{"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":38523},"Maximum Memory":455501414,"Timestamp":1784546378140,"Maximum Onheap Memory":455501414,"Maximum Offheap Memory":0}
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{"Event":"SparkListenerApplicationStart","App Name":"dm_user_activity_summary","App ID":"app-20260720151938-0098","Timestamp":1784546376677,"User":"airflow"}
{"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 (30)\n+- Execute InsertIntoHadoopFsRelationCommand (29)\n   +- WriteFiles (28)\n      +- Sort (27)\n         +- Exchange (26)\n            +- Project (25)\n               +- HashAggregate (24)\n                  +- Exchange (23)\n                     +- HashAggregate (22)\n                        +- HashAggregate (21)\n                           +- Exchange (20)\n                              +- HashAggregate (19)\n                                 +- Expand (18)\n                                    +- Project (17)\n                                       +- BroadcastHashJoin LeftOuter BuildRight (16)\n                                          :- Project (12)\n                                          :  +- BroadcastHashJoin Inner BuildRight (11)\n                                          :     :- Project (7)\n                                          :     :  +- BroadcastHashJoin Inner BuildLeft (6)\n                                          :     :     :- BroadcastExchange (3)\n                                          :     :     :  +- Filter (2)\n                                          :     :     :     +- Scan csv  (1)\n                                          :     :     +- Filter (5)\n                                          :     :        +- Scan csv  (4)\n                                          :     +- BroadcastExchange (10)\n                                          :        +- Filter (9)\n                                          :           +- Scan csv  (8)\n                                          +- BroadcastExchange (15)\n                                             +- Filter (14)\n                                                +- Scan csv  (13)\n\n\n(1) Scan csv \nOutput [2]: [id#0L, name#1]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/users.csv]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,name:string>\n\n(2) Filter\nInput [2]: [id#0L, name#1]\nCondition : isnotnull(id#0L)\n\n(3) BroadcastExchange\nInput [2]: [id#0L, name#1]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=105]\n\n(4) Scan csv \nOutput [2]: [user_id#11L, course_id#12L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(user_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(5) Filter\nInput [2]: [user_id#11L, course_id#12L]\nCondition : (isnotnull(user_id#11L) AND isnotnull(course_id#12L))\n\n(6) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [user_id#11L]\nJoin type: Inner\nJoin condition: None\n\n(7) Project\nOutput [3]: [id#0L, name#1, course_id#12L]\nInput [4]: [id#0L, name#1, user_id#11L, course_id#12L]\n\n(8) Scan csv \nOutput [2]: [id#18L, course_id#19L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(9) Filter\nInput [2]: [id#18L, course_id#19L]\nCondition : isnotnull(course_id#19L)\n\n(10) BroadcastExchange\nInput [2]: [id#18L, course_id#19L]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [plan_id=109]\n\n(11) BroadcastHashJoin\nLeft keys [1]: [course_id#12L]\nRight keys [1]: [course_id#19L]\nJoin type: Inner\nJoin condition: None\n\n(12) Project\nOutput [4]: [id#0L, name#1, course_id#12L, id#18L]\nInput [5]: [id#0L, name#1, course_id#12L, id#18L, course_id#19L]\n\n(13) Scan csv \nOutput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id), IsNotNull(user_id)]\nReadSchema: struct<user_id:bigint,lesson_id:bigint,viewed_at:timestamp>\n\n(14) Filter\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nCondition : (isnotnull(lesson_id#28L) AND isnotnull(user_id#27L))\n\n(15) BroadcastExchange\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false], input[0, bigint, false]),false), [plan_id=113]\n\n(16) BroadcastHashJoin\nLeft keys [2]: [id#18L, id#0L]\nRight keys [2]: [lesson_id#28L, user_id#27L]\nJoin type: LeftOuter\nJoin condition: None\n\n(17) Project\nOutput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nInput [7]: [id#0L, name#1, course_id#12L, id#18L, user_id#27L, lesson_id#28L, viewed_at#29]\n\n(18) Expand\nInput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nArguments: [[id#0L, name#1, null, null, null, 0, viewed_at#29], [id#0L, name#1, course_id#12L, null, null, 1, null], [id#0L, name#1, null, lesson_id#28L, null, 2, null], [id#0L, name#1, null, null, id#18L, 3, null]], [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\n\n(19) HashAggregate\nInput [7]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [partial_max(lv.viewed_at#178), partial_min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max#197, min#198]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\n\n(20) Exchange\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: hashpartitioning(id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, 200), ENSURE_REQUIREMENTS, [plan_id=119]\n\n(21) HashAggregate\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [max(lv.viewed_at#178), min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max(lv.viewed_at#178)#136, min(lv.viewed_at#178)#138]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at#178)#136 AS max(lv.viewed_at)#179, min(lv.viewed_at#178)#138 AS min(lv.viewed_at)#181]\n\n(22) HashAggregate\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at)#179, min(lv.viewed_at)#181]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [partial_count(e.course_id#175L) FILTER (WHERE (gid#174 = 1)), partial_count(lv.lesson_id#176L) FILTER (WHERE (gid#174 = 2)), partial_first(max(lv.viewed_at)#179, true) FILTER (WHERE (gid#174 = 0)), partial_first(min(lv.viewed_at)#181, true) FILTER (WHERE (gid#174 = 0)), partial_count(l.id#177L) FILTER (WHERE (gid#174 = 3))]\nAggregate Attributes [7]: [count#183L, count#184L, first#185, valueSet#186, first#187, valueSet#188, count#189L]\nResults [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\n\n(23) Exchange\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nArguments: hashpartitioning(id#0L, name#1, 200), ENSURE_REQUIREMENTS, [plan_id=123]\n\n(24) HashAggregate\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [count(e.course_id#175L), count(lv.lesson_id#176L), first(max(lv.viewed_at)#179, true), first(min(lv.viewed_at)#181, true), count(l.id#177L)]\nAggregate Attributes [5]: [count(e.course_id#175L)#141L, count(lv.lesson_id#176L)#142L, first(max(lv.viewed_at)#179) ignore nulls#180, first(min(lv.viewed_at)#181) ignore nulls#182, count(l.id#177L)#143L]\nResults [7]: [id#0L AS user_id#116L, name#1, count(e.course_id#175L)#141L AS enrollment_count#134L, count(lv.lesson_id#176L)#142L AS viewed_lessons_count#135L, first(max(lv.viewed_at)#179) ignore nulls#180 AS last_view#137, first(min(lv.viewed_at)#181) ignore nulls#182 AS first_view#139, count(l.id#177L)#143L AS total_lessons#140L]\n\n(25) Project\nOutput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, CASE WHEN NOT (total_lessons#140L = 0) THEN round(((cast(viewed_lessons_count#135L as double) * 100.0) / cast(total_lessons#140L as double)), 2) ELSE 0.0 END AS engagement_rate#151]\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, total_lessons#140L]\n\n(26) Exchange\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=127]\n\n(27) Sort\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: [user_id#116L ASC NULLS FIRST], true, 0\n\n(28) WriteFiles\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\n\n(29) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]\n\n(30) 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/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [user_id#116L ASC NULLS FIRST], true, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=127]","children":[{"nodeName":"Project","simpleString":"Project [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, CASE WHEN NOT (total_lessons#140L = 0) THEN round(((cast(viewed_lessons_count#135L as double) * 100.0) / cast(total_lessons#140L as double)), 2) ELSE 0.0 END AS engagement_rate#151]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1], functions=[count(e.course_id#175L), count(lv.lesson_id#176L), first(max(lv.viewed_at)#179, true), first(min(lv.viewed_at)#181, true), count(l.id#177L)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, name#1, 200), ENSURE_REQUIREMENTS, [plan_id=123]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1], functions=[partial_count(e.course_id#175L) FILTER (WHERE (gid#174 = 1)), partial_count(lv.lesson_id#176L) FILTER (WHERE (gid#174 = 2)), partial_first(max(lv.viewed_at)#179, true) FILTER (WHERE (gid#174 = 0)), partial_first(min(lv.viewed_at)#181, true) FILTER (WHERE (gid#174 = 0)), partial_count(l.id#177L) FILTER (WHERE (gid#174 = 3))])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174], functions=[max(lv.viewed_at#178), min(lv.viewed_at#178)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, 200), ENSURE_REQUIREMENTS, [plan_id=119]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174], functions=[partial_max(lv.viewed_at#178), partial_min(lv.viewed_at#178)])","children":[{"nodeName":"Expand","simpleString":"Expand [[id#0L, name#1, null, null, null, 0, viewed_at#29], [id#0L, name#1, course_id#12L, null, null, 1, null], [id#0L, name#1, null, lesson_id#28L, null, 2, null], [id#0L, name#1, null, null, id#18L, 3, null]], [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]","children":[{"nodeName":"Project","simpleString":"Project [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#18L, id#0L], [lesson_id#28L, user_id#27L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#0L, name#1, course_id#12L, id#18L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#12L], [course_id#19L], Inner, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#0L, name#1, course_id#12L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#0L], [user_id#11L], Inner, BuildLeft, false","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=105]","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(id#0L)","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [id#0L,name#1] Batched: false, DataFilters: [isnotnull(id#0L)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/users.csv], PartitionFilters: [], PushedFilters: [IsNotNull(id)], ReadSchema: struct<id:bigint,name:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/users.csv]","ReadSchema":"struct<id:bigint,name:string>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(id)]","DataFilters":"[isnotnull(id#0L)]"},"metrics":[{"name":"number of output rows","accumulatorId":110,"metricType":"sum"},{"name":"number of files read","accumulatorId":111,"metricType":"sum"},{"name":"metadata time","accumulatorId":112,"metricType":"timing"},{"name":"size of files read","accumulatorId":113,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":109,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":108,"metricType":"timing"},{"name":"time to build","accumulatorId":107,"metricType":"timing"},{"name":"time to collect","accumulatorId":106,"metricType":"timing"},{"name":"number of output rows","accumulatorId":105,"metricType":"sum"},{"name":"data size","accumulatorId":104,"metricType":"size"}]},{"nodeName":"Filter","simpleString":"Filter (isnotnull(user_id#11L) AND isnotnull(course_id#12L))","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [user_id#11L,course_id#12L] Batched: false, DataFilters: [isnotnull(user_id#11L), isnotnull(course_id#12L)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/enrollments.csv], PartitionFilters: [], PushedFilters: [IsNotNull(user_id), IsNotNull(course_id)], ReadSchema: struct<user_id:bigint,course_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/enrollments.csv]","ReadSchema":"struct<user_id:bigint,course_id:bigint>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(user_id), IsNotNull(course_id)]","DataFilters":"[isnotnull(user_id#11L), isnotnull(course_id#12L)]"},"metrics":[{"name":"number of output rows","accumulatorId":115,"metricType":"sum"},{"name":"number of files read","accumulatorId":116,"metricType":"sum"},{"name":"metadata time","accumulatorId":117,"metricType":"timing"},{"name":"size of files read","accumulatorId":118,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":114,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":103,"metricType":"sum"}]}],"metadata":{},"metrics":[]},{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [plan_id=109]","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#19L)","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [id#18L,course_id#19L] Batched: false, DataFilters: [isnotnull(course_id#19L)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.csv], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<id:bigint,course_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.csv]","ReadSchema":"struct<id:bigint,course_id:bigint>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#19L)]"},"metrics":[{"name":"number of output rows","accumulatorId":125,"metricType":"sum"},{"name":"number of files read","accumulatorId":126,"metricType":"sum"},{"name":"metadata time","accumulatorId":127,"metricType":"timing"},{"name":"size of files read","accumulatorId":128,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":124,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":123,"metricType":"timing"},{"name":"time to build","accumulatorId":122,"metricType":"timing"},{"name":"time to collect","accumulatorId":121,"metricType":"timing"},{"name":"number of output rows","accumulatorId":120,"metricType":"sum"},{"name":"data size","accumulatorId":119,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":102,"metricType":"sum"}]}],"metadata":{},"metrics":[]},{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[1, bigint, false], input[0, bigint, false]),false), [plan_id=113]","children":[{"nodeName":"Filter","simpleString":"Filter (isnotnull(lesson_id#28L) AND isnotnull(user_id#27L))","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [user_id#27L,lesson_id#28L,viewed_at#29] Batched: false, DataFilters: [isnotnull(lesson_id#28L), isnotnull(user_id#27L)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lesson_views.csv], PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id), IsNotNull(user_id)], ReadSchema: struct<user_id:bigint,lesson_id:bigint,viewed_at:timestamp>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lesson_views.csv]","ReadSchema":"struct<user_id:bigint,lesson_id:bigint,viewed_at:timestamp>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(lesson_id), IsNotNull(user_id)]","DataFilters":"[isnotnull(lesson_id#28L), isnotnull(user_id#27L)]"},"metrics":[{"name":"number of output rows","accumulatorId":135,"metricType":"sum"},{"name":"number of files read","accumulatorId":136,"metricType":"sum"},{"name":"metadata time","accumulatorId":137,"metricType":"timing"},{"name":"size of files read","accumulatorId":138,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":134,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":133,"metricType":"timing"},{"name":"time to build","accumulatorId":132,"metricType":"timing"},{"name":"time to collect","accumulatorId":131,"metricType":"timing"},{"name":"number of output 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duration","accumulatorId":27,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":15,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":29,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":7,"metricType":"timing"},{"name":"peak memory","accumulatorId":8,"metricType":"size"},{"name":"spill size","accumulatorId":9,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"task commit time","accumulatorId":5,"metricType":"timing"},{"name":"number of written files","accumulatorId":1,"metricType":"sum"},{"name":"job commit time","accumulatorId":6,"metricType":"timing"},{"name":"number of output rows","accumulatorId":3,"metricType":"sum"},{"name":"number of dynamic part","accumulatorId":4,"metricType":"sum"},{"name":"written output","accumulatorId":2,"metricType":"size"}]}],"metadata":{},"metrics":[]},"time":1784546383592,"modifiedConfigs":{},"jobTags":[]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (57)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (32)\n   +- WriteFiles (31)\n      +- Sort (30)\n         +- Exchange (29)\n            +- Project (28)\n               +- HashAggregate (27)\n                  +- Exchange (26)\n                     +- HashAggregate (25)\n                        +- HashAggregate (24)\n                           +- Exchange (23)\n                              +- HashAggregate (22)\n                                 +- Expand (21)\n                                    +- Project (20)\n                                       +- BroadcastHashJoin LeftOuter BuildRight (19)\n                                          :- Project (14)\n                                          :  +- BroadcastHashJoin Inner BuildRight (13)\n                                          :     :- Project (8)\n                                          :     :  +- BroadcastHashJoin Inner BuildLeft (7)\n                                          :     :     :- BroadcastQueryStage (4)\n                                          :     :     :  +- BroadcastExchange (3)\n                                          :     :     :     +- * Filter (2)\n                                          :     :     :        +- Scan csv  (1)\n                                          :     :     +- Filter (6)\n                                          :     :        +- Scan csv  (5)\n                                          :     +- BroadcastQueryStage (12)\n                                          :        +- BroadcastExchange (11)\n                                          :           +- * Filter (10)\n                                          :              +- Scan csv  (9)\n                                          +- BroadcastQueryStage (18)\n                                             +- BroadcastExchange (17)\n                                                +- * Filter (16)\n                                                   +- Scan csv  (15)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (56)\n   +- WriteFiles (55)\n      +- Sort (54)\n         +- Exchange (53)\n            +- Project (52)\n               +- HashAggregate (51)\n                  +- Exchange (50)\n                     +- HashAggregate (49)\n                        +- HashAggregate (48)\n                           +- Exchange (47)\n                              +- HashAggregate (46)\n                                 +- Expand (45)\n                                    +- Project (44)\n                                       +- BroadcastHashJoin LeftOuter BuildRight (43)\n                                          :- Project (40)\n                                          :  +- BroadcastHashJoin Inner BuildRight (39)\n                                          :     :- Project (36)\n                                          :     :  +- BroadcastHashJoin Inner BuildLeft (35)\n                                          :     :     :- BroadcastExchange (34)\n                                          :     :     :  +- Filter (33)\n                                          :     :     :     +- Scan csv  (1)\n                                          :     :     +- Filter (6)\n                                          :     :        +- Scan csv  (5)\n                                          :     +- BroadcastExchange (38)\n                                          :        +- Filter (37)\n                                          :           +- Scan csv  (9)\n                                          +- BroadcastExchange (42)\n                                             +- Filter (41)\n                                                +- Scan csv  (15)\n\n\n(1) Scan csv \nOutput [2]: [id#0L, name#1]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/users.csv]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,name:string>\n\n(2) Filter [codegen id : 1]\nInput [2]: [id#0L, name#1]\nCondition : isnotnull(id#0L)\n\n(3) BroadcastExchange\nInput [2]: [id#0L, name#1]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=179]\n\n(4) BroadcastQueryStage\nOutput [2]: [id#0L, name#1]\nArguments: 0\n\n(5) Scan csv \nOutput [2]: [user_id#11L, course_id#12L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(user_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(6) Filter\nInput [2]: [user_id#11L, course_id#12L]\nCondition : (isnotnull(user_id#11L) AND isnotnull(course_id#12L))\n\n(7) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [user_id#11L]\nJoin type: Inner\nJoin condition: None\n\n(8) Project\nOutput [3]: [id#0L, name#1, course_id#12L]\nInput [4]: [id#0L, name#1, user_id#11L, course_id#12L]\n\n(9) Scan csv \nOutput [2]: [id#18L, course_id#19L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(10) Filter [codegen id : 2]\nInput [2]: [id#18L, course_id#19L]\nCondition : isnotnull(course_id#19L)\n\n(11) BroadcastExchange\nInput [2]: [id#18L, course_id#19L]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [plan_id=191]\n\n(12) BroadcastQueryStage\nOutput [2]: [id#18L, course_id#19L]\nArguments: 1\n\n(13) BroadcastHashJoin\nLeft keys [1]: [course_id#12L]\nRight keys [1]: [course_id#19L]\nJoin type: Inner\nJoin condition: None\n\n(14) Project\nOutput [4]: [id#0L, name#1, course_id#12L, id#18L]\nInput [5]: [id#0L, name#1, course_id#12L, id#18L, course_id#19L]\n\n(15) Scan csv \nOutput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id), IsNotNull(user_id)]\nReadSchema: struct<user_id:bigint,lesson_id:bigint,viewed_at:timestamp>\n\n(16) Filter [codegen id : 3]\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nCondition : (isnotnull(lesson_id#28L) AND isnotnull(user_id#27L))\n\n(17) BroadcastExchange\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false], input[0, bigint, false]),false), [plan_id=203]\n\n(18) BroadcastQueryStage\nOutput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nArguments: 2\n\n(19) BroadcastHashJoin\nLeft keys [2]: [id#18L, id#0L]\nRight keys [2]: [lesson_id#28L, user_id#27L]\nJoin type: LeftOuter\nJoin condition: None\n\n(20) Project\nOutput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nInput [7]: [id#0L, name#1, course_id#12L, id#18L, user_id#27L, lesson_id#28L, viewed_at#29]\n\n(21) Expand\nInput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nArguments: [[id#0L, name#1, null, null, null, 0, viewed_at#29], [id#0L, name#1, course_id#12L, null, null, 1, null], [id#0L, name#1, null, lesson_id#28L, null, 2, null], [id#0L, name#1, null, null, id#18L, 3, null]], [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\n\n(22) HashAggregate\nInput [7]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [partial_max(lv.viewed_at#178), partial_min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max#197, min#198]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\n\n(23) Exchange\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: hashpartitioning(id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, 200), ENSURE_REQUIREMENTS, [plan_id=214]\n\n(24) HashAggregate\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [max(lv.viewed_at#178), min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max(lv.viewed_at#178)#136, min(lv.viewed_at#178)#138]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at#178)#136 AS max(lv.viewed_at)#179, min(lv.viewed_at#178)#138 AS min(lv.viewed_at)#181]\n\n(25) HashAggregate\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at)#179, min(lv.viewed_at)#181]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [partial_count(e.course_id#175L) FILTER (WHERE (gid#174 = 1)), partial_count(lv.lesson_id#176L) FILTER (WHERE (gid#174 = 2)), partial_first(max(lv.viewed_at)#179, true) FILTER (WHERE (gid#174 = 0)), partial_first(min(lv.viewed_at)#181, true) FILTER (WHERE (gid#174 = 0)), partial_count(l.id#177L) FILTER (WHERE (gid#174 = 3))]\nAggregate Attributes [7]: [count#183L, count#184L, first#185, valueSet#186, first#187, valueSet#188, count#189L]\nResults [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\n\n(26) Exchange\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nArguments: hashpartitioning(id#0L, name#1, 200), ENSURE_REQUIREMENTS, [plan_id=217]\n\n(27) HashAggregate\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [count(e.course_id#175L), count(lv.lesson_id#176L), first(max(lv.viewed_at)#179, true), first(min(lv.viewed_at)#181, true), count(l.id#177L)]\nAggregate Attributes [5]: [count(e.course_id#175L)#141L, count(lv.lesson_id#176L)#142L, first(max(lv.viewed_at)#179) ignore nulls#180, first(min(lv.viewed_at)#181) ignore nulls#182, count(l.id#177L)#143L]\nResults [7]: [id#0L AS user_id#116L, name#1, count(e.course_id#175L)#141L AS enrollment_count#134L, count(lv.lesson_id#176L)#142L AS viewed_lessons_count#135L, first(max(lv.viewed_at)#179) ignore nulls#180 AS last_view#137, first(min(lv.viewed_at)#181) ignore nulls#182 AS first_view#139, count(l.id#177L)#143L AS total_lessons#140L]\n\n(28) Project\nOutput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, CASE WHEN NOT (total_lessons#140L = 0) THEN round(((cast(viewed_lessons_count#135L as double) * 100.0) / cast(total_lessons#140L as double)), 2) ELSE 0.0 END AS engagement_rate#151]\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, total_lessons#140L]\n\n(29) Exchange\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=220]\n\n(30) Sort\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: [user_id#116L ASC NULLS FIRST], true, 0\n\n(31) WriteFiles\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\n\n(32) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]\n\n(33) Filter\nInput [2]: [id#0L, name#1]\nCondition : isnotnull(id#0L)\n\n(34) BroadcastExchange\nInput [2]: [id#0L, name#1]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=105]\n\n(35) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [user_id#11L]\nJoin type: Inner\nJoin condition: None\n\n(36) Project\nOutput [3]: [id#0L, name#1, course_id#12L]\nInput [4]: [id#0L, name#1, user_id#11L, course_id#12L]\n\n(37) Filter\nInput [2]: [id#18L, course_id#19L]\nCondition : isnotnull(course_id#19L)\n\n(38) BroadcastExchange\nInput [2]: [id#18L, course_id#19L]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [plan_id=109]\n\n(39) BroadcastHashJoin\nLeft keys [1]: [course_id#12L]\nRight keys [1]: [course_id#19L]\nJoin type: Inner\nJoin condition: None\n\n(40) Project\nOutput [4]: [id#0L, name#1, course_id#12L, id#18L]\nInput [5]: [id#0L, name#1, course_id#12L, id#18L, course_id#19L]\n\n(41) Filter\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nCondition : (isnotnull(lesson_id#28L) AND isnotnull(user_id#27L))\n\n(42) BroadcastExchange\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false], input[0, bigint, false]),false), [plan_id=113]\n\n(43) BroadcastHashJoin\nLeft keys [2]: [id#18L, id#0L]\nRight keys [2]: [lesson_id#28L, user_id#27L]\nJoin type: LeftOuter\nJoin condition: None\n\n(44) Project\nOutput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nInput [7]: [id#0L, name#1, course_id#12L, id#18L, user_id#27L, lesson_id#28L, viewed_at#29]\n\n(45) Expand\nInput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nArguments: [[id#0L, name#1, null, null, null, 0, viewed_at#29], [id#0L, name#1, course_id#12L, null, null, 1, null], [id#0L, name#1, null, lesson_id#28L, null, 2, null], [id#0L, name#1, null, null, id#18L, 3, null]], [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\n\n(46) HashAggregate\nInput [7]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [partial_max(lv.viewed_at#178), partial_min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max#197, min#198]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\n\n(47) Exchange\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: hashpartitioning(id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, 200), ENSURE_REQUIREMENTS, [plan_id=119]\n\n(48) HashAggregate\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [max(lv.viewed_at#178), min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max(lv.viewed_at#178)#136, min(lv.viewed_at#178)#138]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at#178)#136 AS max(lv.viewed_at)#179, min(lv.viewed_at#178)#138 AS min(lv.viewed_at)#181]\n\n(49) HashAggregate\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at)#179, min(lv.viewed_at)#181]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [partial_count(e.course_id#175L) FILTER (WHERE (gid#174 = 1)), partial_count(lv.lesson_id#176L) FILTER (WHERE (gid#174 = 2)), partial_first(max(lv.viewed_at)#179, true) FILTER (WHERE (gid#174 = 0)), partial_first(min(lv.viewed_at)#181, true) FILTER (WHERE (gid#174 = 0)), partial_count(l.id#177L) FILTER (WHERE (gid#174 = 3))]\nAggregate Attributes [7]: [count#183L, count#184L, first#185, valueSet#186, first#187, valueSet#188, count#189L]\nResults [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\n\n(50) Exchange\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nArguments: hashpartitioning(id#0L, name#1, 200), ENSURE_REQUIREMENTS, [plan_id=123]\n\n(51) HashAggregate\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [count(e.course_id#175L), count(lv.lesson_id#176L), first(max(lv.viewed_at)#179, true), first(min(lv.viewed_at)#181, true), count(l.id#177L)]\nAggregate Attributes [5]: [count(e.course_id#175L)#141L, count(lv.lesson_id#176L)#142L, first(max(lv.viewed_at)#179) ignore nulls#180, first(min(lv.viewed_at)#181) ignore nulls#182, count(l.id#177L)#143L]\nResults [7]: [id#0L AS user_id#116L, name#1, count(e.course_id#175L)#141L AS enrollment_count#134L, count(lv.lesson_id#176L)#142L AS viewed_lessons_count#135L, first(max(lv.viewed_at)#179) ignore nulls#180 AS last_view#137, first(min(lv.viewed_at)#181) ignore nulls#182 AS first_view#139, count(l.id#177L)#143L AS total_lessons#140L]\n\n(52) Project\nOutput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, CASE WHEN NOT (total_lessons#140L = 0) THEN round(((cast(viewed_lessons_count#135L as double) * 100.0) / cast(total_lessons#140L as double)), 2) ELSE 0.0 END AS engagement_rate#151]\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, total_lessons#140L]\n\n(53) Exchange\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=127]\n\n(54) Sort\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: [user_id#116L ASC NULLS FIRST], true, 0\n\n(55) WriteFiles\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\n\n(56) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]\n\n(57) 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/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [user_id#116L ASC NULLS FIRST], true, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=220]","children":[{"nodeName":"Project","simpleString":"Project [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, CASE WHEN NOT (total_lessons#140L = 0) THEN round(((cast(viewed_lessons_count#135L as double) * 100.0) / cast(total_lessons#140L as double)), 2) ELSE 0.0 END AS engagement_rate#151]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1], functions=[count(e.course_id#175L), count(lv.lesson_id#176L), first(max(lv.viewed_at)#179, true), first(min(lv.viewed_at)#181, true), count(l.id#177L)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, name#1, 200), ENSURE_REQUIREMENTS, [plan_id=217]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1], functions=[partial_count(e.course_id#175L) FILTER (WHERE (gid#174 = 1)), partial_count(lv.lesson_id#176L) FILTER (WHERE (gid#174 = 2)), partial_first(max(lv.viewed_at)#179, true) FILTER (WHERE (gid#174 = 0)), partial_first(min(lv.viewed_at)#181, true) FILTER (WHERE (gid#174 = 0)), partial_count(l.id#177L) FILTER (WHERE (gid#174 = 3))])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174], functions=[max(lv.viewed_at#178), min(lv.viewed_at#178)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, 200), ENSURE_REQUIREMENTS, [plan_id=214]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174], functions=[partial_max(lv.viewed_at#178), partial_min(lv.viewed_at#178)])","children":[{"nodeName":"Expand","simpleString":"Expand [[id#0L, name#1, null, null, null, 0, viewed_at#29], [id#0L, name#1, course_id#12L, null, null, 1, null], [id#0L, name#1, null, lesson_id#28L, null, 2, null], [id#0L, name#1, null, null, id#18L, 3, null]], [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]","children":[{"nodeName":"Project","simpleString":"Project [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#18L, id#0L], [lesson_id#28L, user_id#27L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#0L, name#1, course_id#12L, id#18L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#12L], [course_id#19L], Inner, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#0L, name#1, course_id#12L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#0L], [user_id#11L], Inner, BuildLeft, false","children":[{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 0","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=179]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(id#0L)","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [id#0L,name#1] Batched: false, DataFilters: [isnotnull(id#0L)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/users.csv], PartitionFilters: [], PushedFilters: [IsNotNull(id)], ReadSchema: struct<id:bigint,name:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/users.csv]","ReadSchema":"struct<id:bigint,name:string>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(id)]","DataFilters":"[isnotnull(id#0L)]"},"metrics":[{"name":"number of output rows","accumulatorId":110,"metricType":"sum"},{"name":"number of files read","accumulatorId":111,"metricType":"sum"},{"name":"metadata time","accumulatorId":112,"metricType":"timing"},{"name":"size of files read","accumulatorId":113,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":242,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":241,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":240,"metricType":"timing"},{"name":"time to build","accumulatorId":239,"metricType":"timing"},{"name":"time to collect","accumulatorId":238,"metricType":"timing"},{"name":"number of output rows","accumulatorId":237,"metricType":"sum"},{"name":"data size","accumulatorId":236,"metricType":"size"}]}],"metadata":{},"metrics":[]},{"nodeName":"Filter","simpleString":"Filter (isnotnull(user_id#11L) AND isnotnull(course_id#12L))","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [user_id#11L,course_id#12L] Batched: false, DataFilters: [isnotnull(user_id#11L), isnotnull(course_id#12L)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/enrollments.csv], PartitionFilters: [], PushedFilters: [IsNotNull(user_id), IsNotNull(course_id)], ReadSchema: struct<user_id:bigint,course_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/enrollments.csv]","ReadSchema":"struct<user_id:bigint,course_id:bigint>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(user_id), IsNotNull(course_id)]","DataFilters":"[isnotnull(user_id#11L), isnotnull(course_id#12L)]"},"metrics":[{"name":"number of output rows","accumulatorId":115,"metricType":"sum"},{"name":"number of files read","accumulatorId":116,"metricType":"sum"},{"name":"metadata time","accumulatorId":117,"metricType":"timing"},{"name":"size of files read","accumulatorId":118,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":114,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":235,"metricType":"sum"}]}],"metadata":{},"metrics":[]},{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 1","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [plan_id=191]","children":[{"nodeName":"WholeStageCodegen (2)","simpleString":"WholeStageCodegen (2)","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#19L)","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [id#18L,course_id#19L] Batched: false, DataFilters: [isnotnull(course_id#19L)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.csv], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<id:bigint,course_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.csv]","ReadSchema":"struct<id:bigint,course_id:bigint>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#19L)]"},"metrics":[{"name":"number of output rows","accumulatorId":125,"metricType":"sum"},{"name":"number of files read","accumulatorId":126,"metricType":"sum"},{"name":"metadata time","accumulatorId":127,"metricType":"timing"},{"name":"size of files read","accumulatorId":128,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":249,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":248,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":247,"metricType":"timing"},{"name":"time to build","accumulatorId":246,"metricType":"timing"},{"name":"time to collect","accumulatorId":245,"metricType":"timing"},{"name":"number of output rows","accumulatorId":244,"metricType":"sum"},{"name":"data size","accumulatorId":243,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":234,"metricType":"sum"}]}],"metadata":{},"metrics":[]},{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 2","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[1, bigint, false], input[0, bigint, false]),false), [plan_id=203]","children":[{"nodeName":"WholeStageCodegen (3)","simpleString":"WholeStageCodegen (3)","children":[{"nodeName":"Filter","simpleString":"Filter (isnotnull(lesson_id#28L) AND isnotnull(user_id#27L))","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [user_id#27L,lesson_id#28L,viewed_at#29] Batched: false, DataFilters: [isnotnull(lesson_id#28L), isnotnull(user_id#27L)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lesson_views.csv], PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id), IsNotNull(user_id)], ReadSchema: struct<user_id:bigint,lesson_id:bigint,viewed_at:timestamp>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lesson_views.csv]","ReadSchema":"struct<user_id:bigint,lesson_id:bigint,viewed_at:timestamp>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(lesson_id), IsNotNull(user_id)]","DataFilters":"[isnotnull(lesson_id#28L), isnotnull(user_id#27L)]"},"metrics":[{"name":"number of output rows","accumulatorId":135,"metricType":"sum"},{"name":"number of files read","accumulatorId":136,"metricType":"sum"},{"name":"metadata time","accumulatorId":137,"metricType":"timing"},{"name":"size of files read","accumulatorId":138,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":256,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":255,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":254,"metricType":"timing"},{"name":"time to build","accumulatorId":253,"metricType":"timing"},{"name":"time to collect","accumulatorId":252,"metricType":"timing"},{"name":"number of output rows","accumulatorId":251,"metricType":"sum"},{"name":"data size","accumulatorId":250,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":233,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":232,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":228,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":229,"metricType":"timing"},{"name":"peak memory","accumulatorId":227,"metricType":"size"},{"name":"number of output rows","accumulatorId":226,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":231,"metricType":"sum"},{"name":"avg hash probes per 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{"Event":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":1,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":10,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"0\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[7],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":5,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"12\",\"name\":\"Scan csv \"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[1],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of 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{"Event":"SparkListenerExecutorAdded","Timestamp":1784546397480,"Executor ID":"0","Executor Info":{"Host":"172.28.0.49","Total Cores":5,"Log Urls":{"stdout":"http://172.28.0.49:8081/logPage/?appId=app-20260720151938-0098&executorId=0&logType=stdout","stderr":"http://172.28.0.49:8081/logPage/?appId=app-20260720151938-0098&executorId=0&logType=stderr"},"Attributes":{},"Resources":{},"Resource Profile Id":0,"Registration Time":1784546397479}}
{"Event":"SparkListenerBlockManagerAdded","Block Manager ID":{"Executor ID":"0","Host":"172.28.0.49","Port":35677},"Maximum Memory":455501414,"Timestamp":1784546397524,"Maximum Onheap Memory":455501414,"Maximum Offheap Memory":0}
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{"Event":"SparkListenerJobEnd","Job ID":0,"Completion Time":1784546399150,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[247,19],[246,25],[245,15427],[244,18],[243,1048616]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[240,21],[239,26],[238,15429],[237,20],[236,1048736]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[254,19],[253,27],[252,15423],[251,58],[250,2099184]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (60)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (33)\n   +- WriteFiles (32)\n      +- Sort (31)\n         +- Exchange (30)\n            +- Project (29)\n               +- HashAggregate (28)\n                  +- Exchange (27)\n                     +- HashAggregate (26)\n                        +- HashAggregate (25)\n                           +- ShuffleQueryStage (24)\n                              +- Exchange (23)\n                                 +- * HashAggregate (22)\n                                    +- * Expand (21)\n                                       +- * Project (20)\n                                          +- * BroadcastHashJoin LeftOuter BuildRight (19)\n                                             :- * Project (14)\n                                             :  +- * BroadcastHashJoin Inner BuildRight (13)\n                                             :     :- * Project (8)\n                                             :     :  +- * BroadcastHashJoin Inner BuildLeft (7)\n                                             :     :     :- BroadcastQueryStage (4), Statistics(sizeInBytes=1024.2 KiB, rowCount=20)\n                                             :     :     :  +- BroadcastExchange (3)\n                                             :     :     :     +- * Filter (2)\n                                             :     :     :        +- Scan csv  (1)\n                                             :     :     +- * Filter (6)\n                                             :     :        +- Scan csv  (5)\n                                             :     +- BroadcastQueryStage (12), Statistics(sizeInBytes=1024.0 KiB, rowCount=18)\n                                             :        +- BroadcastExchange (11)\n                                             :           +- * Filter (10)\n                                             :              +- Scan csv  (9)\n                                             +- BroadcastQueryStage (18), Statistics(sizeInBytes=2.0 MiB, rowCount=58)\n                                                +- BroadcastExchange (17)\n                                                   +- * Filter (16)\n                                                      +- Scan csv  (15)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (59)\n   +- WriteFiles (58)\n      +- Sort (57)\n         +- Exchange (56)\n            +- Project (55)\n               +- HashAggregate (54)\n                  +- Exchange (53)\n                     +- HashAggregate (52)\n                        +- HashAggregate (51)\n                           +- Exchange (50)\n                              +- HashAggregate (49)\n                                 +- Expand (48)\n                                    +- Project (47)\n                                       +- BroadcastHashJoin LeftOuter BuildRight (46)\n                                          :- Project (43)\n                                          :  +- BroadcastHashJoin Inner BuildRight (42)\n                                          :     :- Project (39)\n                                          :     :  +- BroadcastHashJoin Inner BuildLeft (38)\n                                          :     :     :- BroadcastExchange (35)\n                                          :     :     :  +- Filter (34)\n                                          :     :     :     +- Scan csv  (1)\n                                          :     :     +- Filter (37)\n                                          :     :        +- Scan csv  (36)\n                                          :     +- BroadcastExchange (41)\n                                          :        +- Filter (40)\n                                          :           +- Scan csv  (9)\n                                          +- BroadcastExchange (45)\n                                             +- Filter (44)\n                                                +- Scan csv  (15)\n\n\n(1) Scan csv \nOutput [2]: [id#0L, name#1]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/users.csv]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,name:string>\n\n(2) Filter [codegen id : 1]\nInput [2]: [id#0L, name#1]\nCondition : isnotnull(id#0L)\n\n(3) BroadcastExchange\nInput [2]: [id#0L, name#1]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=179]\n\n(4) BroadcastQueryStage\nOutput [2]: [id#0L, name#1]\nArguments: 0\n\n(5) Scan csv \nOutput [2]: [user_id#11L, course_id#12L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(user_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(6) Filter\nInput [2]: [user_id#11L, course_id#12L]\nCondition : (isnotnull(user_id#11L) AND isnotnull(course_id#12L))\n\n(7) BroadcastHashJoin [codegen id : 4]\nLeft keys [1]: [id#0L]\nRight keys [1]: [user_id#11L]\nJoin type: Inner\nJoin condition: None\n\n(8) Project [codegen id : 4]\nOutput [3]: [id#0L, name#1, course_id#12L]\nInput [4]: [id#0L, name#1, user_id#11L, course_id#12L]\n\n(9) Scan csv \nOutput [2]: [id#18L, course_id#19L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(10) Filter [codegen id : 2]\nInput [2]: [id#18L, course_id#19L]\nCondition : isnotnull(course_id#19L)\n\n(11) BroadcastExchange\nInput [2]: [id#18L, course_id#19L]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [plan_id=191]\n\n(12) BroadcastQueryStage\nOutput [2]: [id#18L, course_id#19L]\nArguments: 1\n\n(13) BroadcastHashJoin [codegen id : 4]\nLeft keys [1]: [course_id#12L]\nRight keys [1]: [course_id#19L]\nJoin type: Inner\nJoin condition: None\n\n(14) Project [codegen id : 4]\nOutput [4]: [id#0L, name#1, course_id#12L, id#18L]\nInput [5]: [id#0L, name#1, course_id#12L, id#18L, course_id#19L]\n\n(15) Scan csv \nOutput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id), IsNotNull(user_id)]\nReadSchema: struct<user_id:bigint,lesson_id:bigint,viewed_at:timestamp>\n\n(16) Filter [codegen id : 3]\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nCondition : (isnotnull(lesson_id#28L) AND isnotnull(user_id#27L))\n\n(17) BroadcastExchange\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false], input[0, bigint, false]),false), [plan_id=203]\n\n(18) BroadcastQueryStage\nOutput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nArguments: 2\n\n(19) BroadcastHashJoin [codegen id : 4]\nLeft keys [2]: [id#18L, id#0L]\nRight keys [2]: [lesson_id#28L, user_id#27L]\nJoin type: LeftOuter\nJoin condition: None\n\n(20) Project [codegen id : 4]\nOutput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nInput [7]: [id#0L, name#1, course_id#12L, id#18L, user_id#27L, lesson_id#28L, viewed_at#29]\n\n(21) Expand [codegen id : 4]\nInput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nArguments: [[id#0L, name#1, null, null, null, 0, viewed_at#29], [id#0L, name#1, course_id#12L, null, null, 1, null], [id#0L, name#1, null, lesson_id#28L, null, 2, null], [id#0L, name#1, null, null, id#18L, 3, null]], [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\n\n(22) HashAggregate [codegen id : 4]\nInput [7]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [partial_max(lv.viewed_at#178), partial_min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max#197, min#198]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\n\n(23) Exchange\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: hashpartitioning(id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, 200), ENSURE_REQUIREMENTS, [plan_id=431]\n\n(24) ShuffleQueryStage\nOutput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: 3\n\n(25) HashAggregate\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [max(lv.viewed_at#178), min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max(lv.viewed_at#178)#136, min(lv.viewed_at#178)#138]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at#178)#136 AS max(lv.viewed_at)#179, min(lv.viewed_at#178)#138 AS min(lv.viewed_at)#181]\n\n(26) HashAggregate\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at)#179, min(lv.viewed_at)#181]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [partial_count(e.course_id#175L) FILTER (WHERE (gid#174 = 1)), partial_count(lv.lesson_id#176L) FILTER (WHERE (gid#174 = 2)), partial_first(max(lv.viewed_at)#179, true) FILTER (WHERE (gid#174 = 0)), partial_first(min(lv.viewed_at)#181, true) FILTER (WHERE (gid#174 = 0)), partial_count(l.id#177L) FILTER (WHERE (gid#174 = 3))]\nAggregate Attributes [7]: [count#183L, count#184L, first#185, valueSet#186, first#187, valueSet#188, count#189L]\nResults [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\n\n(27) Exchange\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nArguments: hashpartitioning(id#0L, name#1, 200), ENSURE_REQUIREMENTS, [plan_id=460]\n\n(28) HashAggregate\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [count(e.course_id#175L), count(lv.lesson_id#176L), first(max(lv.viewed_at)#179, true), first(min(lv.viewed_at)#181, true), count(l.id#177L)]\nAggregate Attributes [5]: [count(e.course_id#175L)#141L, count(lv.lesson_id#176L)#142L, first(max(lv.viewed_at)#179) ignore nulls#180, first(min(lv.viewed_at)#181) ignore nulls#182, count(l.id#177L)#143L]\nResults [7]: [id#0L AS user_id#116L, name#1, count(e.course_id#175L)#141L AS enrollment_count#134L, count(lv.lesson_id#176L)#142L AS viewed_lessons_count#135L, first(max(lv.viewed_at)#179) ignore nulls#180 AS last_view#137, first(min(lv.viewed_at)#181) ignore nulls#182 AS first_view#139, count(l.id#177L)#143L AS total_lessons#140L]\n\n(29) Project\nOutput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, CASE WHEN NOT (total_lessons#140L = 0) THEN round(((cast(viewed_lessons_count#135L as double) * 100.0) / cast(total_lessons#140L as double)), 2) ELSE 0.0 END AS engagement_rate#151]\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, total_lessons#140L]\n\n(30) Exchange\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=463]\n\n(31) Sort\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: [user_id#116L ASC NULLS FIRST], true, 0\n\n(32) WriteFiles\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\n\n(33) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]\n\n(34) Filter\nInput [2]: [id#0L, name#1]\nCondition : isnotnull(id#0L)\n\n(35) BroadcastExchange\nInput [2]: [id#0L, name#1]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=105]\n\n(36) Scan csv \nOutput [2]: [user_id#11L, course_id#12L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(user_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(37) Filter\nInput [2]: [user_id#11L, course_id#12L]\nCondition : (isnotnull(user_id#11L) AND isnotnull(course_id#12L))\n\n(38) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [user_id#11L]\nJoin type: Inner\nJoin condition: None\n\n(39) Project\nOutput [3]: [id#0L, name#1, course_id#12L]\nInput [4]: [id#0L, name#1, user_id#11L, course_id#12L]\n\n(40) Filter\nInput [2]: [id#18L, course_id#19L]\nCondition : isnotnull(course_id#19L)\n\n(41) BroadcastExchange\nInput [2]: [id#18L, course_id#19L]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [plan_id=109]\n\n(42) BroadcastHashJoin\nLeft keys [1]: [course_id#12L]\nRight keys [1]: [course_id#19L]\nJoin type: Inner\nJoin condition: None\n\n(43) Project\nOutput [4]: [id#0L, name#1, course_id#12L, id#18L]\nInput [5]: [id#0L, name#1, course_id#12L, id#18L, course_id#19L]\n\n(44) Filter\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nCondition : (isnotnull(lesson_id#28L) AND isnotnull(user_id#27L))\n\n(45) BroadcastExchange\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false], input[0, bigint, false]),false), [plan_id=113]\n\n(46) BroadcastHashJoin\nLeft keys [2]: [id#18L, id#0L]\nRight keys [2]: [lesson_id#28L, user_id#27L]\nJoin type: LeftOuter\nJoin condition: None\n\n(47) Project\nOutput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nInput [7]: [id#0L, name#1, course_id#12L, id#18L, user_id#27L, lesson_id#28L, viewed_at#29]\n\n(48) Expand\nInput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nArguments: [[id#0L, name#1, null, null, null, 0, viewed_at#29], [id#0L, name#1, course_id#12L, null, null, 1, null], [id#0L, name#1, null, lesson_id#28L, null, 2, null], [id#0L, name#1, null, null, id#18L, 3, null]], [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\n\n(49) HashAggregate\nInput [7]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [partial_max(lv.viewed_at#178), partial_min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max#197, min#198]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\n\n(50) Exchange\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: hashpartitioning(id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, 200), ENSURE_REQUIREMENTS, [plan_id=119]\n\n(51) HashAggregate\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [max(lv.viewed_at#178), min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max(lv.viewed_at#178)#136, min(lv.viewed_at#178)#138]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at#178)#136 AS max(lv.viewed_at)#179, min(lv.viewed_at#178)#138 AS min(lv.viewed_at)#181]\n\n(52) HashAggregate\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at)#179, min(lv.viewed_at)#181]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [partial_count(e.course_id#175L) FILTER (WHERE (gid#174 = 1)), partial_count(lv.lesson_id#176L) FILTER (WHERE (gid#174 = 2)), partial_first(max(lv.viewed_at)#179, true) FILTER (WHERE (gid#174 = 0)), partial_first(min(lv.viewed_at)#181, true) FILTER (WHERE (gid#174 = 0)), partial_count(l.id#177L) FILTER (WHERE (gid#174 = 3))]\nAggregate Attributes [7]: [count#183L, count#184L, first#185, valueSet#186, first#187, valueSet#188, count#189L]\nResults [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\n\n(53) Exchange\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nArguments: hashpartitioning(id#0L, name#1, 200), ENSURE_REQUIREMENTS, [plan_id=123]\n\n(54) HashAggregate\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [count(e.course_id#175L), count(lv.lesson_id#176L), first(max(lv.viewed_at)#179, true), first(min(lv.viewed_at)#181, true), count(l.id#177L)]\nAggregate Attributes [5]: [count(e.course_id#175L)#141L, count(lv.lesson_id#176L)#142L, first(max(lv.viewed_at)#179) ignore nulls#180, first(min(lv.viewed_at)#181) ignore nulls#182, count(l.id#177L)#143L]\nResults [7]: [id#0L AS user_id#116L, name#1, count(e.course_id#175L)#141L AS enrollment_count#134L, count(lv.lesson_id#176L)#142L AS viewed_lessons_count#135L, first(max(lv.viewed_at)#179) ignore nulls#180 AS last_view#137, first(min(lv.viewed_at)#181) ignore nulls#182 AS first_view#139, count(l.id#177L)#143L AS total_lessons#140L]\n\n(55) Project\nOutput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, CASE WHEN NOT (total_lessons#140L = 0) THEN round(((cast(viewed_lessons_count#135L as double) * 100.0) / cast(total_lessons#140L as double)), 2) ELSE 0.0 END AS engagement_rate#151]\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, total_lessons#140L]\n\n(56) Exchange\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=127]\n\n(57) Sort\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: [user_id#116L ASC NULLS FIRST], true, 0\n\n(58) WriteFiles\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\n\n(59) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]\n\n(60) 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/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [user_id#116L ASC NULLS FIRST], true, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=463]","children":[{"nodeName":"Project","simpleString":"Project [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, CASE WHEN NOT (total_lessons#140L = 0) THEN round(((cast(viewed_lessons_count#135L as double) * 100.0) / cast(total_lessons#140L as double)), 2) ELSE 0.0 END AS engagement_rate#151]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1], functions=[count(e.course_id#175L), count(lv.lesson_id#176L), first(max(lv.viewed_at)#179, true), first(min(lv.viewed_at)#181, true), count(l.id#177L)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, 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IDs":[],"Details":"org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:792)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784546399447,"Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0},"Properties":{"spark.driver.port":"38791","spark.submit.pyFiles":"","spark.app.startTime":"1784546376677","spark.rdd.scope":"{\"id\":\"27\",\"name\":\"Exchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.hadoop.fs.s3a.impl":"org.apache.hadoop.fs.s3a.S3AFileSystem","spark.app.submitTime":"1784546375619","spark.eventLog.dir":"file:/opt/spark-events","spark.hadoop.fs.s3a.aws.credentials.provider":"org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider","spark.sql.execution.id":"0","spark.sql.warehouse.dir":"file:/opt/airflow/spark-warehouse","spark.rdd.scope.noOverride":"true","spark.master":"spark://spark-master:7077","spark.hadoop.fs.s3a.secret.key":"*********(redacted)","spark.executor.id":"driver","spark.app.name":"dm_user_activity_summary","spark.hadoop.fs.s3a.access.key":"*********(redacted)","spark.submit.deployMode":"client","spark.hadoop.fs.s3a.path.style.access":"true","spark.driver.host":"73850a3d530b","spark.app.id":"app-20260720151938-0098","spark.eventLog.compress":"true","spark.eventLog.enabled":"true","spark.executor.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false","spark.sql.execution.root.id":"0","spark.hadoop.fs.s3a.connection.ssl.enabled":"false","spark.serializer.objectStreamReset":"100","spark.driver.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}}
{"Event":"SparkListenerTaskStart","Stage ID":3,"Stage Attempt ID":0,"Task Info":{"Task ID":3,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1784546399470,"Executor ID":"0","Host":"172.28.0.49","Locality":"PROCESS_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":0,"Failed":false,"Killed":false,"Accumulables":[]}}
{"Event":"SparkListenerTaskEnd","Stage ID":3,"Stage Attempt ID":0,"Task Type":"ShuffleMapTask","Task End Reason":{"Reason":"Success"},"Task Info":{"Task ID":3,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1784546399470,"Executor ID":"0","Host":"172.28.0.49","Locality":"PROCESS_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":1784546399965,"Failed":false,"Killed":false,"Accumulables":[{"ID":433,"Name":"data size","Update":"24320","Value":"24320","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":452,"Name":"shuffle bytes written","Update":"18247","Value":"18247","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":453,"Name":"shuffle records written","Update":"304","Value":"304","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":454,"Name":"shuffle write time","Update":"23529202","Value":"23529202","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":455,"Name":"duration","Update":"206","Value":"206","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":456,"Name":"number of output rows","Update":"304","Value":"304","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":457,"Name":"peak memory","Update":"4456432","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":459,"Name":"time in aggregation build","Update":"55","Value":"55","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":460,"Name":"avg hash probes per key","Update":"10","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":462,"Name":"number of output rows","Update":"668","Value":"668","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":463,"Name":"number of output rows","Update":"167","Value":"167","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":464,"Name":"number of output rows","Update":"164","Value":"164","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":465,"Name":"number of output rows","Update":"45","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":466,"Name":"number of output rows","Update":"45","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":467,"Name":"number of output rows","Update":"45","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":471,"Name":"internal.metrics.executorDeserializeTime","Update":149,"Value":149,"Internal":true,"Count Failed Values":true},{"ID":472,"Name":"internal.metrics.executorDeserializeCpuTime","Update":118633279,"Value":118633279,"Internal":true,"Count Failed Values":true},{"ID":473,"Name":"internal.metrics.executorRunTime","Update":334,"Value":334,"Internal":true,"Count Failed Values":true},{"ID":474,"Name":"internal.metrics.executorCpuTime","Update":284852645,"Value":284852645,"Internal":true,"Count Failed Values":true},{"ID":475,"Name":"internal.metrics.resultSize","Update":4987,"Value":4987,"Internal":true,"Count Failed Values":true},{"ID":476,"Name":"internal.metrics.jvmGCTime","Update":13,"Value":13,"Internal":true,"Count Failed Values":true},{"ID":477,"Name":"internal.metrics.resultSerializationTime","Update":1,"Value":1,"Internal":true,"Count Failed Values":true},{"ID":480,"Name":"internal.metrics.peakExecutionMemory","Update":8654344,"Value":8654344,"Internal":true,"Count Failed Values":true},{"ID":499,"Name":"internal.metrics.shuffle.write.bytesWritten","Update":18247,"Value":18247,"Internal":true,"Count Failed Values":true},{"ID":500,"Name":"internal.metrics.shuffle.write.recordsWritten","Update":304,"Value":304,"Internal":true,"Count Failed Values":true},{"ID":501,"Name":"internal.metrics.shuffle.write.writeTime","Update":23529202,"Value":23529202,"Internal":true,"Count Failed Values":true},{"ID":502,"Name":"internal.metrics.input.bytesRead","Update":1442,"Value":1442,"Internal":true,"Count Failed Values":true},{"ID":503,"Name":"internal.metrics.input.recordsRead","Update":45,"Value":45,"Internal":true,"Count Failed Values":true}]},"Task Executor Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":149,"Executor Deserialize CPU Time":118633279,"Executor Run Time":334,"Executor CPU Time":284852645,"Peak Execution Memory":8654344,"Result Size":4987,"JVM GC Time":13,"Result Serialization Time":1,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":0,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":0,"Total Records Read":0,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":18247,"Shuffle Write Time":23529202,"Shuffle Records Written":304},"Input Metrics":{"Bytes Read":1442,"Records Read":45},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":3,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":15,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"27\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[14],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":14,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"28\",\"name\":\"WholeStageCodegen (4)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[13],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":12,"Name":"FileScanRDD","Scope":"{\"id\":\"45\",\"name\":\"Scan csv \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":13,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"45\",\"name\":\"Scan csv \"}","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}],"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":1784546399447,"Completion Time":1784546399966,"Accumulables":[{"ID":433,"Name":"data size","Value":"24320","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":452,"Name":"shuffle bytes written","Value":"18247","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":453,"Name":"shuffle records written","Value":"304","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":454,"Name":"shuffle write time","Value":"23529202","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":455,"Name":"duration","Value":"206","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":456,"Name":"number of output rows","Value":"304","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":457,"Name":"peak memory","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":459,"Name":"time in aggregation build","Value":"55","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":460,"Name":"avg hash probes per key","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":462,"Name":"number of output rows","Value":"668","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":463,"Name":"number of output rows","Value":"167","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":464,"Name":"number of output rows","Value":"164","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":465,"Name":"number of output rows","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":466,"Name":"number of output rows","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":467,"Name":"number of output rows","Value":"45","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":471,"Name":"internal.metrics.executorDeserializeTime","Value":149,"Internal":true,"Count Failed Values":true},{"ID":472,"Name":"internal.metrics.executorDeserializeCpuTime","Value":118633279,"Internal":true,"Count Failed Values":true},{"ID":473,"Name":"internal.metrics.executorRunTime","Value":334,"Internal":true,"Count Failed Values":true},{"ID":474,"Name":"internal.metrics.executorCpuTime","Value":284852645,"Internal":true,"Count Failed Values":true},{"ID":475,"Name":"internal.metrics.resultSize","Value":4987,"Internal":true,"Count Failed Values":true},{"ID":476,"Name":"internal.metrics.jvmGCTime","Value":13,"Internal":true,"Count Failed Values":true},{"ID":477,"Name":"internal.metrics.resultSerializationTime","Value":1,"Internal":true,"Count Failed Values":true},{"ID":480,"Name":"internal.metrics.peakExecutionMemory","Value":8654344,"Internal":true,"Count Failed Values":true},{"ID":499,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":18247,"Internal":true,"Count Failed Values":true},{"ID":500,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":304,"Internal":true,"Count Failed Values":true},{"ID":501,"Name":"internal.metrics.shuffle.write.writeTime","Value":23529202,"Internal":true,"Count Failed Values":true},{"ID":502,"Name":"internal.metrics.input.bytesRead","Value":1442,"Internal":true,"Count Failed Values":true},{"ID":503,"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":3,"Completion Time":1784546399969,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (62)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (35)\n   +- WriteFiles (34)\n      +- Sort (33)\n         +- Exchange (32)\n            +- Project (31)\n               +- HashAggregate (30)\n                  +- ShuffleQueryStage (29)\n                     +- Exchange (28)\n                        +- * HashAggregate (27)\n                           +- * HashAggregate (26)\n                              +- AQEShuffleRead (25)\n                                 +- ShuffleQueryStage (24), Statistics(sizeInBytes=23.8 KiB, rowCount=304)\n                                    +- Exchange (23)\n                                       +- * HashAggregate (22)\n                                          +- * Expand (21)\n                                             +- * Project (20)\n                                                +- * BroadcastHashJoin LeftOuter BuildRight (19)\n                                                   :- * Project (14)\n                                                   :  +- * BroadcastHashJoin Inner BuildRight (13)\n                                                   :     :- * Project (8)\n                                                   :     :  +- * BroadcastHashJoin Inner BuildLeft (7)\n                                                   :     :     :- BroadcastQueryStage (4), Statistics(sizeInBytes=1024.2 KiB, rowCount=20)\n                                                   :     :     :  +- BroadcastExchange (3)\n                                                   :     :     :     +- * Filter (2)\n                                                   :     :     :        +- Scan csv  (1)\n                                                   :     :     +- * Filter (6)\n                                                   :     :        +- Scan csv  (5)\n                                                   :     +- BroadcastQueryStage (12), Statistics(sizeInBytes=1024.0 KiB, rowCount=18)\n                                                   :        +- BroadcastExchange (11)\n                                                   :           +- * Filter (10)\n                                                   :              +- Scan csv  (9)\n                                                   +- BroadcastQueryStage (18), Statistics(sizeInBytes=2.0 MiB, rowCount=58)\n                                                      +- BroadcastExchange (17)\n                                                         +- * Filter (16)\n                                                            +- Scan csv  (15)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (61)\n   +- WriteFiles (60)\n      +- Sort (59)\n         +- Exchange (58)\n            +- Project (57)\n               +- HashAggregate (56)\n                  +- Exchange (55)\n                     +- HashAggregate (54)\n                        +- HashAggregate (53)\n                           +- Exchange (52)\n                              +- HashAggregate (51)\n                                 +- Expand (50)\n                                    +- Project (49)\n                                       +- BroadcastHashJoin LeftOuter BuildRight (48)\n                                          :- Project (45)\n                                          :  +- BroadcastHashJoin Inner BuildRight (44)\n                                          :     :- Project (41)\n                                          :     :  +- BroadcastHashJoin Inner BuildLeft (40)\n                                          :     :     :- BroadcastExchange (37)\n                                          :     :     :  +- Filter (36)\n                                          :     :     :     +- Scan csv  (1)\n                                          :     :     +- Filter (39)\n                                          :     :        +- Scan csv  (38)\n                                          :     +- BroadcastExchange (43)\n                                          :        +- Filter (42)\n                                          :           +- Scan csv  (9)\n                                          +- BroadcastExchange (47)\n                                             +- Filter (46)\n                                                +- Scan csv  (15)\n\n\n(1) Scan csv \nOutput [2]: [id#0L, name#1]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/users.csv]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,name:string>\n\n(2) Filter [codegen id : 1]\nInput [2]: [id#0L, name#1]\nCondition : isnotnull(id#0L)\n\n(3) BroadcastExchange\nInput [2]: [id#0L, name#1]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=179]\n\n(4) BroadcastQueryStage\nOutput [2]: [id#0L, name#1]\nArguments: 0\n\n(5) Scan csv \nOutput [2]: [user_id#11L, course_id#12L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(user_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(6) Filter\nInput [2]: [user_id#11L, course_id#12L]\nCondition : (isnotnull(user_id#11L) AND isnotnull(course_id#12L))\n\n(7) BroadcastHashJoin [codegen id : 4]\nLeft keys [1]: [id#0L]\nRight keys [1]: [user_id#11L]\nJoin type: Inner\nJoin condition: None\n\n(8) Project [codegen id : 4]\nOutput [3]: [id#0L, name#1, course_id#12L]\nInput [4]: [id#0L, name#1, user_id#11L, course_id#12L]\n\n(9) Scan csv \nOutput [2]: [id#18L, course_id#19L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(10) Filter [codegen id : 2]\nInput [2]: [id#18L, course_id#19L]\nCondition : isnotnull(course_id#19L)\n\n(11) BroadcastExchange\nInput [2]: [id#18L, course_id#19L]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [plan_id=191]\n\n(12) BroadcastQueryStage\nOutput [2]: [id#18L, course_id#19L]\nArguments: 1\n\n(13) BroadcastHashJoin [codegen id : 4]\nLeft keys [1]: [course_id#12L]\nRight keys [1]: [course_id#19L]\nJoin type: Inner\nJoin condition: None\n\n(14) Project [codegen id : 4]\nOutput [4]: [id#0L, name#1, course_id#12L, id#18L]\nInput [5]: [id#0L, name#1, course_id#12L, id#18L, course_id#19L]\n\n(15) Scan csv \nOutput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id), IsNotNull(user_id)]\nReadSchema: struct<user_id:bigint,lesson_id:bigint,viewed_at:timestamp>\n\n(16) Filter [codegen id : 3]\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nCondition : (isnotnull(lesson_id#28L) AND isnotnull(user_id#27L))\n\n(17) BroadcastExchange\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false], input[0, bigint, false]),false), [plan_id=203]\n\n(18) BroadcastQueryStage\nOutput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nArguments: 2\n\n(19) BroadcastHashJoin [codegen id : 4]\nLeft keys [2]: [id#18L, id#0L]\nRight keys [2]: [lesson_id#28L, user_id#27L]\nJoin type: LeftOuter\nJoin condition: None\n\n(20) Project [codegen id : 4]\nOutput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nInput [7]: [id#0L, name#1, course_id#12L, id#18L, user_id#27L, lesson_id#28L, viewed_at#29]\n\n(21) Expand [codegen id : 4]\nInput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nArguments: [[id#0L, name#1, null, null, null, 0, viewed_at#29], [id#0L, name#1, course_id#12L, null, null, 1, null], [id#0L, name#1, null, lesson_id#28L, null, 2, null], [id#0L, name#1, null, null, id#18L, 3, null]], [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\n\n(22) HashAggregate [codegen id : 4]\nInput [7]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [partial_max(lv.viewed_at#178), partial_min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max#197, min#198]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\n\n(23) Exchange\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: hashpartitioning(id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, 200), ENSURE_REQUIREMENTS, [plan_id=431]\n\n(24) ShuffleQueryStage\nOutput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: 3\n\n(25) AQEShuffleRead\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: coalesced\n\n(26) HashAggregate [codegen id : 5]\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [max(lv.viewed_at#178), min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max(lv.viewed_at#178)#136, min(lv.viewed_at#178)#138]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at#178)#136 AS max(lv.viewed_at)#179, min(lv.viewed_at#178)#138 AS min(lv.viewed_at)#181]\n\n(27) HashAggregate [codegen id : 5]\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at)#179, min(lv.viewed_at)#181]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [partial_count(e.course_id#175L) FILTER (WHERE (gid#174 = 1)), partial_count(lv.lesson_id#176L) FILTER (WHERE (gid#174 = 2)), partial_first(max(lv.viewed_at)#179, true) FILTER (WHERE (gid#174 = 0)), partial_first(min(lv.viewed_at)#181, true) FILTER (WHERE (gid#174 = 0)), partial_count(l.id#177L) FILTER (WHERE (gid#174 = 3))]\nAggregate Attributes [7]: [count#183L, count#184L, first#185, valueSet#186, first#187, valueSet#188, count#189L]\nResults [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\n\n(28) Exchange\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nArguments: hashpartitioning(id#0L, name#1, 200), ENSURE_REQUIREMENTS, [plan_id=513]\n\n(29) ShuffleQueryStage\nOutput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nArguments: 4\n\n(30) HashAggregate\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [count(e.course_id#175L), count(lv.lesson_id#176L), first(max(lv.viewed_at)#179, true), first(min(lv.viewed_at)#181, true), count(l.id#177L)]\nAggregate Attributes [5]: [count(e.course_id#175L)#141L, count(lv.lesson_id#176L)#142L, first(max(lv.viewed_at)#179) ignore nulls#180, first(min(lv.viewed_at)#181) ignore nulls#182, count(l.id#177L)#143L]\nResults [7]: [id#0L AS user_id#116L, name#1, count(e.course_id#175L)#141L AS enrollment_count#134L, count(lv.lesson_id#176L)#142L AS viewed_lessons_count#135L, first(max(lv.viewed_at)#179) ignore nulls#180 AS last_view#137, first(min(lv.viewed_at)#181) ignore nulls#182 AS first_view#139, count(l.id#177L)#143L AS total_lessons#140L]\n\n(31) Project\nOutput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, CASE WHEN NOT (total_lessons#140L = 0) THEN round(((cast(viewed_lessons_count#135L as double) * 100.0) / cast(total_lessons#140L as double)), 2) ELSE 0.0 END AS engagement_rate#151]\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, total_lessons#140L]\n\n(32) Exchange\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=526]\n\n(33) Sort\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: [user_id#116L ASC NULLS FIRST], true, 0\n\n(34) WriteFiles\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\n\n(35) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]\n\n(36) Filter\nInput [2]: [id#0L, name#1]\nCondition : isnotnull(id#0L)\n\n(37) BroadcastExchange\nInput [2]: [id#0L, name#1]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=105]\n\n(38) Scan csv \nOutput [2]: [user_id#11L, course_id#12L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(user_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(39) Filter\nInput [2]: [user_id#11L, course_id#12L]\nCondition : (isnotnull(user_id#11L) AND isnotnull(course_id#12L))\n\n(40) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [user_id#11L]\nJoin type: Inner\nJoin condition: None\n\n(41) Project\nOutput [3]: [id#0L, name#1, course_id#12L]\nInput [4]: [id#0L, name#1, user_id#11L, course_id#12L]\n\n(42) Filter\nInput [2]: [id#18L, course_id#19L]\nCondition : isnotnull(course_id#19L)\n\n(43) BroadcastExchange\nInput [2]: [id#18L, course_id#19L]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [plan_id=109]\n\n(44) BroadcastHashJoin\nLeft keys [1]: [course_id#12L]\nRight keys [1]: [course_id#19L]\nJoin type: Inner\nJoin condition: None\n\n(45) Project\nOutput [4]: [id#0L, name#1, course_id#12L, id#18L]\nInput [5]: [id#0L, name#1, course_id#12L, id#18L, course_id#19L]\n\n(46) Filter\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nCondition : (isnotnull(lesson_id#28L) AND isnotnull(user_id#27L))\n\n(47) BroadcastExchange\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false], input[0, bigint, false]),false), [plan_id=113]\n\n(48) BroadcastHashJoin\nLeft keys [2]: [id#18L, id#0L]\nRight keys [2]: [lesson_id#28L, user_id#27L]\nJoin type: LeftOuter\nJoin condition: None\n\n(49) Project\nOutput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nInput [7]: [id#0L, name#1, course_id#12L, id#18L, user_id#27L, lesson_id#28L, viewed_at#29]\n\n(50) Expand\nInput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nArguments: [[id#0L, name#1, null, null, null, 0, viewed_at#29], [id#0L, name#1, course_id#12L, null, null, 1, null], [id#0L, name#1, null, lesson_id#28L, null, 2, null], [id#0L, name#1, null, null, id#18L, 3, null]], [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\n\n(51) HashAggregate\nInput [7]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [partial_max(lv.viewed_at#178), partial_min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max#197, min#198]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\n\n(52) Exchange\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: hashpartitioning(id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, 200), ENSURE_REQUIREMENTS, [plan_id=119]\n\n(53) HashAggregate\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [max(lv.viewed_at#178), min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max(lv.viewed_at#178)#136, min(lv.viewed_at#178)#138]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at#178)#136 AS max(lv.viewed_at)#179, min(lv.viewed_at#178)#138 AS min(lv.viewed_at)#181]\n\n(54) HashAggregate\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at)#179, min(lv.viewed_at)#181]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [partial_count(e.course_id#175L) FILTER (WHERE (gid#174 = 1)), partial_count(lv.lesson_id#176L) FILTER (WHERE (gid#174 = 2)), partial_first(max(lv.viewed_at)#179, true) FILTER (WHERE (gid#174 = 0)), partial_first(min(lv.viewed_at)#181, true) FILTER (WHERE (gid#174 = 0)), partial_count(l.id#177L) FILTER (WHERE (gid#174 = 3))]\nAggregate Attributes [7]: [count#183L, count#184L, first#185, valueSet#186, first#187, valueSet#188, count#189L]\nResults [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\n\n(55) Exchange\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nArguments: hashpartitioning(id#0L, name#1, 200), ENSURE_REQUIREMENTS, [plan_id=123]\n\n(56) HashAggregate\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [count(e.course_id#175L), count(lv.lesson_id#176L), first(max(lv.viewed_at)#179, true), first(min(lv.viewed_at)#181, true), count(l.id#177L)]\nAggregate Attributes [5]: [count(e.course_id#175L)#141L, count(lv.lesson_id#176L)#142L, first(max(lv.viewed_at)#179) ignore nulls#180, first(min(lv.viewed_at)#181) ignore nulls#182, count(l.id#177L)#143L]\nResults [7]: [id#0L AS user_id#116L, name#1, count(e.course_id#175L)#141L AS enrollment_count#134L, count(lv.lesson_id#176L)#142L AS viewed_lessons_count#135L, first(max(lv.viewed_at)#179) ignore nulls#180 AS last_view#137, first(min(lv.viewed_at)#181) ignore nulls#182 AS first_view#139, count(l.id#177L)#143L AS total_lessons#140L]\n\n(57) Project\nOutput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, CASE WHEN NOT (total_lessons#140L = 0) THEN round(((cast(viewed_lessons_count#135L as double) * 100.0) / cast(total_lessons#140L as double)), 2) ELSE 0.0 END AS engagement_rate#151]\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, total_lessons#140L]\n\n(58) Exchange\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=127]\n\n(59) Sort\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: [user_id#116L ASC NULLS FIRST], true, 0\n\n(60) WriteFiles\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\n\n(61) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]\n\n(62) 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/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [user_id#116L ASC NULLS FIRST], true, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=526]","children":[{"nodeName":"Project","simpleString":"Project [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, CASE WHEN NOT (total_lessons#140L = 0) THEN round(((cast(viewed_lessons_count#135L as double) * 100.0) / cast(total_lessons#140L as double)), 2) ELSE 0.0 END AS engagement_rate#151]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1], functions=[count(e.course_id#175L), count(lv.lesson_id#176L), first(max(lv.viewed_at)#179, true), first(min(lv.viewed_at)#181, true), count(l.id#177L)])","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 4","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, name#1, 200), ENSURE_REQUIREMENTS, [plan_id=513]","children":[{"nodeName":"WholeStageCodegen (5)","simpleString":"WholeStageCodegen (5)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1], functions=[partial_count(e.course_id#175L) FILTER (WHERE (gid#174 = 1)), partial_count(lv.lesson_id#176L) FILTER (WHERE (gid#174 = 2)), partial_first(max(lv.viewed_at)#179, true) FILTER (WHERE (gid#174 = 0)), partial_first(min(lv.viewed_at)#181, true) FILTER (WHERE (gid#174 = 0)), partial_count(l.id#177L) FILTER (WHERE (gid#174 = 3))])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174], functions=[max(lv.viewed_at#178), min(lv.viewed_at#178)])","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, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, 200), ENSURE_REQUIREMENTS, [plan_id=431]","children":[{"nodeName":"WholeStageCodegen (4)","simpleString":"WholeStageCodegen (4)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174], functions=[partial_max(lv.viewed_at#178), partial_min(lv.viewed_at#178)])","children":[{"nodeName":"Expand","simpleString":"Expand [[id#0L, name#1, null, null, null, 0, viewed_at#29], [id#0L, name#1, course_id#12L, null, null, 1, null], [id#0L, name#1, null, lesson_id#28L, null, 2, null], [id#0L, name#1, null, null, id#18L, 3, null]], [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]","children":[{"nodeName":"Project","simpleString":"Project [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#18L, id#0L], [lesson_id#28L, user_id#27L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#0L, name#1, course_id#12L, 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Size":0},{"RDD ID":17,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"47\",\"name\":\"WholeStageCodegen (5)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[16],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[4],"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":1784546400087,"Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0},"Properties":{"spark.driver.port":"38791","spark.submit.pyFiles":"","spark.app.startTime":"1784546376677","spark.rdd.scope":"{\"id\":\"46\",\"name\":\"Exchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.hadoop.fs.s3a.impl":"org.apache.hadoop.fs.s3a.S3AFileSystem","spark.app.submitTime":"1784546375619","spark.eventLog.dir":"file:/opt/spark-events","spark.hadoop.fs.s3a.aws.credentials.provider":"org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider","spark.sql.execution.id":"0","spark.sql.warehouse.dir":"file:/opt/airflow/spark-warehouse","spark.rdd.scope.noOverride":"true","spark.master":"spark://spark-master:7077","spark.hadoop.fs.s3a.secret.key":"*********(redacted)","spark.executor.id":"driver","spark.app.name":"dm_user_activity_summary","spark.hadoop.fs.s3a.access.key":"*********(redacted)","spark.submit.deployMode":"client","spark.hadoop.fs.s3a.path.style.access":"true","spark.driver.host":"73850a3d530b","spark.app.id":"app-20260720151938-0098","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":5,"Stage Attempt ID":0,"Task Info":{"Task ID":4,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1784546400100,"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":5,"Stage Attempt ID":0,"Task Type":"ShuffleMapTask","Task End Reason":{"Reason":"Success"},"Task Info":{"Task ID":4,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1784546400100,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":1784546400337,"Failed":false,"Killed":false,"Accumulables":[{"ID":436,"Name":"local blocks read","Update":"1","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":439,"Name":"local bytes read","Update":"18247","Value":"18247","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":440,"Name":"fetch wait time","Update":"0","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":441,"Name":"records read","Update":"304","Value":"304","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":543,"Name":"data size","Update":"1760","Value":"1760","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":562,"Name":"shuffle bytes written","Update":"1782","Value":"1782","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":563,"Name":"shuffle records written","Update":"20","Value":"20","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":564,"Name":"shuffle write time","Update":"4576593","Value":"4576593","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":565,"Name":"duration","Update":"53","Value":"53","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":566,"Name":"number of output rows","Update":"20","Value":"20","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":567,"Name":"peak memory","Update":"262144","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":569,"Name":"time in aggregation build","Update":"13","Value":"13","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":572,"Name":"number of output rows","Update":"304","Value":"304","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":573,"Name":"peak memory","Update":"4456432","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":575,"Name":"time in aggregation build","Update":"8","Value":"8","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":576,"Name":"avg hash probes per key","Update":"10","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":581,"Name":"internal.metrics.executorDeserializeTime","Update":85,"Value":85,"Internal":true,"Count Failed Values":true},{"ID":582,"Name":"internal.metrics.executorDeserializeCpuTime","Update":37109412,"Value":37109412,"Internal":true,"Count Failed Values":true},{"ID":583,"Name":"internal.metrics.executorRunTime","Update":141,"Value":141,"Internal":true,"Count Failed Values":true},{"ID":584,"Name":"internal.metrics.executorCpuTime","Update":124624672,"Value":124624672,"Internal":true,"Count Failed Values":true},{"ID":585,"Name":"internal.metrics.resultSize","Update":7976,"Value":7976,"Internal":true,"Count Failed Values":true},{"ID":590,"Name":"internal.metrics.peakExecutionMemory","Update":4718576,"Value":4718576,"Internal":true,"Count Failed Values":true},{"ID":592,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":593,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Update":1,"Value":1,"Internal":true,"Count Failed Values":true},{"ID":594,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":595,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":596,"Name":"internal.metrics.shuffle.read.localBytesRead","Update":18247,"Value":18247,"Internal":true,"Count Failed Values":true},{"ID":597,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":598,"Name":"internal.metrics.shuffle.read.recordsRead","Update":304,"Value":304,"Internal":true,"Count Failed Values":true},{"ID":599,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":600,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":601,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":602,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":603,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":604,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":605,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":606,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":607,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":608,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":609,"Name":"internal.metrics.shuffle.write.bytesWritten","Update":1782,"Value":1782,"Internal":true,"Count Failed Values":true},{"ID":610,"Name":"internal.metrics.shuffle.write.recordsWritten","Update":20,"Value":20,"Internal":true,"Count Failed Values":true},{"ID":611,"Name":"internal.metrics.shuffle.write.writeTime","Update":4576593,"Value":4576593,"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":85,"Executor Deserialize CPU Time":37109412,"Executor Run Time":141,"Executor CPU Time":124624672,"Peak Execution Memory":4718576,"Result Size":7976,"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":18247,"Total Records Read":304,"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":1782,"Shuffle Write Time":4576593,"Shuffle Records Written":20},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":5,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":18,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"46\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[17],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":16,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"51\",\"name\":\"AQEShuffleRead\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[15],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":17,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"47\",\"name\":\"WholeStageCodegen (5)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[16],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[4],"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":1784546400087,"Completion Time":1784546400339,"Accumulables":[{"ID":436,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":439,"Name":"local bytes read","Value":"18247","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":440,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":441,"Name":"records read","Value":"304","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":543,"Name":"data size","Value":"1760","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":562,"Name":"shuffle bytes written","Value":"1782","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":563,"Name":"shuffle records written","Value":"20","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":564,"Name":"shuffle write time","Value":"4576593","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":565,"Name":"duration","Value":"53","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":566,"Name":"number of output rows","Value":"20","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":567,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":569,"Name":"time in aggregation build","Value":"13","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":572,"Name":"number of output rows","Value":"304","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":573,"Name":"peak memory","Value":"4456432","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":575,"Name":"time in aggregation build","Value":"8","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":576,"Name":"avg hash probes per key","Value":"10","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":581,"Name":"internal.metrics.executorDeserializeTime","Value":85,"Internal":true,"Count Failed Values":true},{"ID":582,"Name":"internal.metrics.executorDeserializeCpuTime","Value":37109412,"Internal":true,"Count Failed Values":true},{"ID":583,"Name":"internal.metrics.executorRunTime","Value":141,"Internal":true,"Count Failed Values":true},{"ID":584,"Name":"internal.metrics.executorCpuTime","Value":124624672,"Internal":true,"Count Failed Values":true},{"ID":585,"Name":"internal.metrics.resultSize","Value":7976,"Internal":true,"Count Failed Values":true},{"ID":590,"Name":"internal.metrics.peakExecutionMemory","Value":4718576,"Internal":true,"Count Failed Values":true},{"ID":592,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":593,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":594,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":595,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":596,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":18247,"Internal":true,"Count Failed Values":true},{"ID":597,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":598,"Name":"internal.metrics.shuffle.read.recordsRead","Value":304,"Internal":true,"Count Failed Values":true},{"ID":599,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":600,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":601,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":602,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":603,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":604,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":605,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":606,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":607,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":608,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":609,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":1782,"Internal":true,"Count Failed Values":true},{"ID":610,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":20,"Internal":true,"Count Failed Values":true},{"ID":611,"Name":"internal.metrics.shuffle.write.writeTime","Value":4576593,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":4,"Completion Time":1784546400341,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (64)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (37)\n   +- WriteFiles (36)\n      +- Sort (35)\n         +- ShuffleQueryStage (34)\n            +- Exchange (33)\n               +- * Project (32)\n                  +- * HashAggregate (31)\n                     +- AQEShuffleRead (30)\n                        +- ShuffleQueryStage (29), Statistics(sizeInBytes=1760.0 B, rowCount=20)\n                           +- Exchange (28)\n                              +- * HashAggregate (27)\n                                 +- * HashAggregate (26)\n                                    +- AQEShuffleRead (25)\n                                       +- ShuffleQueryStage (24), Statistics(sizeInBytes=23.8 KiB, rowCount=304)\n                                          +- Exchange (23)\n                                             +- * HashAggregate (22)\n                                                +- * Expand (21)\n                                                   +- * Project (20)\n                                                      +- * BroadcastHashJoin LeftOuter BuildRight (19)\n                                                         :- * Project (14)\n                                                         :  +- * BroadcastHashJoin Inner BuildRight (13)\n                                                         :     :- * Project (8)\n                                                         :     :  +- * BroadcastHashJoin Inner BuildLeft (7)\n                                                         :     :     :- BroadcastQueryStage (4), Statistics(sizeInBytes=1024.2 KiB, rowCount=20)\n                                                         :     :     :  +- BroadcastExchange (3)\n                                                         :     :     :     +- * Filter (2)\n                                                         :     :     :        +- Scan csv  (1)\n                                                         :     :     +- * Filter (6)\n                                                         :     :        +- Scan csv  (5)\n                                                         :     +- BroadcastQueryStage (12), Statistics(sizeInBytes=1024.0 KiB, rowCount=18)\n                                                         :        +- BroadcastExchange (11)\n                                                         :           +- * Filter (10)\n                                                         :              +- Scan csv  (9)\n                                                         +- BroadcastQueryStage (18), Statistics(sizeInBytes=2.0 MiB, rowCount=58)\n                                                            +- BroadcastExchange (17)\n                                                               +- * Filter (16)\n                                                                  +- Scan csv  (15)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (63)\n   +- WriteFiles (62)\n      +- Sort (61)\n         +- Exchange (60)\n            +- Project (59)\n               +- HashAggregate (58)\n                  +- Exchange (57)\n                     +- HashAggregate (56)\n                        +- HashAggregate (55)\n                           +- Exchange (54)\n                              +- HashAggregate (53)\n                                 +- Expand (52)\n                                    +- Project (51)\n                                       +- BroadcastHashJoin LeftOuter BuildRight (50)\n                                          :- Project (47)\n                                          :  +- BroadcastHashJoin Inner BuildRight (46)\n                                          :     :- Project (43)\n                                          :     :  +- BroadcastHashJoin Inner BuildLeft (42)\n                                          :     :     :- BroadcastExchange (39)\n                                          :     :     :  +- Filter (38)\n                                          :     :     :     +- Scan csv  (1)\n                                          :     :     +- Filter (41)\n                                          :     :        +- Scan csv  (40)\n                                          :     +- BroadcastExchange (45)\n                                          :        +- Filter (44)\n                                          :           +- Scan csv  (9)\n                                          +- BroadcastExchange (49)\n                                             +- Filter (48)\n                                                +- Scan csv  (15)\n\n\n(1) Scan csv \nOutput [2]: [id#0L, name#1]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/users.csv]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,name:string>\n\n(2) Filter [codegen id : 1]\nInput [2]: [id#0L, name#1]\nCondition : isnotnull(id#0L)\n\n(3) BroadcastExchange\nInput [2]: [id#0L, name#1]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=179]\n\n(4) BroadcastQueryStage\nOutput [2]: [id#0L, name#1]\nArguments: 0\n\n(5) Scan csv \nOutput [2]: [user_id#11L, course_id#12L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(user_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(6) Filter\nInput [2]: [user_id#11L, course_id#12L]\nCondition : (isnotnull(user_id#11L) AND isnotnull(course_id#12L))\n\n(7) BroadcastHashJoin [codegen id : 4]\nLeft keys [1]: [id#0L]\nRight keys [1]: [user_id#11L]\nJoin type: Inner\nJoin condition: None\n\n(8) Project [codegen id : 4]\nOutput [3]: [id#0L, name#1, course_id#12L]\nInput [4]: [id#0L, name#1, user_id#11L, course_id#12L]\n\n(9) Scan csv \nOutput [2]: [id#18L, course_id#19L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(10) Filter [codegen id : 2]\nInput [2]: [id#18L, course_id#19L]\nCondition : isnotnull(course_id#19L)\n\n(11) BroadcastExchange\nInput [2]: [id#18L, course_id#19L]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [plan_id=191]\n\n(12) BroadcastQueryStage\nOutput [2]: [id#18L, course_id#19L]\nArguments: 1\n\n(13) BroadcastHashJoin [codegen id : 4]\nLeft keys [1]: [course_id#12L]\nRight keys [1]: [course_id#19L]\nJoin type: Inner\nJoin condition: None\n\n(14) Project [codegen id : 4]\nOutput [4]: [id#0L, name#1, course_id#12L, id#18L]\nInput [5]: [id#0L, name#1, course_id#12L, id#18L, course_id#19L]\n\n(15) Scan csv \nOutput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id), IsNotNull(user_id)]\nReadSchema: struct<user_id:bigint,lesson_id:bigint,viewed_at:timestamp>\n\n(16) Filter [codegen id : 3]\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nCondition : (isnotnull(lesson_id#28L) AND isnotnull(user_id#27L))\n\n(17) BroadcastExchange\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false], input[0, bigint, false]),false), [plan_id=203]\n\n(18) BroadcastQueryStage\nOutput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nArguments: 2\n\n(19) BroadcastHashJoin [codegen id : 4]\nLeft keys [2]: [id#18L, id#0L]\nRight keys [2]: [lesson_id#28L, user_id#27L]\nJoin type: LeftOuter\nJoin condition: None\n\n(20) Project [codegen id : 4]\nOutput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nInput [7]: [id#0L, name#1, course_id#12L, id#18L, user_id#27L, lesson_id#28L, viewed_at#29]\n\n(21) Expand [codegen id : 4]\nInput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nArguments: [[id#0L, name#1, null, null, null, 0, viewed_at#29], [id#0L, name#1, course_id#12L, null, null, 1, null], [id#0L, name#1, null, lesson_id#28L, null, 2, null], [id#0L, name#1, null, null, id#18L, 3, null]], [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\n\n(22) HashAggregate [codegen id : 4]\nInput [7]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [partial_max(lv.viewed_at#178), partial_min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max#197, min#198]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\n\n(23) Exchange\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: hashpartitioning(id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, 200), ENSURE_REQUIREMENTS, [plan_id=431]\n\n(24) ShuffleQueryStage\nOutput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: 3\n\n(25) AQEShuffleRead\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: coalesced\n\n(26) HashAggregate [codegen id : 5]\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [max(lv.viewed_at#178), min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max(lv.viewed_at#178)#136, min(lv.viewed_at#178)#138]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at#178)#136 AS max(lv.viewed_at)#179, min(lv.viewed_at#178)#138 AS min(lv.viewed_at)#181]\n\n(27) HashAggregate [codegen id : 5]\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at)#179, min(lv.viewed_at)#181]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [partial_count(e.course_id#175L) FILTER (WHERE (gid#174 = 1)), partial_count(lv.lesson_id#176L) FILTER (WHERE (gid#174 = 2)), partial_first(max(lv.viewed_at)#179, true) FILTER (WHERE (gid#174 = 0)), partial_first(min(lv.viewed_at)#181, true) FILTER (WHERE (gid#174 = 0)), partial_count(l.id#177L) FILTER (WHERE (gid#174 = 3))]\nAggregate Attributes [7]: [count#183L, count#184L, first#185, valueSet#186, first#187, valueSet#188, count#189L]\nResults [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\n\n(28) Exchange\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nArguments: hashpartitioning(id#0L, name#1, 200), ENSURE_REQUIREMENTS, [plan_id=513]\n\n(29) ShuffleQueryStage\nOutput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nArguments: 4\n\n(30) AQEShuffleRead\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nArguments: coalesced\n\n(31) HashAggregate [codegen id : 6]\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [count(e.course_id#175L), count(lv.lesson_id#176L), first(max(lv.viewed_at)#179, true), first(min(lv.viewed_at)#181, true), count(l.id#177L)]\nAggregate Attributes [5]: [count(e.course_id#175L)#141L, count(lv.lesson_id#176L)#142L, first(max(lv.viewed_at)#179) ignore nulls#180, first(min(lv.viewed_at)#181) ignore nulls#182, count(l.id#177L)#143L]\nResults [7]: [id#0L AS user_id#116L, name#1, count(e.course_id#175L)#141L AS enrollment_count#134L, count(lv.lesson_id#176L)#142L AS viewed_lessons_count#135L, first(max(lv.viewed_at)#179) ignore nulls#180 AS last_view#137, first(min(lv.viewed_at)#181) ignore nulls#182 AS first_view#139, count(l.id#177L)#143L AS total_lessons#140L]\n\n(32) Project [codegen id : 6]\nOutput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, CASE WHEN NOT (total_lessons#140L = 0) THEN round(((cast(viewed_lessons_count#135L as double) * 100.0) / cast(total_lessons#140L as double)), 2) ELSE 0.0 END AS engagement_rate#151]\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, total_lessons#140L]\n\n(33) Exchange\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=561]\n\n(34) ShuffleQueryStage\nOutput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: 5\n\n(35) Sort\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: [user_id#116L ASC NULLS FIRST], true, 0\n\n(36) WriteFiles\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\n\n(37) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]\n\n(38) Filter\nInput [2]: [id#0L, name#1]\nCondition : isnotnull(id#0L)\n\n(39) BroadcastExchange\nInput [2]: [id#0L, name#1]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=105]\n\n(40) Scan csv \nOutput [2]: [user_id#11L, course_id#12L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(user_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(41) Filter\nInput [2]: [user_id#11L, course_id#12L]\nCondition : (isnotnull(user_id#11L) AND isnotnull(course_id#12L))\n\n(42) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [user_id#11L]\nJoin type: Inner\nJoin condition: None\n\n(43) Project\nOutput [3]: [id#0L, name#1, course_id#12L]\nInput [4]: [id#0L, name#1, user_id#11L, course_id#12L]\n\n(44) Filter\nInput [2]: [id#18L, course_id#19L]\nCondition : isnotnull(course_id#19L)\n\n(45) BroadcastExchange\nInput [2]: [id#18L, course_id#19L]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [plan_id=109]\n\n(46) BroadcastHashJoin\nLeft keys [1]: [course_id#12L]\nRight keys [1]: [course_id#19L]\nJoin type: Inner\nJoin condition: None\n\n(47) Project\nOutput [4]: [id#0L, name#1, course_id#12L, id#18L]\nInput [5]: [id#0L, name#1, course_id#12L, id#18L, course_id#19L]\n\n(48) Filter\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nCondition : (isnotnull(lesson_id#28L) AND isnotnull(user_id#27L))\n\n(49) BroadcastExchange\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false], input[0, bigint, false]),false), [plan_id=113]\n\n(50) BroadcastHashJoin\nLeft keys [2]: [id#18L, id#0L]\nRight keys [2]: [lesson_id#28L, user_id#27L]\nJoin type: LeftOuter\nJoin condition: None\n\n(51) Project\nOutput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nInput [7]: [id#0L, name#1, course_id#12L, id#18L, user_id#27L, lesson_id#28L, viewed_at#29]\n\n(52) Expand\nInput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nArguments: [[id#0L, name#1, null, null, null, 0, viewed_at#29], [id#0L, name#1, course_id#12L, null, null, 1, null], [id#0L, name#1, null, lesson_id#28L, null, 2, null], [id#0L, name#1, null, null, id#18L, 3, null]], [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\n\n(53) HashAggregate\nInput [7]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [partial_max(lv.viewed_at#178), partial_min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max#197, min#198]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\n\n(54) Exchange\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: hashpartitioning(id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, 200), ENSURE_REQUIREMENTS, [plan_id=119]\n\n(55) HashAggregate\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [max(lv.viewed_at#178), min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max(lv.viewed_at#178)#136, min(lv.viewed_at#178)#138]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at#178)#136 AS max(lv.viewed_at)#179, min(lv.viewed_at#178)#138 AS min(lv.viewed_at)#181]\n\n(56) HashAggregate\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at)#179, min(lv.viewed_at)#181]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [partial_count(e.course_id#175L) FILTER (WHERE (gid#174 = 1)), partial_count(lv.lesson_id#176L) FILTER (WHERE (gid#174 = 2)), partial_first(max(lv.viewed_at)#179, true) FILTER (WHERE (gid#174 = 0)), partial_first(min(lv.viewed_at)#181, true) FILTER (WHERE (gid#174 = 0)), partial_count(l.id#177L) FILTER (WHERE (gid#174 = 3))]\nAggregate Attributes [7]: [count#183L, count#184L, first#185, valueSet#186, first#187, valueSet#188, count#189L]\nResults [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\n\n(57) Exchange\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nArguments: hashpartitioning(id#0L, name#1, 200), ENSURE_REQUIREMENTS, [plan_id=123]\n\n(58) HashAggregate\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [count(e.course_id#175L), count(lv.lesson_id#176L), first(max(lv.viewed_at)#179, true), first(min(lv.viewed_at)#181, true), count(l.id#177L)]\nAggregate Attributes [5]: [count(e.course_id#175L)#141L, count(lv.lesson_id#176L)#142L, first(max(lv.viewed_at)#179) ignore nulls#180, first(min(lv.viewed_at)#181) ignore nulls#182, count(l.id#177L)#143L]\nResults [7]: [id#0L AS user_id#116L, name#1, count(e.course_id#175L)#141L AS enrollment_count#134L, count(lv.lesson_id#176L)#142L AS viewed_lessons_count#135L, first(max(lv.viewed_at)#179) ignore nulls#180 AS last_view#137, first(min(lv.viewed_at)#181) ignore nulls#182 AS first_view#139, count(l.id#177L)#143L AS total_lessons#140L]\n\n(59) Project\nOutput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, CASE WHEN NOT (total_lessons#140L = 0) THEN round(((cast(viewed_lessons_count#135L as double) * 100.0) / cast(total_lessons#140L as double)), 2) ELSE 0.0 END AS engagement_rate#151]\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, total_lessons#140L]\n\n(60) Exchange\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=127]\n\n(61) Sort\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: [user_id#116L ASC NULLS FIRST], true, 0\n\n(62) WriteFiles\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\n\n(63) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]\n\n(64) 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/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [user_id#116L ASC NULLS FIRST], true, 0","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 5","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=561]","children":[{"nodeName":"WholeStageCodegen (6)","simpleString":"WholeStageCodegen 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Failed Values":true},{"ID":718,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":719,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":720,"Name":"internal.metrics.shuffle.write.bytesWritten","Update":1831,"Value":1831,"Internal":true,"Count Failed Values":true},{"ID":721,"Name":"internal.metrics.shuffle.write.recordsWritten","Update":20,"Value":20,"Internal":true,"Count Failed Values":true},{"ID":722,"Name":"internal.metrics.shuffle.write.writeTime","Update":2055785,"Value":2055785,"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":36,"Executor Deserialize CPU Time":29534652,"Executor Run Time":19,"Executor CPU Time":18772440,"Peak Execution Memory":4456432,"Result Size":9417,"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":1782,"Total Records Read":20,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":1831,"Shuffle Write Time":2055785,"Shuffle Records Written":20},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":11,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":24,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"52\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[20],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":20,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"53\",\"name\":\"WholeStageCodegen (6)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[19],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":19,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"57\",\"name\":\"AQEShuffleRead\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[18],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"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":1784546400575,"Completion Time":1784546400660,"Accumulables":[{"ID":546,"Name":"local blocks read","Value":"2","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":549,"Name":"local bytes read","Value":"3564","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":550,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":551,"Name":"records read","Value":"40","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":625,"Name":"data size","Value":"1440","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":644,"Name":"shuffle bytes written","Value":"1831","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":645,"Name":"shuffle records written","Value":"20","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":646,"Name":"shuffle write time","Value":"2055785","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":647,"Name":"duration","Value":"31","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":648,"Name":"number of output rows","Value":"40","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":649,"Name":"peak memory","Value":"8912864","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":651,"Name":"time in aggregation build","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":652,"Name":"avg hash probes per key","Value":"20","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":692,"Name":"internal.metrics.executorDeserializeTime","Value":36,"Internal":true,"Count Failed Values":true},{"ID":693,"Name":"internal.metrics.executorDeserializeCpuTime","Value":29534652,"Internal":true,"Count Failed Values":true},{"ID":694,"Name":"internal.metrics.executorRunTime","Value":19,"Internal":true,"Count Failed Values":true},{"ID":695,"Name":"internal.metrics.executorCpuTime","Value":18772440,"Internal":true,"Count Failed Values":true},{"ID":696,"Name":"internal.metrics.resultSize","Value":9417,"Internal":true,"Count Failed Values":true},{"ID":701,"Name":"internal.metrics.peakExecutionMemory","Value":4456432,"Internal":true,"Count Failed Values":true},{"ID":703,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":704,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":705,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":706,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":707,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":1782,"Internal":true,"Count Failed Values":true},{"ID":708,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":709,"Name":"internal.metrics.shuffle.read.recordsRead","Value":20,"Internal":true,"Count Failed Values":true},{"ID":710,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":711,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":712,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":713,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":714,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":715,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":716,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":717,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":718,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":719,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":720,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":1831,"Internal":true,"Count Failed Values":true},{"ID":721,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":20,"Internal":true,"Count Failed Values":true},{"ID":722,"Name":"internal.metrics.shuffle.write.writeTime","Value":2055785,"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":1784546400661,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (65)\n+- == Final Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (38)\n   +- WriteFiles (37)\n      +- * Sort (36)\n         +- AQEShuffleRead (35)\n            +- ShuffleQueryStage (34), Statistics(sizeInBytes=1440.0 B, rowCount=20)\n               +- Exchange (33)\n                  +- * Project (32)\n                     +- * HashAggregate (31)\n                        +- AQEShuffleRead (30)\n                           +- ShuffleQueryStage (29), Statistics(sizeInBytes=1760.0 B, rowCount=20)\n                              +- Exchange (28)\n                                 +- * HashAggregate (27)\n                                    +- * HashAggregate (26)\n                                       +- AQEShuffleRead (25)\n                                          +- ShuffleQueryStage (24), Statistics(sizeInBytes=23.8 KiB, rowCount=304)\n                                             +- Exchange (23)\n                                                +- * HashAggregate (22)\n                                                   +- * Expand (21)\n                                                      +- * Project (20)\n                                                         +- * BroadcastHashJoin LeftOuter BuildRight (19)\n                                                            :- * Project (14)\n                                                            :  +- * BroadcastHashJoin Inner BuildRight (13)\n                                                            :     :- * Project (8)\n                                                            :     :  +- * BroadcastHashJoin Inner BuildLeft (7)\n                                                            :     :     :- BroadcastQueryStage (4), Statistics(sizeInBytes=1024.2 KiB, rowCount=20)\n                                                            :     :     :  +- BroadcastExchange (3)\n                                                            :     :     :     +- * Filter (2)\n                                                            :     :     :        +- Scan csv  (1)\n                                                            :     :     +- * Filter (6)\n                                                            :     :        +- Scan csv  (5)\n                                                            :     +- BroadcastQueryStage (12), Statistics(sizeInBytes=1024.0 KiB, rowCount=18)\n                                                            :        +- BroadcastExchange (11)\n                                                            :           +- * Filter (10)\n                                                            :              +- Scan csv  (9)\n                                                            +- BroadcastQueryStage (18), Statistics(sizeInBytes=2.0 MiB, rowCount=58)\n                                                               +- BroadcastExchange (17)\n                                                                  +- * Filter (16)\n                                                                     +- Scan csv  (15)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (64)\n   +- WriteFiles (63)\n      +- Sort (62)\n         +- Exchange (61)\n            +- Project (60)\n               +- HashAggregate (59)\n                  +- Exchange (58)\n                     +- HashAggregate (57)\n                        +- HashAggregate (56)\n                           +- Exchange (55)\n                              +- HashAggregate (54)\n                                 +- Expand (53)\n                                    +- Project (52)\n                                       +- BroadcastHashJoin LeftOuter BuildRight (51)\n                                          :- Project (48)\n                                          :  +- BroadcastHashJoin Inner BuildRight (47)\n                                          :     :- Project (44)\n                                          :     :  +- BroadcastHashJoin Inner BuildLeft (43)\n                                          :     :     :- BroadcastExchange (40)\n                                          :     :     :  +- Filter (39)\n                                          :     :     :     +- Scan csv  (1)\n                                          :     :     +- Filter (42)\n                                          :     :        +- Scan csv  (41)\n                                          :     +- BroadcastExchange (46)\n                                          :        +- Filter (45)\n                                          :           +- Scan csv  (9)\n                                          +- BroadcastExchange (50)\n                                             +- Filter (49)\n                                                +- Scan csv  (15)\n\n\n(1) Scan csv \nOutput [2]: [id#0L, name#1]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/users.csv]\nPushedFilters: [IsNotNull(id)]\nReadSchema: struct<id:bigint,name:string>\n\n(2) Filter [codegen id : 1]\nInput [2]: [id#0L, name#1]\nCondition : isnotnull(id#0L)\n\n(3) BroadcastExchange\nInput [2]: [id#0L, name#1]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=179]\n\n(4) BroadcastQueryStage\nOutput [2]: [id#0L, name#1]\nArguments: 0\n\n(5) Scan csv \nOutput [2]: [user_id#11L, course_id#12L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(user_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(6) Filter\nInput [2]: [user_id#11L, course_id#12L]\nCondition : (isnotnull(user_id#11L) AND isnotnull(course_id#12L))\n\n(7) BroadcastHashJoin [codegen id : 4]\nLeft keys [1]: [id#0L]\nRight keys [1]: [user_id#11L]\nJoin type: Inner\nJoin condition: None\n\n(8) Project [codegen id : 4]\nOutput [3]: [id#0L, name#1, course_id#12L]\nInput [4]: [id#0L, name#1, user_id#11L, course_id#12L]\n\n(9) Scan csv \nOutput [2]: [id#18L, course_id#19L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<id:bigint,course_id:bigint>\n\n(10) Filter [codegen id : 2]\nInput [2]: [id#18L, course_id#19L]\nCondition : isnotnull(course_id#19L)\n\n(11) BroadcastExchange\nInput [2]: [id#18L, course_id#19L]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [plan_id=191]\n\n(12) BroadcastQueryStage\nOutput [2]: [id#18L, course_id#19L]\nArguments: 1\n\n(13) BroadcastHashJoin [codegen id : 4]\nLeft keys [1]: [course_id#12L]\nRight keys [1]: [course_id#19L]\nJoin type: Inner\nJoin condition: None\n\n(14) Project [codegen id : 4]\nOutput [4]: [id#0L, name#1, course_id#12L, id#18L]\nInput [5]: [id#0L, name#1, course_id#12L, id#18L, course_id#19L]\n\n(15) Scan csv \nOutput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id), IsNotNull(user_id)]\nReadSchema: struct<user_id:bigint,lesson_id:bigint,viewed_at:timestamp>\n\n(16) Filter [codegen id : 3]\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nCondition : (isnotnull(lesson_id#28L) AND isnotnull(user_id#27L))\n\n(17) BroadcastExchange\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false], input[0, bigint, false]),false), [plan_id=203]\n\n(18) BroadcastQueryStage\nOutput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nArguments: 2\n\n(19) BroadcastHashJoin [codegen id : 4]\nLeft keys [2]: [id#18L, id#0L]\nRight keys [2]: [lesson_id#28L, user_id#27L]\nJoin type: LeftOuter\nJoin condition: None\n\n(20) Project [codegen id : 4]\nOutput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nInput [7]: [id#0L, name#1, course_id#12L, id#18L, user_id#27L, lesson_id#28L, viewed_at#29]\n\n(21) Expand [codegen id : 4]\nInput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nArguments: [[id#0L, name#1, null, null, null, 0, viewed_at#29], [id#0L, name#1, course_id#12L, null, null, 1, null], [id#0L, name#1, null, lesson_id#28L, null, 2, null], [id#0L, name#1, null, null, id#18L, 3, null]], [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\n\n(22) HashAggregate [codegen id : 4]\nInput [7]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [partial_max(lv.viewed_at#178), partial_min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max#197, min#198]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\n\n(23) Exchange\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: hashpartitioning(id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, 200), ENSURE_REQUIREMENTS, [plan_id=431]\n\n(24) ShuffleQueryStage\nOutput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: 3\n\n(25) AQEShuffleRead\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: coalesced\n\n(26) HashAggregate [codegen id : 5]\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [max(lv.viewed_at#178), min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max(lv.viewed_at#178)#136, min(lv.viewed_at#178)#138]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at#178)#136 AS max(lv.viewed_at)#179, min(lv.viewed_at#178)#138 AS min(lv.viewed_at)#181]\n\n(27) HashAggregate [codegen id : 5]\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at)#179, min(lv.viewed_at)#181]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [partial_count(e.course_id#175L) FILTER (WHERE (gid#174 = 1)), partial_count(lv.lesson_id#176L) FILTER (WHERE (gid#174 = 2)), partial_first(max(lv.viewed_at)#179, true) FILTER (WHERE (gid#174 = 0)), partial_first(min(lv.viewed_at)#181, true) FILTER (WHERE (gid#174 = 0)), partial_count(l.id#177L) FILTER (WHERE (gid#174 = 3))]\nAggregate Attributes [7]: [count#183L, count#184L, first#185, valueSet#186, first#187, valueSet#188, count#189L]\nResults [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\n\n(28) Exchange\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nArguments: hashpartitioning(id#0L, name#1, 200), ENSURE_REQUIREMENTS, [plan_id=513]\n\n(29) ShuffleQueryStage\nOutput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nArguments: 4\n\n(30) AQEShuffleRead\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nArguments: coalesced\n\n(31) HashAggregate [codegen id : 6]\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [count(e.course_id#175L), count(lv.lesson_id#176L), first(max(lv.viewed_at)#179, true), first(min(lv.viewed_at)#181, true), count(l.id#177L)]\nAggregate Attributes [5]: [count(e.course_id#175L)#141L, count(lv.lesson_id#176L)#142L, first(max(lv.viewed_at)#179) ignore nulls#180, first(min(lv.viewed_at)#181) ignore nulls#182, count(l.id#177L)#143L]\nResults [7]: [id#0L AS user_id#116L, name#1, count(e.course_id#175L)#141L AS enrollment_count#134L, count(lv.lesson_id#176L)#142L AS viewed_lessons_count#135L, first(max(lv.viewed_at)#179) ignore nulls#180 AS last_view#137, first(min(lv.viewed_at)#181) ignore nulls#182 AS first_view#139, count(l.id#177L)#143L AS total_lessons#140L]\n\n(32) Project [codegen id : 6]\nOutput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, CASE WHEN NOT (total_lessons#140L = 0) THEN round(((cast(viewed_lessons_count#135L as double) * 100.0) / cast(total_lessons#140L as double)), 2) ELSE 0.0 END AS engagement_rate#151]\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, total_lessons#140L]\n\n(33) Exchange\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=561]\n\n(34) ShuffleQueryStage\nOutput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: 5\n\n(35) AQEShuffleRead\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: coalesced\n\n(36) Sort [codegen id : 7]\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: [user_id#116L ASC NULLS FIRST], true, 0\n\n(37) WriteFiles\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\n\n(38) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]\n\n(39) Filter\nInput [2]: [id#0L, name#1]\nCondition : isnotnull(id#0L)\n\n(40) BroadcastExchange\nInput [2]: [id#0L, name#1]\nArguments: HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=105]\n\n(41) Scan csv \nOutput [2]: [user_id#11L, course_id#12L]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/enrollments.csv]\nPushedFilters: [IsNotNull(user_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:bigint,course_id:bigint>\n\n(42) Filter\nInput [2]: [user_id#11L, course_id#12L]\nCondition : (isnotnull(user_id#11L) AND isnotnull(course_id#12L))\n\n(43) BroadcastHashJoin\nLeft keys [1]: [id#0L]\nRight keys [1]: [user_id#11L]\nJoin type: Inner\nJoin condition: None\n\n(44) Project\nOutput [3]: [id#0L, name#1, course_id#12L]\nInput [4]: [id#0L, name#1, user_id#11L, course_id#12L]\n\n(45) Filter\nInput [2]: [id#18L, course_id#19L]\nCondition : isnotnull(course_id#19L)\n\n(46) BroadcastExchange\nInput [2]: [id#18L, course_id#19L]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [plan_id=109]\n\n(47) BroadcastHashJoin\nLeft keys [1]: [course_id#12L]\nRight keys [1]: [course_id#19L]\nJoin type: Inner\nJoin condition: None\n\n(48) Project\nOutput [4]: [id#0L, name#1, course_id#12L, id#18L]\nInput [5]: [id#0L, name#1, course_id#12L, id#18L, course_id#19L]\n\n(49) Filter\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nCondition : (isnotnull(lesson_id#28L) AND isnotnull(user_id#27L))\n\n(50) BroadcastExchange\nInput [3]: [user_id#27L, lesson_id#28L, viewed_at#29]\nArguments: HashedRelationBroadcastMode(List(input[1, bigint, false], input[0, bigint, false]),false), [plan_id=113]\n\n(51) BroadcastHashJoin\nLeft keys [2]: [id#18L, id#0L]\nRight keys [2]: [lesson_id#28L, user_id#27L]\nJoin type: LeftOuter\nJoin condition: None\n\n(52) Project\nOutput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nInput [7]: [id#0L, name#1, course_id#12L, id#18L, user_id#27L, lesson_id#28L, viewed_at#29]\n\n(53) Expand\nInput [6]: [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]\nArguments: [[id#0L, name#1, null, null, null, 0, viewed_at#29], [id#0L, name#1, course_id#12L, null, null, 1, null], [id#0L, name#1, null, lesson_id#28L, null, 2, null], [id#0L, name#1, null, null, id#18L, 3, null]], [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\n\n(54) HashAggregate\nInput [7]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [partial_max(lv.viewed_at#178), partial_min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max#197, min#198]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\n\n(55) Exchange\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nArguments: hashpartitioning(id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, 200), ENSURE_REQUIREMENTS, [plan_id=119]\n\n(56) HashAggregate\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max#199, min#200]\nKeys [6]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174]\nFunctions [2]: [max(lv.viewed_at#178), min(lv.viewed_at#178)]\nAggregate Attributes [2]: [max(lv.viewed_at#178)#136, min(lv.viewed_at#178)#138]\nResults [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at#178)#136 AS max(lv.viewed_at)#179, min(lv.viewed_at#178)#138 AS min(lv.viewed_at)#181]\n\n(57) HashAggregate\nInput [8]: [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, max(lv.viewed_at)#179, min(lv.viewed_at)#181]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [partial_count(e.course_id#175L) FILTER (WHERE (gid#174 = 1)), partial_count(lv.lesson_id#176L) FILTER (WHERE (gid#174 = 2)), partial_first(max(lv.viewed_at)#179, true) FILTER (WHERE (gid#174 = 0)), partial_first(min(lv.viewed_at)#181, true) FILTER (WHERE (gid#174 = 0)), partial_count(l.id#177L) FILTER (WHERE (gid#174 = 3))]\nAggregate Attributes [7]: [count#183L, count#184L, first#185, valueSet#186, first#187, valueSet#188, count#189L]\nResults [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\n\n(58) Exchange\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nArguments: hashpartitioning(id#0L, name#1, 200), ENSURE_REQUIREMENTS, [plan_id=123]\n\n(59) HashAggregate\nInput [9]: [id#0L, name#1, count#190L, count#191L, first#192, valueSet#193, first#194, valueSet#195, count#196L]\nKeys [2]: [id#0L, name#1]\nFunctions [5]: [count(e.course_id#175L), count(lv.lesson_id#176L), first(max(lv.viewed_at)#179, true), first(min(lv.viewed_at)#181, true), count(l.id#177L)]\nAggregate Attributes [5]: [count(e.course_id#175L)#141L, count(lv.lesson_id#176L)#142L, first(max(lv.viewed_at)#179) ignore nulls#180, first(min(lv.viewed_at)#181) ignore nulls#182, count(l.id#177L)#143L]\nResults [7]: [id#0L AS user_id#116L, name#1, count(e.course_id#175L)#141L AS enrollment_count#134L, count(lv.lesson_id#176L)#142L AS viewed_lessons_count#135L, first(max(lv.viewed_at)#179) ignore nulls#180 AS last_view#137, first(min(lv.viewed_at)#181) ignore nulls#182 AS first_view#139, count(l.id#177L)#143L AS total_lessons#140L]\n\n(60) Project\nOutput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, CASE WHEN NOT (total_lessons#140L = 0) THEN round(((cast(viewed_lessons_count#135L as double) * 100.0) / cast(total_lessons#140L as double)), 2) ELSE 0.0 END AS engagement_rate#151]\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, total_lessons#140L]\n\n(61) Exchange\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=127]\n\n(62) Sort\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\nArguments: [user_id#116L ASC NULLS FIRST], true, 0\n\n(63) WriteFiles\nInput [7]: [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, engagement_rate#151]\n\n(64) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]\n\n(65) 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/user_activity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/user_activity_summary.parquet], Overwrite, [user_id, name, enrollment_count, viewed_lessons_count, last_view, first_view, engagement_rate]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"WholeStageCodegen (7)","simpleString":"WholeStageCodegen (7)","children":[{"nodeName":"Sort","simpleString":"Sort [user_id#116L ASC NULLS FIRST], true, 0","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 5","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(user_id#116L ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=561]","children":[{"nodeName":"WholeStageCodegen (6)","simpleString":"WholeStageCodegen (6)","children":[{"nodeName":"Project","simpleString":"Project [user_id#116L, name#1, enrollment_count#134L, viewed_lessons_count#135L, last_view#137, first_view#139, CASE WHEN NOT (total_lessons#140L = 0) THEN round(((cast(viewed_lessons_count#135L as double) * 100.0) / cast(total_lessons#140L as double)), 2) ELSE 0.0 END AS engagement_rate#151]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1], functions=[count(e.course_id#175L), count(lv.lesson_id#176L), first(max(lv.viewed_at)#179, true), first(min(lv.viewed_at)#181, true), count(l.id#177L)])","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 4","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(id#0L, name#1, 200), ENSURE_REQUIREMENTS, [plan_id=513]","children":[{"nodeName":"WholeStageCodegen (5)","simpleString":"WholeStageCodegen (5)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1], functions=[partial_count(e.course_id#175L) FILTER (WHERE (gid#174 = 1)), partial_count(lv.lesson_id#176L) FILTER (WHERE (gid#174 = 2)), partial_first(max(lv.viewed_at)#179, true) FILTER (WHERE (gid#174 = 0)), partial_first(min(lv.viewed_at)#181, true) FILTER (WHERE (gid#174 = 0)), partial_count(l.id#177L) FILTER (WHERE (gid#174 = 3))])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174], functions=[max(lv.viewed_at#178), min(lv.viewed_at#178)])","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, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, 200), ENSURE_REQUIREMENTS, [plan_id=431]","children":[{"nodeName":"WholeStageCodegen (4)","simpleString":"WholeStageCodegen (4)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174], functions=[partial_max(lv.viewed_at#178), partial_min(lv.viewed_at#178)])","children":[{"nodeName":"Expand","simpleString":"Expand [[id#0L, name#1, null, null, null, 0, viewed_at#29], [id#0L, name#1, course_id#12L, null, null, 1, null], [id#0L, name#1, null, lesson_id#28L, null, 2, null], [id#0L, name#1, null, null, id#18L, 3, null]], [id#0L, name#1, e.course_id#175L, lv.lesson_id#176L, l.id#177L, gid#174, lv.viewed_at#178]","children":[{"nodeName":"Project","simpleString":"Project [id#0L, name#1, course_id#12L, id#18L, lesson_id#28L, viewed_at#29]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#18L, id#0L], [lesson_id#28L, user_id#27L], LeftOuter, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#0L, name#1, course_id#12L, id#18L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#12L], [course_id#19L], Inner, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [id#0L, name#1, course_id#12L]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [id#0L], [user_id#11L], Inner, BuildLeft, false","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 0","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[0, bigint, false]),false), [plan_id=179]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(id#0L)","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [id#0L,name#1] Batched: false, DataFilters: [isnotnull(id#0L)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/users.csv], PartitionFilters: [], PushedFilters: [IsNotNull(id)], ReadSchema: struct<id:bigint,name:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/users.csv]","ReadSchema":"struct<id:bigint,name:string>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(id)]","DataFilters":"[isnotnull(id#0L)]"},"metrics":[{"name":"number of output rows","accumulatorId":110,"metricType":"sum"},{"name":"number of files read","accumulatorId":111,"metricType":"sum"},{"name":"metadata time","accumulatorId":112,"metricType":"timing"},{"name":"size of files read","accumulatorId":113,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":242,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":241,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":240,"metricType":"timing"},{"name":"time to build","accumulatorId":239,"metricType":"timing"},{"name":"time to collect","accumulatorId":238,"metricType":"timing"},{"name":"number of output rows","accumulatorId":237,"metricType":"sum"},{"name":"data size","accumulatorId":236,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[]},{"nodeName":"Filter","simpleString":"Filter (isnotnull(user_id#11L) AND isnotnull(course_id#12L))","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [user_id#11L,course_id#12L] Batched: false, DataFilters: [isnotnull(user_id#11L), isnotnull(course_id#12L)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/enrollments.csv], PartitionFilters: [], PushedFilters: [IsNotNull(user_id), IsNotNull(course_id)], ReadSchema: struct<user_id:bigint,course_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/enrollments.csv]","ReadSchema":"struct<user_id:bigint,course_id:bigint>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(user_id), IsNotNull(course_id)]","DataFilters":"[isnotnull(user_id#11L), isnotnull(course_id#12L)]"},"metrics":[{"name":"number of output rows","accumulatorId":467,"metricType":"sum"},{"name":"number of files read","accumulatorId":468,"metricType":"sum"},{"name":"metadata time","accumulatorId":469,"metricType":"timing"},{"name":"size of files read","accumulatorId":470,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":466,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":465,"metricType":"sum"}]}],"metadata":{},"metrics":[]},{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 1","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(input[1, bigint, false]),false), [plan_id=191]","children":[{"nodeName":"WholeStageCodegen (2)","simpleString":"WholeStageCodegen (2)","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#19L)","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [id#18L,course_id#19L] Batched: false, DataFilters: [isnotnull(course_id#19L)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.csv], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<id:bigint,course_id:bigint>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/lessons.csv]","ReadSchema":"struct<id:bigint,course_id:bigint>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#19L)]"},"metrics":[{"name":"number of output rows","accumulatorId":125,"metricType":"sum"},{"name":"number of files 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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":"SparkListenerTaskEnd","Stage ID":15,"Stage Attempt ID":0,"Task Type":"ResultTask","Task End Reason":{"Reason":"Success"},"Task Info":{"Task ID":7,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1784546400855,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":1784546401770,"Failed":false,"Killed":false,"Accumulables":[{"ID":628,"Name":"local blocks read","Update":"1","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":631,"Name":"local bytes read","Update":"1831","Value":"1831","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":632,"Name":"fetch wait time","Update":"0","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":633,"Name":"records read","Update":"20","Value":"20","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":731,"Name":"task commit time","Update":"92","Value":"92","Internal":true,"Count Failed 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{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":15,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":27,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"70\",\"name\":\"WriteFiles\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[26],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":25,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"74\",\"name\":\"AQEShuffleRead\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[24],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk 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{"Event":"SparkListenerJobEnd","Job ID":7,"Completion Time":1784546401772,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[727,1],[732,119],[729,20],[730,0],[728,2745]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionEnd","executionId":0,"time":1784546401896,"errorMessage":""}
{"Event":"SparkListenerApplicationEnd","Timestamp":1784546401899}