{"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":43371},"Maximum Memory":455501414,"Timestamp":1782900368734,"Maximum Onheap Memory":455501414,"Maximum Offheap Memory":0}
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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)","physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (29)\n+- Execute InsertIntoHadoopFsRelationCommand (28)\n   +- WriteFiles (27)\n      +- Project (26)\n         +- BroadcastNestedLoopJoin Cross BuildRight (25)\n            :- BroadcastNestedLoopJoin Cross BuildRight (16)\n            :  :- BroadcastNestedLoopJoin Cross BuildRight (10)\n            :  :  :- HashAggregate (4)\n            :  :  :  +- Exchange (3)\n            :  :  :     +- HashAggregate (2)\n            :  :  :        +- Scan parquet  (1)\n            :  :  +- BroadcastExchange (9)\n            :  :     +- HashAggregate (8)\n            :  :        +- Exchange (7)\n            :  :           +- HashAggregate (6)\n            :  :              +- Scan parquet  (5)\n            :  +- BroadcastExchange (15)\n            :     +- HashAggregate (14)\n            :        +- Exchange (13)\n            :           +- HashAggregate (12)\n            :              +- Scan parquet  (11)\n            +- BroadcastExchange (24)\n               +- HashAggregate (23)\n                  +- Exchange (22)\n                     +- HashAggregate (21)\n                        +- HashAggregate (20)\n                           +- Exchange (19)\n                              +- HashAggregate (18)\n                                 +- Scan parquet  (17)\n\n\n(1) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/users.parquet]\nReadSchema: struct<>\n\n(2) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#89L]\nResults [1]: [count#90L]\n\n(3) Exchange\nInput [1]: [count#90L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=74]\n\n(4) HashAggregate\nInput [1]: [count#90L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#36L]\nResults [1]: [count(1)#36L AS total_users#37L]\n\n(5) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<>\n\n(6) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#91L]\nResults [1]: [count#92L]\n\n(7) Exchange\nInput [1]: [count#92L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=76]\n\n(8) HashAggregate\nInput [1]: [count#92L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#39L]\nResults [1]: [count(1)#39L AS total_courses#40L]\n\n(9) BroadcastExchange\nInput [1]: [total_courses#40L]\nArguments: IdentityBroadcastMode, [plan_id=79]\n\n(10) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(11) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nReadSchema: struct<>\n\n(12) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#93L]\nResults [1]: [count#94L]\n\n(13) Exchange\nInput [1]: [count#94L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=81]\n\n(14) HashAggregate\nInput [1]: [count#94L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#42L]\nResults [1]: [count(1)#42L AS total_lessons#43L]\n\n(15) BroadcastExchange\nInput [1]: [total_lessons#43L]\nArguments: IdentityBroadcastMode, [plan_id=84]\n\n(16) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(17) Scan parquet \nOutput [1]: [user_id#29L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nReadSchema: struct<user_id:bigint>\n\n(18) HashAggregate\nInput [1]: [user_id#29L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(19) Exchange\nInput [2]: [user_id#29L, count#96L]\nArguments: hashpartitioning(user_id#29L, 200), ENSURE_REQUIREMENTS, [plan_id=86]\n\n(20) HashAggregate\nInput [2]: [user_id#29L, count#96L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [merge_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(21) HashAggregate\nInput [2]: [user_id#29L, count#96L]\nKeys: []\nFunctions [2]: [merge_count(1), partial_count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count#96L, count#99L]\n\n(22) Exchange\nInput [2]: [count#96L, count#99L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=90]\n\n(23) HashAggregate\nInput [2]: [count#96L, count#99L]\nKeys: []\nFunctions [2]: [count(1), count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count(1)#45L AS total_views#46L, count(user_id#29L)#48L AS users_with_views#47L]\n\n(24) BroadcastExchange\nInput [2]: [total_views#46L, users_with_views#47L]\nArguments: IdentityBroadcastMode, [plan_id=93]\n\n(25) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(26) Project\nOutput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, CASE WHEN NOT (total_courses#40L = 0) THEN round((cast(total_lessons#43L as double) / cast(total_courses#40L as double)), 2) END AS avg_lessons_per_course#62, CASE WHEN NOT (total_lessons#43L = 0) THEN round((cast(total_views#46L as double) / cast(total_lessons#43L as double)), 2) END AS avg_views_per_lesson#69]\nInput [5]: [total_users#37L, total_courses#40L, total_lessons#43L, total_views#46L, users_with_views#47L]\n\n(27) WriteFiles\nInput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, avg_lessons_per_course#62, avg_views_per_lesson#69]\n\n(28) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, avg_views_per_lesson]\n\n(29) 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/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, avg_views_per_lesson]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Project","simpleString":"Project [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, CASE WHEN NOT (total_courses#40L = 0) THEN round((cast(total_lessons#43L as double) / cast(total_courses#40L as double)), 2) END AS avg_lessons_per_course#62, CASE WHEN NOT (total_lessons#43L = 0) THEN round((cast(total_views#46L as double) / cast(total_lessons#43L as double)), 2) END AS avg_views_per_lesson#69]","children":[{"nodeName":"BroadcastNestedLoopJoin","simpleString":"BroadcastNestedLoopJoin BuildRight, 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count","accumulatorId":298,"metricType":"sum"},{"name":"local blocks read","accumulatorId":291,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":301,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":290,"metricType":"sum"},{"name":"data size","accumulatorId":288,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":304,"metricType":"size"},{"name":"number of partitions","accumulatorId":289,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":305,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":293,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":307,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":284,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":285,"metricType":"timing"},{"name":"peak memory","accumulatorId":283,"metricType":"size"},{"name":"number of output rows","accumulatorId":282,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":287,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":286,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":281,"metricType":"timing"},{"name":"time to build","accumulatorId":280,"metricType":"timing"},{"name":"time to collect","accumulatorId":279,"metricType":"timing"},{"name":"number of output rows","accumulatorId":278,"metricType":"sum"},{"name":"data size","accumulatorId":277,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":147,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"task commit time","accumulatorId":145,"metricType":"timing"},{"name":"number of written files","accumulatorId":141,"metricType":"sum"},{"name":"job commit time","accumulatorId":146,"metricType":"timing"},{"name":"number of output rows","accumulatorId":143,"metricType":"sum"},{"name":"number of dynamic part","accumulatorId":144,"metricType":"sum"},{"name":"written output","accumulatorId":142,"metricType":"size"}]}],"metadata":{},"metrics":[]},"time":1782900471239,"modifiedConfigs":{},"jobTags":[]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (61)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (36)\n   +- WriteFiles (35)\n      +- Project (34)\n         +- BroadcastNestedLoopJoin Cross BuildRight (33)\n            :- BroadcastNestedLoopJoin Cross BuildRight (22)\n            :  :- BroadcastNestedLoopJoin Cross BuildRight (14)\n            :  :  :- HashAggregate (6)\n            :  :  :  +- ShuffleQueryStage (5)\n            :  :  :     +- Exchange (4)\n            :  :  :        +- * HashAggregate (3)\n            :  :  :           +- * ColumnarToRow (2)\n            :  :  :              +- Scan parquet  (1)\n            :  :  +- BroadcastExchange (13)\n            :  :     +- HashAggregate (12)\n            :  :        +- ShuffleQueryStage (11)\n            :  :           +- Exchange (10)\n            :  :              +- * HashAggregate (9)\n            :  :                 +- * ColumnarToRow (8)\n            :  :                    +- Scan parquet  (7)\n            :  +- BroadcastExchange (21)\n            :     +- HashAggregate (20)\n            :        +- ShuffleQueryStage (19)\n            :           +- Exchange (18)\n            :              +- * HashAggregate (17)\n            :                 +- * ColumnarToRow (16)\n            :                    +- Scan parquet  (15)\n            +- BroadcastExchange (32)\n               +- HashAggregate (31)\n                  +- Exchange (30)\n                     +- HashAggregate (29)\n                        +- HashAggregate (28)\n                           +- ShuffleQueryStage (27)\n                              +- Exchange (26)\n                                 +- * HashAggregate (25)\n                                    +- * ColumnarToRow (24)\n                                       +- Scan parquet  (23)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (60)\n   +- WriteFiles (59)\n      +- Project (58)\n         +- BroadcastNestedLoopJoin Cross BuildRight (57)\n            :- BroadcastNestedLoopJoin Cross BuildRight (49)\n            :  :- BroadcastNestedLoopJoin Cross BuildRight (44)\n            :  :  :- HashAggregate (39)\n            :  :  :  +- Exchange (38)\n            :  :  :     +- HashAggregate (37)\n            :  :  :        +- Scan parquet  (1)\n            :  :  +- BroadcastExchange (43)\n            :  :     +- HashAggregate (42)\n            :  :        +- Exchange (41)\n            :  :           +- HashAggregate (40)\n            :  :              +- Scan parquet  (7)\n            :  +- BroadcastExchange (48)\n            :     +- HashAggregate (47)\n            :        +- Exchange (46)\n            :           +- HashAggregate (45)\n            :              +- Scan parquet  (15)\n            +- BroadcastExchange (56)\n               +- HashAggregate (55)\n                  +- Exchange (54)\n                     +- HashAggregate (53)\n                        +- HashAggregate (52)\n                           +- Exchange (51)\n                              +- HashAggregate (50)\n                                 +- Scan parquet  (23)\n\n\n(1) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/users.parquet]\nReadSchema: struct<>\n\n(2) ColumnarToRow [codegen id : 1]\nInput: []\n\n(3) HashAggregate [codegen id : 1]\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#89L]\nResults [1]: [count#90L]\n\n(4) Exchange\nInput [1]: [count#90L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=108]\n\n(5) ShuffleQueryStage\nOutput [1]: [count#90L]\nArguments: 0\n\n(6) HashAggregate\nInput [1]: [count#90L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#36L]\nResults [1]: [count(1)#36L AS total_users#37L]\n\n(7) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<>\n\n(8) ColumnarToRow [codegen id : 2]\nInput: []\n\n(9) HashAggregate [codegen id : 2]\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#91L]\nResults [1]: [count#92L]\n\n(10) Exchange\nInput [1]: [count#92L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=129]\n\n(11) ShuffleQueryStage\nOutput [1]: [count#92L]\nArguments: 1\n\n(12) HashAggregate\nInput [1]: [count#92L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#39L]\nResults [1]: [count(1)#39L AS total_courses#40L]\n\n(13) BroadcastExchange\nInput [1]: [total_courses#40L]\nArguments: IdentityBroadcastMode, [plan_id=137]\n\n(14) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(15) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nReadSchema: struct<>\n\n(16) ColumnarToRow [codegen id : 3]\nInput: []\n\n(17) HashAggregate [codegen id : 3]\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#93L]\nResults [1]: [count#94L]\n\n(18) Exchange\nInput [1]: [count#94L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=152]\n\n(19) ShuffleQueryStage\nOutput [1]: [count#94L]\nArguments: 2\n\n(20) HashAggregate\nInput [1]: [count#94L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#42L]\nResults [1]: [count(1)#42L AS total_lessons#43L]\n\n(21) BroadcastExchange\nInput [1]: [total_lessons#43L]\nArguments: IdentityBroadcastMode, [plan_id=160]\n\n(22) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(23) Scan parquet \nOutput [1]: [user_id#29L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nReadSchema: struct<user_id:bigint>\n\n(24) ColumnarToRow [codegen id : 4]\nInput [1]: [user_id#29L]\n\n(25) HashAggregate [codegen id : 4]\nInput [1]: [user_id#29L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(26) Exchange\nInput [2]: [user_id#29L, count#96L]\nArguments: hashpartitioning(user_id#29L, 200), ENSURE_REQUIREMENTS, [plan_id=182]\n\n(27) ShuffleQueryStage\nOutput [2]: [user_id#29L, count#96L]\nArguments: 3\n\n(28) HashAggregate\nInput [2]: [user_id#29L, count#96L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [merge_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(29) HashAggregate\nInput [2]: [user_id#29L, count#96L]\nKeys: []\nFunctions [2]: [merge_count(1), partial_count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count#96L, count#99L]\n\n(30) Exchange\nInput [2]: [count#96L, count#99L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=193]\n\n(31) HashAggregate\nInput [2]: [count#96L, count#99L]\nKeys: []\nFunctions [2]: [count(1), count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count(1)#45L AS total_views#46L, count(user_id#29L)#48L AS users_with_views#47L]\n\n(32) BroadcastExchange\nInput [2]: [total_views#46L, users_with_views#47L]\nArguments: IdentityBroadcastMode, [plan_id=195]\n\n(33) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(34) Project\nOutput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, CASE WHEN NOT (total_courses#40L = 0) THEN round((cast(total_lessons#43L as double) / cast(total_courses#40L as double)), 2) END AS avg_lessons_per_course#62, CASE WHEN NOT (total_lessons#43L = 0) THEN round((cast(total_views#46L as double) / cast(total_lessons#43L as double)), 2) END AS avg_views_per_lesson#69]\nInput [5]: [total_users#37L, total_courses#40L, total_lessons#43L, total_views#46L, users_with_views#47L]\n\n(35) WriteFiles\nInput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, avg_lessons_per_course#62, avg_views_per_lesson#69]\n\n(36) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, avg_views_per_lesson]\n\n(37) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#89L]\nResults [1]: [count#90L]\n\n(38) Exchange\nInput [1]: [count#90L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=74]\n\n(39) HashAggregate\nInput [1]: [count#90L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#36L]\nResults [1]: [count(1)#36L AS total_users#37L]\n\n(40) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#91L]\nResults [1]: [count#92L]\n\n(41) Exchange\nInput [1]: [count#92L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=76]\n\n(42) HashAggregate\nInput [1]: [count#92L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#39L]\nResults [1]: [count(1)#39L AS total_courses#40L]\n\n(43) BroadcastExchange\nInput [1]: [total_courses#40L]\nArguments: IdentityBroadcastMode, [plan_id=79]\n\n(44) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(45) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#93L]\nResults [1]: [count#94L]\n\n(46) Exchange\nInput [1]: [count#94L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=81]\n\n(47) HashAggregate\nInput [1]: [count#94L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#42L]\nResults [1]: [count(1)#42L AS total_lessons#43L]\n\n(48) BroadcastExchange\nInput [1]: [total_lessons#43L]\nArguments: IdentityBroadcastMode, [plan_id=84]\n\n(49) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(50) HashAggregate\nInput [1]: [user_id#29L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(51) Exchange\nInput [2]: [user_id#29L, count#96L]\nArguments: hashpartitioning(user_id#29L, 200), ENSURE_REQUIREMENTS, [plan_id=86]\n\n(52) HashAggregate\nInput [2]: [user_id#29L, count#96L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [merge_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(53) HashAggregate\nInput [2]: [user_id#29L, count#96L]\nKeys: []\nFunctions [2]: [merge_count(1), partial_count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count#96L, count#99L]\n\n(54) Exchange\nInput [2]: [count#96L, count#99L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=90]\n\n(55) HashAggregate\nInput [2]: [count#96L, count#99L]\nKeys: []\nFunctions [2]: [count(1), count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count(1)#45L AS total_views#46L, count(user_id#29L)#48L AS users_with_views#47L]\n\n(56) BroadcastExchange\nInput [2]: [total_views#46L, users_with_views#47L]\nArguments: IdentityBroadcastMode, [plan_id=93]\n\n(57) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(58) Project\nOutput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, CASE WHEN NOT (total_courses#40L = 0) THEN round((cast(total_lessons#43L as double) / cast(total_courses#40L as double)), 2) END AS avg_lessons_per_course#62, CASE WHEN NOT (total_lessons#43L = 0) THEN round((cast(total_views#46L as double) / cast(total_lessons#43L as double)), 2) END AS avg_views_per_lesson#69]\nInput [5]: [total_users#37L, total_courses#40L, total_lessons#43L, total_views#46L, users_with_views#47L]\n\n(59) WriteFiles\nInput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, avg_lessons_per_course#62, avg_views_per_lesson#69]\n\n(60) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, avg_views_per_lesson]\n\n(61) 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/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, avg_views_per_lesson]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Project","simpleString":"Project [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, CASE WHEN NOT (total_courses#40L = 0) THEN round((cast(total_lessons#43L as double) / cast(total_courses#40L as double)), 2) END AS avg_lessons_per_course#62, CASE WHEN NOT (total_lessons#43L = 0) THEN round((cast(total_views#46L as double) / cast(total_lessons#43L as double)), 2) END AS avg_views_per_lesson#69]","children":[{"nodeName":"BroadcastNestedLoopJoin","simpleString":"BroadcastNestedLoopJoin BuildRight, Cross","children":[{"nodeName":"BroadcastNestedLoopJoin","simpleString":"BroadcastNestedLoopJoin BuildRight, Cross","children":[{"nodeName":"BroadcastNestedLoopJoin","simpleString":"BroadcastNestedLoopJoin BuildRight, Cross","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[], functions=[count(1)])","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 0","children":[{"nodeName":"Exchange","simpleString":"Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=108]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[], functions=[partial_count(1)])","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/users.parquet], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/users.parquet]","ReadSchema":"struct<>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[]","DataFilters":"[]"},"metrics":[{"name":"number of files read","accumulatorId":186,"metricType":"sum"},{"name":"scan time","accumulatorId":185,"metricType":"timing"},{"name":"metadata time","accumulatorId":187,"metricType":"timing"},{"name":"size of files read","accumulatorId":188,"metricType":"size"},{"name":"number of output rows","accumulatorId":184,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":393,"metricType":"sum"},{"name":"number of input batches","accumulatorId":394,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":389,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":390,"metricType":"timing"},{"name":"peak memory","accumulatorId":388,"metricType":"size"},{"name":"number of output rows","accumulatorId":387,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":392,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":391,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":386,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":384,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":378,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":385,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":379,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":376,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":373,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":382,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":375,"metricType":"sum"},{"name":"records read","accumulatorId":372,"metricType":"sum"},{"name":"local bytes read","accumulatorId":370,"metricType":"size"},{"name":"fetch wait time","accumulatorId":371,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":368,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":374,"metricType":"sum"},{"name":"local blocks read","accumulatorId":367,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":377,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":366,"metricType":"sum"},{"name":"data size","accumulatorId":364,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":380,"metricType":"size"},{"name":"number of partitions","accumulatorId":365,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":381,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":369,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":383,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":360,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":361,"metricType":"timing"},{"name":"peak memory","accumulatorId":359,"metricType":"size"},{"name":"number of output rows","accumulatorId":358,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":363,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":362,"metricType":"average"}]},{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange IdentityBroadcastMode, [plan_id=137]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[], functions=[count(1)])","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 1","children":[{"nodeName":"Exchange","simpleString":"Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=129]","children":[{"nodeName":"WholeStageCodegen 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{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[230,1],[231,0],[232,1707]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[407,1]]}
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{"Event":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":5,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":15,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"26\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[14],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":14,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"27\",\"name\":\"WholeStageCodegen (2)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[13],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory 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{"Event":"SparkListenerTaskStart","Stage ID":4,"Stage Attempt ID":0,"Task Info":{"Task ID":4,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1782900471551,"Executor ID":"0","Host":"172.28.0.49","Locality":"PROCESS_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":0,"Failed":false,"Killed":false,"Accumulables":[]}}
{"Event":"SparkListenerTaskStart","Stage ID":5,"Stage Attempt ID":0,"Task Info":{"Task ID":5,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1782900471576,"Executor ID":"0","Host":"172.28.0.49","Locality":"PROCESS_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":0,"Failed":false,"Killed":false,"Accumulables":[]}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[274,1],[275,0],[276,2295]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[449,1]]}
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{"Event":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":6,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":19,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"32\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[18],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":17,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"37\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[16],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk 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{"Event":"SparkListenerTaskStart","Stage ID":6,"Stage Attempt ID":0,"Task Info":{"Task ID":6,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1782900471606,"Executor ID":"0","Host":"172.28.0.49","Locality":"PROCESS_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":0,"Failed":false,"Killed":false,"Accumulables":[]}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[352,1],[353,0],[354,2242]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[525,200]]}
{"Event":"SparkListenerJobStart","Job ID":7,"Submission Time":1782900471718,"Stage Infos":[{"Stage ID":7,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":23,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"38\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[22],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":20,"Name":"FileScanRDD","Scope":"{\"id\":\"43\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached 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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":1782900471554,"Completion Time":1782900472257,"Accumulables":[{"ID":228,"Name":"number of output rows","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":229,"Name":"scan time","Value":"177","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":406,"Name":"data size","Value":"16","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":425,"Name":"shuffle bytes written","Value":"59","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":426,"Name":"shuffle records written","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":427,"Name":"shuffle write time","Value":"9609424","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":428,"Name":"duration","Value":"194","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":429,"Name":"number of output rows","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":432,"Name":"time in aggregation build","Value":"178","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":435,"Name":"number of output rows","Value":"5","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":436,"Name":"number of input batches","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":590,"Name":"internal.metrics.executorDeserializeTime","Value":237,"Internal":true,"Count Failed Values":true},{"ID":591,"Name":"internal.metrics.executorDeserializeCpuTime","Value":64797241,"Internal":true,"Count Failed Values":true},{"ID":592,"Name":"internal.metrics.executorRunTime","Value":415,"Internal":true,"Count Failed Values":true},{"ID":593,"Name":"internal.metrics.executorCpuTime","Value":181747766,"Internal":true,"Count Failed Values":true},{"ID":594,"Name":"internal.metrics.resultSize","Value":2173,"Internal":true,"Count Failed Values":true},{"ID":596,"Name":"internal.metrics.resultSerializationTime","Value":1,"Internal":true,"Count Failed Values":true},{"ID":618,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":59,"Internal":true,"Count Failed Values":true},{"ID":619,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":1,"Internal":true,"Count Failed Values":true},{"ID":620,"Name":"internal.metrics.shuffle.write.writeTime","Value":9609424,"Internal":true,"Count Failed Values":true},{"ID":621,"Name":"internal.metrics.input.bytesRead","Value":1079,"Internal":true,"Count Failed Values":true},{"ID":622,"Name":"internal.metrics.input.recordsRead","Value":5,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":5,"Completion Time":1782900472258,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (63)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (38)\n   +- WriteFiles (37)\n      +- Project (36)\n         +- BroadcastNestedLoopJoin Cross BuildRight (35)\n            :- BroadcastNestedLoopJoin Cross BuildRight (24)\n            :  :- BroadcastNestedLoopJoin Cross BuildRight (15)\n            :  :  :- HashAggregate (6)\n            :  :  :  +- ShuffleQueryStage (5), Statistics(sizeInBytes=16.0 B, rowCount=1)\n            :  :  :     +- Exchange (4)\n            :  :  :        +- * HashAggregate (3)\n            :  :  :           +- * ColumnarToRow (2)\n            :  :  :              +- Scan parquet  (1)\n            :  :  +- BroadcastQueryStage (14)\n            :  :     +- BroadcastExchange (13)\n            :  :        +- * HashAggregate (12)\n            :  :           +- ShuffleQueryStage (11), Statistics(sizeInBytes=16.0 B, rowCount=1)\n            :  :              +- Exchange (10)\n            :  :                 +- * HashAggregate (9)\n            :  :                    +- * ColumnarToRow (8)\n            :  :                       +- Scan parquet  (7)\n            :  +- BroadcastQueryStage (23)\n            :     +- BroadcastExchange (22)\n            :        +- * HashAggregate (21)\n            :           +- ShuffleQueryStage (20), Statistics(sizeInBytes=16.0 B, rowCount=1)\n            :              +- Exchange (19)\n            :                 +- * HashAggregate (18)\n            :                    +- * ColumnarToRow (17)\n            :                       +- Scan parquet  (16)\n            +- BroadcastExchange (34)\n               +- HashAggregate (33)\n                  +- Exchange (32)\n                     +- HashAggregate (31)\n                        +- HashAggregate (30)\n                           +- ShuffleQueryStage (29)\n                              +- Exchange (28)\n                                 +- * HashAggregate (27)\n                                    +- * ColumnarToRow (26)\n                                       +- Scan parquet  (25)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (62)\n   +- WriteFiles (61)\n      +- Project (60)\n         +- BroadcastNestedLoopJoin Cross BuildRight (59)\n            :- BroadcastNestedLoopJoin Cross BuildRight (51)\n            :  :- BroadcastNestedLoopJoin Cross BuildRight (46)\n            :  :  :- HashAggregate (41)\n            :  :  :  +- Exchange (40)\n            :  :  :     +- HashAggregate (39)\n            :  :  :        +- Scan parquet  (1)\n            :  :  +- BroadcastExchange (45)\n            :  :     +- HashAggregate (44)\n            :  :        +- Exchange (43)\n            :  :           +- HashAggregate (42)\n            :  :              +- Scan parquet  (7)\n            :  +- BroadcastExchange (50)\n            :     +- HashAggregate (49)\n            :        +- Exchange (48)\n            :           +- HashAggregate (47)\n            :              +- Scan parquet  (16)\n            +- BroadcastExchange (58)\n               +- HashAggregate (57)\n                  +- Exchange (56)\n                     +- HashAggregate (55)\n                        +- HashAggregate (54)\n                           +- Exchange (53)\n                              +- HashAggregate (52)\n                                 +- Scan parquet  (25)\n\n\n(1) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/users.parquet]\nReadSchema: struct<>\n\n(2) ColumnarToRow [codegen id : 1]\nInput: []\n\n(3) HashAggregate [codegen id : 1]\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#89L]\nResults [1]: [count#90L]\n\n(4) Exchange\nInput [1]: [count#90L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=108]\n\n(5) ShuffleQueryStage\nOutput [1]: [count#90L]\nArguments: 0\n\n(6) HashAggregate\nInput [1]: [count#90L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#36L]\nResults [1]: [count(1)#36L AS total_users#37L]\n\n(7) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<>\n\n(8) ColumnarToRow [codegen id : 2]\nInput: []\n\n(9) HashAggregate [codegen id : 2]\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#91L]\nResults [1]: [count#92L]\n\n(10) Exchange\nInput [1]: [count#92L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=129]\n\n(11) ShuffleQueryStage\nOutput [1]: [count#92L]\nArguments: 1\n\n(12) HashAggregate [codegen id : 5]\nInput [1]: [count#92L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#39L]\nResults [1]: [count(1)#39L AS total_courses#40L]\n\n(13) BroadcastExchange\nInput [1]: [total_courses#40L]\nArguments: IdentityBroadcastMode, [plan_id=289]\n\n(14) BroadcastQueryStage\nOutput [1]: [total_courses#40L]\nArguments: 4\n\n(15) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(16) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nReadSchema: struct<>\n\n(17) ColumnarToRow [codegen id : 3]\nInput: []\n\n(18) HashAggregate [codegen id : 3]\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#93L]\nResults [1]: [count#94L]\n\n(19) Exchange\nInput [1]: [count#94L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=152]\n\n(20) ShuffleQueryStage\nOutput [1]: [count#94L]\nArguments: 2\n\n(21) HashAggregate [codegen id : 6]\nInput [1]: [count#94L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#42L]\nResults [1]: [count(1)#42L AS total_lessons#43L]\n\n(22) BroadcastExchange\nInput [1]: [total_lessons#43L]\nArguments: IdentityBroadcastMode, [plan_id=300]\n\n(23) BroadcastQueryStage\nOutput [1]: [total_lessons#43L]\nArguments: 5\n\n(24) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(25) Scan parquet \nOutput [1]: [user_id#29L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nReadSchema: struct<user_id:bigint>\n\n(26) ColumnarToRow [codegen id : 4]\nInput [1]: [user_id#29L]\n\n(27) HashAggregate [codegen id : 4]\nInput [1]: [user_id#29L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(28) Exchange\nInput [2]: [user_id#29L, count#96L]\nArguments: hashpartitioning(user_id#29L, 200), ENSURE_REQUIREMENTS, [plan_id=182]\n\n(29) ShuffleQueryStage\nOutput [2]: [user_id#29L, count#96L]\nArguments: 3\n\n(30) HashAggregate\nInput [2]: [user_id#29L, count#96L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [merge_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(31) HashAggregate\nInput [2]: [user_id#29L, count#96L]\nKeys: []\nFunctions [2]: [merge_count(1), partial_count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count#96L, count#99L]\n\n(32) Exchange\nInput [2]: [count#96L, count#99L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=193]\n\n(33) HashAggregate\nInput [2]: [count#96L, count#99L]\nKeys: []\nFunctions [2]: [count(1), count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count(1)#45L AS total_views#46L, count(user_id#29L)#48L AS users_with_views#47L]\n\n(34) BroadcastExchange\nInput [2]: [total_views#46L, users_with_views#47L]\nArguments: IdentityBroadcastMode, [plan_id=231]\n\n(35) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(36) Project\nOutput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, CASE WHEN NOT (total_courses#40L = 0) THEN round((cast(total_lessons#43L as double) / cast(total_courses#40L as double)), 2) END AS avg_lessons_per_course#62, CASE WHEN NOT (total_lessons#43L = 0) THEN round((cast(total_views#46L as double) / cast(total_lessons#43L as double)), 2) END AS avg_views_per_lesson#69]\nInput [5]: [total_users#37L, total_courses#40L, total_lessons#43L, total_views#46L, users_with_views#47L]\n\n(37) WriteFiles\nInput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, avg_lessons_per_course#62, avg_views_per_lesson#69]\n\n(38) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, avg_views_per_lesson]\n\n(39) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#89L]\nResults [1]: [count#90L]\n\n(40) Exchange\nInput [1]: [count#90L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=74]\n\n(41) HashAggregate\nInput [1]: [count#90L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#36L]\nResults [1]: [count(1)#36L AS total_users#37L]\n\n(42) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#91L]\nResults [1]: [count#92L]\n\n(43) Exchange\nInput [1]: [count#92L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=76]\n\n(44) HashAggregate\nInput [1]: [count#92L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#39L]\nResults [1]: [count(1)#39L AS total_courses#40L]\n\n(45) BroadcastExchange\nInput [1]: [total_courses#40L]\nArguments: IdentityBroadcastMode, [plan_id=79]\n\n(46) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(47) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#93L]\nResults [1]: [count#94L]\n\n(48) Exchange\nInput [1]: [count#94L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=81]\n\n(49) HashAggregate\nInput [1]: [count#94L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#42L]\nResults [1]: [count(1)#42L AS total_lessons#43L]\n\n(50) BroadcastExchange\nInput [1]: [total_lessons#43L]\nArguments: IdentityBroadcastMode, [plan_id=84]\n\n(51) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(52) HashAggregate\nInput [1]: [user_id#29L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(53) Exchange\nInput [2]: [user_id#29L, count#96L]\nArguments: hashpartitioning(user_id#29L, 200), ENSURE_REQUIREMENTS, [plan_id=86]\n\n(54) HashAggregate\nInput [2]: [user_id#29L, count#96L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [merge_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(55) HashAggregate\nInput [2]: [user_id#29L, count#96L]\nKeys: []\nFunctions [2]: [merge_count(1), partial_count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count#96L, count#99L]\n\n(56) Exchange\nInput [2]: [count#96L, count#99L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=90]\n\n(57) HashAggregate\nInput [2]: [count#96L, count#99L]\nKeys: []\nFunctions [2]: [count(1), count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count(1)#45L AS total_views#46L, count(user_id#29L)#48L AS users_with_views#47L]\n\n(58) BroadcastExchange\nInput [2]: [total_views#46L, users_with_views#47L]\nArguments: IdentityBroadcastMode, [plan_id=93]\n\n(59) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(60) Project\nOutput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, CASE WHEN NOT (total_courses#40L = 0) THEN round((cast(total_lessons#43L as double) / cast(total_courses#40L as double)), 2) END AS avg_lessons_per_course#62, CASE WHEN NOT (total_lessons#43L = 0) THEN round((cast(total_views#46L as double) / cast(total_lessons#43L as double)), 2) END AS avg_views_per_lesson#69]\nInput [5]: [total_users#37L, total_courses#40L, total_lessons#43L, total_views#46L, users_with_views#47L]\n\n(61) WriteFiles\nInput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, avg_lessons_per_course#62, avg_views_per_lesson#69]\n\n(62) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, avg_views_per_lesson]\n\n(63) 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/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, avg_views_per_lesson]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Project","simpleString":"Project [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, CASE WHEN NOT (total_courses#40L = 0) THEN round((cast(total_lessons#43L as double) / cast(total_courses#40L as double)), 2) END AS avg_lessons_per_course#62, CASE WHEN NOT (total_lessons#43L = 0) THEN round((cast(total_views#46L as double) / cast(total_lessons#43L as double)), 2) END AS avg_views_per_lesson#69]","children":[{"nodeName":"BroadcastNestedLoopJoin","simpleString":"BroadcastNestedLoopJoin BuildRight, Cross","children":[{"nodeName":"BroadcastNestedLoopJoin","simpleString":"BroadcastNestedLoopJoin BuildRight, Cross","children":[{"nodeName":"BroadcastNestedLoopJoin","simpleString":"BroadcastNestedLoopJoin BuildRight, Cross","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[], functions=[count(1)])","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 0","children":[{"nodeName":"Exchange","simpleString":"Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=108]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[], functions=[partial_count(1)])","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/users.parquet], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/users.parquet]","ReadSchema":"struct<>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[]","DataFilters":"[]"},"metrics":[{"name":"number of files read","accumulatorId":186,"metricType":"sum"},{"name":"scan time","accumulatorId":185,"metricType":"timing"},{"name":"metadata time","accumulatorId":187,"metricType":"timing"},{"name":"size of files read","accumulatorId":188,"metricType":"size"},{"name":"number of output rows","accumulatorId":184,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":393,"metricType":"sum"},{"name":"number of input batches","accumulatorId":394,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":389,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":390,"metricType":"timing"},{"name":"peak memory","accumulatorId":388,"metricType":"size"},{"name":"number of output rows","accumulatorId":387,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":392,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":391,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":386,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":384,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":378,"metricType":"sum"},{"name":"shuffle 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--add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}}
{"Event":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":9,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":28,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"45\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[26],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":24,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"53\",\"name\":\"Exchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[19],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of 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-Djdk.reflect.useDirectMethodHandle=false","spark.sql.execution.root.id":"0","spark.hadoop.fs.s3a.connection.ssl.enabled":"false","spark.serializer.objectStreamReset":"100","spark.driver.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}}
{"Event":"SparkListenerJobStart","Job ID":9,"Submission Time":1782900472365,"Stage Infos":[{"Stage ID":10,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":15,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"26\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[14],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":14,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"27\",\"name\":\"WholeStageCodegen (2)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[13],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":13,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"31\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[12],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":12,"Name":"FileScanRDD","Scope":"{\"id\":\"31\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[],"Details":"org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:792)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0},{"Stage ID":11,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":29,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"44\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[27],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":27,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"46\",\"name\":\"WholeStageCodegen (5)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[25],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":25,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"55\",\"name\":\"Exchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[15],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[10],"Details":"org.apache.spark.sql.execution.SQLExecution$.$anonfun$withThreadLocalCaptured$1(SQLExecution.scala:219)\njava.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)\njava.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)\njava.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)\njava.base/java.lang.Thread.run(Thread.java:840)","Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}],"Stage IDs":[10,11],"Properties":{"spark.driver.port":"32981","spark.submit.pyFiles":"","spark.app.startTime":"1782900367416","spark.rdd.scope":"{\"id\":\"44\",\"name\":\"BroadcastExchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.app.submitTime":"1782900366299","spark.eventLog.dir":"file:/opt/spark-events","spark.sql.execution.id":"0","spark.sql.warehouse.dir":"file:/opt/airflow/spark-warehouse","spark.rdd.scope.noOverride":"true","spark.master":"spark://spark-master:7077","spark.job.interruptOnCancel":"true","spark.hadoop.fs.s3a.secret.key":"*********(redacted)","spark.executor.id":"driver","spark.app.name":"dm_platform_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-20260701140608-0026","spark.eventLog.compress":"true","spark.eventLog.enabled":"true","spark.job.tags":"broadcast exchange (runId 3b3b8698-5af9-49fc-aa1f-5ed1aaa1b7a9)","__fetch_continuous_blocks_in_batch_enabled":"true","spark.executor.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false","spark.sql.execution.root.id":"0","spark.hadoop.fs.s3a.connection.ssl.enabled":"false","spark.serializer.objectStreamReset":"100","spark.driver.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}}
{"Event":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":11,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":29,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"44\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[27],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":27,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"46\",\"name\":\"WholeStageCodegen (5)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[25],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of 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Count":0},"Properties":{"spark.driver.port":"32981","spark.submit.pyFiles":"","spark.app.startTime":"1782900367416","spark.rdd.scope":"{\"id\":\"44\",\"name\":\"BroadcastExchange\"}","spark.hadoop.fs.s3a.endpoint":"http://minio:9000","spark.rdd.compress":"True","spark.app.submitTime":"1782900366299","spark.eventLog.dir":"file:/opt/spark-events","spark.sql.execution.id":"0","spark.sql.warehouse.dir":"file:/opt/airflow/spark-warehouse","spark.rdd.scope.noOverride":"true","spark.master":"spark://spark-master:7077","spark.job.interruptOnCancel":"true","spark.hadoop.fs.s3a.secret.key":"*********(redacted)","spark.executor.id":"driver","spark.app.name":"dm_platform_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-20260701140608-0026","spark.eventLog.compress":"true","spark.eventLog.enabled":"true","spark.job.tags":"broadcast exchange (runId 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--add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}}
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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":8500227,"Executor Run Time":70,"Executor CPU Time":48390794,"Peak Execution Memory":0,"Result Size":4038,"JVM GC Time":0,"Result Serialization Time":2,"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":59,"Total Records Read":1,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":0,"Shuffle Write Time":0,"Shuffle Records Written":0},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":11,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":29,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"44\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[27],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":27,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"46\",\"name\":\"WholeStageCodegen (5)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[25],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":25,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"55\",\"name\":\"Exchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[15],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[10],"Details":"org.apache.spark.sql.execution.SQLExecution$.$anonfun$withThreadLocalCaptured$1(SQLExecution.scala:219)\njava.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)\njava.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)\njava.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)\njava.base/java.lang.Thread.run(Thread.java:840)","Submission Time":1782900472377,"Completion Time":1782900472543,"Accumulables":[{"ID":409,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":412,"Name":"local bytes read","Value":"59","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":413,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":414,"Name":"records read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":709,"Name":"duration","Value":"8","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":710,"Name":"number of output rows","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":713,"Name":"time in aggregation build","Value":"7","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":768,"Name":"internal.metrics.executorDeserializeTime","Value":55,"Internal":true,"Count Failed Values":true},{"ID":769,"Name":"internal.metrics.executorDeserializeCpuTime","Value":8500227,"Internal":true,"Count Failed Values":true},{"ID":770,"Name":"internal.metrics.executorRunTime","Value":70,"Internal":true,"Count Failed Values":true},{"ID":771,"Name":"internal.metrics.executorCpuTime","Value":48390794,"Internal":true,"Count Failed Values":true},{"ID":772,"Name":"internal.metrics.resultSize","Value":4038,"Internal":true,"Count Failed Values":true},{"ID":774,"Name":"internal.metrics.resultSerializationTime","Value":2,"Internal":true,"Count Failed Values":true},{"ID":779,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":780,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":781,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":782,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":783,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":59,"Internal":true,"Count Failed Values":true},{"ID":784,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":785,"Name":"internal.metrics.shuffle.read.recordsRead","Value":1,"Internal":true,"Count Failed Values":true},{"ID":786,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":787,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":788,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":789,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":790,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":791,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":792,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":793,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":794,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":795,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":9,"Completion Time":1782900472543,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[720,15],[719,3],[718,246],[717,1],[716,16]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[708,24],[707,3],[706,246],[705,1],[704,16]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (65)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (40)\n   +- WriteFiles (39)\n      +- Project (38)\n         +- BroadcastNestedLoopJoin Cross BuildRight (37)\n            :- BroadcastNestedLoopJoin Cross BuildRight (24)\n            :  :- BroadcastNestedLoopJoin Cross BuildRight (15)\n            :  :  :- HashAggregate (6)\n            :  :  :  +- ShuffleQueryStage (5), Statistics(sizeInBytes=16.0 B, rowCount=1)\n            :  :  :     +- Exchange (4)\n            :  :  :        +- * HashAggregate (3)\n            :  :  :           +- * ColumnarToRow (2)\n            :  :  :              +- Scan parquet  (1)\n            :  :  +- BroadcastQueryStage (14)\n            :  :     +- BroadcastExchange (13)\n            :  :        +- * HashAggregate (12)\n            :  :           +- ShuffleQueryStage (11), Statistics(sizeInBytes=16.0 B, rowCount=1)\n            :  :              +- Exchange (10)\n            :  :                 +- * HashAggregate (9)\n            :  :                    +- * ColumnarToRow (8)\n            :  :                       +- Scan parquet  (7)\n            :  +- BroadcastQueryStage (23)\n            :     +- BroadcastExchange (22)\n            :        +- * HashAggregate (21)\n            :           +- ShuffleQueryStage (20), Statistics(sizeInBytes=16.0 B, rowCount=1)\n            :              +- Exchange (19)\n            :                 +- * HashAggregate (18)\n            :                    +- * ColumnarToRow (17)\n            :                       +- Scan parquet  (16)\n            +- BroadcastExchange (36)\n               +- HashAggregate (35)\n                  +- ShuffleQueryStage (34)\n                     +- Exchange (33)\n                        +- * HashAggregate (32)\n                           +- * HashAggregate (31)\n                              +- AQEShuffleRead (30)\n                                 +- ShuffleQueryStage (29), Statistics(sizeInBytes=264.0 B, rowCount=11)\n                                    +- Exchange (28)\n                                       +- * HashAggregate (27)\n                                          +- * ColumnarToRow (26)\n                                             +- Scan parquet  (25)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (64)\n   +- WriteFiles (63)\n      +- Project (62)\n         +- BroadcastNestedLoopJoin Cross BuildRight (61)\n            :- BroadcastNestedLoopJoin Cross BuildRight (53)\n            :  :- BroadcastNestedLoopJoin Cross BuildRight (48)\n            :  :  :- HashAggregate (43)\n            :  :  :  +- Exchange (42)\n            :  :  :     +- HashAggregate (41)\n            :  :  :        +- Scan parquet  (1)\n            :  :  +- BroadcastExchange (47)\n            :  :     +- HashAggregate (46)\n            :  :        +- Exchange (45)\n            :  :           +- HashAggregate (44)\n            :  :              +- Scan parquet  (7)\n            :  +- BroadcastExchange (52)\n            :     +- HashAggregate (51)\n            :        +- Exchange (50)\n            :           +- HashAggregate (49)\n            :              +- Scan parquet  (16)\n            +- BroadcastExchange (60)\n               +- HashAggregate (59)\n                  +- Exchange (58)\n                     +- HashAggregate (57)\n                        +- HashAggregate (56)\n                           +- Exchange (55)\n                              +- HashAggregate (54)\n                                 +- Scan parquet  (25)\n\n\n(1) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/users.parquet]\nReadSchema: struct<>\n\n(2) ColumnarToRow [codegen id : 1]\nInput: []\n\n(3) HashAggregate [codegen id : 1]\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#89L]\nResults [1]: [count#90L]\n\n(4) Exchange\nInput [1]: [count#90L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=108]\n\n(5) ShuffleQueryStage\nOutput [1]: [count#90L]\nArguments: 0\n\n(6) HashAggregate\nInput [1]: [count#90L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#36L]\nResults [1]: [count(1)#36L AS total_users#37L]\n\n(7) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<>\n\n(8) ColumnarToRow [codegen id : 2]\nInput: []\n\n(9) HashAggregate [codegen id : 2]\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#91L]\nResults [1]: [count#92L]\n\n(10) Exchange\nInput [1]: [count#92L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=129]\n\n(11) ShuffleQueryStage\nOutput [1]: [count#92L]\nArguments: 1\n\n(12) HashAggregate [codegen id : 5]\nInput [1]: [count#92L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#39L]\nResults [1]: [count(1)#39L AS total_courses#40L]\n\n(13) BroadcastExchange\nInput [1]: [total_courses#40L]\nArguments: IdentityBroadcastMode, [plan_id=289]\n\n(14) BroadcastQueryStage\nOutput [1]: [total_courses#40L]\nArguments: 4\n\n(15) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(16) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nReadSchema: struct<>\n\n(17) ColumnarToRow [codegen id : 3]\nInput: []\n\n(18) HashAggregate [codegen id : 3]\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#93L]\nResults [1]: [count#94L]\n\n(19) Exchange\nInput [1]: [count#94L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=152]\n\n(20) ShuffleQueryStage\nOutput [1]: [count#94L]\nArguments: 2\n\n(21) HashAggregate [codegen id : 6]\nInput [1]: [count#94L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#42L]\nResults [1]: [count(1)#42L AS total_lessons#43L]\n\n(22) BroadcastExchange\nInput [1]: [total_lessons#43L]\nArguments: IdentityBroadcastMode, [plan_id=300]\n\n(23) BroadcastQueryStage\nOutput [1]: [total_lessons#43L]\nArguments: 5\n\n(24) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(25) Scan parquet \nOutput [1]: [user_id#29L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nReadSchema: struct<user_id:bigint>\n\n(26) ColumnarToRow [codegen id : 4]\nInput [1]: [user_id#29L]\n\n(27) HashAggregate [codegen id : 4]\nInput [1]: [user_id#29L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(28) Exchange\nInput [2]: [user_id#29L, count#96L]\nArguments: hashpartitioning(user_id#29L, 200), ENSURE_REQUIREMENTS, [plan_id=182]\n\n(29) ShuffleQueryStage\nOutput [2]: [user_id#29L, count#96L]\nArguments: 3\n\n(30) AQEShuffleRead\nInput [2]: [user_id#29L, count#96L]\nArguments: coalesced\n\n(31) HashAggregate [codegen id : 7]\nInput [2]: [user_id#29L, count#96L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [merge_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(32) HashAggregate [codegen id : 7]\nInput [2]: [user_id#29L, count#96L]\nKeys: []\nFunctions [2]: [merge_count(1), partial_count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count#96L, count#99L]\n\n(33) Exchange\nInput [2]: [count#96L, count#99L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=351]\n\n(34) ShuffleQueryStage\nOutput [2]: [count#96L, count#99L]\nArguments: 6\n\n(35) HashAggregate\nInput [2]: [count#96L, count#99L]\nKeys: []\nFunctions [2]: [count(1), count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count(1)#45L AS total_views#46L, count(user_id#29L)#48L AS users_with_views#47L]\n\n(36) BroadcastExchange\nInput [2]: [total_views#46L, users_with_views#47L]\nArguments: IdentityBroadcastMode, [plan_id=362]\n\n(37) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(38) Project\nOutput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, CASE WHEN NOT (total_courses#40L = 0) THEN round((cast(total_lessons#43L as double) / cast(total_courses#40L as double)), 2) END AS avg_lessons_per_course#62, CASE WHEN NOT (total_lessons#43L = 0) THEN round((cast(total_views#46L as double) / cast(total_lessons#43L as double)), 2) END AS avg_views_per_lesson#69]\nInput [5]: [total_users#37L, total_courses#40L, total_lessons#43L, total_views#46L, users_with_views#47L]\n\n(39) WriteFiles\nInput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, avg_lessons_per_course#62, avg_views_per_lesson#69]\n\n(40) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, avg_views_per_lesson]\n\n(41) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#89L]\nResults [1]: [count#90L]\n\n(42) Exchange\nInput [1]: [count#90L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=74]\n\n(43) HashAggregate\nInput [1]: [count#90L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#36L]\nResults [1]: [count(1)#36L AS total_users#37L]\n\n(44) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#91L]\nResults [1]: [count#92L]\n\n(45) Exchange\nInput [1]: [count#92L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=76]\n\n(46) HashAggregate\nInput [1]: [count#92L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#39L]\nResults [1]: [count(1)#39L AS total_courses#40L]\n\n(47) BroadcastExchange\nInput [1]: [total_courses#40L]\nArguments: IdentityBroadcastMode, [plan_id=79]\n\n(48) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(49) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#93L]\nResults [1]: [count#94L]\n\n(50) Exchange\nInput [1]: [count#94L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=81]\n\n(51) HashAggregate\nInput [1]: [count#94L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#42L]\nResults [1]: [count(1)#42L AS total_lessons#43L]\n\n(52) BroadcastExchange\nInput [1]: [total_lessons#43L]\nArguments: IdentityBroadcastMode, [plan_id=84]\n\n(53) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(54) HashAggregate\nInput [1]: [user_id#29L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(55) Exchange\nInput [2]: [user_id#29L, count#96L]\nArguments: hashpartitioning(user_id#29L, 200), ENSURE_REQUIREMENTS, [plan_id=86]\n\n(56) HashAggregate\nInput [2]: [user_id#29L, count#96L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [merge_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(57) HashAggregate\nInput [2]: [user_id#29L, count#96L]\nKeys: []\nFunctions [2]: [merge_count(1), partial_count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count#96L, count#99L]\n\n(58) Exchange\nInput [2]: [count#96L, count#99L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=90]\n\n(59) HashAggregate\nInput [2]: [count#96L, count#99L]\nKeys: []\nFunctions [2]: [count(1), count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count(1)#45L AS total_views#46L, count(user_id#29L)#48L AS users_with_views#47L]\n\n(60) BroadcastExchange\nInput [2]: [total_views#46L, users_with_views#47L]\nArguments: IdentityBroadcastMode, [plan_id=93]\n\n(61) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(62) Project\nOutput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, CASE WHEN NOT (total_courses#40L = 0) THEN round((cast(total_lessons#43L as double) / cast(total_courses#40L as double)), 2) END AS avg_lessons_per_course#62, CASE WHEN NOT (total_lessons#43L = 0) THEN round((cast(total_views#46L as double) / cast(total_lessons#43L as double)), 2) END AS avg_views_per_lesson#69]\nInput [5]: [total_users#37L, total_courses#40L, total_lessons#43L, total_views#46L, users_with_views#47L]\n\n(63) WriteFiles\nInput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, avg_lessons_per_course#62, avg_views_per_lesson#69]\n\n(64) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, avg_views_per_lesson]\n\n(65) 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/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, 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build","Value":"14","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":852,"Name":"number of output rows","Value":"11","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":853,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":855,"Name":"time in aggregation build","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":861,"Name":"internal.metrics.executorDeserializeTime","Value":48,"Internal":true,"Count Failed Values":true},{"ID":862,"Name":"internal.metrics.executorDeserializeCpuTime","Value":32806485,"Internal":true,"Count Failed Values":true},{"ID":863,"Name":"internal.metrics.executorRunTime","Value":71,"Internal":true,"Count Failed Values":true},{"ID":864,"Name":"internal.metrics.executorCpuTime","Value":54412267,"Internal":true,"Count Failed Values":true},{"ID":865,"Name":"internal.metrics.resultSize","Value":5797,"Internal":true,"Count Failed Values":true},{"ID":870,"Name":"internal.metrics.peakExecutionMemory","Value":262144,"Internal":true,"Count Failed Values":true},{"ID":872,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":873,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":874,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":875,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":876,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":687,"Internal":true,"Count Failed Values":true},{"ID":877,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":878,"Name":"internal.metrics.shuffle.read.recordsRead","Value":11,"Internal":true,"Count Failed Values":true},{"ID":879,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":880,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":881,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":882,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":883,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":884,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":885,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":886,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":887,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":888,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":889,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":63,"Internal":true,"Count Failed Values":true},{"ID":890,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":1,"Internal":true,"Count Failed Values":true},{"ID":891,"Name":"internal.metrics.shuffle.write.writeTime","Value":373919,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":10,"Completion Time":1782900472811,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (66)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (41)\n   +- WriteFiles (40)\n      +- Project (39)\n         +- BroadcastNestedLoopJoin Cross BuildRight (38)\n            :- BroadcastNestedLoopJoin Cross BuildRight (24)\n            :  :- BroadcastNestedLoopJoin Cross BuildRight (15)\n            :  :  :- HashAggregate (6)\n            :  :  :  +- ShuffleQueryStage (5), Statistics(sizeInBytes=16.0 B, rowCount=1)\n            :  :  :     +- Exchange (4)\n            :  :  :        +- * HashAggregate (3)\n            :  :  :           +- * ColumnarToRow (2)\n            :  :  :              +- Scan parquet  (1)\n            :  :  +- BroadcastQueryStage (14), Statistics(sizeInBytes=16.0 B, rowCount=1)\n            :  :     +- BroadcastExchange (13)\n            :  :        +- * HashAggregate (12)\n            :  :           +- ShuffleQueryStage (11), Statistics(sizeInBytes=16.0 B, rowCount=1)\n            :  :              +- Exchange (10)\n            :  :                 +- * HashAggregate (9)\n            :  :                    +- * ColumnarToRow (8)\n            :  :                       +- Scan parquet  (7)\n            :  +- BroadcastQueryStage (23), Statistics(sizeInBytes=16.0 B, rowCount=1)\n            :     +- BroadcastExchange (22)\n            :        +- * HashAggregate (21)\n            :           +- ShuffleQueryStage (20), Statistics(sizeInBytes=16.0 B, rowCount=1)\n            :              +- Exchange (19)\n            :                 +- * HashAggregate (18)\n            :                    +- * ColumnarToRow (17)\n            :                       +- Scan parquet  (16)\n            +- BroadcastQueryStage (37)\n               +- BroadcastExchange (36)\n                  +- * HashAggregate (35)\n                     +- ShuffleQueryStage (34), Statistics(sizeInBytes=24.0 B, rowCount=1)\n                        +- Exchange (33)\n                           +- * HashAggregate (32)\n                              +- * HashAggregate (31)\n                                 +- AQEShuffleRead (30)\n                                    +- ShuffleQueryStage (29), Statistics(sizeInBytes=264.0 B, rowCount=11)\n                                       +- Exchange (28)\n                                          +- * HashAggregate (27)\n                                             +- * ColumnarToRow (26)\n                                                +- Scan parquet  (25)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (65)\n   +- WriteFiles (64)\n      +- Project (63)\n         +- BroadcastNestedLoopJoin Cross BuildRight (62)\n            :- BroadcastNestedLoopJoin Cross BuildRight (54)\n            :  :- BroadcastNestedLoopJoin Cross BuildRight (49)\n            :  :  :- HashAggregate (44)\n            :  :  :  +- Exchange (43)\n            :  :  :     +- HashAggregate (42)\n            :  :  :        +- Scan parquet  (1)\n            :  :  +- BroadcastExchange (48)\n            :  :     +- HashAggregate (47)\n            :  :        +- Exchange (46)\n            :  :           +- HashAggregate (45)\n            :  :              +- Scan parquet  (7)\n            :  +- BroadcastExchange (53)\n            :     +- HashAggregate (52)\n            :        +- Exchange (51)\n            :           +- HashAggregate (50)\n            :              +- Scan parquet  (16)\n            +- BroadcastExchange (61)\n               +- HashAggregate (60)\n                  +- Exchange (59)\n                     +- HashAggregate (58)\n                        +- HashAggregate (57)\n                           +- Exchange (56)\n                              +- HashAggregate (55)\n                                 +- Scan parquet  (25)\n\n\n(1) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/users.parquet]\nReadSchema: struct<>\n\n(2) ColumnarToRow [codegen id : 1]\nInput: []\n\n(3) HashAggregate [codegen id : 1]\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#89L]\nResults [1]: [count#90L]\n\n(4) Exchange\nInput [1]: [count#90L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=108]\n\n(5) ShuffleQueryStage\nOutput [1]: [count#90L]\nArguments: 0\n\n(6) HashAggregate\nInput [1]: [count#90L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#36L]\nResults [1]: [count(1)#36L AS total_users#37L]\n\n(7) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<>\n\n(8) ColumnarToRow [codegen id : 2]\nInput: []\n\n(9) HashAggregate [codegen id : 2]\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#91L]\nResults [1]: [count#92L]\n\n(10) Exchange\nInput [1]: [count#92L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=129]\n\n(11) ShuffleQueryStage\nOutput [1]: [count#92L]\nArguments: 1\n\n(12) HashAggregate [codegen id : 5]\nInput [1]: [count#92L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#39L]\nResults [1]: [count(1)#39L AS total_courses#40L]\n\n(13) BroadcastExchange\nInput [1]: [total_courses#40L]\nArguments: IdentityBroadcastMode, [plan_id=289]\n\n(14) BroadcastQueryStage\nOutput [1]: [total_courses#40L]\nArguments: 4\n\n(15) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(16) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nReadSchema: struct<>\n\n(17) ColumnarToRow [codegen id : 3]\nInput: []\n\n(18) HashAggregate [codegen id : 3]\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#93L]\nResults [1]: [count#94L]\n\n(19) Exchange\nInput [1]: [count#94L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=152]\n\n(20) ShuffleQueryStage\nOutput [1]: [count#94L]\nArguments: 2\n\n(21) HashAggregate [codegen id : 6]\nInput [1]: [count#94L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#42L]\nResults [1]: [count(1)#42L AS total_lessons#43L]\n\n(22) BroadcastExchange\nInput [1]: [total_lessons#43L]\nArguments: IdentityBroadcastMode, [plan_id=300]\n\n(23) BroadcastQueryStage\nOutput [1]: [total_lessons#43L]\nArguments: 5\n\n(24) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(25) Scan parquet \nOutput [1]: [user_id#29L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nReadSchema: struct<user_id:bigint>\n\n(26) ColumnarToRow [codegen id : 4]\nInput [1]: [user_id#29L]\n\n(27) HashAggregate [codegen id : 4]\nInput [1]: [user_id#29L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(28) Exchange\nInput [2]: [user_id#29L, count#96L]\nArguments: hashpartitioning(user_id#29L, 200), ENSURE_REQUIREMENTS, [plan_id=182]\n\n(29) ShuffleQueryStage\nOutput [2]: [user_id#29L, count#96L]\nArguments: 3\n\n(30) AQEShuffleRead\nInput [2]: [user_id#29L, count#96L]\nArguments: coalesced\n\n(31) HashAggregate [codegen id : 7]\nInput [2]: [user_id#29L, count#96L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [merge_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(32) HashAggregate [codegen id : 7]\nInput [2]: [user_id#29L, count#96L]\nKeys: []\nFunctions [2]: [merge_count(1), partial_count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count#96L, count#99L]\n\n(33) Exchange\nInput [2]: [count#96L, count#99L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=351]\n\n(34) ShuffleQueryStage\nOutput [2]: [count#96L, count#99L]\nArguments: 6\n\n(35) HashAggregate [codegen id : 8]\nInput [2]: [count#96L, count#99L]\nKeys: []\nFunctions [2]: [count(1), count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count(1)#45L AS total_views#46L, count(user_id#29L)#48L AS users_with_views#47L]\n\n(36) BroadcastExchange\nInput [2]: [total_views#46L, users_with_views#47L]\nArguments: IdentityBroadcastMode, [plan_id=433]\n\n(37) BroadcastQueryStage\nOutput [2]: [total_views#46L, users_with_views#47L]\nArguments: 7\n\n(38) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(39) Project\nOutput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, CASE WHEN NOT (total_courses#40L = 0) THEN round((cast(total_lessons#43L as double) / cast(total_courses#40L as double)), 2) END AS avg_lessons_per_course#62, CASE WHEN NOT (total_lessons#43L = 0) THEN round((cast(total_views#46L as double) / cast(total_lessons#43L as double)), 2) END AS avg_views_per_lesson#69]\nInput [5]: [total_users#37L, total_courses#40L, total_lessons#43L, total_views#46L, users_with_views#47L]\n\n(40) WriteFiles\nInput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, avg_lessons_per_course#62, avg_views_per_lesson#69]\n\n(41) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, avg_views_per_lesson]\n\n(42) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#89L]\nResults [1]: [count#90L]\n\n(43) Exchange\nInput [1]: [count#90L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=74]\n\n(44) HashAggregate\nInput [1]: [count#90L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#36L]\nResults [1]: [count(1)#36L AS total_users#37L]\n\n(45) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#91L]\nResults [1]: [count#92L]\n\n(46) Exchange\nInput [1]: [count#92L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=76]\n\n(47) HashAggregate\nInput [1]: [count#92L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#39L]\nResults [1]: [count(1)#39L AS total_courses#40L]\n\n(48) BroadcastExchange\nInput [1]: [total_courses#40L]\nArguments: IdentityBroadcastMode, [plan_id=79]\n\n(49) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(50) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#93L]\nResults [1]: [count#94L]\n\n(51) Exchange\nInput [1]: [count#94L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=81]\n\n(52) HashAggregate\nInput [1]: [count#94L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#42L]\nResults [1]: [count(1)#42L AS total_lessons#43L]\n\n(53) BroadcastExchange\nInput [1]: [total_lessons#43L]\nArguments: IdentityBroadcastMode, [plan_id=84]\n\n(54) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(55) HashAggregate\nInput [1]: [user_id#29L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(56) Exchange\nInput [2]: [user_id#29L, count#96L]\nArguments: hashpartitioning(user_id#29L, 200), ENSURE_REQUIREMENTS, [plan_id=86]\n\n(57) HashAggregate\nInput [2]: [user_id#29L, count#96L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [merge_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(58) HashAggregate\nInput [2]: [user_id#29L, count#96L]\nKeys: []\nFunctions [2]: [merge_count(1), partial_count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count#96L, count#99L]\n\n(59) Exchange\nInput [2]: [count#96L, count#99L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=90]\n\n(60) HashAggregate\nInput [2]: [count#96L, count#99L]\nKeys: []\nFunctions [2]: [count(1), count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count(1)#45L AS total_views#46L, count(user_id#29L)#48L AS users_with_views#47L]\n\n(61) BroadcastExchange\nInput [2]: [total_views#46L, users_with_views#47L]\nArguments: IdentityBroadcastMode, [plan_id=93]\n\n(62) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(63) Project\nOutput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, CASE WHEN NOT (total_courses#40L = 0) THEN round((cast(total_lessons#43L as double) / cast(total_courses#40L as double)), 2) END AS avg_lessons_per_course#62, CASE WHEN NOT (total_lessons#43L = 0) THEN round((cast(total_views#46L as double) / cast(total_lessons#43L as double)), 2) END AS avg_views_per_lesson#69]\nInput [5]: [total_users#37L, total_courses#40L, total_lessons#43L, total_views#46L, users_with_views#47L]\n\n(64) WriteFiles\nInput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, avg_lessons_per_course#62, avg_views_per_lesson#69]\n\n(65) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, avg_views_per_lesson]\n\n(66) 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/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, avg_views_per_lesson]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Project","simpleString":"Project [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, CASE WHEN NOT (total_courses#40L = 0) THEN round((cast(total_lessons#43L as double) / cast(total_courses#40L as double)), 2) END AS avg_lessons_per_course#62, CASE WHEN NOT (total_lessons#43L = 0) THEN round((cast(total_views#46L as double) / cast(total_lessons#43L as double)), 2) END AS avg_views_per_lesson#69]","children":[{"nodeName":"BroadcastNestedLoopJoin","simpleString":"BroadcastNestedLoopJoin BuildRight, Cross","children":[{"nodeName":"BroadcastNestedLoopJoin","simpleString":"BroadcastNestedLoopJoin BuildRight, Cross","children":[{"nodeName":"BroadcastNestedLoopJoin","simpleString":"BroadcastNestedLoopJoin BuildRight, Cross","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[], functions=[count(1)])","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 0","children":[{"nodeName":"Exchange","simpleString":"Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=108]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[], functions=[partial_count(1)])","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/users.parquet], PartitionFilters: [], PushedFilters: [], 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{"Event":"SparkListenerJobEnd","Job ID":11,"Completion Time":1782900472940,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[909,2],[908,0],[907,114],[906,1],[905,24]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (66)\n+- == Final Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (41)\n   +- WriteFiles (40)\n      +- * Project (39)\n         +- * BroadcastNestedLoopJoin Cross BuildRight (38)\n            :- * BroadcastNestedLoopJoin Cross BuildRight (24)\n            :  :- * BroadcastNestedLoopJoin Cross BuildRight (15)\n            :  :  :- * HashAggregate (6)\n            :  :  :  +- ShuffleQueryStage (5), Statistics(sizeInBytes=16.0 B, rowCount=1)\n            :  :  :     +- Exchange (4)\n            :  :  :        +- * HashAggregate (3)\n            :  :  :           +- * ColumnarToRow (2)\n            :  :  :              +- Scan parquet  (1)\n            :  :  +- BroadcastQueryStage (14), Statistics(sizeInBytes=16.0 B, rowCount=1)\n            :  :     +- BroadcastExchange (13)\n            :  :        +- * HashAggregate (12)\n            :  :           +- ShuffleQueryStage (11), Statistics(sizeInBytes=16.0 B, rowCount=1)\n            :  :              +- Exchange (10)\n            :  :                 +- * HashAggregate (9)\n            :  :                    +- * ColumnarToRow (8)\n            :  :                       +- Scan parquet  (7)\n            :  +- BroadcastQueryStage (23), Statistics(sizeInBytes=16.0 B, rowCount=1)\n            :     +- BroadcastExchange (22)\n            :        +- * HashAggregate (21)\n            :           +- ShuffleQueryStage (20), Statistics(sizeInBytes=16.0 B, rowCount=1)\n            :              +- Exchange (19)\n            :                 +- * HashAggregate (18)\n            :                    +- * ColumnarToRow (17)\n            :                       +- Scan parquet  (16)\n            +- BroadcastQueryStage (37), Statistics(sizeInBytes=24.0 B, rowCount=1)\n               +- BroadcastExchange (36)\n                  +- * HashAggregate (35)\n                     +- ShuffleQueryStage (34), Statistics(sizeInBytes=24.0 B, rowCount=1)\n                        +- Exchange (33)\n                           +- * HashAggregate (32)\n                              +- * HashAggregate (31)\n                                 +- AQEShuffleRead (30)\n                                    +- ShuffleQueryStage (29), Statistics(sizeInBytes=264.0 B, rowCount=11)\n                                       +- Exchange (28)\n                                          +- * HashAggregate (27)\n                                             +- * ColumnarToRow (26)\n                                                +- Scan parquet  (25)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (65)\n   +- WriteFiles (64)\n      +- Project (63)\n         +- BroadcastNestedLoopJoin Cross BuildRight (62)\n            :- BroadcastNestedLoopJoin Cross BuildRight (54)\n            :  :- BroadcastNestedLoopJoin Cross BuildRight (49)\n            :  :  :- HashAggregate (44)\n            :  :  :  +- Exchange (43)\n            :  :  :     +- HashAggregate (42)\n            :  :  :        +- Scan parquet  (1)\n            :  :  +- BroadcastExchange (48)\n            :  :     +- HashAggregate (47)\n            :  :        +- Exchange (46)\n            :  :           +- HashAggregate (45)\n            :  :              +- Scan parquet  (7)\n            :  +- BroadcastExchange (53)\n            :     +- HashAggregate (52)\n            :        +- Exchange (51)\n            :           +- HashAggregate (50)\n            :              +- Scan parquet  (16)\n            +- BroadcastExchange (61)\n               +- HashAggregate (60)\n                  +- Exchange (59)\n                     +- HashAggregate (58)\n                        +- HashAggregate (57)\n                           +- Exchange (56)\n                              +- HashAggregate (55)\n                                 +- Scan parquet  (25)\n\n\n(1) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/users.parquet]\nReadSchema: struct<>\n\n(2) ColumnarToRow [codegen id : 1]\nInput: []\n\n(3) HashAggregate [codegen id : 1]\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#89L]\nResults [1]: [count#90L]\n\n(4) Exchange\nInput [1]: [count#90L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=108]\n\n(5) ShuffleQueryStage\nOutput [1]: [count#90L]\nArguments: 0\n\n(6) HashAggregate [codegen id : 9]\nInput [1]: [count#90L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#36L]\nResults [1]: [count(1)#36L AS total_users#37L]\n\n(7) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/courses.parquet]\nReadSchema: struct<>\n\n(8) ColumnarToRow [codegen id : 2]\nInput: []\n\n(9) HashAggregate [codegen id : 2]\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#91L]\nResults [1]: [count#92L]\n\n(10) Exchange\nInput [1]: [count#92L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=129]\n\n(11) ShuffleQueryStage\nOutput [1]: [count#92L]\nArguments: 1\n\n(12) HashAggregate [codegen id : 5]\nInput [1]: [count#92L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#39L]\nResults [1]: [count(1)#39L AS total_courses#40L]\n\n(13) BroadcastExchange\nInput [1]: [total_courses#40L]\nArguments: IdentityBroadcastMode, [plan_id=289]\n\n(14) BroadcastQueryStage\nOutput [1]: [total_courses#40L]\nArguments: 4\n\n(15) BroadcastNestedLoopJoin [codegen id : 9]\nJoin type: Cross\nJoin condition: None\n\n(16) Scan parquet \nOutput: []\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lessons.parquet]\nReadSchema: struct<>\n\n(17) ColumnarToRow [codegen id : 3]\nInput: []\n\n(18) HashAggregate [codegen id : 3]\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#93L]\nResults [1]: [count#94L]\n\n(19) Exchange\nInput [1]: [count#94L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=152]\n\n(20) ShuffleQueryStage\nOutput [1]: [count#94L]\nArguments: 2\n\n(21) HashAggregate [codegen id : 6]\nInput [1]: [count#94L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#42L]\nResults [1]: [count(1)#42L AS total_lessons#43L]\n\n(22) BroadcastExchange\nInput [1]: [total_lessons#43L]\nArguments: IdentityBroadcastMode, [plan_id=300]\n\n(23) BroadcastQueryStage\nOutput [1]: [total_lessons#43L]\nArguments: 5\n\n(24) BroadcastNestedLoopJoin [codegen id : 9]\nJoin type: Cross\nJoin condition: None\n\n(25) Scan parquet \nOutput [1]: [user_id#29L]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/raw/lesson_views.parquet]\nReadSchema: struct<user_id:bigint>\n\n(26) ColumnarToRow [codegen id : 4]\nInput [1]: [user_id#29L]\n\n(27) HashAggregate [codegen id : 4]\nInput [1]: [user_id#29L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(28) Exchange\nInput [2]: [user_id#29L, count#96L]\nArguments: hashpartitioning(user_id#29L, 200), ENSURE_REQUIREMENTS, [plan_id=182]\n\n(29) ShuffleQueryStage\nOutput [2]: [user_id#29L, count#96L]\nArguments: 3\n\n(30) AQEShuffleRead\nInput [2]: [user_id#29L, count#96L]\nArguments: coalesced\n\n(31) HashAggregate [codegen id : 7]\nInput [2]: [user_id#29L, count#96L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [merge_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(32) HashAggregate [codegen id : 7]\nInput [2]: [user_id#29L, count#96L]\nKeys: []\nFunctions [2]: [merge_count(1), partial_count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count#96L, count#99L]\n\n(33) Exchange\nInput [2]: [count#96L, count#99L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=351]\n\n(34) ShuffleQueryStage\nOutput [2]: [count#96L, count#99L]\nArguments: 6\n\n(35) HashAggregate [codegen id : 8]\nInput [2]: [count#96L, count#99L]\nKeys: []\nFunctions [2]: [count(1), count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count(1)#45L AS total_views#46L, count(user_id#29L)#48L AS users_with_views#47L]\n\n(36) BroadcastExchange\nInput [2]: [total_views#46L, users_with_views#47L]\nArguments: IdentityBroadcastMode, [plan_id=433]\n\n(37) BroadcastQueryStage\nOutput [2]: [total_views#46L, users_with_views#47L]\nArguments: 7\n\n(38) BroadcastNestedLoopJoin [codegen id : 9]\nJoin type: Cross\nJoin condition: None\n\n(39) Project [codegen id : 9]\nOutput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, CASE WHEN NOT (total_courses#40L = 0) THEN round((cast(total_lessons#43L as double) / cast(total_courses#40L as double)), 2) END AS avg_lessons_per_course#62, CASE WHEN NOT (total_lessons#43L = 0) THEN round((cast(total_views#46L as double) / cast(total_lessons#43L as double)), 2) END AS avg_views_per_lesson#69]\nInput [5]: [total_users#37L, total_courses#40L, total_lessons#43L, total_views#46L, users_with_views#47L]\n\n(40) WriteFiles\nInput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, avg_lessons_per_course#62, avg_views_per_lesson#69]\n\n(41) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, avg_views_per_lesson]\n\n(42) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#89L]\nResults [1]: [count#90L]\n\n(43) Exchange\nInput [1]: [count#90L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=74]\n\n(44) HashAggregate\nInput [1]: [count#90L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#36L]\nResults [1]: [count(1)#36L AS total_users#37L]\n\n(45) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#91L]\nResults [1]: [count#92L]\n\n(46) Exchange\nInput [1]: [count#92L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=76]\n\n(47) HashAggregate\nInput [1]: [count#92L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#39L]\nResults [1]: [count(1)#39L AS total_courses#40L]\n\n(48) BroadcastExchange\nInput [1]: [total_courses#40L]\nArguments: IdentityBroadcastMode, [plan_id=79]\n\n(49) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(50) HashAggregate\nInput: []\nKeys: []\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count#93L]\nResults [1]: [count#94L]\n\n(51) Exchange\nInput [1]: [count#94L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=81]\n\n(52) HashAggregate\nInput [1]: [count#94L]\nKeys: []\nFunctions [1]: [count(1)]\nAggregate Attributes [1]: [count(1)#42L]\nResults [1]: [count(1)#42L AS total_lessons#43L]\n\n(53) BroadcastExchange\nInput [1]: [total_lessons#43L]\nArguments: IdentityBroadcastMode, [plan_id=84]\n\n(54) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(55) HashAggregate\nInput [1]: [user_id#29L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [partial_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(56) Exchange\nInput [2]: [user_id#29L, count#96L]\nArguments: hashpartitioning(user_id#29L, 200), ENSURE_REQUIREMENTS, [plan_id=86]\n\n(57) HashAggregate\nInput [2]: [user_id#29L, count#96L]\nKeys [1]: [user_id#29L]\nFunctions [1]: [merge_count(1)]\nAggregate Attributes [1]: [count(1)#45L]\nResults [2]: [user_id#29L, count#96L]\n\n(58) HashAggregate\nInput [2]: [user_id#29L, count#96L]\nKeys: []\nFunctions [2]: [merge_count(1), partial_count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count#96L, count#99L]\n\n(59) Exchange\nInput [2]: [count#96L, count#99L]\nArguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=90]\n\n(60) HashAggregate\nInput [2]: [count#96L, count#99L]\nKeys: []\nFunctions [2]: [count(1), count(distinct user_id#29L)]\nAggregate Attributes [2]: [count(1)#45L, count(user_id#29L)#48L]\nResults [2]: [count(1)#45L AS total_views#46L, count(user_id#29L)#48L AS users_with_views#47L]\n\n(61) BroadcastExchange\nInput [2]: [total_views#46L, users_with_views#47L]\nArguments: IdentityBroadcastMode, [plan_id=93]\n\n(62) BroadcastNestedLoopJoin\nJoin type: Cross\nJoin condition: None\n\n(63) Project\nOutput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, CASE WHEN NOT (total_courses#40L = 0) THEN round((cast(total_lessons#43L as double) / cast(total_courses#40L as double)), 2) END AS avg_lessons_per_course#62, CASE WHEN NOT (total_lessons#43L = 0) THEN round((cast(total_views#46L as double) / cast(total_lessons#43L as double)), 2) END AS avg_views_per_lesson#69]\nInput [5]: [total_users#37L, total_courses#40L, total_lessons#43L, total_views#46L, users_with_views#47L]\n\n(64) WriteFiles\nInput [6]: [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, avg_lessons_per_course#62, avg_views_per_lesson#69]\n\n(65) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, avg_views_per_lesson]\n\n(66) 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/platform_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts/platform_summary.parquet], Overwrite, [total_users, total_courses, total_lessons, users_with_views, avg_lessons_per_course, avg_views_per_lesson]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"WholeStageCodegen (9)","simpleString":"WholeStageCodegen (9)","children":[{"nodeName":"Project","simpleString":"Project [total_users#37L, total_courses#40L, total_lessons#43L, users_with_views#47L, CASE WHEN NOT (total_courses#40L = 0) THEN round((cast(total_lessons#43L as double) / cast(total_courses#40L as double)), 2) END AS avg_lessons_per_course#62, CASE WHEN NOT (total_lessons#43L = 0) THEN round((cast(total_views#46L as double) / cast(total_lessons#43L as double)), 2) END AS avg_views_per_lesson#69]","children":[{"nodeName":"BroadcastNestedLoopJoin","simpleString":"BroadcastNestedLoopJoin BuildRight, Cross","children":[{"nodeName":"BroadcastNestedLoopJoin","simpleString":"BroadcastNestedLoopJoin BuildRight, Cross","children":[{"nodeName":"BroadcastNestedLoopJoin","simpleString":"BroadcastNestedLoopJoin BuildRight, Cross","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[], functions=[count(1)])","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 0","children":[{"nodeName":"Exchange","simpleString":"Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=108]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[], functions=[partial_count(1)])","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/users.parquet], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/users.parquet]","ReadSchema":"struct<>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[]","DataFilters":"[]"},"metrics":[{"name":"number of files read","accumulatorId":186,"metricType":"sum"},{"name":"scan time","accumulatorId":185,"metricType":"timing"},{"name":"metadata time","accumulatorId":187,"metricType":"timing"},{"name":"size of files read","accumulatorId":188,"metricType":"size"},{"name":"number of output rows","accumulatorId":184,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":393,"metricType":"sum"},{"name":"number of input batches","accumulatorId":394,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":389,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":390,"metricType":"timing"},{"name":"peak memory","accumulatorId":388,"metricType":"size"},{"name":"number of output rows","accumulatorId":387,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":392,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":391,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":386,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":384,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":378,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":385,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":379,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":376,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":373,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":382,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":375,"metricType":"sum"},{"name":"records read","accumulatorId":372,"metricType":"sum"},{"name":"local bytes read","accumulatorId":370,"metricType":"size"},{"name":"fetch wait time","accumulatorId":371,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":368,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":374,"metricType":"sum"},{"name":"local blocks read","accumulatorId":367,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":377,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":366,"metricType":"sum"},{"name":"data size","accumulatorId":364,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":380,"metricType":"size"},{"name":"number of partitions","accumulatorId":365,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":381,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":369,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":383,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":964,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":965,"metricType":"timing"},{"name":"peak memory","accumulatorId":963,"metricType":"size"},{"name":"number of output rows","accumulatorId":962,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":967,"metricType":"sum"},{"name":"avg hash probes per 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functions=[partial_count(1)])","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/courses.parquet], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/raw/courses.parquet]","ReadSchema":"struct<>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[]","DataFilters":"[]"},"metrics":[{"name":"number of files read","accumulatorId":230,"metricType":"sum"},{"name":"scan time","accumulatorId":229,"metricType":"timing"},{"name":"metadata time","accumulatorId":231,"metricType":"timing"},{"name":"size of files read","accumulatorId":232,"metricType":"size"},{"name":"number of output rows","accumulatorId":228,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":435,"metricType":"sum"},{"name":"number of input batches","accumulatorId":436,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":431,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":432,"metricType":"timing"},{"name":"peak memory","accumulatorId":430,"metricType":"size"},{"name":"number of output rows","accumulatorId":429,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":434,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":433,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"duration","accumulatorId":428,"metricType":"timing"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":426,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":420,"metricType":"sum"},{"name":"shuffle 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