{"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":39303},"Maximum Memory":455501414,"Timestamp":1784106874077,"Maximum Onheap Memory":455501414,"Maximum Offheap Memory":0}
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{"Event":"SparkListenerApplicationStart","App Name":"dm_lesson_popularity_summary","App ID":"app-20260715131434-0083","Timestamp":1784106873064,"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 (23)\n+- Execute InsertIntoHadoopFsRelationCommand (22)\n   +- WriteFiles (21)\n      +- Sort (20)\n         +- Exchange (19)\n            +- Project (18)\n               +- BroadcastHashJoin Inner BuildRight (17)\n                  :- Project (13)\n                  :  +- BroadcastHashJoin Inner BuildRight (12)\n                  :     :- HashAggregate (8)\n                  :     :  +- Exchange (7)\n                  :     :     +- HashAggregate (6)\n                  :     :        +- HashAggregate (5)\n                  :     :           +- Exchange (4)\n                  :     :              +- HashAggregate (3)\n                  :     :                 +- Filter (2)\n                  :     :                    +- Scan csv  (1)\n                  :     +- BroadcastExchange (11)\n                  :        +- Filter (10)\n                  :           +- Scan csv  (9)\n                  +- BroadcastExchange (16)\n                     +- Filter (15)\n                        +- Scan csv  (14)\n\n\n(1) Scan csv \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/fact_lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>\n\n(2) Filter\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(3) HashAggregate\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(4) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=76]\n\n(5) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(6) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(7) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=80]\n\n(8) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(9) Scan csv \nOutput [2]: [lesson_id#8, title#10]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_lesson.csv]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:int,title:string>\n\n(10) Filter\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(11) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=83]\n\n(12) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(13) Project\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(14) Scan csv \nOutput [2]: [course_id#18, title#19]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_course.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:int,title:string>\n\n(15) Filter\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(16) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=87]\n\n(17) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(18) Project\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(19) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=91]\n\n(20) Sort\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(21) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(22) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(23) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [lesson_id#1 ASC NULLS FIRST], true, 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PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id)], ReadSchema: struct<lesson_id:int,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/dim_lesson.csv]","ReadSchema":"struct<lesson_id:int,title:string>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(lesson_id)]","DataFilters":"[isnotnull(lesson_id#8)]"},"metrics":[{"name":"number of output rows","accumulatorId":113,"metricType":"sum"},{"name":"number of files read","accumulatorId":114,"metricType":"sum"},{"name":"metadata time","accumulatorId":115,"metricType":"timing"},{"name":"size of files read","accumulatorId":116,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":112,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":111,"metricType":"timing"},{"name":"time to build","accumulatorId":110,"metricType":"timing"},{"name":"time to collect","accumulatorId":109,"metricType":"timing"},{"name":"number of output rows","accumulatorId":108,"metricType":"sum"},{"name":"data size","accumulatorId":107,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":33,"metricType":"sum"}]}],"metadata":{},"metrics":[]},{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=87]","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#18)","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [course_id#18,title#19] Batched: false, DataFilters: [isnotnull(course_id#18)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/dim_course.csv], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<course_id:int,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/dim_course.csv]","ReadSchema":"struct<course_id:int,title:string>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#18)]"},"metrics":[{"name":"number of output rows","accumulatorId":123,"metricType":"sum"},{"name":"number of files read","accumulatorId":124,"metricType":"sum"},{"name":"metadata time","accumulatorId":125,"metricType":"timing"},{"name":"size of files read","accumulatorId":126,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":122,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":121,"metricType":"timing"},{"name":"time to build","accumulatorId":120,"metricType":"timing"},{"name":"time to collect","accumulatorId":119,"metricType":"timing"},{"name":"number of output rows","accumulatorId":118,"metricType":"sum"},{"name":"data size","accumulatorId":117,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":32,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":30,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":24,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":31,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":25,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":22,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":19,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":28,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":21,"metricType":"sum"},{"name":"records read","accumulatorId":18,"metricType":"sum"},{"name":"local bytes read","accumulatorId":16,"metricType":"size"},{"name":"fetch wait time","accumulatorId":17,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":14,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":20,"metricType":"sum"},{"name":"local blocks read","accumulatorId":13,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":23,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":12,"metricType":"sum"},{"name":"data size","accumulatorId":10,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":26,"metricType":"size"},{"name":"number of partitions","accumulatorId":11,"metricType":"sum"},{"name":"remote reqs 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":1784106878405,"modifiedConfigs":{},"jobTags":[]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (45)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (25)\n   +- WriteFiles (24)\n      +- Sort (23)\n         +- Exchange (22)\n            +- Project (21)\n               +- BroadcastHashJoin Inner BuildRight (20)\n                  :- Project (15)\n                  :  +- BroadcastHashJoin Inner BuildRight (14)\n                  :     :- HashAggregate (9)\n                  :     :  +- Exchange (8)\n                  :     :     +- HashAggregate (7)\n                  :     :        +- HashAggregate (6)\n                  :     :           +- ShuffleQueryStage (5)\n                  :     :              +- Exchange (4)\n                  :     :                 +- * HashAggregate (3)\n                  :     :                    +- * Filter (2)\n                  :     :                       +- Scan csv  (1)\n                  :     +- BroadcastQueryStage (13)\n                  :        +- BroadcastExchange (12)\n                  :           +- * Filter (11)\n                  :              +- Scan csv  (10)\n                  +- BroadcastQueryStage (19)\n                     +- BroadcastExchange (18)\n                        +- * Filter (17)\n                           +- Scan csv  (16)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (44)\n   +- WriteFiles (43)\n      +- Sort (42)\n         +- Exchange (41)\n            +- Project (40)\n               +- BroadcastHashJoin Inner BuildRight (39)\n                  :- Project (36)\n                  :  +- BroadcastHashJoin Inner BuildRight (35)\n                  :     :- HashAggregate (32)\n                  :     :  +- Exchange (31)\n                  :     :     +- HashAggregate (30)\n                  :     :        +- HashAggregate (29)\n                  :     :           +- Exchange (28)\n                  :     :              +- HashAggregate (27)\n                  :     :                 +- Filter (26)\n                  :     :                    +- Scan csv  (1)\n                  :     +- BroadcastExchange (34)\n                  :        +- Filter (33)\n                  :           +- Scan csv  (10)\n                  +- BroadcastExchange (38)\n                     +- Filter (37)\n                        +- Scan csv  (16)\n\n\n(1) Scan csv \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/fact_lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>\n\n(2) Filter [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(3) HashAggregate [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(4) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=132]\n\n(5) ShuffleQueryStage\nOutput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: 0\n\n(6) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(7) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(8) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=144]\n\n(9) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(10) Scan csv \nOutput [2]: [lesson_id#8, title#10]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_lesson.csv]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:int,title:string>\n\n(11) Filter [codegen id : 2]\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(12) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=149]\n\n(13) BroadcastQueryStage\nOutput [2]: [lesson_id#8, title#10]\nArguments: 1\n\n(14) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(15) Project\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(16) Scan csv \nOutput [2]: [course_id#18, title#19]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_course.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:int,title:string>\n\n(17) Filter [codegen id : 3]\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(18) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=161]\n\n(19) BroadcastQueryStage\nOutput [2]: [course_id#18, title#19]\nArguments: 2\n\n(20) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(21) Project\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(22) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=170]\n\n(23) Sort\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(24) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(25) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(26) Filter\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(27) HashAggregate\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(28) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=76]\n\n(29) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(30) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(31) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=80]\n\n(32) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(33) Filter\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(34) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=83]\n\n(35) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(36) Project\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(37) Filter\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(38) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=87]\n\n(39) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(40) Project\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(41) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=91]\n\n(42) Sort\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(43) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(44) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(45) 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_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [lesson_id#1 ASC NULLS FIRST], true, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=170]","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#2], [course_id#18], Inner, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [lesson_id#1], [lesson_id#8], Inner, BuildRight, false","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2], functions=[count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=144]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2], functions=[merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), 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{"Event":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":1,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":8,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"1\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[7],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":7,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"5\",\"name\":\"WholeStageCodegen (3)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[5],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of 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{"Event":"SparkListenerJobStart","Job ID":2,"Submission Time":1784106879391,"Stage Infos":[{"Stage ID":2,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":11,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"2\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[10],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":10,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"4\",\"name\":\"WholeStageCodegen (1)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[4],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of 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{"Event":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":2,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":11,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"2\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[10],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":10,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"4\",\"name\":\"WholeStageCodegen (1)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[4],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory 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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":1784106879395,"Completion Time":1784106889640,"Accumulables":[{"ID":103,"Name":"number of output rows","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":194,"Name":"data size","Value":"3080","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":213,"Name":"shuffle bytes written","Value":"4078","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":214,"Name":"shuffle records written","Value":"55","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":215,"Name":"shuffle write time","Value":"26101100","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":216,"Name":"duration","Value":"1488","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":217,"Name":"number of output rows","Value":"55","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":218,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":220,"Name":"time in aggregation build","Value":"1328","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":223,"Name":"number of output rows","Value":"58","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":308,"Name":"internal.metrics.executorDeserializeTime","Value":681,"Internal":true,"Count Failed Values":true},{"ID":309,"Name":"internal.metrics.executorDeserializeCpuTime","Value":248203277,"Internal":true,"Count Failed Values":true},{"ID":310,"Name":"internal.metrics.executorRunTime","Value":1900,"Internal":true,"Count Failed Values":true},{"ID":311,"Name":"internal.metrics.executorCpuTime","Value":571569688,"Internal":true,"Count Failed Values":true},{"ID":312,"Name":"internal.metrics.resultSize","Value":2858,"Internal":true,"Count Failed Values":true},{"ID":313,"Name":"internal.metrics.jvmGCTime","Value":23,"Internal":true,"Count Failed Values":true},{"ID":314,"Name":"internal.metrics.resultSerializationTime","Value":1,"Internal":true,"Count Failed Values":true},{"ID":317,"Name":"internal.metrics.peakExecutionMemory","Value":262144,"Internal":true,"Count Failed Values":true},{"ID":336,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":4078,"Internal":true,"Count Failed Values":true},{"ID":337,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":55,"Internal":true,"Count Failed Values":true},{"ID":338,"Name":"internal.metrics.shuffle.write.writeTime","Value":26101100,"Internal":true,"Count Failed Values":true},{"ID":339,"Name":"internal.metrics.input.bytesRead","Value":1808,"Internal":true,"Count Failed Values":true},{"ID":340,"Name":"internal.metrics.input.recordsRead","Value":58,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":2,"Completion Time":1784106889644,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[228,4],[227,42],[226,11046],[225,18],[224,1048720]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[235,13],[234,44],[233,11041],[232,5],[231,1048616]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (47)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (27)\n   +- WriteFiles (26)\n      +- Sort (25)\n         +- Exchange (24)\n            +- Project (23)\n               +- BroadcastHashJoin Inner BuildRight (22)\n                  :- Project (17)\n                  :  +- BroadcastHashJoin Inner BuildRight (16)\n                  :     :- HashAggregate (11)\n                  :     :  +- ShuffleQueryStage (10)\n                  :     :     +- Exchange (9)\n                  :     :        +- * HashAggregate (8)\n                  :     :           +- * HashAggregate (7)\n                  :     :              +- AQEShuffleRead (6)\n                  :     :                 +- ShuffleQueryStage (5), Statistics(sizeInBytes=3.0 KiB, rowCount=55)\n                  :     :                    +- Exchange (4)\n                  :     :                       +- * HashAggregate (3)\n                  :     :                          +- * Filter (2)\n                  :     :                             +- Scan csv  (1)\n                  :     +- BroadcastQueryStage (15), Statistics(sizeInBytes=1024.1 KiB, rowCount=18)\n                  :        +- BroadcastExchange (14)\n                  :           +- * Filter (13)\n                  :              +- Scan csv  (12)\n                  +- BroadcastQueryStage (21)\n                     +- BroadcastExchange (20)\n                        +- * Filter (19)\n                           +- Scan csv  (18)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (46)\n   +- WriteFiles (45)\n      +- Sort (44)\n         +- Exchange (43)\n            +- Project (42)\n               +- BroadcastHashJoin Inner BuildRight (41)\n                  :- Project (38)\n                  :  +- BroadcastHashJoin Inner BuildRight (37)\n                  :     :- HashAggregate (34)\n                  :     :  +- Exchange (33)\n                  :     :     +- HashAggregate (32)\n                  :     :        +- HashAggregate (31)\n                  :     :           +- Exchange (30)\n                  :     :              +- HashAggregate (29)\n                  :     :                 +- Filter (28)\n                  :     :                    +- Scan csv  (1)\n                  :     +- BroadcastExchange (36)\n                  :        +- Filter (35)\n                  :           +- Scan csv  (12)\n                  +- BroadcastExchange (40)\n                     +- Filter (39)\n                        +- Scan csv  (18)\n\n\n(1) Scan csv \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/fact_lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>\n\n(2) Filter [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(3) HashAggregate [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(4) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=132]\n\n(5) ShuffleQueryStage\nOutput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: 0\n\n(6) AQEShuffleRead\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: coalesced\n\n(7) HashAggregate [codegen id : 4]\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(8) HashAggregate [codegen id : 4]\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(9) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=230]\n\n(10) ShuffleQueryStage\nOutput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: 3\n\n(11) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(12) Scan csv \nOutput [2]: [lesson_id#8, title#10]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_lesson.csv]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:int,title:string>\n\n(13) Filter [codegen id : 2]\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(14) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=149]\n\n(15) BroadcastQueryStage\nOutput [2]: [lesson_id#8, title#10]\nArguments: 1\n\n(16) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(17) Project\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(18) Scan csv \nOutput [2]: [course_id#18, title#19]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_course.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:int,title:string>\n\n(19) Filter [codegen id : 3]\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(20) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=161]\n\n(21) BroadcastQueryStage\nOutput [2]: [course_id#18, title#19]\nArguments: 2\n\n(22) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(23) Project\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(24) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=246]\n\n(25) Sort\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(26) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(27) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(28) Filter\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(29) HashAggregate\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(30) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=76]\n\n(31) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(32) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(33) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=80]\n\n(34) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(35) Filter\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(36) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=83]\n\n(37) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(38) Project\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(39) Filter\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(40) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=87]\n\n(41) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(42) Project\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(43) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=91]\n\n(44) Sort\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(45) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(46) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(47) 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_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [lesson_id#1 ASC NULLS FIRST], true, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=246]","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#2], [course_id#18], Inner, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [lesson_id#1], [lesson_id#8], Inner, BuildRight, 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Count":0},"Properties":{"spark.driver.port":"44367","spark.submit.pyFiles":"","spark.app.startTime":"1784106873064","spark.rdd.scope":"{\"id\":\"24\",\"name\":\"Exchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.hadoop.fs.s3a.impl":"org.apache.hadoop.fs.s3a.S3AFileSystem","spark.app.submitTime":"1784106871979","spark.eventLog.dir":"file:/opt/spark-events","spark.hadoop.fs.s3a.aws.credentials.provider":"org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider","spark.sql.execution.id":"0","spark.sql.warehouse.dir":"file:/opt/airflow/spark-warehouse","spark.rdd.scope.noOverride":"true","spark.master":"spark://spark-master:7077","spark.hadoop.fs.s3a.secret.key":"*********(redacted)","spark.executor.id":"driver","spark.app.name":"dm_lesson_popularity_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-20260715131434-0083","spark.eventLog.compress":"true","spark.eventLog.enabled":"true","__fetch_continuous_blocks_in_batch_enabled":"true","spark.executor.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false","spark.sql.execution.root.id":"0","spark.hadoop.fs.s3a.connection.ssl.enabled":"false","spark.serializer.objectStreamReset":"100","spark.driver.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}}
{"Event":"SparkListenerTaskStart","Stage ID":4,"Stage Attempt ID":0,"Task Info":{"Task ID":3,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1784106889826,"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":4,"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":1784106889826,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":1784106890119,"Failed":false,"Killed":false,"Accumulables":[{"ID":197,"Name":"local blocks read","Update":"1","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":200,"Name":"local bytes read","Update":"4078","Value":"4078","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":201,"Name":"fetch wait time","Update":"0","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":202,"Name":"records read","Update":"55","Value":"55","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":382,"Name":"data size","Update":"840","Value":"840","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":401,"Name":"shuffle bytes written","Update":"1282","Value":"1282","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":402,"Name":"shuffle records written","Update":"15","Value":"15","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":403,"Name":"shuffle write time","Update":"4166006","Value":"4166006","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":404,"Name":"duration","Update":"89","Value":"89","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":405,"Name":"number of output rows","Update":"15","Value":"15","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":406,"Name":"peak memory","Update":"262144","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":408,"Name":"time in aggregation build","Update":"24","Value":"24","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":411,"Name":"number of output 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Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":55,"Executor Deserialize CPU Time":36497519,"Executor Run Time":225,"Executor CPU Time":198879326,"Peak Execution Memory":524288,"Result Size":5847,"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":4078,"Total Records Read":55,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":1282,"Shuffle Write Time":4166006,"Shuffle Records Written":15},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":4,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":14,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"24\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[13],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":12,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"29\",\"name\":\"AQEShuffleRead\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[11],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":13,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"25\",\"name\":\"WholeStageCodegen (4)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[12],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[3],"Details":"org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:792)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784106889811,"Completion Time":1784106890121,"Accumulables":[{"ID":197,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":200,"Name":"local bytes read","Value":"4078","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":201,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":202,"Name":"records read","Value":"55","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":382,"Name":"data size","Value":"840","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":401,"Name":"shuffle bytes written","Value":"1282","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":402,"Name":"shuffle records written","Value":"15","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":403,"Name":"shuffle write time","Value":"4166006","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":404,"Name":"duration","Value":"89","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":405,"Name":"number of output rows","Value":"15","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":406,"Name":"peak 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Values":true},{"ID":424,"Name":"internal.metrics.resultSize","Value":5847,"Internal":true,"Count Failed Values":true},{"ID":429,"Name":"internal.metrics.peakExecutionMemory","Value":524288,"Internal":true,"Count Failed Values":true},{"ID":431,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":432,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":433,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":434,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":435,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":4078,"Internal":true,"Count Failed Values":true},{"ID":436,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":437,"Name":"internal.metrics.shuffle.read.recordsRead","Value":55,"Internal":true,"Count Failed Values":true},{"ID":438,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":439,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":440,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":441,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":442,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":443,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":444,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":445,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":446,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":447,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":448,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":1282,"Internal":true,"Count Failed Values":true},{"ID":449,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":15,"Internal":true,"Count Failed Values":true},{"ID":450,"Name":"internal.metrics.shuffle.write.writeTime","Value":4166006,"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":1784106890122,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (49)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (29)\n   +- WriteFiles (28)\n      +- Sort (27)\n         +- ShuffleQueryStage (26)\n            +- Exchange (25)\n               +- * Project (24)\n                  +- * BroadcastHashJoin Inner BuildRight (23)\n                     :- * Project (18)\n                     :  +- * BroadcastHashJoin Inner BuildRight (17)\n                     :     :- * HashAggregate (12)\n                     :     :  +- AQEShuffleRead (11)\n                     :     :     +- ShuffleQueryStage (10), Statistics(sizeInBytes=840.0 B, rowCount=15)\n                     :     :        +- Exchange (9)\n                     :     :           +- * HashAggregate (8)\n                     :     :              +- * HashAggregate (7)\n                     :     :                 +- AQEShuffleRead (6)\n                     :     :                    +- ShuffleQueryStage (5), Statistics(sizeInBytes=3.0 KiB, rowCount=55)\n                     :     :                       +- Exchange (4)\n                     :     :                          +- * HashAggregate (3)\n                     :     :                             +- * Filter (2)\n                     :     :                                +- Scan csv  (1)\n                     :     +- BroadcastQueryStage (16), Statistics(sizeInBytes=1024.1 KiB, rowCount=18)\n                     :        +- BroadcastExchange (15)\n                     :           +- * Filter (14)\n                     :              +- Scan csv  (13)\n                     +- BroadcastQueryStage (22), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                        +- BroadcastExchange (21)\n                           +- * Filter (20)\n                              +- Scan csv  (19)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (48)\n   +- WriteFiles (47)\n      +- Sort (46)\n         +- Exchange (45)\n            +- Project (44)\n               +- BroadcastHashJoin Inner BuildRight (43)\n                  :- Project (40)\n                  :  +- BroadcastHashJoin Inner BuildRight (39)\n                  :     :- HashAggregate (36)\n                  :     :  +- Exchange (35)\n                  :     :     +- HashAggregate (34)\n                  :     :        +- HashAggregate (33)\n                  :     :           +- Exchange (32)\n                  :     :              +- HashAggregate (31)\n                  :     :                 +- Filter (30)\n                  :     :                    +- Scan csv  (1)\n                  :     +- BroadcastExchange (38)\n                  :        +- Filter (37)\n                  :           +- Scan csv  (13)\n                  +- BroadcastExchange (42)\n                     +- Filter (41)\n                        +- Scan csv  (19)\n\n\n(1) Scan csv \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/fact_lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>\n\n(2) Filter [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(3) HashAggregate [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(4) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=132]\n\n(5) ShuffleQueryStage\nOutput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: 0\n\n(6) AQEShuffleRead\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: coalesced\n\n(7) HashAggregate [codegen id : 4]\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(8) HashAggregate [codegen id : 4]\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(9) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=230]\n\n(10) ShuffleQueryStage\nOutput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: 3\n\n(11) AQEShuffleRead\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: coalesced\n\n(12) HashAggregate [codegen id : 5]\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(13) Scan csv \nOutput [2]: [lesson_id#8, title#10]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_lesson.csv]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:int,title:string>\n\n(14) Filter [codegen id : 2]\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(15) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=149]\n\n(16) BroadcastQueryStage\nOutput [2]: [lesson_id#8, title#10]\nArguments: 1\n\n(17) BroadcastHashJoin [codegen id : 5]\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(18) Project [codegen id : 5]\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(19) Scan csv \nOutput [2]: [course_id#18, title#19]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_course.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:int,title:string>\n\n(20) Filter [codegen id : 3]\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(21) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=161]\n\n(22) BroadcastQueryStage\nOutput [2]: [course_id#18, title#19]\nArguments: 2\n\n(23) BroadcastHashJoin [codegen id : 5]\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(24) Project [codegen id : 5]\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(25) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=338]\n\n(26) ShuffleQueryStage\nOutput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: 4\n\n(27) Sort\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(28) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(29) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(30) Filter\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(31) HashAggregate\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(32) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=76]\n\n(33) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(34) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(35) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=80]\n\n(36) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(37) Filter\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(38) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=83]\n\n(39) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(40) Project\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(41) Filter\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(42) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=87]\n\n(43) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(44) Project\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(45) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=91]\n\n(46) Sort\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(47) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(48) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(49) 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_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [lesson_id#1 ASC NULLS FIRST], true, 0","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 4","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=338]","children":[{"nodeName":"WholeStageCodegen (5)","simpleString":"WholeStageCodegen (5)","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#2], [course_id#18], Inner, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [lesson_id#1], [lesson_id#8], Inner, BuildRight, false","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2], functions=[count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)])","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 3","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=230]","children":[{"nodeName":"WholeStageCodegen (4)","simpleString":"WholeStageCodegen (4)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2], functions=[merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2, user_id#0], functions=[merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)])","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=132]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2, user_id#0], functions=[partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)])","children":[{"nodeName":"Filter","simpleString":"Filter (isnotnull(lesson_id#1) AND isnotnull(course_id#2))","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [user_id#0,lesson_id#1,course_id#2,viewed_at#3] Batched: false, DataFilters: [isnotnull(lesson_id#1), isnotnull(course_id#2)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/fact_lesson_views.csv], PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id), IsNotNull(course_id)], ReadSchema: struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/fact_lesson_views.csv]","ReadSchema":"struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(lesson_id), IsNotNull(course_id)]","DataFilters":"[isnotnull(lesson_id#1), isnotnull(course_id#2)]"},"metrics":[{"name":"number of output rows","accumulatorId":103,"metricType":"sum"},{"name":"number of files read","accumulatorId":104,"metricType":"sum"},{"name":"metadata time","accumulatorId":105,"metricType":"timing"},{"name":"size of files read","accumulatorId":106,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":223,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":219,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":220,"metricType":"timing"},{"name":"peak memory","accumulatorId":218,"metricType":"size"},{"name":"number of output rows","accumulatorId":217,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":222,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":221,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":216,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":214,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":208,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":215,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":209,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":206,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":203,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":212,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":205,"metricType":"sum"},{"name":"records read","accumulatorId":202,"metricType":"sum"},{"name":"local bytes read","accumulatorId":200,"metricType":"size"},{"name":"fetch wait time","accumulatorId":201,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":198,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":204,"metricType":"sum"},{"name":"local blocks read","accumulatorId":197,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":207,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":196,"metricType":"sum"},{"name":"data size","accumulatorId":194,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":210,"metricType":"size"},{"name":"number of partitions","accumulatorId":195,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":211,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":199,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":213,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of partitions","accumulatorId":417,"metricType":"sum"},{"name":"partition data size","accumulatorId":418,"metricType":"size"},{"name":"number of coalesced partitions","accumulatorId":419,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":413,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":414,"metricType":"timing"},{"name":"peak memory","accumulatorId":412,"metricType":"size"},{"name":"number of output rows","accumulatorId":411,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":416,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":415,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":407,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":408,"metricType":"timing"},{"name":"peak memory","accumulatorId":406,"metricType":"size"},{"name":"number of output rows","accumulatorId":405,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":410,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":409,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":404,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":402,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":396,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":403,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":397,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":394,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":391,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":400,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":393,"metricType":"sum"},{"name":"records read","accumulatorId":390,"metricType":"sum"},{"name":"local bytes read","accumulatorId":388,"metricType":"size"},{"name":"fetch wait time","accumulatorId":389,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":386,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":392,"metricType":"sum"},{"name":"local blocks read","accumulatorId":385,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":395,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":384,"metricType":"sum"},{"name":"data size","accumulatorId":382,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":398,"metricType":"size"},{"name":"number of partitions","accumulatorId":383,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":399,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":387,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":401,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of partitions","accumulatorId":495,"metricType":"sum"},{"name":"partition data size","accumulatorId":496,"metricType":"size"},{"name":"number of coalesced partitions","accumulatorId":497,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":491,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":492,"metricType":"timing"},{"name":"peak memory","accumulatorId":490,"metricType":"size"},{"name":"number of output rows","accumulatorId":489,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":494,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":493,"metricType":"average"}]},{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 1","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=149]","children":[{"nodeName":"WholeStageCodegen (2)","simpleString":"WholeStageCodegen (2)","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(lesson_id#8)","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [lesson_id#8,title#10] Batched: false, DataFilters: [isnotnull(lesson_id#8)], Format: CSV, Location: 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{"Event":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":10,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":20,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"30\",\"name\":\"Exchange\"}","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},{"RDD ID":16,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"31\",\"name\":\"WholeStageCodegen (5)\"}","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 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Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784106890558,"Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0},"Properties":{"spark.driver.port":"44367","spark.submit.pyFiles":"","spark.app.startTime":"1784106873064","spark.rdd.scope":"{\"id\":\"30\",\"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":"1784106871979","spark.eventLog.dir":"file:/opt/spark-events","spark.hadoop.fs.s3a.aws.credentials.provider":"org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider","spark.sql.execution.id":"0","spark.sql.warehouse.dir":"file:/opt/airflow/spark-warehouse","spark.rdd.scope.noOverride":"true","spark.master":"spark://spark-master:7077","spark.hadoop.fs.s3a.secret.key":"*********(redacted)","spark.executor.id":"driver","spark.app.name":"dm_lesson_popularity_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-20260715131434-0083","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":10,"Stage Attempt ID":0,"Task Info":{"Task ID":5,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1784106890576,"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":10,"Stage Attempt ID":0,"Task Type":"ShuffleMapTask","Task End Reason":{"Reason":"Success"},"Task Info":{"Task ID":5,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1784106890576,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":1784106890676,"Failed":false,"Killed":false,"Accumulables":[{"ID":385,"Name":"local blocks read","Update":"1","Value":"2","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":388,"Name":"local bytes read","Update":"1282","Value":"2564","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":389,"Name":"fetch wait time","Update":"0","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":390,"Name":"records read","Update":"15","Value":"30","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":464,"Name":"data size","Update":"2032","Value":"2032","Internal":true,"Count Failed 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{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":10,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":20,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"30\",\"name\":\"Exchange\"}","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},{"RDD ID":16,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"31\",\"name\":\"WholeStageCodegen (5)\"}","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 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Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1784106890558,"Completion Time":1784106890680,"Accumulables":[{"ID":385,"Name":"local blocks read","Value":"2","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":388,"Name":"local bytes read","Value":"2564","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":389,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":390,"Name":"records read","Value":"30","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":464,"Name":"data size","Value":"2032","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":483,"Name":"shuffle bytes written","Value":"2361","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":484,"Name":"shuffle records written","Value":"15","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":485,"Name":"shuffle write time","Value":"1900122","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":486,"Name":"duration","Value":"89","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":487,"Name":"number of output rows","Value":"30","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":488,"Name":"number of 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Values":true},{"ID":537,"Name":"internal.metrics.resultSize","Value":8684,"Internal":true,"Count Failed Values":true},{"ID":542,"Name":"internal.metrics.peakExecutionMemory","Value":4458032,"Internal":true,"Count Failed Values":true},{"ID":544,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":545,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":546,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":547,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":548,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":1282,"Internal":true,"Count Failed Values":true},{"ID":549,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed 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{"Event":"SparkListenerJobEnd","Job ID":5,"Completion Time":1784106890682,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (50)\n+- == Final Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (30)\n   +- WriteFiles (29)\n      +- * Sort (28)\n         +- AQEShuffleRead (27)\n            +- ShuffleQueryStage (26), Statistics(sizeInBytes=2032.0 B, rowCount=15)\n               +- Exchange (25)\n                  +- * Project (24)\n                     +- * BroadcastHashJoin Inner BuildRight (23)\n                        :- * Project (18)\n                        :  +- * BroadcastHashJoin Inner BuildRight (17)\n                        :     :- * HashAggregate (12)\n                        :     :  +- AQEShuffleRead (11)\n                        :     :     +- ShuffleQueryStage (10), Statistics(sizeInBytes=840.0 B, rowCount=15)\n                        :     :        +- Exchange (9)\n                        :     :           +- * HashAggregate (8)\n                        :     :              +- * HashAggregate (7)\n                        :     :                 +- AQEShuffleRead (6)\n                        :     :                    +- ShuffleQueryStage (5), Statistics(sizeInBytes=3.0 KiB, rowCount=55)\n                        :     :                       +- Exchange (4)\n                        :     :                          +- * HashAggregate (3)\n                        :     :                             +- * Filter (2)\n                        :     :                                +- Scan csv  (1)\n                        :     +- BroadcastQueryStage (16), Statistics(sizeInBytes=1024.1 KiB, rowCount=18)\n                        :        +- BroadcastExchange (15)\n                        :           +- * Filter (14)\n                        :              +- Scan csv  (13)\n                        +- BroadcastQueryStage (22), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                           +- BroadcastExchange (21)\n                              +- * Filter (20)\n                                 +- Scan csv  (19)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (49)\n   +- WriteFiles (48)\n      +- Sort (47)\n         +- Exchange (46)\n            +- Project (45)\n               +- BroadcastHashJoin Inner BuildRight (44)\n                  :- Project (41)\n                  :  +- BroadcastHashJoin Inner BuildRight (40)\n                  :     :- HashAggregate (37)\n                  :     :  +- Exchange (36)\n                  :     :     +- HashAggregate (35)\n                  :     :        +- HashAggregate (34)\n                  :     :           +- Exchange (33)\n                  :     :              +- HashAggregate (32)\n                  :     :                 +- Filter (31)\n                  :     :                    +- Scan csv  (1)\n                  :     +- BroadcastExchange (39)\n                  :        +- Filter (38)\n                  :           +- Scan csv  (13)\n                  +- BroadcastExchange (43)\n                     +- Filter (42)\n                        +- Scan csv  (19)\n\n\n(1) Scan csv \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/fact_lesson_views.csv]\nPushedFilters: [IsNotNull(lesson_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>\n\n(2) Filter [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(3) HashAggregate [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(4) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=132]\n\n(5) ShuffleQueryStage\nOutput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: 0\n\n(6) AQEShuffleRead\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: coalesced\n\n(7) HashAggregate [codegen id : 4]\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(8) HashAggregate [codegen id : 4]\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(9) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=230]\n\n(10) ShuffleQueryStage\nOutput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: 3\n\n(11) AQEShuffleRead\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: coalesced\n\n(12) HashAggregate [codegen id : 5]\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(13) Scan csv \nOutput [2]: [lesson_id#8, title#10]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_lesson.csv]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:int,title:string>\n\n(14) Filter [codegen id : 2]\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(15) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=149]\n\n(16) BroadcastQueryStage\nOutput [2]: [lesson_id#8, title#10]\nArguments: 1\n\n(17) BroadcastHashJoin [codegen id : 5]\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(18) Project [codegen id : 5]\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(19) Scan csv \nOutput [2]: [course_id#18, title#19]\nBatched: false\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_course.csv]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:int,title:string>\n\n(20) Filter [codegen id : 3]\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(21) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=161]\n\n(22) BroadcastQueryStage\nOutput [2]: [course_id#18, title#19]\nArguments: 2\n\n(23) BroadcastHashJoin [codegen id : 5]\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(24) Project [codegen id : 5]\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(25) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=338]\n\n(26) ShuffleQueryStage\nOutput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: 4\n\n(27) AQEShuffleRead\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: coalesced\n\n(28) Sort [codegen id : 6]\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(29) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(30) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(31) Filter\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(32) HashAggregate\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(33) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=76]\n\n(34) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(35) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(36) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=80]\n\n(37) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(38) Filter\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(39) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=83]\n\n(40) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(41) Project\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(42) Filter\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(43) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=87]\n\n(44) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(45) Project\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(46) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=91]\n\n(47) Sort\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(48) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(49) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(50) 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_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"WholeStageCodegen (6)","simpleString":"WholeStageCodegen (6)","children":[{"nodeName":"Sort","simpleString":"Sort [lesson_id#1 ASC NULLS FIRST], true, 0","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 4","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=338]","children":[{"nodeName":"WholeStageCodegen (5)","simpleString":"WholeStageCodegen (5)","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#2], [course_id#18], Inner, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [lesson_id#1], [lesson_id#8], Inner, BuildRight, false","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2], functions=[count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)])","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 3","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=230]","children":[{"nodeName":"WholeStageCodegen (4)","simpleString":"WholeStageCodegen (4)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2], functions=[merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2, user_id#0], functions=[merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)])","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=132]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2, user_id#0], functions=[partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)])","children":[{"nodeName":"Filter","simpleString":"Filter (isnotnull(lesson_id#1) AND isnotnull(course_id#2))","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan csv ","simpleString":"FileScan csv [user_id#0,lesson_id#1,course_id#2,viewed_at#3] Batched: false, DataFilters: [isnotnull(lesson_id#1), isnotnull(course_id#2)], Format: CSV, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/fact_lesson_views.csv], PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id), IsNotNull(course_id)], ReadSchema: struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/fact_lesson_views.csv]","ReadSchema":"struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>","Format":"CSV","Batched":"false","PartitionFilters":"[]","PushedFilters":"[IsNotNull(lesson_id), IsNotNull(course_id)]","DataFilters":"[isnotnull(lesson_id#1), isnotnull(course_id#2)]"},"metrics":[{"name":"number of output rows","accumulatorId":103,"metricType":"sum"},{"name":"number of files read","accumulatorId":104,"metricType":"sum"},{"name":"metadata time","accumulatorId":105,"metricType":"timing"},{"name":"size of files read","accumulatorId":106,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":223,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":219,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":220,"metricType":"timing"},{"name":"peak memory","accumulatorId":218,"metricType":"size"},{"name":"number of output rows","accumulatorId":217,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":222,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":221,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":216,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":214,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":208,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":215,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":209,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":206,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":203,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":212,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":205,"metricType":"sum"},{"name":"records read","accumulatorId":202,"metricType":"sum"},{"name":"local bytes read","accumulatorId":200,"metricType":"size"},{"name":"fetch wait time","accumulatorId":201,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":198,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":204,"metricType":"sum"},{"name":"local blocks read","accumulatorId":197,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":207,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":196,"metricType":"sum"},{"name":"data size","accumulatorId":194,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":210,"metricType":"size"},{"name":"number of partitions","accumulatorId":195,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":211,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":199,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":213,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of partitions","accumulatorId":417,"metricType":"sum"},{"name":"partition data size","accumulatorId":418,"metricType":"size"},{"name":"number of coalesced partitions","accumulatorId":419,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":413,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":414,"metricType":"timing"},{"name":"peak memory","accumulatorId":412,"metricType":"size"},{"name":"number of output rows","accumulatorId":411,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":416,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":415,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":407,"metricType":"size"},{"name":"time in aggregation 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