20L, viewed_at#21]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:bigint,viewed_at:timestamp>\n\n(36) ColumnarToRow [codegen id : 3]\nInput [2]: [lesson_id#20L, viewed_at#21]\n\n(37) Filter [codegen id : 3]\nInput [2]: [lesson_id#20L, viewed_at#21]\nCondition : isnotnull(lesson_id#20L)\n\n(38) BroadcastExchange\nInput [2]: [lesson_id#20L, viewed_at#21]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=283]\n\n(39) BroadcastQueryStage\nOutput [2]: [lesson_id#20L, viewed_at#21]\nArguments: 2\n\n(40) BroadcastHashJoin [codegen id : 6]\nLeft keys [1]: [id#120L]\nRight keys [1]: [lesson_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(41) Project [codegen id : 6]\nOutput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nInput [4]: [id#120L, course_id#121L, lesson_id#20L, viewed_at#21]\n\n(42) HashAggregate [codegen id : 6]\nInput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nKeys [1]: [course_id#121L]\nFunctions [3]: [partial_count(lesson_id#20L), partial_max(viewed_at#21), partial_min(viewed_at#21)]\nAggregate Attributes [3]: [count#185L, max#186, min#187]\nResults [4]: [course_id#121L, count#188L, max#189, min#190]\n\n(43) Exchange\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: hashpartitioning(course_id#121L, 200), ENSURE_REQUIREMENTS, [plan_id=597]\n\n(44) ShuffleQueryStage\nOutput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: 5\n\n(45) AQEShuffleRead\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: coalesced\n\n(46) HashAggregate [codegen id : 8]\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nKeys [1]: [course_id#121L]\nFunctions [3]: [count(lesson_id#20L), max(viewed_at#21), min(viewed_at#21)]\nAggregate Attributes [3]: [count(lesson_id#20L)#81L, max(viewed_at#21)#83, min(viewed_at#21)#85]\nResults [4]: [course_id#121L, count(lesson_id#20L)#81L AS total_views#82L, max(viewed_at#21)#83 AS last_viewed_at#84, min(viewed_at#21)#85 AS first_viewed_at#86]\n\n(47) BroadcastExchange\nInput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=905]\n\n(48) BroadcastQueryStage\nOutput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: 7\n\n(49) BroadcastHashJoin [codegen id : 9]\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#121L]\nJoin type: LeftOuter\nJoin condition: None\n\n(50) Project [codegen id : 9]\nOutput [7]: [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]\nInput [8]: [id#26L, title#27, unique_users#38L, lessons_count#49L, course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\n\n(51) Project [codegen id : 9]\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]\nInput [7]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86]\n\n(52) Exchange\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=1001]\n\n(53) ShuffleQueryStage\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: 8\n\n(54) AQEShuffleRead\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: coalesced\n\n(55) Sort [codegen id : 10]\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: [course_id#150L ASC NULLS FIRST], true, 0\n\n(56) WriteFiles\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\n\n(57) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]\n\n(58) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<id:bigint,title:string>\n\n(59) Filter\nInput [2]: [user_id#1L, course_id#2L]\nCondition : isnotnull(course_id#2L)\n\n(60) HashAggregate\nInput [2]: [user_id#1L, course_id#2L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(61) Exchange\nInput [2]: [course_id#2L, user_id#1L]\nArguments: hashpartitioning(course_id#2L, user_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(62) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [2]: [course_id#2L, user_id#1L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#2L, user_id#1L]\n\n(63) HashAggregate\nInput [2]: [course_id#2L, user_id#1L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [partial_count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count#181L]\n\n(64) Exchange\nInput [2]: [course_id#2L, count#181L]\nArguments: hashpartitioning(course_id#2L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(65) HashAggregate\nInput [2]: [course_id#2L, count#181L]\nKeys [1]: [course_id#2L]\nFunctions [1]: [count(distinct user_id#1L)]\nAggregate Attributes [1]: [count(user_id#1L)#39L]\nResults [2]: [course_id#2L, count(user_id#1L)#39L AS unique_users#38L]\n\n(66) BroadcastExchange\nInput [2]: [course_id#2L, unique_users#38L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=138]\n\n(67) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#2L]\nJoin type: LeftOuter\nJoin condition: None\n\n(68) Project\nOutput [3]: [id#26L, title#27, unique_users#38L]\nInput [4]: [id#26L, title#27, course_id#2L, unique_users#38L]\n\n(69) Filter\nInput [1]: [course_id#9L]\nCondition : isnotnull(course_id#9L)\n\n(70) HashAggregate\nInput [1]: [course_id#9L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#183L]\nResults [2]: [course_id#9L, count#184L]\n\n(71) Exchange\nInput [2]: [course_id#9L, count#184L]\nArguments: hashpartitioning(course_id#9L, 200), ENSURE_REQUIREMENTS, [plan_id=141]\n\n(72) HashAggregate\nInput [2]: [course_id#9L, count#184L]\nKeys [1]: [course_id#9L]\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#48L]\nResults [2]: [course_id#9L, count(1)#48L AS lessons_count#49L]\n\n(73) BroadcastExchange\nInput [2]: [course_id#9L, lessons_count#49L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=144]\n\n(74) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#9L]\nJoin type: LeftOuter\nJoin condition: None\n\n(75) Project\nOutput [4]: [id#26L, title#27, unique_users#38L, lessons_count#49L]\nInput [5]: [id#26L, title#27, unique_users#38L, course_id#9L, lessons_count#49L]\n\n(76) Scan parquet \nOutput [2]: [id#120L, course_id#121L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(77) Filter\nInput [2]: [id#120L, course_id#121L]\nCondition : isnotnull(course_id#121L)\n\n(78) Filter\nInput [2]: [lesson_id#20L, viewed_at#21]\nCondition : isnotnull(lesson_id#20L)\n\n(79) BroadcastExchange\nInput [2]: [lesson_id#20L, viewed_at#21]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=147]\n\n(80) BroadcastHashJoin\nLeft keys [1]: [id#120L]\nRight keys [1]: [lesson_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(81) Project\nOutput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nInput [4]: [id#120L, course_id#121L, lesson_id#20L, viewed_at#21]\n\n(82) HashAggregate\nInput [3]: [course_id#121L, lesson_id#20L, viewed_at#21]\nKeys [1]: [course_id#121L]\nFunctions [3]: [partial_count(lesson_id#20L), partial_max(viewed_at#21), partial_min(viewed_at#21)]\nAggregate Attributes [3]: [count#185L, max#186, min#187]\nResults [4]: [course_id#121L, count#188L, max#189, min#190]\n\n(83) Exchange\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nArguments: hashpartitioning(course_id#121L, 200), ENSURE_REQUIREMENTS, [plan_id=152]\n\n(84) HashAggregate\nInput [4]: [course_id#121L, count#188L, max#189, min#190]\nKeys [1]: [course_id#121L]\nFunctions [3]: [count(lesson_id#20L), max(viewed_at#21), min(viewed_at#21)]\nAggregate Attributes [3]: [count(lesson_id#20L)#81L, max(viewed_at#21)#83, min(viewed_at#21)#85]\nResults [4]: [course_id#121L, count(lesson_id#20L)#81L AS total_views#82L, max(viewed_at#21)#83 AS last_viewed_at#84, min(viewed_at#21)#85 AS first_viewed_at#86]\n\n(85) BroadcastExchange\nInput [4]: [course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=155]\n\n(86) BroadcastHashJoin\nLeft keys [1]: [id#26L]\nRight keys [1]: [course_id#121L]\nJoin type: LeftOuter\nJoin condition: None\n\n(87) Project\nOutput [7]: [id#26L AS course_id#150L, title#27 AS course_title#151, coalesce(unique_users#38L, 0) AS unique_users#152L, coalesce(lessons_count#49L, 0) AS lessons_count#153L, coalesce(total_views#82L, 0) AS total_views#154L, last_viewed_at#84, first_viewed_at#86]\nInput [8]: [id#26L, title#27, unique_users#38L, lessons_count#49L, course_id#121L, total_views#82L, last_viewed_at#84, first_viewed_at#86]\n\n(88) Project\nOutput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, CASE WHEN NOT (unique_users#152L = 0) THEN round((cast(total_views#154L as double) / cast(unique_users#152L as double)), 2) END AS avg_views_per_user#162]\nInput [7]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86]\n\n(89) Exchange\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: rangepartitioning(course_id#150L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=160]\n\n(90) Sort\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\nArguments: [course_id#150L ASC NULLS FIRST], true, 0\n\n(91) WriteFiles\nInput [8]: [course_id#150L, course_title#151, unique_users#152L, lessons_count#153L, total_views#154L, last_viewed_at#84, first_viewed_at#86, avg_views_per_user#162]\n\n(92) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/course_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/course_summary.parquet], Overwrite, [course_id, course_title, unique_users, lessons_count, total_views, last_viewed_at, first_viewed_at, avg_views_per_user]\n\n(93) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=true\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=true","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute 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{"Event":"SparkListenerJobEnd","Job ID":14,"Completion Time":1782915007333,"Job Result":{"Result":"JobSucceeded"}}
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{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionEnd","executionId":0,"time":1782915007501,"errorMessage":""}
{"Event":"SparkListenerApplicationEnd","Timestamp":1782915007504}