{"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":43951},"Maximum Memory":455501414,"Timestamp":1782979198393,"Maximum Onheap Memory":455501414,"Maximum Offheap Memory":0}
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{"Event":"SparkListenerJobEnd","Job ID":3,"Completion Time":1782979228803,"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 (38)\n+- Execute InsertIntoHadoopFsRelationCommand (37)\n   +- WriteFiles (36)\n      +- Sort (35)\n         +- Project (34)\n            +- Window (33)\n               +- Sort (32)\n                  +- Exchange (31)\n                     +- Project (30)\n                        +- BroadcastHashJoin LeftOuter BuildRight (29)\n                           :- Project (19)\n                           :  +- BroadcastHashJoin Inner BuildRight (18)\n                           :     :- Project (14)\n                           :     :  +- HashAggregate (13)\n                           :     :     +- Exchange (12)\n                           :     :        +- HashAggregate (11)\n                           :     :           +- HashAggregate (10)\n                           :     :              +- Exchange (9)\n                           :     :                 +- HashAggregate (8)\n                           :     :                    +- Project (7)\n                           :     :                       +- BroadcastHashJoin LeftOuter BuildRight (6)\n                           :     :                          :- Filter (2)\n                           :     :                          :  +- Scan parquet  (1)\n                           :     :                          +- BroadcastExchange (5)\n                           :     :                             +- Filter (4)\n                           :     :                                +- Scan parquet  (3)\n                           :     +- BroadcastExchange (17)\n                           :        +- Filter (16)\n                           :           +- Scan parquet  (15)\n                           +- BroadcastExchange (28)\n                              +- HashAggregate (27)\n                                 +- Exchange (26)\n                                    +- HashAggregate (25)\n                                       +- HashAggregate (24)\n                                          +- Exchange (23)\n                                             +- HashAggregate (22)\n                                                +- Filter (21)\n                                                   +- Scan parquet  (20)\n\n\n(1) Scan parquet \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(3) Scan parquet \nOutput [3]: [id#10L, user_id#11L, lesson_id#12L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(4) Filter\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nCondition : isnotnull(lesson_id#12L)\n\n(5) BroadcastExchange\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(6) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#12L]\nJoin type: LeftOuter\nJoin condition: None\n\n(7) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nInput [6]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L, lesson_id#12L]\n\n(8) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [partial_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(9) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(10) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [merge_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(11) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#10L), partial_count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\n\n(12) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(13) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#10L), count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#10L)#63L AS total_views#64L, count(user_id#11L)#66L AS unique_viewers#65L]\n\n(14) Project\nOutput [6]: [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#64L, unique_viewers#65L]\n\n(15) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(16) Filter\nInput [2]: [id#26L, title#27]\nCondition : isnotnull(id#26L)\n\n(17) BroadcastExchange\nInput [2]: [id#26L, title#27]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(18) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#26L]\nJoin type: Inner\nJoin condition: None\n\n(19) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]\nInput [8]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, id#26L, title#27]\n\n(20) Scan parquet \nOutput [2]: [user_id#19L, course_id#20L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(21) Filter\nInput [2]: [user_id#19L, course_id#20L]\nCondition : isnotnull(course_id#20L)\n\n(22) HashAggregate\nInput [2]: [user_id#19L, course_id#20L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(23) Exchange\nInput [2]: [course_id#20L, user_id#19L]\nArguments: hashpartitioning(course_id#20L, user_id#19L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(24) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(25) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [partial_count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count#171L]\n\n(26) Exchange\nInput [2]: [course_id#20L, count#171L]\nArguments: hashpartitioning(course_id#20L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(27) HashAggregate\nInput [2]: [course_id#20L, count#171L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count(user_id#19L)#92L AS enrolled_to_course#91L]\n\n(28) BroadcastExchange\nInput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(29) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(30) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]\nInput [9]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27, course_id#20L, enrolled_to_course#91L]\n\n(31) Exchange\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=153]\n\n(32) Sort\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [total_views#64L DESC NULLS LAST], false, 0\n\n(33) Window\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]\n\n(34) Project\nOutput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146, popularity_rank#145]\n\n(35) Sort\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nArguments: [popularity_rank#145 ASC NULLS FIRST], true, 0\n\n(36) WriteFiles\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\n\n(37) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(38) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [popularity_rank#145 ASC NULLS FIRST], true, 0","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]","children":[{"nodeName":"Window","simpleString":"Window [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]","children":[{"nodeName":"Sort","simpleString":"Sort [total_views#64L DESC NULLS LAST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=153]","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#1L], [course_id#20L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#1L], [id#26L], Inner, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L], functions=[count(id#10L), count(distinct user_id#11L)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L], functions=[merge_count(id#10L), partial_count(distinct user_id#11L)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L, user_id#11L], functions=[merge_count(id#10L)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=131]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L, user_id#11L], functions=[partial_count(id#10L)])","children":[{"nodeName":"Project","simpleString":"Project [id#0L, course_id#1L, title#2, id#10L, user_id#11L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#0L], [lesson_id#12L], LeftOuter, BuildRight, false","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#1L)","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [id#0L,course_id#1L,title#2] Batched: true, DataFilters: [isnotnull(course_id#1L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<id:bigint,course_id:bigint,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.parquet]","ReadSchema":"struct<id:bigint,course_id:bigint,title:string>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#1L)]"},"metrics":[{"name":"number of files read","accumulatorId":250,"metricType":"sum"},{"name":"scan time","accumulatorId":249,"metricType":"timing"},{"name":"metadata time","accumulatorId":251,"metricType":"timing"},{"name":"size of files read","accumulatorId":252,"metricType":"size"},{"name":"number of output rows","accumulatorId":248,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":247,"metricType":"sum"}]},{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(lesson_id#12L)","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [id#10L,user_id#11L,lesson_id#12L] Batched: true, DataFilters: [isnotnull(lesson_id#12L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lesson_views.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id)], ReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lesson_views.parquet]","ReadSchema":"struct<id:bigint,user_id:bigint,lesson_id:bigint>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(lesson_id)]","DataFilters":"[isnotnull(lesson_id#12L)]"},"metrics":[{"name":"number of files read","accumulatorId":261,"metricType":"sum"},{"name":"scan time","accumulatorId":260,"metricType":"timing"},{"name":"metadata time","accumulatorId":262,"metricType":"timing"},{"name":"size of files read","accumulatorId":263,"metricType":"size"},{"name":"number of output rows","accumulatorId":259,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":258,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":257,"metricType":"timing"},{"name":"time to build","accumulatorId":256,"metricType":"timing"},{"name":"time to collect","accumulatorId":255,"metricType":"timing"},{"name":"number of output rows","accumulatorId":254,"metricType":"sum"},{"name":"data size","accumulatorId":253,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":246,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":242,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":243,"metricType":"timing"},{"name":"peak memory","accumulatorId":241,"metricType":"size"},{"name":"number of output rows","accumulatorId":240,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":245,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":244,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":238,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":232,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":239,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":233,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":230,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":227,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":236,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":229,"metricType":"sum"},{"name":"records read","accumulatorId":226,"metricType":"sum"},{"name":"local bytes read","accumulatorId":224,"metricType":"size"},{"name":"fetch wait time","accumulatorId":225,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":222,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":228,"metricType":"sum"},{"name":"local blocks read","accumulatorId":221,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":231,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":220,"metricType":"sum"},{"name":"data size","accumulatorId":218,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":234,"metricType":"size"},{"name":"number of partitions","accumulatorId":219,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":235,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":223,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":237,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":214,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":215,"metricType":"timing"},{"name":"peak memory","accumulatorId":213,"metricType":"size"},{"name":"number of output rows","accumulatorId":212,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":217,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":216,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":208,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":209,"metricType":"timing"},{"name":"peak memory","accumulatorId":207,"metricType":"size"},{"name":"number of output rows","accumulatorId":206,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":211,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":210,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":204,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":198,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":205,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":199,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":196,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":193,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":202,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":195,"metricType":"sum"},{"name":"records read","accumulatorId":192,"metricType":"sum"},{"name":"local bytes read","accumulatorId":190,"metricType":"size"},{"name":"fetch wait time","accumulatorId":191,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":188,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":194,"metricType":"sum"},{"name":"local blocks read","accumulatorId":187,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":197,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":186,"metricType":"sum"},{"name":"data size","accumulatorId":184,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":200,"metricType":"size"},{"name":"number of partitions","accumulatorId":185,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":201,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":189,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":203,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":180,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":181,"metricType":"timing"},{"name":"peak memory","accumulatorId":179,"metricType":"size"},{"name":"number of output rows","accumulatorId":178,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":183,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":182,"metricType":"average"}]}],"metadata":{},"metrics":[]},{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(id#26L)","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [id#26L,title#27] Batched: true, DataFilters: [isnotnull(id#26L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/courses.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(id)], 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":"[IsNotNull(id)]","DataFilters":"[isnotnull(id#26L)]"},"metrics":[{"name":"number of files read","accumulatorId":272,"metricType":"sum"},{"name":"scan time","accumulatorId":271,"metricType":"timing"},{"name":"metadata time","accumulatorId":273,"metricType":"timing"},{"name":"size of files read","accumulatorId":274,"metricType":"size"},{"name":"number of output rows","accumulatorId":270,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":269,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":268,"metricType":"timing"},{"name":"time to build","accumulatorId":267,"metricType":"timing"},{"name":"time to collect","accumulatorId":266,"metricType":"timing"},{"name":"number of output rows","accumulatorId":265,"metricType":"sum"},{"name":"data size","accumulatorId":264,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":177,"metricType":"sum"}]}],"metadata":{},"metrics":[]},{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#20L], functions=[count(distinct user_id#19L)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#20L, 200), ENSURE_REQUIREMENTS, [plan_id=146]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#20L], functions=[partial_count(distinct user_id#19L)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#20L, user_id#19L], functions=[])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(course_id#20L, user_id#19L, 200), ENSURE_REQUIREMENTS, [plan_id=142]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[course_id#20L, user_id#19L], functions=[])","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#20L)","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [user_id#19L,course_id#20L] Batched: true, DataFilters: [isnotnull(course_id#20L)], 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#20L)]"},"metrics":[{"name":"number of files read","accumulatorId":351,"metricType":"sum"},{"name":"scan time","accumulatorId":350,"metricType":"timing"},{"name":"metadata time","accumulatorId":352,"metricType":"timing"},{"name":"size of files read","accumulatorId":353,"metricType":"size"},{"name":"number of output rows","accumulatorId":349,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":348,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":344,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":345,"metricType":"timing"},{"name":"peak memory","accumulatorId":343,"metricType":"size"},{"name":"number of output rows","accumulatorId":342,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":347,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":346,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":340,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":334,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":341,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":335,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":332,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":329,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":338,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":331,"metricType":"sum"},{"name":"records read","accumulatorId":328,"metricType":"sum"},{"name":"local bytes read","accumulatorId":326,"metricType":"size"},{"name":"fetch wait time","accumulatorId":327,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":324,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":330,"metricType":"sum"},{"name":"local blocks read","accumulatorId":323,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":333,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":322,"metricType":"sum"},{"name":"data size","accumulatorId":320,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":336,"metricType":"size"},{"name":"number of partitions","accumulatorId":321,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":337,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":325,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":339,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":316,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":317,"metricType":"timing"},{"name":"peak memory","accumulatorId":315,"metricType":"size"},{"name":"number of output rows","accumulatorId":314,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":319,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":318,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":310,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":311,"metricType":"timing"},{"name":"peak memory","accumulatorId":309,"metricType":"size"},{"name":"number of output rows","accumulatorId":308,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":313,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":312,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":306,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":300,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":307,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":301,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":298,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":295,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":304,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":297,"metricType":"sum"},{"name":"records read","accumulatorId":294,"metricType":"sum"},{"name":"local bytes read","accumulatorId":292,"metricType":"size"},{"name":"fetch wait time","accumulatorId":293,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":290,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":296,"metricType":"sum"},{"name":"local blocks read","accumulatorId":289,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":299,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":288,"metricType":"sum"},{"name":"data size","accumulatorId":286,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":302,"metricType":"size"},{"name":"number of partitions","accumulatorId":287,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":303,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":291,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":305,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":282,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":283,"metricType":"timing"},{"name":"peak memory","accumulatorId":281,"metricType":"size"},{"name":"number of output rows","accumulatorId":280,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":285,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":284,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":279,"metricType":"timing"},{"name":"time to build","accumulatorId":278,"metricType":"timing"},{"name":"time to collect","accumulatorId":277,"metricType":"timing"},{"name":"number of output rows","accumulatorId":276,"metricType":"sum"},{"name":"data size","accumulatorId":275,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":176,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":174,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":168,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":175,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":169,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":166,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":163,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":172,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":165,"metricType":"sum"},{"name":"records read","accumulatorId":162,"metricType":"sum"},{"name":"local bytes read","accumulatorId":160,"metricType":"size"},{"name":"fetch wait time","accumulatorId":161,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":158,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":164,"metricType":"sum"},{"name":"local blocks read","accumulatorId":157,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":167,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":156,"metricType":"sum"},{"name":"data size","accumulatorId":154,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":170,"metricType":"size"},{"name":"number of partitions","accumulatorId":155,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":171,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":159,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":173,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":151,"metricType":"timing"},{"name":"peak memory","accumulatorId":152,"metricType":"size"},{"name":"spill size","accumulatorId":153,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":150,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"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":1782979229495,"modifiedConfigs":{},"jobTags":[]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (76)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (43)\n   +- WriteFiles (42)\n      +- Sort (41)\n         +- Project (40)\n            +- Window (39)\n               +- Sort (38)\n                  +- Exchange (37)\n                     +- Project (36)\n                        +- BroadcastHashJoin LeftOuter BuildRight (35)\n                           :- Project (23)\n                           :  +- BroadcastHashJoin Inner BuildRight (22)\n                           :     :- Project (16)\n                           :     :  +- HashAggregate (15)\n                           :     :     +- Exchange (14)\n                           :     :        +- HashAggregate (13)\n                           :     :           +- HashAggregate (12)\n                           :     :              +- Exchange (11)\n                           :     :                 +- HashAggregate (10)\n                           :     :                    +- Project (9)\n                           :     :                       +- BroadcastHashJoin LeftOuter BuildRight (8)\n                           :     :                          :- Filter (2)\n                           :     :                          :  +- Scan parquet  (1)\n                           :     :                          +- BroadcastQueryStage (7)\n                           :     :                             +- BroadcastExchange (6)\n                           :     :                                +- * Filter (5)\n                           :     :                                   +- * ColumnarToRow (4)\n                           :     :                                      +- Scan parquet  (3)\n                           :     +- BroadcastQueryStage (21)\n                           :        +- BroadcastExchange (20)\n                           :           +- * Filter (19)\n                           :              +- * ColumnarToRow (18)\n                           :                 +- Scan parquet  (17)\n                           +- BroadcastExchange (34)\n                              +- HashAggregate (33)\n                                 +- Exchange (32)\n                                    +- HashAggregate (31)\n                                       +- HashAggregate (30)\n                                          +- ShuffleQueryStage (29)\n                                             +- Exchange (28)\n                                                +- * HashAggregate (27)\n                                                   +- * Filter (26)\n                                                      +- * ColumnarToRow (25)\n                                                         +- Scan parquet  (24)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (75)\n   +- WriteFiles (74)\n      +- Sort (73)\n         +- Project (72)\n            +- Window (71)\n               +- Sort (70)\n                  +- Exchange (69)\n                     +- Project (68)\n                        +- BroadcastHashJoin LeftOuter BuildRight (67)\n                           :- Project (58)\n                           :  +- BroadcastHashJoin Inner BuildRight (57)\n                           :     :- Project (54)\n                           :     :  +- HashAggregate (53)\n                           :     :     +- Exchange (52)\n                           :     :        +- HashAggregate (51)\n                           :     :           +- HashAggregate (50)\n                           :     :              +- Exchange (49)\n                           :     :                 +- HashAggregate (48)\n                           :     :                    +- Project (47)\n                           :     :                       +- BroadcastHashJoin LeftOuter BuildRight (46)\n                           :     :                          :- Filter (2)\n                           :     :                          :  +- Scan parquet  (1)\n                           :     :                          +- BroadcastExchange (45)\n                           :     :                             +- Filter (44)\n                           :     :                                +- Scan parquet  (3)\n                           :     +- BroadcastExchange (56)\n                           :        +- Filter (55)\n                           :           +- Scan parquet  (17)\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  (24)\n\n\n(1) Scan parquet \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(3) Scan parquet \nOutput [3]: [id#10L, user_id#11L, lesson_id#12L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(4) ColumnarToRow [codegen id : 1]\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\n\n(5) Filter [codegen id : 1]\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nCondition : isnotnull(lesson_id#12L)\n\n(6) BroadcastExchange\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=221]\n\n(7) BroadcastQueryStage\nOutput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: 0\n\n(8) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#12L]\nJoin type: LeftOuter\nJoin condition: None\n\n(9) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nInput [6]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L, lesson_id#12L]\n\n(10) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [partial_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(11) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=232]\n\n(12) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [merge_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(13) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#10L), partial_count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\n\n(14) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=235]\n\n(15) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#10L), count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#10L)#63L AS total_views#64L, count(user_id#11L)#66L AS unique_viewers#65L]\n\n(16) Project\nOutput [6]: [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#64L, unique_viewers#65L]\n\n(17) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(18) ColumnarToRow [codegen id : 2]\nInput [2]: [id#26L, title#27]\n\n(19) Filter [codegen id : 2]\nInput [2]: [id#26L, title#27]\nCondition : isnotnull(id#26L)\n\n(20) BroadcastExchange\nInput [2]: [id#26L, title#27]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=245]\n\n(21) BroadcastQueryStage\nOutput [2]: [id#26L, title#27]\nArguments: 1\n\n(22) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#26L]\nJoin type: Inner\nJoin condition: None\n\n(23) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]\nInput [8]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, id#26L, title#27]\n\n(24) Scan parquet \nOutput [2]: [user_id#19L, course_id#20L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(25) ColumnarToRow [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\n\n(26) Filter [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\nCondition : isnotnull(course_id#20L)\n\n(27) HashAggregate [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(28) Exchange\nInput [2]: [course_id#20L, user_id#19L]\nArguments: hashpartitioning(course_id#20L, user_id#19L, 200), ENSURE_REQUIREMENTS, [plan_id=264]\n\n(29) ShuffleQueryStage\nOutput [2]: [course_id#20L, user_id#19L]\nArguments: 2\n\n(30) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(31) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [partial_count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count#171L]\n\n(32) Exchange\nInput [2]: [course_id#20L, count#171L]\nArguments: hashpartitioning(course_id#20L, 200), ENSURE_REQUIREMENTS, [plan_id=277]\n\n(33) HashAggregate\nInput [2]: [course_id#20L, count#171L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count(user_id#19L)#92L AS enrolled_to_course#91L]\n\n(34) BroadcastExchange\nInput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=279]\n\n(35) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(36) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]\nInput [9]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27, course_id#20L, enrolled_to_course#91L]\n\n(37) Exchange\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=282]\n\n(38) Sort\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [total_views#64L DESC NULLS LAST], false, 0\n\n(39) Window\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]\n\n(40) Project\nOutput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146, popularity_rank#145]\n\n(41) Sort\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nArguments: [popularity_rank#145 ASC NULLS FIRST], true, 0\n\n(42) WriteFiles\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\n\n(43) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(44) Filter\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nCondition : isnotnull(lesson_id#12L)\n\n(45) BroadcastExchange\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(46) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#12L]\nJoin type: LeftOuter\nJoin condition: None\n\n(47) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nInput [6]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L, lesson_id#12L]\n\n(48) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [partial_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(49) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(50) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [merge_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(51) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#10L), partial_count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\n\n(52) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(53) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#10L), count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#10L)#63L AS total_views#64L, count(user_id#11L)#66L AS unique_viewers#65L]\n\n(54) Project\nOutput [6]: [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#64L, unique_viewers#65L]\n\n(55) Filter\nInput [2]: [id#26L, title#27]\nCondition : isnotnull(id#26L)\n\n(56) BroadcastExchange\nInput [2]: [id#26L, title#27]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(57) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#26L]\nJoin type: Inner\nJoin condition: None\n\n(58) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]\nInput [8]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, id#26L, title#27]\n\n(59) Filter\nInput [2]: [user_id#19L, course_id#20L]\nCondition : isnotnull(course_id#20L)\n\n(60) HashAggregate\nInput [2]: [user_id#19L, course_id#20L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(61) Exchange\nInput [2]: [course_id#20L, user_id#19L]\nArguments: hashpartitioning(course_id#20L, user_id#19L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(62) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(63) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [partial_count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count#171L]\n\n(64) Exchange\nInput [2]: [course_id#20L, count#171L]\nArguments: hashpartitioning(course_id#20L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(65) HashAggregate\nInput [2]: [course_id#20L, count#171L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count(user_id#19L)#92L AS enrolled_to_course#91L]\n\n(66) BroadcastExchange\nInput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(67) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(68) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]\nInput [9]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27, course_id#20L, enrolled_to_course#91L]\n\n(69) Exchange\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=153]\n\n(70) Sort\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [total_views#64L DESC NULLS LAST], false, 0\n\n(71) Window\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]\n\n(72) Project\nOutput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146, popularity_rank#145]\n\n(73) Sort\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nArguments: [popularity_rank#145 ASC NULLS FIRST], true, 0\n\n(74) WriteFiles\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\n\n(75) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(76) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [popularity_rank#145 ASC NULLS FIRST], true, 0","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]","children":[{"nodeName":"Window","simpleString":"Window [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]","children":[{"nodeName":"Sort","simpleString":"Sort [total_views#64L DESC NULLS LAST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=282]","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#1L], [course_id#20L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#1L], [id#26L], Inner, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L], functions=[count(id#10L), count(distinct user_id#11L)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=235]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L], functions=[merge_count(id#10L), partial_count(distinct user_id#11L)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L, user_id#11L], functions=[merge_count(id#10L)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=232]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L, user_id#11L], functions=[partial_count(id#10L)])","children":[{"nodeName":"Project","simpleString":"Project [id#0L, course_id#1L, title#2, id#10L, user_id#11L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#0L], [lesson_id#12L], LeftOuter, BuildRight, false","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#1L)","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [id#0L,course_id#1L,title#2] Batched: true, DataFilters: [isnotnull(course_id#1L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<id:bigint,course_id:bigint,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.parquet]","ReadSchema":"struct<id:bigint,course_id:bigint,title:string>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#1L)]"},"metrics":[{"name":"number of files read","accumulatorId":250,"metricType":"sum"},{"name":"scan time","accumulatorId":249,"metricType":"timing"},{"name":"metadata time","accumulatorId":251,"metricType":"timing"},{"name":"size of files read","accumulatorId":252,"metricType":"size"},{"name":"number of output rows","accumulatorId":248,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":247,"metricType":"sum"}]},{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 0","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=221]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(lesson_id#12L)","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [id#10L,user_id#11L,lesson_id#12L] Batched: true, DataFilters: [isnotnull(lesson_id#12L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lesson_views.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id)], ReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lesson_views.parquet]","ReadSchema":"struct<id:bigint,user_id:bigint,lesson_id:bigint>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(lesson_id)]","DataFilters":"[isnotnull(lesson_id#12L)]"},"metrics":[{"name":"number of files read","accumulatorId":261,"metricType":"sum"},{"name":"scan time","accumulatorId":260,"metricType":"timing"},{"name":"metadata time","accumulatorId":262,"metricType":"timing"},{"name":"size of files read","accumulatorId":263,"metricType":"size"},{"name":"number of output rows","accumulatorId":259,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":461,"metricType":"sum"},{"name":"number of input batches","accumulatorId":462,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":460,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":459,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":458,"metricType":"timing"},{"name":"time to build","accumulatorId":457,"metricType":"timing"},{"name":"time to collect","accumulatorId":456,"metricType":"timing"},{"name":"number of output rows","accumulatorId":455,"metricType":"sum"},{"name":"data size","accumulatorId":454,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":453,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":449,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":450,"metricType":"timing"},{"name":"peak memory","accumulatorId":448,"metricType":"size"},{"name":"number of output rows","accumulatorId":447,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":452,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":451,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":445,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":439,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":446,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":440,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":437,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":434,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":443,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":436,"metricType":"sum"},{"name":"records read","accumulatorId":433,"metricType":"sum"},{"name":"local bytes read","accumulatorId":431,"metricType":"size"},{"name":"fetch wait time","accumulatorId":432,"metricType":"timing"},{"name":"remote bytes 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{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[518,200]]}
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{"Event":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":5,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":15,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"20\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[14],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":14,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"22\",\"name\":\"WholeStageCodegen (1)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[11],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of 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{"Event":"SparkListenerJobStart","Job ID":6,"Submission Time":1782979229865,"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\":\"24\",\"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":10,"Name":"FileScanRDD","Scope":"{\"id\":\"38\",\"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 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-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 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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\":\"24\",\"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":10,"Name":"FileScanRDD","Scope":"{\"id\":\"38\",\"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 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{"Event":"SparkListenerStageCompleted","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\":\"24\",\"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":10,"Name":"FileScanRDD","Scope":"{\"id\":\"38\",\"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":18,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"25\",\"name\":\"WholeStageCodegen (3)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[12],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":12,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"38\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[10],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"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":1782979229870,"Completion Time":1782979230634,"Accumulables":[{"ID":349,"Name":"number of output rows","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":350,"Name":"scan time","Value":"184","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":517,"Name":"data size","Value":"1080","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":536,"Name":"shuffle bytes written","Value":"2677","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":537,"Name":"shuffle records written","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":538,"Name":"shuffle write time","Value":"25849892","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":539,"Name":"duration","Value":"320","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":540,"Name":"number of output rows","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":541,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":543,"Name":"time in aggregation build","Value":"190","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":546,"Name":"number of output rows","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":547,"Name":"number of output rows","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":548,"Name":"number of input batches","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":619,"Name":"internal.metrics.executorDeserializeTime","Value":189,"Internal":true,"Count Failed Values":true},{"ID":620,"Name":"internal.metrics.executorDeserializeCpuTime","Value":112791513,"Internal":true,"Count Failed Values":true},{"ID":621,"Name":"internal.metrics.executorRunTime","Value":531,"Internal":true,"Count Failed Values":true},{"ID":622,"Name":"internal.metrics.executorCpuTime","Value":355176379,"Internal":true,"Count Failed Values":true},{"ID":623,"Name":"internal.metrics.resultSize","Value":3023,"Internal":true,"Count Failed Values":true},{"ID":625,"Name":"internal.metrics.resultSerializationTime","Value":3,"Internal":true,"Count Failed Values":true},{"ID":628,"Name":"internal.metrics.peakExecutionMemory","Value":262144,"Internal":true,"Count Failed Values":true},{"ID":647,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":2677,"Internal":true,"Count Failed Values":true},{"ID":648,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":45,"Internal":true,"Count Failed Values":true},{"ID":649,"Name":"internal.metrics.shuffle.write.writeTime","Value":25849892,"Internal":true,"Count Failed Values":true},{"ID":650,"Name":"internal.metrics.input.bytesRead","Value":4689,"Internal":true,"Count Failed Values":true},{"ID":651,"Name":"internal.metrics.input.recordsRead","Value":45,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":6,"Completion Time":1782979230642,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (80)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (45)\n   +- WriteFiles (44)\n      +- Sort (43)\n         +- Project (42)\n            +- Window (41)\n               +- Sort (40)\n                  +- Exchange (39)\n                     +- Project (38)\n                        +- BroadcastHashJoin LeftOuter BuildRight (37)\n                           :- Project (25)\n                           :  +- BroadcastHashJoin Inner BuildRight (24)\n                           :     :- Project (18)\n                           :     :  +- HashAggregate (17)\n                           :     :     +- Exchange (16)\n                           :     :        +- HashAggregate (15)\n                           :     :           +- HashAggregate (14)\n                           :     :              +- ShuffleQueryStage (13)\n                           :     :                 +- Exchange (12)\n                           :     :                    +- * HashAggregate (11)\n                           :     :                       +- * Project (10)\n                           :     :                          +- * BroadcastHashJoin LeftOuter BuildRight (9)\n                           :     :                             :- * Filter (3)\n                           :     :                             :  +- * ColumnarToRow (2)\n                           :     :                             :     +- Scan parquet  (1)\n                           :     :                             +- BroadcastQueryStage (8), Statistics(sizeInBytes=1024.1 KiB, rowCount=58)\n                           :     :                                +- BroadcastExchange (7)\n                           :     :                                   +- * Filter (6)\n                           :     :                                      +- * ColumnarToRow (5)\n                           :     :                                         +- Scan parquet  (4)\n                           :     +- BroadcastQueryStage (23), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                           :        +- BroadcastExchange (22)\n                           :           +- * Filter (21)\n                           :              +- * ColumnarToRow (20)\n                           :                 +- Scan parquet  (19)\n                           +- BroadcastExchange (36)\n                              +- HashAggregate (35)\n                                 +- Exchange (34)\n                                    +- HashAggregate (33)\n                                       +- HashAggregate (32)\n                                          +- ShuffleQueryStage (31)\n                                             +- Exchange (30)\n                                                +- * HashAggregate (29)\n                                                   +- * Filter (28)\n                                                      +- * ColumnarToRow (27)\n                                                         +- Scan parquet  (26)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (79)\n   +- WriteFiles (78)\n      +- Sort (77)\n         +- Project (76)\n            +- Window (75)\n               +- Sort (74)\n                  +- Exchange (73)\n                     +- Project (72)\n                        +- BroadcastHashJoin LeftOuter BuildRight (71)\n                           :- Project (62)\n                           :  +- BroadcastHashJoin Inner BuildRight (61)\n                           :     :- Project (58)\n                           :     :  +- HashAggregate (57)\n                           :     :     +- Exchange (56)\n                           :     :        +- HashAggregate (55)\n                           :     :           +- HashAggregate (54)\n                           :     :              +- Exchange (53)\n                           :     :                 +- HashAggregate (52)\n                           :     :                    +- Project (51)\n                           :     :                       +- BroadcastHashJoin LeftOuter BuildRight (50)\n                           :     :                          :- Filter (47)\n                           :     :                          :  +- Scan parquet  (46)\n                           :     :                          +- BroadcastExchange (49)\n                           :     :                             +- Filter (48)\n                           :     :                                +- Scan parquet  (4)\n                           :     +- BroadcastExchange (60)\n                           :        +- Filter (59)\n                           :           +- Scan parquet  (19)\n                           +- BroadcastExchange (70)\n                              +- HashAggregate (69)\n                                 +- Exchange (68)\n                                    +- HashAggregate (67)\n                                       +- HashAggregate (66)\n                                          +- Exchange (65)\n                                             +- HashAggregate (64)\n                                                +- Filter (63)\n                                                   +- Scan parquet  (26)\n\n\n(1) Scan parquet \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) ColumnarToRow [codegen id : 4]\nInput [3]: [id#0L, course_id#1L, title#2]\n\n(3) Filter [codegen id : 4]\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(4) Scan parquet \nOutput [3]: [id#10L, user_id#11L, lesson_id#12L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(5) ColumnarToRow [codegen id : 1]\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\n\n(6) Filter [codegen id : 1]\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nCondition : isnotnull(lesson_id#12L)\n\n(7) BroadcastExchange\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=221]\n\n(8) BroadcastQueryStage\nOutput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: 0\n\n(9) BroadcastHashJoin [codegen id : 4]\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#12L]\nJoin type: LeftOuter\nJoin condition: None\n\n(10) Project [codegen id : 4]\nOutput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nInput [6]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L, lesson_id#12L]\n\n(11) HashAggregate [codegen id : 4]\nInput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [partial_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(12) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=434]\n\n(13) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: 3\n\n(14) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [merge_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(15) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#10L), partial_count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\n\n(16) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=452]\n\n(17) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#10L), count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#10L)#63L AS total_views#64L, count(user_id#11L)#66L AS unique_viewers#65L]\n\n(18) Project\nOutput [6]: [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#64L, unique_viewers#65L]\n\n(19) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(20) ColumnarToRow [codegen id : 2]\nInput [2]: [id#26L, title#27]\n\n(21) Filter [codegen id : 2]\nInput [2]: [id#26L, title#27]\nCondition : isnotnull(id#26L)\n\n(22) BroadcastExchange\nInput [2]: [id#26L, title#27]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=245]\n\n(23) BroadcastQueryStage\nOutput [2]: [id#26L, title#27]\nArguments: 1\n\n(24) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#26L]\nJoin type: Inner\nJoin condition: None\n\n(25) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]\nInput [8]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, id#26L, title#27]\n\n(26) Scan parquet \nOutput [2]: [user_id#19L, course_id#20L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(27) ColumnarToRow [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\n\n(28) Filter [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\nCondition : isnotnull(course_id#20L)\n\n(29) HashAggregate [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(30) Exchange\nInput [2]: [course_id#20L, user_id#19L]\nArguments: hashpartitioning(course_id#20L, user_id#19L, 200), ENSURE_REQUIREMENTS, [plan_id=264]\n\n(31) ShuffleQueryStage\nOutput [2]: [course_id#20L, user_id#19L]\nArguments: 2\n\n(32) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(33) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [partial_count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count#171L]\n\n(34) Exchange\nInput [2]: [course_id#20L, count#171L]\nArguments: hashpartitioning(course_id#20L, 200), ENSURE_REQUIREMENTS, [plan_id=277]\n\n(35) HashAggregate\nInput [2]: [course_id#20L, count#171L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count(user_id#19L)#92L AS enrolled_to_course#91L]\n\n(36) BroadcastExchange\nInput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=370]\n\n(37) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(38) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]\nInput [9]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27, course_id#20L, enrolled_to_course#91L]\n\n(39) Exchange\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=459]\n\n(40) Sort\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [total_views#64L DESC NULLS LAST], false, 0\n\n(41) Window\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]\n\n(42) Project\nOutput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146, popularity_rank#145]\n\n(43) Sort\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nArguments: [popularity_rank#145 ASC NULLS FIRST], true, 0\n\n(44) WriteFiles\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\n\n(45) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(46) Scan parquet \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(47) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(48) Filter\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nCondition : isnotnull(lesson_id#12L)\n\n(49) BroadcastExchange\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(50) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#12L]\nJoin type: LeftOuter\nJoin condition: None\n\n(51) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nInput [6]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L, lesson_id#12L]\n\n(52) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [partial_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(53) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(54) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [merge_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(55) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#10L), partial_count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\n\n(56) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(57) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#10L), count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#10L)#63L AS total_views#64L, count(user_id#11L)#66L AS unique_viewers#65L]\n\n(58) Project\nOutput [6]: [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#64L, unique_viewers#65L]\n\n(59) Filter\nInput [2]: [id#26L, title#27]\nCondition : isnotnull(id#26L)\n\n(60) BroadcastExchange\nInput [2]: [id#26L, title#27]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(61) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#26L]\nJoin type: Inner\nJoin condition: None\n\n(62) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]\nInput [8]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, id#26L, title#27]\n\n(63) Filter\nInput [2]: [user_id#19L, course_id#20L]\nCondition : isnotnull(course_id#20L)\n\n(64) HashAggregate\nInput [2]: [user_id#19L, course_id#20L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(65) Exchange\nInput [2]: [course_id#20L, user_id#19L]\nArguments: hashpartitioning(course_id#20L, user_id#19L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(66) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(67) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [partial_count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count#171L]\n\n(68) Exchange\nInput [2]: [course_id#20L, count#171L]\nArguments: hashpartitioning(course_id#20L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(69) HashAggregate\nInput [2]: [course_id#20L, count#171L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count(user_id#19L)#92L AS enrolled_to_course#91L]\n\n(70) BroadcastExchange\nInput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(71) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(72) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]\nInput [9]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27, course_id#20L, enrolled_to_course#91L]\n\n(73) Exchange\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=153]\n\n(74) Sort\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [total_views#64L DESC NULLS LAST], false, 0\n\n(75) Window\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]\n\n(76) Project\nOutput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146, popularity_rank#145]\n\n(77) Sort\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nArguments: [popularity_rank#145 ASC NULLS FIRST], true, 0\n\n(78) WriteFiles\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\n\n(79) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(80) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [popularity_rank#145 ASC NULLS FIRST], true, 0","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]","children":[{"nodeName":"Window","simpleString":"Window [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]","children":[{"nodeName":"Sort","simpleString":"Sort [total_views#64L DESC NULLS LAST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=459]","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#1L], [course_id#20L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#1L], [id#26L], Inner, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L], functions=[count(id#10L), count(distinct user_id#11L)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=452]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L], functions=[merge_count(id#10L), partial_count(distinct user_id#11L)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L, user_id#11L], functions=[merge_count(id#10L)])","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 3","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=434]","children":[{"nodeName":"WholeStageCodegen (4)","simpleString":"WholeStageCodegen (4)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L, user_id#11L], functions=[partial_count(id#10L)])","children":[{"nodeName":"Project","simpleString":"Project [id#0L, course_id#1L, title#2, id#10L, user_id#11L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#0L], [lesson_id#12L], LeftOuter, BuildRight, false","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#1L)","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [id#0L,course_id#1L,title#2] Batched: true, DataFilters: [isnotnull(course_id#1L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<id:bigint,course_id:bigint,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.parquet]","ReadSchema":"struct<id:bigint,course_id:bigint,title:string>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#1L)]"},"metrics":[{"name":"number of files read","accumulatorId":766,"metricType":"sum"},{"name":"scan time","accumulatorId":765,"metricType":"timing"},{"name":"metadata time","accumulatorId":767,"metricType":"timing"},{"name":"size of files read","accumulatorId":768,"metricType":"size"},{"name":"number of output rows","accumulatorId":764,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":762,"metricType":"sum"},{"name":"number of input batches","accumulatorId":763,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":761,"metricType":"sum"}]},{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 0","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=221]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(lesson_id#12L)","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [id#10L,user_id#11L,lesson_id#12L] Batched: true, DataFilters: [isnotnull(lesson_id#12L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lesson_views.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id)], ReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lesson_views.parquet]","ReadSchema":"struct<id:bigint,user_id:bigint,lesson_id:bigint>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(lesson_id)]","DataFilters":"[isnotnull(lesson_id#12L)]"},"metrics":[{"name":"number of files read","accumulatorId":261,"metricType":"sum"},{"name":"scan time","accumulatorId":260,"metricType":"timing"},{"name":"metadata time","accumulatorId":262,"metricType":"timing"},{"name":"size of files read","accumulatorId":263,"metricType":"size"},{"name":"number of output rows","accumulatorId":259,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":461,"metricType":"sum"},{"name":"number of input batches","accumulatorId":462,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":460,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":459,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":458,"metricType":"timing"},{"name":"time to build","accumulatorId":457,"metricType":"timing"},{"name":"time to collect","accumulatorId":456,"metricType":"timing"},{"name":"number of output rows","accumulatorId":455,"metricType":"sum"},{"name":"data size","accumulatorId":454,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":760,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":756,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":757,"metricType":"timing"},{"name":"peak memory","accumulatorId":755,"metricType":"size"},{"name":"number of output rows","accumulatorId":754,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":759,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":758,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":753,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":751,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":745,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":752,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":746,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":743,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":740,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":749,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":742,"metricType":"sum"},{"name":"records read","accumulatorId":739,"metricType":"sum"},{"name":"local bytes read","accumulatorId":737,"metricType":"size"},{"name":"fetch wait time","accumulatorId":738,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":735,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":741,"metricType":"sum"},{"name":"local blocks read","accumulatorId":734,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":744,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":733,"metricType":"sum"},{"name":"data size","accumulatorId":731,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":747,"metricType":"size"},{"name":"number of partitions","accumulatorId":732,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":748,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":736,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":750,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":727,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":728,"metricType":"timing"},{"name":"peak memory","accumulatorId":726,"metricType":"size"},{"name":"number of output rows","accumulatorId":725,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":730,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":729,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":721,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":722,"metricType":"timing"},{"name":"peak memory","accumulatorId":720,"metricType":"size"},{"name":"number of output rows","accumulatorId":719,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":724,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":723,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":717,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":711,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":718,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":712,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":709,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":706,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":715,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":708,"metricType":"sum"},{"name":"records read","accumulatorId":705,"metricType":"sum"},{"name":"local bytes read","accumulatorId":703,"metricType":"size"},{"name":"fetch wait time","accumulatorId":704,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":701,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":707,"metricType":"sum"},{"name":"local blocks read","accumulatorId":700,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":710,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":699,"metricType":"sum"},{"name":"data size","accumulatorId":697,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":713,"metricType":"size"},{"name":"number of partitions","accumulatorId":698,"metricType":"sum"},{"name":"remote reqs 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--add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}}
{"Event":"SparkListenerTaskStart","Stage ID":7,"Stage Attempt ID":0,"Task Info":{"Task ID":7,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1782979230792,"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.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (82)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (47)\n   +- WriteFiles (46)\n      +- Sort (45)\n         +- Project (44)\n            +- Window (43)\n               +- Sort (42)\n                  +- Exchange (41)\n                     +- Project (40)\n                        +- BroadcastHashJoin LeftOuter BuildRight (39)\n                           :- Project (25)\n                           :  +- BroadcastHashJoin Inner BuildRight (24)\n                           :     :- Project (18)\n                           :     :  +- HashAggregate (17)\n                           :     :     +- Exchange (16)\n                           :     :        +- HashAggregate (15)\n                           :     :           +- HashAggregate (14)\n                           :     :              +- ShuffleQueryStage (13)\n                           :     :                 +- Exchange (12)\n                           :     :                    +- * HashAggregate (11)\n                           :     :                       +- * Project (10)\n                           :     :                          +- * BroadcastHashJoin LeftOuter BuildRight (9)\n                           :     :                             :- * Filter (3)\n                           :     :                             :  +- * ColumnarToRow (2)\n                           :     :                             :     +- Scan parquet  (1)\n                           :     :                             +- BroadcastQueryStage (8), Statistics(sizeInBytes=1024.1 KiB, rowCount=58)\n                           :     :                                +- BroadcastExchange (7)\n                           :     :                                   +- * Filter (6)\n                           :     :                                      +- * ColumnarToRow (5)\n                           :     :                                         +- Scan parquet  (4)\n                           :     +- BroadcastQueryStage (23), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                           :        +- BroadcastExchange (22)\n                           :           +- * Filter (21)\n                           :              +- * ColumnarToRow (20)\n                           :                 +- Scan parquet  (19)\n                           +- BroadcastExchange (38)\n                              +- HashAggregate (37)\n                                 +- ShuffleQueryStage (36)\n                                    +- Exchange (35)\n                                       +- * HashAggregate (34)\n                                          +- * HashAggregate (33)\n                                             +- AQEShuffleRead (32)\n                                                +- ShuffleQueryStage (31), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                                                   +- Exchange (30)\n                                                      +- * HashAggregate (29)\n                                                         +- * Filter (28)\n                                                            +- * ColumnarToRow (27)\n                                                               +- Scan parquet  (26)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (81)\n   +- WriteFiles (80)\n      +- Sort (79)\n         +- Project (78)\n            +- Window (77)\n               +- Sort (76)\n                  +- Exchange (75)\n                     +- Project (74)\n                        +- BroadcastHashJoin LeftOuter BuildRight (73)\n                           :- Project (64)\n                           :  +- BroadcastHashJoin Inner BuildRight (63)\n                           :     :- Project (60)\n                           :     :  +- HashAggregate (59)\n                           :     :     +- Exchange (58)\n                           :     :        +- HashAggregate (57)\n                           :     :           +- HashAggregate (56)\n                           :     :              +- Exchange (55)\n                           :     :                 +- HashAggregate (54)\n                           :     :                    +- Project (53)\n                           :     :                       +- BroadcastHashJoin LeftOuter BuildRight (52)\n                           :     :                          :- Filter (49)\n                           :     :                          :  +- Scan parquet  (48)\n                           :     :                          +- BroadcastExchange (51)\n                           :     :                             +- Filter (50)\n                           :     :                                +- Scan parquet  (4)\n                           :     +- BroadcastExchange (62)\n                           :        +- Filter (61)\n                           :           +- Scan parquet  (19)\n                           +- BroadcastExchange (72)\n                              +- HashAggregate (71)\n                                 +- Exchange (70)\n                                    +- HashAggregate (69)\n                                       +- HashAggregate (68)\n                                          +- Exchange (67)\n                                             +- HashAggregate (66)\n                                                +- Filter (65)\n                                                   +- Scan parquet  (26)\n\n\n(1) Scan parquet \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) ColumnarToRow [codegen id : 4]\nInput [3]: [id#0L, course_id#1L, title#2]\n\n(3) Filter [codegen id : 4]\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(4) Scan parquet \nOutput [3]: [id#10L, user_id#11L, lesson_id#12L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(5) ColumnarToRow [codegen id : 1]\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\n\n(6) Filter [codegen id : 1]\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nCondition : isnotnull(lesson_id#12L)\n\n(7) BroadcastExchange\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=221]\n\n(8) BroadcastQueryStage\nOutput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: 0\n\n(9) BroadcastHashJoin [codegen id : 4]\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#12L]\nJoin type: LeftOuter\nJoin condition: None\n\n(10) Project [codegen id : 4]\nOutput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nInput [6]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L, lesson_id#12L]\n\n(11) HashAggregate [codegen id : 4]\nInput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [partial_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(12) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=434]\n\n(13) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: 3\n\n(14) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [merge_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(15) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#10L), partial_count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\n\n(16) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=452]\n\n(17) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#10L), count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#10L)#63L AS total_views#64L, count(user_id#11L)#66L AS unique_viewers#65L]\n\n(18) Project\nOutput [6]: [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#64L, unique_viewers#65L]\n\n(19) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(20) ColumnarToRow [codegen id : 2]\nInput [2]: [id#26L, title#27]\n\n(21) Filter [codegen id : 2]\nInput [2]: [id#26L, title#27]\nCondition : isnotnull(id#26L)\n\n(22) BroadcastExchange\nInput [2]: [id#26L, title#27]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=245]\n\n(23) BroadcastQueryStage\nOutput [2]: [id#26L, title#27]\nArguments: 1\n\n(24) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#26L]\nJoin type: Inner\nJoin condition: None\n\n(25) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]\nInput [8]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, id#26L, title#27]\n\n(26) Scan parquet \nOutput [2]: [user_id#19L, course_id#20L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(27) ColumnarToRow [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\n\n(28) Filter [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\nCondition : isnotnull(course_id#20L)\n\n(29) HashAggregate [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(30) Exchange\nInput [2]: [course_id#20L, user_id#19L]\nArguments: hashpartitioning(course_id#20L, user_id#19L, 200), ENSURE_REQUIREMENTS, [plan_id=264]\n\n(31) ShuffleQueryStage\nOutput [2]: [course_id#20L, user_id#19L]\nArguments: 2\n\n(32) AQEShuffleRead\nInput [2]: [course_id#20L, user_id#19L]\nArguments: coalesced\n\n(33) HashAggregate [codegen id : 5]\nInput [2]: [course_id#20L, user_id#19L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(34) HashAggregate [codegen id : 5]\nInput [2]: [course_id#20L, user_id#19L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [partial_count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count#171L]\n\n(35) Exchange\nInput [2]: [course_id#20L, count#171L]\nArguments: hashpartitioning(course_id#20L, 200), ENSURE_REQUIREMENTS, [plan_id=540]\n\n(36) ShuffleQueryStage\nOutput [2]: [course_id#20L, count#171L]\nArguments: 4\n\n(37) HashAggregate\nInput [2]: [course_id#20L, count#171L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count(user_id#19L)#92L AS enrolled_to_course#91L]\n\n(38) BroadcastExchange\nInput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=552]\n\n(39) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(40) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]\nInput [9]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27, course_id#20L, enrolled_to_course#91L]\n\n(41) Exchange\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=555]\n\n(42) Sort\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [total_views#64L DESC NULLS LAST], false, 0\n\n(43) Window\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]\n\n(44) Project\nOutput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146, popularity_rank#145]\n\n(45) Sort\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nArguments: [popularity_rank#145 ASC NULLS FIRST], true, 0\n\n(46) WriteFiles\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\n\n(47) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(48) Scan parquet \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(49) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(50) Filter\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nCondition : isnotnull(lesson_id#12L)\n\n(51) BroadcastExchange\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(52) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#12L]\nJoin type: LeftOuter\nJoin condition: None\n\n(53) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nInput [6]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L, lesson_id#12L]\n\n(54) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [partial_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(55) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(56) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [merge_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(57) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#10L), partial_count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\n\n(58) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(59) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#10L), count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#10L)#63L AS total_views#64L, count(user_id#11L)#66L AS unique_viewers#65L]\n\n(60) Project\nOutput [6]: [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#64L, unique_viewers#65L]\n\n(61) Filter\nInput [2]: [id#26L, title#27]\nCondition : isnotnull(id#26L)\n\n(62) BroadcastExchange\nInput [2]: [id#26L, title#27]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(63) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#26L]\nJoin type: Inner\nJoin condition: None\n\n(64) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]\nInput [8]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, id#26L, title#27]\n\n(65) Filter\nInput [2]: [user_id#19L, course_id#20L]\nCondition : isnotnull(course_id#20L)\n\n(66) HashAggregate\nInput [2]: [user_id#19L, course_id#20L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(67) Exchange\nInput [2]: [course_id#20L, user_id#19L]\nArguments: hashpartitioning(course_id#20L, user_id#19L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(68) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(69) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [partial_count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count#171L]\n\n(70) Exchange\nInput [2]: [course_id#20L, count#171L]\nArguments: hashpartitioning(course_id#20L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(71) HashAggregate\nInput [2]: [course_id#20L, count#171L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count(user_id#19L)#92L AS enrolled_to_course#91L]\n\n(72) BroadcastExchange\nInput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(73) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(74) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]\nInput [9]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27, course_id#20L, enrolled_to_course#91L]\n\n(75) Exchange\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=153]\n\n(76) Sort\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [total_views#64L DESC NULLS LAST], false, 0\n\n(77) Window\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]\n\n(78) Project\nOutput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146, popularity_rank#145]\n\n(79) Sort\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nArguments: [popularity_rank#145 ASC NULLS FIRST], true, 0\n\n(80) WriteFiles\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\n\n(81) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(82) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [popularity_rank#145 ASC NULLS FIRST], true, 0","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, 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Values":true},{"ID":806,"Name":"internal.metrics.input.recordsRead","Update":18,"Value":18,"Internal":true,"Count Failed Values":true}]},"Task Executor Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":89,"Executor Deserialize CPU Time":72633720,"Executor Run Time":236,"Executor CPU Time":177401267,"Peak Execution Memory":4458880,"Result Size":3920,"JVM GC Time":21,"Result Serialization Time":0,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":0,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":0,"Total Records Read":0,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":5348,"Shuffle Write Time":6398425,"Shuffle Records Written":58},"Input Metrics":{"Bytes Read":6122,"Records Read":18},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":7,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":23,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"47\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[22],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":20,"Name":"FileScanRDD","Scope":"{\"id\":\"57\",\"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":22,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"48\",\"name\":\"WholeStageCodegen (4)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[21],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":21,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"57\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[20],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"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":1782979230781,"Completion Time":1782979231128,"Accumulables":[{"ID":731,"Name":"data size","Value":"4128","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":750,"Name":"shuffle bytes written","Value":"5348","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":751,"Name":"shuffle records written","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":752,"Name":"shuffle write time","Value":"6398425","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":753,"Name":"duration","Value":"172","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":754,"Name":"number of output rows","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":755,"Name":"peak memory","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":757,"Name":"time in aggregation build","Value":"57","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":758,"Name":"avg hash probes per key","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":760,"Name":"number of output rows","Value":"61","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":761,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":762,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":763,"Name":"number of input batches","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":764,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":765,"Name":"scan time","Value":"52","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":774,"Name":"internal.metrics.executorDeserializeTime","Value":89,"Internal":true,"Count Failed Values":true},{"ID":775,"Name":"internal.metrics.executorDeserializeCpuTime","Value":72633720,"Internal":true,"Count Failed Values":true},{"ID":776,"Name":"internal.metrics.executorRunTime","Value":236,"Internal":true,"Count Failed Values":true},{"ID":777,"Name":"internal.metrics.executorCpuTime","Value":177401267,"Internal":true,"Count Failed Values":true},{"ID":778,"Name":"internal.metrics.resultSize","Value":3920,"Internal":true,"Count Failed Values":true},{"ID":779,"Name":"internal.metrics.jvmGCTime","Value":21,"Internal":true,"Count Failed Values":true},{"ID":783,"Name":"internal.metrics.peakExecutionMemory","Value":4458880,"Internal":true,"Count Failed Values":true},{"ID":802,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":5348,"Internal":true,"Count Failed Values":true},{"ID":803,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":58,"Internal":true,"Count Failed Values":true},{"ID":804,"Name":"internal.metrics.shuffle.write.writeTime","Value":6398425,"Internal":true,"Count Failed Values":true},{"ID":805,"Name":"internal.metrics.input.bytesRead","Value":6122,"Internal":true,"Count Failed Values":true},{"ID":806,"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":7,"Completion Time":1782979231130,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (84)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (49)\n   +- WriteFiles (48)\n      +- Sort (47)\n         +- Project (46)\n            +- Window (45)\n               +- Sort (44)\n                  +- Exchange (43)\n                     +- Project (42)\n                        +- BroadcastHashJoin LeftOuter BuildRight (41)\n                           :- Project (27)\n                           :  +- BroadcastHashJoin Inner BuildRight (26)\n                           :     :- Project (20)\n                           :     :  +- HashAggregate (19)\n                           :     :     +- ShuffleQueryStage (18)\n                           :     :        +- Exchange (17)\n                           :     :           +- * HashAggregate (16)\n                           :     :              +- * HashAggregate (15)\n                           :     :                 +- AQEShuffleRead (14)\n                           :     :                    +- ShuffleQueryStage (13), Statistics(sizeInBytes=4.0 KiB, rowCount=58)\n                           :     :                       +- Exchange (12)\n                           :     :                          +- * HashAggregate (11)\n                           :     :                             +- * Project (10)\n                           :     :                                +- * BroadcastHashJoin LeftOuter BuildRight (9)\n                           :     :                                   :- * Filter (3)\n                           :     :                                   :  +- * ColumnarToRow (2)\n                           :     :                                   :     +- Scan parquet  (1)\n                           :     :                                   +- BroadcastQueryStage (8), Statistics(sizeInBytes=1024.1 KiB, rowCount=58)\n                           :     :                                      +- BroadcastExchange (7)\n                           :     :                                         +- * Filter (6)\n                           :     :                                            +- * ColumnarToRow (5)\n                           :     :                                               +- Scan parquet  (4)\n                           :     +- BroadcastQueryStage (25), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                           :        +- BroadcastExchange (24)\n                           :           +- * Filter (23)\n                           :              +- * ColumnarToRow (22)\n                           :                 +- Scan parquet  (21)\n                           +- BroadcastExchange (40)\n                              +- HashAggregate (39)\n                                 +- ShuffleQueryStage (38)\n                                    +- Exchange (37)\n                                       +- * HashAggregate (36)\n                                          +- * HashAggregate (35)\n                                             +- AQEShuffleRead (34)\n                                                +- ShuffleQueryStage (33), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                                                   +- Exchange (32)\n                                                      +- * HashAggregate (31)\n                                                         +- * Filter (30)\n                                                            +- * ColumnarToRow (29)\n                                                               +- Scan parquet  (28)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (83)\n   +- WriteFiles (82)\n      +- Sort (81)\n         +- Project (80)\n            +- Window (79)\n               +- Sort (78)\n                  +- Exchange (77)\n                     +- Project (76)\n                        +- BroadcastHashJoin LeftOuter BuildRight (75)\n                           :- Project (66)\n                           :  +- BroadcastHashJoin Inner BuildRight (65)\n                           :     :- Project (62)\n                           :     :  +- HashAggregate (61)\n                           :     :     +- Exchange (60)\n                           :     :        +- HashAggregate (59)\n                           :     :           +- HashAggregate (58)\n                           :     :              +- Exchange (57)\n                           :     :                 +- HashAggregate (56)\n                           :     :                    +- Project (55)\n                           :     :                       +- BroadcastHashJoin LeftOuter BuildRight (54)\n                           :     :                          :- Filter (51)\n                           :     :                          :  +- Scan parquet  (50)\n                           :     :                          +- BroadcastExchange (53)\n                           :     :                             +- Filter (52)\n                           :     :                                +- Scan parquet  (4)\n                           :     +- BroadcastExchange (64)\n                           :        +- Filter (63)\n                           :           +- Scan parquet  (21)\n                           +- BroadcastExchange (74)\n                              +- HashAggregate (73)\n                                 +- Exchange (72)\n                                    +- HashAggregate (71)\n                                       +- HashAggregate (70)\n                                          +- Exchange (69)\n                                             +- HashAggregate (68)\n                                                +- Filter (67)\n                                                   +- Scan parquet  (28)\n\n\n(1) Scan parquet \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) ColumnarToRow [codegen id : 4]\nInput [3]: [id#0L, course_id#1L, title#2]\n\n(3) Filter [codegen id : 4]\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(4) Scan parquet \nOutput [3]: [id#10L, user_id#11L, lesson_id#12L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(5) ColumnarToRow [codegen id : 1]\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\n\n(6) Filter [codegen id : 1]\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nCondition : isnotnull(lesson_id#12L)\n\n(7) BroadcastExchange\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=221]\n\n(8) BroadcastQueryStage\nOutput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: 0\n\n(9) BroadcastHashJoin [codegen id : 4]\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#12L]\nJoin type: LeftOuter\nJoin condition: None\n\n(10) Project [codegen id : 4]\nOutput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nInput [6]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L, lesson_id#12L]\n\n(11) HashAggregate [codegen id : 4]\nInput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [partial_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(12) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=434]\n\n(13) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: 3\n\n(14) AQEShuffleRead\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: coalesced\n\n(15) HashAggregate [codegen id : 6]\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [merge_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(16) HashAggregate [codegen id : 6]\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#10L), partial_count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\n\n(17) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=630]\n\n(18) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: 5\n\n(19) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#10L), count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#10L)#63L AS total_views#64L, count(user_id#11L)#66L AS unique_viewers#65L]\n\n(20) Project\nOutput [6]: [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#64L, unique_viewers#65L]\n\n(21) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(22) ColumnarToRow [codegen id : 2]\nInput [2]: [id#26L, title#27]\n\n(23) Filter [codegen id : 2]\nInput [2]: [id#26L, title#27]\nCondition : isnotnull(id#26L)\n\n(24) BroadcastExchange\nInput [2]: [id#26L, title#27]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=245]\n\n(25) BroadcastQueryStage\nOutput [2]: [id#26L, title#27]\nArguments: 1\n\n(26) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#26L]\nJoin type: Inner\nJoin condition: None\n\n(27) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]\nInput [8]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, id#26L, title#27]\n\n(28) Scan parquet \nOutput [2]: [user_id#19L, course_id#20L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(29) ColumnarToRow [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\n\n(30) Filter [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\nCondition : isnotnull(course_id#20L)\n\n(31) HashAggregate [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(32) Exchange\nInput [2]: [course_id#20L, user_id#19L]\nArguments: hashpartitioning(course_id#20L, user_id#19L, 200), ENSURE_REQUIREMENTS, [plan_id=264]\n\n(33) ShuffleQueryStage\nOutput [2]: [course_id#20L, user_id#19L]\nArguments: 2\n\n(34) AQEShuffleRead\nInput [2]: [course_id#20L, user_id#19L]\nArguments: coalesced\n\n(35) HashAggregate [codegen id : 5]\nInput [2]: [course_id#20L, user_id#19L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(36) HashAggregate [codegen id : 5]\nInput [2]: [course_id#20L, user_id#19L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [partial_count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count#171L]\n\n(37) Exchange\nInput [2]: [course_id#20L, count#171L]\nArguments: hashpartitioning(course_id#20L, 200), ENSURE_REQUIREMENTS, [plan_id=540]\n\n(38) ShuffleQueryStage\nOutput [2]: [course_id#20L, count#171L]\nArguments: 4\n\n(39) HashAggregate\nInput [2]: [course_id#20L, count#171L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count(user_id#19L)#92L AS enrolled_to_course#91L]\n\n(40) BroadcastExchange\nInput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=597]\n\n(41) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(42) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]\nInput [9]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27, course_id#20L, enrolled_to_course#91L]\n\n(43) Exchange\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=647]\n\n(44) Sort\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [total_views#64L DESC NULLS LAST], false, 0\n\n(45) Window\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]\n\n(46) Project\nOutput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146, popularity_rank#145]\n\n(47) Sort\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nArguments: [popularity_rank#145 ASC NULLS FIRST], true, 0\n\n(48) WriteFiles\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\n\n(49) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(50) Scan parquet \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(51) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(52) Filter\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nCondition : isnotnull(lesson_id#12L)\n\n(53) BroadcastExchange\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(54) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#12L]\nJoin type: LeftOuter\nJoin condition: None\n\n(55) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nInput [6]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L, lesson_id#12L]\n\n(56) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [partial_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(57) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(58) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [merge_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(59) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#10L), partial_count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\n\n(60) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(61) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#10L), count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#10L)#63L AS total_views#64L, count(user_id#11L)#66L AS unique_viewers#65L]\n\n(62) Project\nOutput [6]: [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#64L, unique_viewers#65L]\n\n(63) Filter\nInput [2]: [id#26L, title#27]\nCondition : isnotnull(id#26L)\n\n(64) BroadcastExchange\nInput [2]: [id#26L, title#27]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(65) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#26L]\nJoin type: Inner\nJoin condition: None\n\n(66) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]\nInput [8]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, id#26L, title#27]\n\n(67) Filter\nInput [2]: [user_id#19L, course_id#20L]\nCondition : isnotnull(course_id#20L)\n\n(68) HashAggregate\nInput [2]: [user_id#19L, course_id#20L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(69) Exchange\nInput [2]: [course_id#20L, user_id#19L]\nArguments: hashpartitioning(course_id#20L, user_id#19L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(70) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(71) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [partial_count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count#171L]\n\n(72) Exchange\nInput [2]: [course_id#20L, count#171L]\nArguments: hashpartitioning(course_id#20L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(73) HashAggregate\nInput [2]: [course_id#20L, count#171L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count(user_id#19L)#92L AS enrolled_to_course#91L]\n\n(74) BroadcastExchange\nInput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(75) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(76) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]\nInput [9]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27, course_id#20L, enrolled_to_course#91L]\n\n(77) Exchange\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=153]\n\n(78) Sort\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [total_views#64L DESC NULLS LAST], false, 0\n\n(79) Window\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]\n\n(80) Project\nOutput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146, popularity_rank#145]\n\n(81) Sort\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nArguments: [popularity_rank#145 ASC NULLS FIRST], true, 0\n\n(82) WriteFiles\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\n\n(83) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(84) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [popularity_rank#145 ASC NULLS FIRST], true, 0","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]","children":[{"nodeName":"Window","simpleString":"Window [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]","children":[{"nodeName":"Sort","simpleString":"Sort [total_views#64L DESC NULLS LAST], false, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=647]","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#1L], [course_id#20L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#1L], [id#26L], Inner, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L], functions=[count(id#10L), count(distinct user_id#11L)])","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 5","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=630]","children":[{"nodeName":"WholeStageCodegen (6)","simpleString":"WholeStageCodegen (6)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L], functions=[merge_count(id#10L), partial_count(distinct user_id#11L)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L, user_id#11L], functions=[merge_count(id#10L)])","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 3","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=434]","children":[{"nodeName":"WholeStageCodegen (4)","simpleString":"WholeStageCodegen (4)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, title#2, course_id#1L, user_id#11L], functions=[partial_count(id#10L)])","children":[{"nodeName":"Project","simpleString":"Project [id#0L, course_id#1L, title#2, id#10L, user_id#11L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#0L], [lesson_id#12L], LeftOuter, BuildRight, false","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#1L)","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [id#0L,course_id#1L,title#2] Batched: true, DataFilters: [isnotnull(course_id#1L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<id:bigint,course_id:bigint,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.parquet]","ReadSchema":"struct<id:bigint,course_id:bigint,title:string>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#1L)]"},"metrics":[{"name":"number of files read","accumulatorId":766,"metricType":"sum"},{"name":"scan time","accumulatorId":765,"metricType":"timing"},{"name":"metadata time","accumulatorId":767,"metricType":"timing"},{"name":"size of files read","accumulatorId":768,"metricType":"size"},{"name":"number of output rows","accumulatorId":764,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":762,"metricType":"sum"},{"name":"number of input batches","accumulatorId":763,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":761,"metricType":"sum"}]},{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 0","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=221]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(lesson_id#12L)","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [id#10L,user_id#11L,lesson_id#12L] Batched: true, DataFilters: [isnotnull(lesson_id#12L)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lesson_views.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id)], ReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lesson_views.parquet]","ReadSchema":"struct<id:bigint,user_id:bigint,lesson_id:bigint>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(lesson_id)]","DataFilters":"[isnotnull(lesson_id#12L)]"},"metrics":[{"name":"number of files read","accumulatorId":261,"metricType":"sum"},{"name":"scan time","accumulatorId":260,"metricType":"timing"},{"name":"metadata time","accumulatorId":262,"metricType":"timing"},{"name":"size of files read","accumulatorId":263,"metricType":"size"},{"name":"number of output rows","accumulatorId":259,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":461,"metricType":"sum"},{"name":"number of input batches","accumulatorId":462,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":460,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":459,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":458,"metricType":"timing"},{"name":"time to build","accumulatorId":457,"metricType":"timing"},{"name":"time to collect","accumulatorId":456,"metricType":"timing"},{"name":"number of output rows","accumulatorId":455,"metricType":"sum"},{"name":"data size","accumulatorId":454,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":760,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":756,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":757,"metricType":"timing"},{"name":"peak memory","accumulatorId":755,"metricType":"size"},{"name":"number of output rows","accumulatorId":754,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":759,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":758,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":753,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":751,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":745,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":752,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":746,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":743,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":740,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":749,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":742,"metricType":"sum"},{"name":"records read","accumulatorId":739,"metricType":"sum"},{"name":"local bytes read","accumulatorId":737,"metricType":"size"},{"name":"fetch wait time","accumulatorId":738,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":735,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":741,"metricType":"sum"},{"name":"local blocks read","accumulatorId":734,"metricType":"sum"},{"name":"remote merged chunks 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read","Value":"2677","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":524,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":525,"Name":"records read","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":857,"Name":"data size","Value":"120","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":876,"Name":"shuffle bytes written","Value":"315","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":877,"Name":"shuffle records written","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":878,"Name":"shuffle write time","Value":"4169236","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":879,"Name":"duration","Value":"36","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":880,"Name":"number of output rows","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":881,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":883,"Name":"time in aggregation build","Value":"15","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":886,"Name":"number of output rows","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":887,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":889,"Name":"time in aggregation build","Value":"8","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":895,"Name":"internal.metrics.executorDeserializeTime","Value":54,"Internal":true,"Count Failed Values":true},{"ID":896,"Name":"internal.metrics.executorDeserializeCpuTime","Value":29613737,"Internal":true,"Count Failed Values":true},{"ID":897,"Name":"internal.metrics.executorRunTime","Value":178,"Internal":true,"Count Failed Values":true},{"ID":898,"Name":"internal.metrics.executorCpuTime","Value":134699401,"Internal":true,"Count Failed Values":true},{"ID":899,"Name":"internal.metrics.resultSize","Value":6098,"Internal":true,"Count Failed Values":true},{"ID":900,"Name":"internal.metrics.jvmGCTime","Value":21,"Internal":true,"Count Failed Values":true},{"ID":904,"Name":"internal.metrics.peakExecutionMemory","Value":524288,"Internal":true,"Count Failed Values":true},{"ID":906,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":907,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":908,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":909,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":910,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":2677,"Internal":true,"Count Failed Values":true},{"ID":911,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":912,"Name":"internal.metrics.shuffle.read.recordsRead","Value":45,"Internal":true,"Count Failed Values":true},{"ID":913,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":914,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":915,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":916,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":917,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":918,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":919,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":920,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":921,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":922,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":923,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":315,"Internal":true,"Count Failed Values":true},{"ID":924,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":5,"Internal":true,"Count Failed Values":true},{"ID":925,"Name":"internal.metrics.shuffle.write.writeTime","Value":4169236,"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":1782979231157,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[1008,1],[1010,1],[1009,5617]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[974,200]]}
{"Event":"SparkListenerJobStart","Job ID":9,"Submission Time":1782979231204,"Stage Infos":[{"Stage ID":10,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":23,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"47\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[22],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":20,"Name":"FileScanRDD","Scope":"{\"id\":\"57\",\"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":22,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"48\",\"name\":\"WholeStageCodegen (4)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[21],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":21,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"57\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[20],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[],"Details":"org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:792)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0},{"Stage ID":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\":\"64\",\"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":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":27,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"69\",\"name\":\"AQEShuffleRead\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[23],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":28,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"65\",\"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":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[10],"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":[10,11],"Properties":{"spark.driver.port":"46853","spark.submit.pyFiles":"","spark.app.startTime":"1782979197143","spark.rdd.scope":"{\"id\":\"64\",\"name\":\"Exchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.app.submitTime":"1782979196098","spark.eventLog.dir":"file:/opt/spark-events","spark.sql.execution.id":"0","spark.sql.warehouse.dir":"file:/opt/airflow/spark-warehouse","spark.rdd.scope.noOverride":"true","spark.master":"spark://spark-master:7077","spark.hadoop.fs.s3a.secret.key":"*********(redacted)","spark.executor.id":"driver","spark.app.name":"dm_lesson_popularity_ranking","spark.hadoop.fs.s3a.access.key":"*********(redacted)","spark.submit.deployMode":"client","spark.hadoop.fs.s3a.path.style.access":"true","spark.driver.host":"73850a3d530b","spark.app.id":"app-20260702115958-0051","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":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\":\"64\",\"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":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":27,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"69\",\"name\":\"AQEShuffleRead\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[23],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":28,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"65\",\"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":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[10],"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":1782979231207,"Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0},"Properties":{"spark.driver.port":"46853","spark.submit.pyFiles":"","spark.app.startTime":"1782979197143","spark.rdd.scope":"{\"id\":\"64\",\"name\":\"Exchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.app.submitTime":"1782979196098","spark.eventLog.dir":"file:/opt/spark-events","spark.sql.execution.id":"0","spark.sql.warehouse.dir":"file:/opt/airflow/spark-warehouse","spark.rdd.scope.noOverride":"true","spark.master":"spark://spark-master:7077","spark.hadoop.fs.s3a.secret.key":"*********(redacted)","spark.executor.id":"driver","spark.app.name":"dm_lesson_popularity_ranking","spark.hadoop.fs.s3a.access.key":"*********(redacted)","spark.submit.deployMode":"client","spark.hadoop.fs.s3a.path.style.access":"true","spark.driver.host":"73850a3d530b","spark.app.id":"app-20260702115958-0051","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":11,"Stage Attempt ID":0,"Task Info":{"Task ID":9,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1782979231212,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":0,"Failed":false,"Killed":false,"Accumulables":[]}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (86)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (51)\n   +- WriteFiles (50)\n      +- Sort (49)\n         +- Project (48)\n            +- Window (47)\n               +- Sort (46)\n                  +- Exchange (45)\n                     +- Project (44)\n                        +- BroadcastHashJoin LeftOuter BuildRight (43)\n                           :- Project (27)\n                           :  +- BroadcastHashJoin Inner BuildRight (26)\n                           :     :- Project (20)\n                           :     :  +- HashAggregate (19)\n                           :     :     +- ShuffleQueryStage (18)\n                           :     :        +- Exchange (17)\n                           :     :           +- * HashAggregate (16)\n                           :     :              +- * HashAggregate (15)\n                           :     :                 +- AQEShuffleRead (14)\n                           :     :                    +- ShuffleQueryStage (13), Statistics(sizeInBytes=4.0 KiB, rowCount=58)\n                           :     :                       +- Exchange (12)\n                           :     :                          +- * HashAggregate (11)\n                           :     :                             +- * Project (10)\n                           :     :                                +- * BroadcastHashJoin LeftOuter BuildRight (9)\n                           :     :                                   :- * Filter (3)\n                           :     :                                   :  +- * ColumnarToRow (2)\n                           :     :                                   :     +- Scan parquet  (1)\n                           :     :                                   +- BroadcastQueryStage (8), Statistics(sizeInBytes=1024.1 KiB, rowCount=58)\n                           :     :                                      +- BroadcastExchange (7)\n                           :     :                                         +- * Filter (6)\n                           :     :                                            +- * ColumnarToRow (5)\n                           :     :                                               +- Scan parquet  (4)\n                           :     +- BroadcastQueryStage (25), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                           :        +- BroadcastExchange (24)\n                           :           +- * Filter (23)\n                           :              +- * ColumnarToRow (22)\n                           :                 +- Scan parquet  (21)\n                           +- BroadcastQueryStage (42)\n                              +- BroadcastExchange (41)\n                                 +- * HashAggregate (40)\n                                    +- AQEShuffleRead (39)\n                                       +- ShuffleQueryStage (38), Statistics(sizeInBytes=120.0 B, rowCount=5)\n                                          +- Exchange (37)\n                                             +- * HashAggregate (36)\n                                                +- * HashAggregate (35)\n                                                   +- AQEShuffleRead (34)\n                                                      +- ShuffleQueryStage (33), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                                                         +- Exchange (32)\n                                                            +- * HashAggregate (31)\n                                                               +- * Filter (30)\n                                                                  +- * ColumnarToRow (29)\n                                                                     +- Scan parquet  (28)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (85)\n   +- WriteFiles (84)\n      +- Sort (83)\n         +- Project (82)\n            +- Window (81)\n               +- Sort (80)\n                  +- Exchange (79)\n                     +- Project (78)\n                        +- BroadcastHashJoin LeftOuter BuildRight (77)\n                           :- Project (68)\n                           :  +- BroadcastHashJoin Inner BuildRight (67)\n                           :     :- Project (64)\n                           :     :  +- HashAggregate (63)\n                           :     :     +- Exchange (62)\n                           :     :        +- HashAggregate (61)\n                           :     :           +- HashAggregate (60)\n                           :     :              +- Exchange (59)\n                           :     :                 +- HashAggregate (58)\n                           :     :                    +- Project (57)\n                           :     :                       +- BroadcastHashJoin LeftOuter BuildRight (56)\n                           :     :                          :- Filter (53)\n                           :     :                          :  +- Scan parquet  (52)\n                           :     :                          +- BroadcastExchange (55)\n                           :     :                             +- Filter (54)\n                           :     :                                +- Scan parquet  (4)\n                           :     +- BroadcastExchange (66)\n                           :        +- Filter (65)\n                           :           +- Scan parquet  (21)\n                           +- BroadcastExchange (76)\n                              +- HashAggregate (75)\n                                 +- Exchange (74)\n                                    +- HashAggregate (73)\n                                       +- HashAggregate (72)\n                                          +- Exchange (71)\n                                             +- HashAggregate (70)\n                                                +- Filter (69)\n                                                   +- Scan parquet  (28)\n\n\n(1) Scan parquet \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) ColumnarToRow [codegen id : 4]\nInput [3]: [id#0L, course_id#1L, title#2]\n\n(3) Filter [codegen id : 4]\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(4) Scan parquet \nOutput [3]: [id#10L, user_id#11L, lesson_id#12L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(5) ColumnarToRow [codegen id : 1]\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\n\n(6) Filter [codegen id : 1]\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nCondition : isnotnull(lesson_id#12L)\n\n(7) BroadcastExchange\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=221]\n\n(8) BroadcastQueryStage\nOutput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: 0\n\n(9) BroadcastHashJoin [codegen id : 4]\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#12L]\nJoin type: LeftOuter\nJoin condition: None\n\n(10) Project [codegen id : 4]\nOutput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nInput [6]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L, lesson_id#12L]\n\n(11) HashAggregate [codegen id : 4]\nInput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [partial_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(12) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=434]\n\n(13) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: 3\n\n(14) AQEShuffleRead\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: coalesced\n\n(15) HashAggregate [codegen id : 6]\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [merge_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(16) HashAggregate [codegen id : 6]\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#10L), partial_count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\n\n(17) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=630]\n\n(18) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: 5\n\n(19) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#10L), count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#10L)#63L AS total_views#64L, count(user_id#11L)#66L AS unique_viewers#65L]\n\n(20) Project\nOutput [6]: [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#64L, unique_viewers#65L]\n\n(21) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(22) ColumnarToRow [codegen id : 2]\nInput [2]: [id#26L, title#27]\n\n(23) Filter [codegen id : 2]\nInput [2]: [id#26L, title#27]\nCondition : isnotnull(id#26L)\n\n(24) BroadcastExchange\nInput [2]: [id#26L, title#27]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=245]\n\n(25) BroadcastQueryStage\nOutput [2]: [id#26L, title#27]\nArguments: 1\n\n(26) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#26L]\nJoin type: Inner\nJoin condition: None\n\n(27) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]\nInput [8]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, id#26L, title#27]\n\n(28) Scan parquet \nOutput [2]: [user_id#19L, course_id#20L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(29) ColumnarToRow [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\n\n(30) Filter [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\nCondition : isnotnull(course_id#20L)\n\n(31) HashAggregate [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(32) Exchange\nInput [2]: [course_id#20L, user_id#19L]\nArguments: hashpartitioning(course_id#20L, user_id#19L, 200), ENSURE_REQUIREMENTS, [plan_id=264]\n\n(33) ShuffleQueryStage\nOutput [2]: [course_id#20L, user_id#19L]\nArguments: 2\n\n(34) AQEShuffleRead\nInput [2]: [course_id#20L, user_id#19L]\nArguments: coalesced\n\n(35) HashAggregate [codegen id : 5]\nInput [2]: [course_id#20L, user_id#19L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(36) HashAggregate [codegen id : 5]\nInput [2]: [course_id#20L, user_id#19L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [partial_count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count#171L]\n\n(37) Exchange\nInput [2]: [course_id#20L, count#171L]\nArguments: hashpartitioning(course_id#20L, 200), ENSURE_REQUIREMENTS, [plan_id=540]\n\n(38) ShuffleQueryStage\nOutput [2]: [course_id#20L, count#171L]\nArguments: 4\n\n(39) AQEShuffleRead\nInput [2]: [course_id#20L, count#171L]\nArguments: coalesced\n\n(40) HashAggregate [codegen id : 7]\nInput [2]: [course_id#20L, count#171L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count(user_id#19L)#92L AS enrolled_to_course#91L]\n\n(41) BroadcastExchange\nInput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=720]\n\n(42) BroadcastQueryStage\nOutput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: 6\n\n(43) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(44) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]\nInput [9]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27, course_id#20L, enrolled_to_course#91L]\n\n(45) Exchange\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=730]\n\n(46) Sort\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [total_views#64L DESC NULLS LAST], false, 0\n\n(47) Window\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]\n\n(48) Project\nOutput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146, popularity_rank#145]\n\n(49) Sort\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nArguments: [popularity_rank#145 ASC NULLS FIRST], true, 0\n\n(50) WriteFiles\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\n\n(51) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(52) Scan parquet \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(53) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(54) Filter\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nCondition : isnotnull(lesson_id#12L)\n\n(55) BroadcastExchange\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(56) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#12L]\nJoin type: LeftOuter\nJoin condition: None\n\n(57) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nInput [6]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L, lesson_id#12L]\n\n(58) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [partial_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(59) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(60) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [merge_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(61) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#10L), partial_count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\n\n(62) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(63) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#10L), count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#10L)#63L AS total_views#64L, count(user_id#11L)#66L AS unique_viewers#65L]\n\n(64) Project\nOutput [6]: [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#64L, unique_viewers#65L]\n\n(65) Filter\nInput [2]: [id#26L, title#27]\nCondition : isnotnull(id#26L)\n\n(66) BroadcastExchange\nInput [2]: [id#26L, title#27]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(67) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#26L]\nJoin type: Inner\nJoin condition: None\n\n(68) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]\nInput [8]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, id#26L, title#27]\n\n(69) Filter\nInput [2]: [user_id#19L, course_id#20L]\nCondition : isnotnull(course_id#20L)\n\n(70) HashAggregate\nInput [2]: [user_id#19L, course_id#20L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(71) Exchange\nInput [2]: [course_id#20L, user_id#19L]\nArguments: hashpartitioning(course_id#20L, user_id#19L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(72) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(73) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [partial_count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count#171L]\n\n(74) Exchange\nInput [2]: [course_id#20L, count#171L]\nArguments: hashpartitioning(course_id#20L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(75) HashAggregate\nInput [2]: [course_id#20L, count#171L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count(user_id#19L)#92L AS enrolled_to_course#91L]\n\n(76) BroadcastExchange\nInput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(77) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(78) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]\nInput [9]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27, course_id#20L, enrolled_to_course#91L]\n\n(79) Exchange\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=153]\n\n(80) Sort\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [total_views#64L DESC NULLS LAST], false, 0\n\n(81) Window\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]\n\n(82) Project\nOutput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146, popularity_rank#145]\n\n(83) Sort\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nArguments: [popularity_rank#145 ASC NULLS FIRST], true, 0\n\n(84) WriteFiles\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\n\n(85) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, 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{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[1092,2],[1091,10],[1090,144],[1089,5],[1088,1048616]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (88)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (53)\n   +- WriteFiles (52)\n      +- Sort (51)\n         +- Project (50)\n            +- Window (49)\n               +- Sort (48)\n                  +- ShuffleQueryStage (47)\n                     +- Exchange (46)\n                        +- * Project (45)\n                           +- * BroadcastHashJoin LeftOuter BuildRight (44)\n                              :- * Project (28)\n                              :  +- * BroadcastHashJoin Inner BuildRight (27)\n                              :     :- * Project (21)\n                              :     :  +- * HashAggregate (20)\n                              :     :     +- AQEShuffleRead (19)\n                              :     :        +- ShuffleQueryStage (18), Statistics(sizeInBytes=1360.0 B, rowCount=18)\n                              :     :           +- Exchange (17)\n                              :     :              +- * HashAggregate (16)\n                              :     :                 +- * HashAggregate (15)\n                              :     :                    +- AQEShuffleRead (14)\n                              :     :                       +- ShuffleQueryStage (13), Statistics(sizeInBytes=4.0 KiB, rowCount=58)\n                              :     :                          +- Exchange (12)\n                              :     :                             +- * HashAggregate (11)\n                              :     :                                +- * Project (10)\n                              :     :                                   +- * BroadcastHashJoin LeftOuter BuildRight (9)\n                              :     :                                      :- * Filter (3)\n                              :     :                                      :  +- * ColumnarToRow (2)\n                              :     :                                      :     +- Scan parquet  (1)\n                              :     :                                      +- BroadcastQueryStage (8), Statistics(sizeInBytes=1024.1 KiB, rowCount=58)\n                              :     :                                         +- BroadcastExchange (7)\n                              :     :                                            +- * Filter (6)\n                              :     :                                               +- * ColumnarToRow (5)\n                              :     :                                                  +- Scan parquet  (4)\n                              :     +- BroadcastQueryStage (26), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                              :        +- BroadcastExchange (25)\n                              :           +- * Filter (24)\n                              :              +- * ColumnarToRow (23)\n                              :                 +- Scan parquet  (22)\n                              +- BroadcastQueryStage (43), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                                 +- BroadcastExchange (42)\n                                    +- * HashAggregate (41)\n                                       +- AQEShuffleRead (40)\n                                          +- ShuffleQueryStage (39), Statistics(sizeInBytes=120.0 B, rowCount=5)\n                                             +- Exchange (38)\n                                                +- * HashAggregate (37)\n                                                   +- * HashAggregate (36)\n                                                      +- AQEShuffleRead (35)\n                                                         +- ShuffleQueryStage (34), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                                                            +- Exchange (33)\n                                                               +- * HashAggregate (32)\n                                                                  +- * Filter (31)\n                                                                     +- * ColumnarToRow (30)\n                                                                        +- Scan parquet  (29)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (87)\n   +- WriteFiles (86)\n      +- Sort (85)\n         +- Project (84)\n            +- Window (83)\n               +- Sort (82)\n                  +- Exchange (81)\n                     +- Project (80)\n                        +- BroadcastHashJoin LeftOuter BuildRight (79)\n                           :- Project (70)\n                           :  +- BroadcastHashJoin Inner BuildRight (69)\n                           :     :- Project (66)\n                           :     :  +- HashAggregate (65)\n                           :     :     +- Exchange (64)\n                           :     :        +- HashAggregate (63)\n                           :     :           +- HashAggregate (62)\n                           :     :              +- Exchange (61)\n                           :     :                 +- HashAggregate (60)\n                           :     :                    +- Project (59)\n                           :     :                       +- BroadcastHashJoin LeftOuter BuildRight (58)\n                           :     :                          :- Filter (55)\n                           :     :                          :  +- Scan parquet  (54)\n                           :     :                          +- BroadcastExchange (57)\n                           :     :                             +- Filter (56)\n                           :     :                                +- Scan parquet  (4)\n                           :     +- BroadcastExchange (68)\n                           :        +- Filter (67)\n                           :           +- Scan parquet  (22)\n                           +- BroadcastExchange (78)\n                              +- HashAggregate (77)\n                                 +- Exchange (76)\n                                    +- HashAggregate (75)\n                                       +- HashAggregate (74)\n                                          +- Exchange (73)\n                                             +- HashAggregate (72)\n                                                +- Filter (71)\n                                                   +- Scan parquet  (29)\n\n\n(1) Scan parquet \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) ColumnarToRow [codegen id : 4]\nInput [3]: [id#0L, course_id#1L, title#2]\n\n(3) Filter [codegen id : 4]\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(4) Scan parquet \nOutput [3]: [id#10L, user_id#11L, lesson_id#12L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(5) ColumnarToRow [codegen id : 1]\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\n\n(6) Filter [codegen id : 1]\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nCondition : isnotnull(lesson_id#12L)\n\n(7) BroadcastExchange\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=221]\n\n(8) BroadcastQueryStage\nOutput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: 0\n\n(9) BroadcastHashJoin [codegen id : 4]\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#12L]\nJoin type: LeftOuter\nJoin condition: None\n\n(10) Project [codegen id : 4]\nOutput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nInput [6]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L, lesson_id#12L]\n\n(11) HashAggregate [codegen id : 4]\nInput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [partial_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(12) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=434]\n\n(13) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: 3\n\n(14) AQEShuffleRead\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: coalesced\n\n(15) HashAggregate [codegen id : 6]\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [merge_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(16) HashAggregate [codegen id : 6]\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#10L), partial_count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\n\n(17) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=630]\n\n(18) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: 5\n\n(19) AQEShuffleRead\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: coalesced\n\n(20) HashAggregate [codegen id : 8]\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#10L), count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#10L)#63L AS total_views#64L, count(user_id#11L)#66L AS unique_viewers#65L]\n\n(21) Project [codegen id : 8]\nOutput [6]: [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#64L, unique_viewers#65L]\n\n(22) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(23) ColumnarToRow [codegen id : 2]\nInput [2]: [id#26L, title#27]\n\n(24) Filter [codegen id : 2]\nInput [2]: [id#26L, title#27]\nCondition : isnotnull(id#26L)\n\n(25) BroadcastExchange\nInput [2]: [id#26L, title#27]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=245]\n\n(26) BroadcastQueryStage\nOutput [2]: [id#26L, title#27]\nArguments: 1\n\n(27) BroadcastHashJoin [codegen id : 8]\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#26L]\nJoin type: Inner\nJoin condition: None\n\n(28) Project [codegen id : 8]\nOutput [7]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]\nInput [8]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, id#26L, title#27]\n\n(29) Scan parquet \nOutput [2]: [user_id#19L, course_id#20L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(30) ColumnarToRow [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\n\n(31) Filter [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\nCondition : isnotnull(course_id#20L)\n\n(32) HashAggregate [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(33) Exchange\nInput [2]: [course_id#20L, user_id#19L]\nArguments: hashpartitioning(course_id#20L, user_id#19L, 200), ENSURE_REQUIREMENTS, [plan_id=264]\n\n(34) ShuffleQueryStage\nOutput [2]: [course_id#20L, user_id#19L]\nArguments: 2\n\n(35) AQEShuffleRead\nInput [2]: [course_id#20L, user_id#19L]\nArguments: coalesced\n\n(36) HashAggregate [codegen id : 5]\nInput [2]: [course_id#20L, user_id#19L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(37) HashAggregate [codegen id : 5]\nInput [2]: [course_id#20L, user_id#19L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [partial_count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count#171L]\n\n(38) Exchange\nInput [2]: [course_id#20L, count#171L]\nArguments: hashpartitioning(course_id#20L, 200), ENSURE_REQUIREMENTS, [plan_id=540]\n\n(39) ShuffleQueryStage\nOutput [2]: [course_id#20L, count#171L]\nArguments: 4\n\n(40) AQEShuffleRead\nInput [2]: [course_id#20L, count#171L]\nArguments: coalesced\n\n(41) HashAggregate [codegen id : 7]\nInput [2]: [course_id#20L, count#171L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count(user_id#19L)#92L AS enrolled_to_course#91L]\n\n(42) BroadcastExchange\nInput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=720]\n\n(43) BroadcastQueryStage\nOutput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: 6\n\n(44) BroadcastHashJoin [codegen id : 8]\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(45) Project [codegen id : 8]\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]\nInput [9]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27, course_id#20L, enrolled_to_course#91L]\n\n(46) Exchange\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=850]\n\n(47) ShuffleQueryStage\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: 7\n\n(48) Sort\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [total_views#64L DESC NULLS LAST], false, 0\n\n(49) Window\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]\n\n(50) Project\nOutput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146, popularity_rank#145]\n\n(51) Sort\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nArguments: [popularity_rank#145 ASC NULLS FIRST], true, 0\n\n(52) WriteFiles\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\n\n(53) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(54) Scan parquet \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(55) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(56) Filter\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nCondition : isnotnull(lesson_id#12L)\n\n(57) BroadcastExchange\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(58) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#12L]\nJoin type: LeftOuter\nJoin condition: None\n\n(59) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nInput [6]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L, lesson_id#12L]\n\n(60) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [partial_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(61) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(62) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [merge_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(63) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#10L), partial_count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\n\n(64) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(65) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#10L), count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#10L)#63L AS total_views#64L, count(user_id#11L)#66L AS unique_viewers#65L]\n\n(66) Project\nOutput [6]: [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#64L, unique_viewers#65L]\n\n(67) Filter\nInput [2]: [id#26L, title#27]\nCondition : isnotnull(id#26L)\n\n(68) BroadcastExchange\nInput [2]: [id#26L, title#27]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(69) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#26L]\nJoin type: Inner\nJoin condition: None\n\n(70) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]\nInput [8]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, id#26L, title#27]\n\n(71) Filter\nInput [2]: [user_id#19L, course_id#20L]\nCondition : isnotnull(course_id#20L)\n\n(72) HashAggregate\nInput [2]: [user_id#19L, course_id#20L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(73) Exchange\nInput [2]: [course_id#20L, user_id#19L]\nArguments: hashpartitioning(course_id#20L, user_id#19L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(74) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(75) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [partial_count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count#171L]\n\n(76) Exchange\nInput [2]: [course_id#20L, count#171L]\nArguments: hashpartitioning(course_id#20L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(77) HashAggregate\nInput [2]: [course_id#20L, count#171L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count(user_id#19L)#92L AS enrolled_to_course#91L]\n\n(78) BroadcastExchange\nInput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(79) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(80) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]\nInput [9]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27, course_id#20L, enrolled_to_course#91L]\n\n(81) Exchange\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=153]\n\n(82) Sort\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [total_views#64L DESC NULLS LAST], false, 0\n\n(83) Window\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]\n\n(84) Project\nOutput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146, popularity_rank#145]\n\n(85) Sort\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nArguments: [popularity_rank#145 ASC NULLS FIRST], true, 0\n\n(86) WriteFiles\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\n\n(87) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(88) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute 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-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":17,"Stage Attempt ID":0,"Task Info":{"Task ID":11,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1782979231499,"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":17,"Stage Attempt ID":0,"Task Type":"ShuffleMapTask","Task End Reason":{"Reason":"Success"},"Task Info":{"Task ID":11,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1782979231499,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":1782979231602,"Failed":false,"Killed":false,"Accumulables":[{"ID":976,"Name":"local blocks read","Update":"1","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":979,"Name":"local bytes read","Update":"1689","Value":"1689","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":980,"Name":"fetch wait time","Update":"0","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":981,"Name":"records read","Update":"18","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1151,"Name":"data size","Update":"2312","Value":"2312","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1170,"Name":"shuffle bytes written","Update":"1195","Value":"1195","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1171,"Name":"shuffle records written","Update":"18","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1172,"Name":"shuffle write time","Update":"264435","Value":"264435","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1173,"Name":"duration","Update":"28","Value":"28","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1174,"Name":"number of output rows","Update":"18","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1175,"Name":"number of output rows","Update":"18","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1176,"Name":"number of output rows","Update":"18","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1177,"Name":"peak memory","Update":"4456432","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1179,"Name":"time in aggregation build","Update":"0","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1180,"Name":"avg hash probes per key","Update":"10","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1185,"Name":"internal.metrics.executorDeserializeTime","Update":41,"Value":41,"Internal":true,"Count Failed Values":true},{"ID":1186,"Name":"internal.metrics.executorDeserializeCpuTime","Update":35550387,"Value":35550387,"Internal":true,"Count Failed Values":true},{"ID":1187,"Name":"internal.metrics.executorRunTime","Update":53,"Value":53,"Internal":true,"Count Failed Values":true},{"ID":1188,"Name":"internal.metrics.executorCpuTime","Update":40388519,"Value":40388519,"Internal":true,"Count Failed Values":true},{"ID":1189,"Name":"internal.metrics.resultSize","Update":13974,"Value":13974,"Internal":true,"Count Failed Values":true},{"ID":1194,"Name":"internal.metrics.peakExecutionMemory","Update":4457016,"Value":4457016,"Internal":true,"Count Failed Values":true},{"ID":1196,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1197,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Update":1,"Value":1,"Internal":true,"Count Failed Values":true},{"ID":1198,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1199,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1200,"Name":"internal.metrics.shuffle.read.localBytesRead","Update":1689,"Value":1689,"Internal":true,"Count Failed Values":true},{"ID":1201,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1202,"Name":"internal.metrics.shuffle.read.recordsRead","Update":18,"Value":18,"Internal":true,"Count Failed Values":true},{"ID":1203,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1204,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1205,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1206,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1207,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1208,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1209,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1210,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1211,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1212,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":1213,"Name":"internal.metrics.shuffle.write.bytesWritten","Update":1195,"Value":1195,"Internal":true,"Count Failed Values":true},{"ID":1214,"Name":"internal.metrics.shuffle.write.recordsWritten","Update":18,"Value":18,"Internal":true,"Count Failed Values":true},{"ID":1215,"Name":"internal.metrics.shuffle.write.writeTime","Update":264435,"Value":264435,"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":41,"Executor Deserialize CPU Time":35550387,"Executor Run Time":53,"Executor CPU Time":40388519,"Peak Execution Memory":4457016,"Result Size":13974,"JVM GC Time":0,"Result Serialization Time":0,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":1,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":1689,"Total Records Read":18,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":1195,"Shuffle Write Time":264435,"Shuffle Records Written":18},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":17,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":35,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"85\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[34],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":34,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"86\",\"name\":\"WholeStageCodegen (8)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[33],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":33,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"102\",\"name\":\"AQEShuffleRead\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[29],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[16],"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":1782979231490,"Completion Time":1782979231603,"Accumulables":[{"ID":976,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":979,"Name":"local bytes read","Value":"1689","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":980,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":981,"Name":"records read","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1151,"Name":"data size","Value":"2312","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1170,"Name":"shuffle bytes written","Value":"1195","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1171,"Name":"shuffle records written","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1172,"Name":"shuffle write time","Value":"264435","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1173,"Name":"duration","Value":"28","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1174,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1175,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1176,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1177,"Name":"peak memory","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1179,"Name":"time in aggregation build","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1180,"Name":"avg hash probes per key","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":1185,"Name":"internal.metrics.executorDeserializeTime","Value":41,"Internal":true,"Count Failed Values":true},{"ID":1186,"Name":"internal.metrics.executorDeserializeCpuTime","Value":35550387,"Internal":true,"Count Failed Values":true},{"ID":1187,"Name":"internal.metrics.executorRunTime","Value":53,"Internal":true,"Count Failed Values":true},{"ID":1188,"Name":"internal.metrics.executorCpuTime","Value":40388519,"Internal":true,"Count Failed Values":true},{"ID":1189,"Name":"internal.metrics.resultSize","Value":13974,"Internal":true,"Count Failed Values":true},{"ID":1194,"Name":"internal.metrics.peakExecutionMemory","Value":4457016,"Internal":true,"Count Failed Values":true},{"ID":1196,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1197,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":1198,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1199,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1200,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":1689,"Internal":true,"Count Failed Values":true},{"ID":1201,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1202,"Name":"internal.metrics.shuffle.read.recordsRead","Value":18,"Internal":true,"Count Failed Values":true},{"ID":1203,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1204,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1205,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1206,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1207,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1208,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1209,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1210,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1211,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1212,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":1213,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":1195,"Internal":true,"Count Failed Values":true},{"ID":1214,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":18,"Internal":true,"Count Failed Values":true},{"ID":1215,"Name":"internal.metrics.shuffle.write.writeTime","Value":264435,"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":1782979231604,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (88)\n+- == Final Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (53)\n   +- WriteFiles (52)\n      +- * Sort (51)\n         +- * Project (50)\n            +- Window (49)\n               +- * Sort (48)\n                  +- ShuffleQueryStage (47), Statistics(sizeInBytes=2.3 KiB, rowCount=18)\n                     +- Exchange (46)\n                        +- * Project (45)\n                           +- * BroadcastHashJoin LeftOuter BuildRight (44)\n                              :- * Project (28)\n                              :  +- * BroadcastHashJoin Inner BuildRight (27)\n                              :     :- * Project (21)\n                              :     :  +- * HashAggregate (20)\n                              :     :     +- AQEShuffleRead (19)\n                              :     :        +- ShuffleQueryStage (18), Statistics(sizeInBytes=1360.0 B, rowCount=18)\n                              :     :           +- Exchange (17)\n                              :     :              +- * HashAggregate (16)\n                              :     :                 +- * HashAggregate (15)\n                              :     :                    +- AQEShuffleRead (14)\n                              :     :                       +- ShuffleQueryStage (13), Statistics(sizeInBytes=4.0 KiB, rowCount=58)\n                              :     :                          +- Exchange (12)\n                              :     :                             +- * HashAggregate (11)\n                              :     :                                +- * Project (10)\n                              :     :                                   +- * BroadcastHashJoin LeftOuter BuildRight (9)\n                              :     :                                      :- * Filter (3)\n                              :     :                                      :  +- * ColumnarToRow (2)\n                              :     :                                      :     +- Scan parquet  (1)\n                              :     :                                      +- BroadcastQueryStage (8), Statistics(sizeInBytes=1024.1 KiB, rowCount=58)\n                              :     :                                         +- BroadcastExchange (7)\n                              :     :                                            +- * Filter (6)\n                              :     :                                               +- * ColumnarToRow (5)\n                              :     :                                                  +- Scan parquet  (4)\n                              :     +- BroadcastQueryStage (26), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                              :        +- BroadcastExchange (25)\n                              :           +- * Filter (24)\n                              :              +- * ColumnarToRow (23)\n                              :                 +- Scan parquet  (22)\n                              +- BroadcastQueryStage (43), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                                 +- BroadcastExchange (42)\n                                    +- * HashAggregate (41)\n                                       +- AQEShuffleRead (40)\n                                          +- ShuffleQueryStage (39), Statistics(sizeInBytes=120.0 B, rowCount=5)\n                                             +- Exchange (38)\n                                                +- * HashAggregate (37)\n                                                   +- * HashAggregate (36)\n                                                      +- AQEShuffleRead (35)\n                                                         +- ShuffleQueryStage (34), Statistics(sizeInBytes=1080.0 B, rowCount=45)\n                                                            +- Exchange (33)\n                                                               +- * HashAggregate (32)\n                                                                  +- * Filter (31)\n                                                                     +- * ColumnarToRow (30)\n                                                                        +- Scan parquet  (29)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (87)\n   +- WriteFiles (86)\n      +- Sort (85)\n         +- Project (84)\n            +- Window (83)\n               +- Sort (82)\n                  +- Exchange (81)\n                     +- Project (80)\n                        +- BroadcastHashJoin LeftOuter BuildRight (79)\n                           :- Project (70)\n                           :  +- BroadcastHashJoin Inner BuildRight (69)\n                           :     :- Project (66)\n                           :     :  +- HashAggregate (65)\n                           :     :     +- Exchange (64)\n                           :     :        +- HashAggregate (63)\n                           :     :           +- HashAggregate (62)\n                           :     :              +- Exchange (61)\n                           :     :                 +- HashAggregate (60)\n                           :     :                    +- Project (59)\n                           :     :                       +- BroadcastHashJoin LeftOuter BuildRight (58)\n                           :     :                          :- Filter (55)\n                           :     :                          :  +- Scan parquet  (54)\n                           :     :                          +- BroadcastExchange (57)\n                           :     :                             +- Filter (56)\n                           :     :                                +- Scan parquet  (4)\n                           :     +- BroadcastExchange (68)\n                           :        +- Filter (67)\n                           :           +- Scan parquet  (22)\n                           +- BroadcastExchange (78)\n                              +- HashAggregate (77)\n                                 +- Exchange (76)\n                                    +- HashAggregate (75)\n                                       +- HashAggregate (74)\n                                          +- Exchange (73)\n                                             +- HashAggregate (72)\n                                                +- Filter (71)\n                                                   +- Scan parquet  (29)\n\n\n(1) Scan parquet \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(2) ColumnarToRow [codegen id : 4]\nInput [3]: [id#0L, course_id#1L, title#2]\n\n(3) Filter [codegen id : 4]\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(4) Scan parquet \nOutput [3]: [id#10L, user_id#11L, lesson_id#12L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<id:bigint,user_id:bigint,lesson_id:bigint>\n\n(5) ColumnarToRow [codegen id : 1]\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\n\n(6) Filter [codegen id : 1]\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nCondition : isnotnull(lesson_id#12L)\n\n(7) BroadcastExchange\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=221]\n\n(8) BroadcastQueryStage\nOutput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: 0\n\n(9) BroadcastHashJoin [codegen id : 4]\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#12L]\nJoin type: LeftOuter\nJoin condition: None\n\n(10) Project [codegen id : 4]\nOutput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nInput [6]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L, lesson_id#12L]\n\n(11) HashAggregate [codegen id : 4]\nInput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [partial_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(12) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=434]\n\n(13) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: 3\n\n(14) AQEShuffleRead\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: coalesced\n\n(15) HashAggregate [codegen id : 6]\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [merge_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(16) HashAggregate [codegen id : 6]\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#10L), partial_count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\n\n(17) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=630]\n\n(18) ShuffleQueryStage\nOutput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: 5\n\n(19) AQEShuffleRead\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: coalesced\n\n(20) HashAggregate [codegen id : 8]\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#10L), count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#10L)#63L AS total_views#64L, count(user_id#11L)#66L AS unique_viewers#65L]\n\n(21) Project [codegen id : 8]\nOutput [6]: [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#64L, unique_viewers#65L]\n\n(22) Scan parquet \nOutput [2]: [id#26L, title#27]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,title:string>\n\n(23) ColumnarToRow [codegen id : 2]\nInput [2]: [id#26L, title#27]\n\n(24) Filter [codegen id : 2]\nInput [2]: [id#26L, title#27]\nCondition : isnotnull(id#26L)\n\n(25) BroadcastExchange\nInput [2]: [id#26L, title#27]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=245]\n\n(26) BroadcastQueryStage\nOutput [2]: [id#26L, title#27]\nArguments: 1\n\n(27) BroadcastHashJoin [codegen id : 8]\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#26L]\nJoin type: Inner\nJoin condition: None\n\n(28) Project [codegen id : 8]\nOutput [7]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]\nInput [8]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, id#26L, title#27]\n\n(29) Scan parquet \nOutput [2]: [user_id#19L, course_id#20L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(30) ColumnarToRow [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\n\n(31) Filter [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\nCondition : isnotnull(course_id#20L)\n\n(32) HashAggregate [codegen id : 3]\nInput [2]: [user_id#19L, course_id#20L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(33) Exchange\nInput [2]: [course_id#20L, user_id#19L]\nArguments: hashpartitioning(course_id#20L, user_id#19L, 200), ENSURE_REQUIREMENTS, [plan_id=264]\n\n(34) ShuffleQueryStage\nOutput [2]: [course_id#20L, user_id#19L]\nArguments: 2\n\n(35) AQEShuffleRead\nInput [2]: [course_id#20L, user_id#19L]\nArguments: coalesced\n\n(36) HashAggregate [codegen id : 5]\nInput [2]: [course_id#20L, user_id#19L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(37) HashAggregate [codegen id : 5]\nInput [2]: [course_id#20L, user_id#19L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [partial_count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count#171L]\n\n(38) Exchange\nInput [2]: [course_id#20L, count#171L]\nArguments: hashpartitioning(course_id#20L, 200), ENSURE_REQUIREMENTS, [plan_id=540]\n\n(39) ShuffleQueryStage\nOutput [2]: [course_id#20L, count#171L]\nArguments: 4\n\n(40) AQEShuffleRead\nInput [2]: [course_id#20L, count#171L]\nArguments: coalesced\n\n(41) HashAggregate [codegen id : 7]\nInput [2]: [course_id#20L, count#171L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count(user_id#19L)#92L AS enrolled_to_course#91L]\n\n(42) BroadcastExchange\nInput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=720]\n\n(43) BroadcastQueryStage\nOutput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: 6\n\n(44) BroadcastHashJoin [codegen id : 8]\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(45) Project [codegen id : 8]\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]\nInput [9]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27, course_id#20L, enrolled_to_course#91L]\n\n(46) Exchange\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=850]\n\n(47) ShuffleQueryStage\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: 7\n\n(48) Sort [codegen id : 9]\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [total_views#64L DESC NULLS LAST], false, 0\n\n(49) Window\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]\n\n(50) Project [codegen id : 10]\nOutput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146, popularity_rank#145]\n\n(51) Sort [codegen id : 10]\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nArguments: [popularity_rank#145 ASC NULLS FIRST], true, 0\n\n(52) WriteFiles\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\n\n(53) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(54) Scan parquet \nOutput [3]: [id#0L, course_id#1L, title#2]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint,title:string>\n\n(55) Filter\nInput [3]: [id#0L, course_id#1L, title#2]\nCondition : isnotnull(course_id#1L)\n\n(56) Filter\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nCondition : isnotnull(lesson_id#12L)\n\n(57) BroadcastExchange\nInput [3]: [id#10L, user_id#11L, lesson_id#12L]\nArguments: HashedRelationBroadcastMode(List(input[2, bigint, false]),false), [plan_id=126]\n\n(58) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [lesson_id#12L]\nJoin type: LeftOuter\nJoin condition: None\n\n(59) Project\nOutput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nInput [6]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L, lesson_id#12L]\n\n(60) HashAggregate\nInput [5]: [id#0L, course_id#1L, title#2, id#10L, user_id#11L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [partial_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(61) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, user_id#11L, 200), ENSURE_REQUIREMENTS, [plan_id=131]\n\n(62) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [4]: [id#0L, title#2, course_id#1L, user_id#11L]\nFunctions [1]: [merge_count(id#10L)]\nAggregate Attributes [1]: [count(id#10L)#63L]\nResults [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\n\n(63) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, user_id#11L, count#164L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [merge_count(id#10L), partial_count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\n\n(64) Exchange\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nArguments: hashpartitioning(id#0L, title#2, course_id#1L, 200), ENSURE_REQUIREMENTS, [plan_id=135]\n\n(65) HashAggregate\nInput [5]: [id#0L, title#2, course_id#1L, count#164L, count#167L]\nKeys [3]: [id#0L, title#2, course_id#1L]\nFunctions [2]: [count(id#10L), count(distinct user_id#11L)]\nAggregate Attributes [2]: [count(id#10L)#63L, count(user_id#11L)#66L]\nResults [5]: [id#0L, title#2, course_id#1L, count(id#10L)#63L AS total_views#64L, count(user_id#11L)#66L AS unique_viewers#65L]\n\n(66) Project\nOutput [6]: [id#0L AS lesson_id#79L, title#2 AS lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, coalesce(round(((cast(total_views#64L as double) * 1.0) / CASE WHEN NOT (unique_viewers#65L = 0) THEN cast(unique_viewers#65L as double) END), 2), 0.0) AS avg_viewers_per_viewer#72]\nInput [5]: [id#0L, title#2, course_id#1L, total_views#64L, unique_viewers#65L]\n\n(67) Filter\nInput [2]: [id#26L, title#27]\nCondition : isnotnull(id#26L)\n\n(68) BroadcastExchange\nInput [2]: [id#26L, title#27]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=139]\n\n(69) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [id#26L]\nJoin type: Inner\nJoin condition: None\n\n(70) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27]\nInput [8]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, id#26L, title#27]\n\n(71) Filter\nInput [2]: [user_id#19L, course_id#20L]\nCondition : isnotnull(course_id#20L)\n\n(72) HashAggregate\nInput [2]: [user_id#19L, course_id#20L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(73) Exchange\nInput [2]: [course_id#20L, user_id#19L]\nArguments: hashpartitioning(course_id#20L, user_id#19L, 200), ENSURE_REQUIREMENTS, [plan_id=142]\n\n(74) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [2]: [course_id#20L, user_id#19L]\nFunctions: []\nAggregate Attributes: []\nResults [2]: [course_id#20L, user_id#19L]\n\n(75) HashAggregate\nInput [2]: [course_id#20L, user_id#19L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [partial_count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count#171L]\n\n(76) Exchange\nInput [2]: [course_id#20L, count#171L]\nArguments: hashpartitioning(course_id#20L, 200), ENSURE_REQUIREMENTS, [plan_id=146]\n\n(77) HashAggregate\nInput [2]: [course_id#20L, count#171L]\nKeys [1]: [course_id#20L]\nFunctions [1]: [count(distinct user_id#19L)]\nAggregate Attributes [1]: [count(user_id#19L)#92L]\nResults [2]: [course_id#20L, count(user_id#19L)#92L AS enrolled_to_course#91L]\n\n(78) BroadcastExchange\nInput [2]: [course_id#20L, enrolled_to_course#91L]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, true]),false), [plan_id=149]\n\n(79) BroadcastHashJoin\nLeft keys [1]: [course_id#1L]\nRight keys [1]: [course_id#20L]\nJoin type: LeftOuter\nJoin condition: None\n\n(80) Project\nOutput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27 AS course_title#143, coalesce(round(((cast(unique_viewers#65L as double) * 100.0) / CASE WHEN NOT (enrolled_to_course#91L = 0) THEN cast(enrolled_to_course#91L as double) END), 2), 0.0) AS completion_rate#146]\nInput [9]: [lesson_id#79L, lesson_title#80, course_id#1L, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, title#27, course_id#20L, enrolled_to_course#91L]\n\n(81) Exchange\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=153]\n\n(82) Sort\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [total_views#64L DESC NULLS LAST], false, 0\n\n(83) Window\nInput [7]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146]\nArguments: [row_number() windowspecdefinition(total_views#64L DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS popularity_rank#145], [total_views#64L DESC NULLS LAST]\n\n(84) Project\nOutput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, completion_rate#146, popularity_rank#145]\n\n(85) Sort\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\nArguments: [popularity_rank#145 ASC NULLS FIRST], true, 0\n\n(86) WriteFiles\nInput [8]: [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, completion_rate#146]\n\n(87) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]\n\n(88) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=true\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=true","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/lesson_popularity_ranking.parquet], Overwrite, [lesson_id, lesson_title, total_views, unique_viewers, avg_viewers_per_viewer, course_title, popularity_rank, completion_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"WholeStageCodegen (10)","simpleString":"WholeStageCodegen (10)","children":[{"nodeName":"Sort","simpleString":"Sort [popularity_rank#145 ASC NULLS FIRST], true, 0","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#79L, lesson_title#80, total_views#64L, unique_viewers#65L, avg_viewers_per_viewer#72, course_title#143, popularity_rank#145, 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{"Event":"SparkListenerJobEnd","Job ID":12,"Completion Time":1782979232358,"Job Result":{"Result":"JobSucceeded"}}
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{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionEnd","executionId":0,"time":1782979232469,"errorMessage":""}
{"Event":"SparkListenerApplicationEnd","Timestamp":1782979232472}