{"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":40493},"Maximum Memory":455501414,"Timestamp":1783092372657,"Maximum Onheap Memory":455501414,"Maximum Offheap Memory":0}
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{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":1,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":3,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"6\",\"name\":\"mapPartitions\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[2],"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":2,"Name":"ParallelCollectionRDD","Scope":"{\"id\":\"5\",\"name\":\"parallelize\"}","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.DataFrameReader.parquet(DataFrameReader.scala:563)\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":1783092383922,"Completion Time":1783092384014,"Accumulables":[{"ID":36,"Name":"internal.metrics.executorDeserializeTime","Value":21,"Internal":true,"Count Failed Values":true},{"ID":37,"Name":"internal.metrics.executorDeserializeCpuTime","Value":12604110,"Internal":true,"Count Failed Values":true},{"ID":38,"Name":"internal.metrics.executorRunTime","Value":42,"Internal":true,"Count Failed Values":true},{"ID":39,"Name":"internal.metrics.executorCpuTime","Value":14075369,"Internal":true,"Count Failed Values":true},{"ID":40,"Name":"internal.metrics.resultSize","Value":2211,"Internal":true,"Count Failed Values":true},{"ID":42,"Name":"internal.metrics.resultSerializationTime","Value":1,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":1,"Completion Time":1783092384014,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"SparkListenerJobStart","Job ID":2,"Submission Time":1783092384101,"Stage Infos":[{"Stage ID":2,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":5,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"11\",\"name\":\"mapPartitions\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[4],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":4,"Name":"ParallelCollectionRDD","Scope":"{\"id\":\"10\",\"name\":\"parallelize\"}","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.DataFrameReader.parquet(DataFrameReader.scala:563)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}],"Stage IDs":[2],"Properties":{"spark.rdd.scope":"{\"id\":\"12\",\"name\":\"collect\"}","spark.rdd.scope.noOverride":"true"}}
{"Event":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":2,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":5,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"11\",\"name\":\"mapPartitions\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[4],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":4,"Name":"ParallelCollectionRDD","Scope":"{\"id\":\"10\",\"name\":\"parallelize\"}","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.DataFrameReader.parquet(DataFrameReader.scala:563)\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":1783092384102,"Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0},"Properties":{"spark.rdd.scope":"{\"id\":\"12\",\"name\":\"collect\"}","spark.rdd.scope.noOverride":"true"}}
{"Event":"SparkListenerTaskStart","Stage ID":2,"Stage Attempt ID":0,"Task Info":{"Task ID":2,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1783092384120,"Executor ID":"0","Host":"172.28.0.49","Locality":"PROCESS_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":0,"Failed":false,"Killed":false,"Accumulables":[]}}
{"Event":"SparkListenerTaskEnd","Stage ID":2,"Stage Attempt ID":0,"Task Type":"ResultTask","Task End Reason":{"Reason":"Success"},"Task Info":{"Task ID":2,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1783092384120,"Executor ID":"0","Host":"172.28.0.49","Locality":"PROCESS_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":1783092384191,"Failed":false,"Killed":false,"Accumulables":[{"ID":71,"Name":"internal.metrics.executorDeserializeTime","Update":34,"Value":34,"Internal":true,"Count Failed Values":true},{"ID":72,"Name":"internal.metrics.executorDeserializeCpuTime","Update":14441143,"Value":14441143,"Internal":true,"Count Failed Values":true},{"ID":73,"Name":"internal.metrics.executorRunTime","Update":21,"Value":21,"Internal":true,"Count Failed Values":true},{"ID":74,"Name":"internal.metrics.executorCpuTime","Update":3346143,"Value":3346143,"Internal":true,"Count Failed Values":true},{"ID":75,"Name":"internal.metrics.resultSize","Update":2219,"Value":2219,"Internal":true,"Count Failed Values":true},{"ID":77,"Name":"internal.metrics.resultSerializationTime","Update":1,"Value":1,"Internal":true,"Count Failed Values":true}]},"Task Executor Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":34,"Executor Deserialize CPU Time":14441143,"Executor Run Time":21,"Executor CPU Time":3346143,"Peak Execution Memory":0,"Result Size":2219,"JVM GC Time":0,"Result Serialization Time":1,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":0,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":0,"Total Records Read":0,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":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":2,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":5,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"11\",\"name\":\"mapPartitions\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[4],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":4,"Name":"ParallelCollectionRDD","Scope":"{\"id\":\"10\",\"name\":\"parallelize\"}","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.DataFrameReader.parquet(DataFrameReader.scala:563)\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":1783092384102,"Completion Time":1783092384193,"Accumulables":[{"ID":71,"Name":"internal.metrics.executorDeserializeTime","Value":34,"Internal":true,"Count Failed Values":true},{"ID":72,"Name":"internal.metrics.executorDeserializeCpuTime","Value":14441143,"Internal":true,"Count Failed Values":true},{"ID":73,"Name":"internal.metrics.executorRunTime","Value":21,"Internal":true,"Count Failed Values":true},{"ID":74,"Name":"internal.metrics.executorCpuTime","Value":3346143,"Internal":true,"Count Failed Values":true},{"ID":75,"Name":"internal.metrics.resultSize","Value":2219,"Internal":true,"Count Failed Values":true},{"ID":77,"Name":"internal.metrics.resultSerializationTime","Value":1,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":2,"Completion Time":1783092384194,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionStart","executionId":0,"rootExecutionId":0,"description":"parquet at NativeMethodAccessorImpl.java:0","details":"org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:792)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\njava.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)\njava.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\njava.base/java.lang.reflect.Method.invoke(Method.java:569)\npy4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\npy4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)\npy4j.Gateway.invoke(Gateway.java:282)\npy4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\npy4j.commands.CallCommand.execute(CallCommand.java:79)\npy4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)\npy4j.ClientServerConnection.run(ClientServerConnection.java:106)\njava.base/java.lang.Thread.run(Thread.java:840)","physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (23)\n+- Execute InsertIntoHadoopFsRelationCommand (22)\n   +- WriteFiles (21)\n      +- Sort (20)\n         +- Exchange (19)\n            +- Project (18)\n               +- BroadcastHashJoin Inner BuildRight (17)\n                  :- Project (13)\n                  :  +- BroadcastHashJoin Inner BuildRight (12)\n                  :     :- HashAggregate (8)\n                  :     :  +- Exchange (7)\n                  :     :     +- HashAggregate (6)\n                  :     :        +- HashAggregate (5)\n                  :     :           +- Exchange (4)\n                  :     :              +- HashAggregate (3)\n                  :     :                 +- Filter (2)\n                  :     :                    +- Scan parquet  (1)\n                  :     +- BroadcastExchange (11)\n                  :        +- Filter (10)\n                  :           +- Scan parquet  (9)\n                  +- BroadcastExchange (16)\n                     +- Filter (15)\n                        +- Scan parquet  (14)\n\n\n(1) Scan parquet \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/fact_lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>\n\n(2) Filter\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(3) HashAggregate\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(4) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=76]\n\n(5) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(6) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(7) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=80]\n\n(8) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(9) Scan parquet \nOutput [2]: [lesson_id#8, title#10]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_lesson.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:int,title:string>\n\n(10) Filter\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(11) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=83]\n\n(12) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(13) Project\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(14) Scan parquet \nOutput [2]: [course_id#18, title#19]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_course.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:int,title:string>\n\n(15) Filter\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(16) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=87]\n\n(17) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(18) Project\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(19) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=91]\n\n(20) Sort\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(21) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(22) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(23) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [lesson_id#1 ASC NULLS FIRST], true, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=91]","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#2], [course_id#18], Inner, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [lesson_id#1], [lesson_id#8], Inner, BuildRight, false","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2], functions=[count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=80]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2], functions=[merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2, user_id#0], functions=[merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)])","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=76]","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2, user_id#0], functions=[partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)])","children":[{"nodeName":"Filter","simpleString":"Filter (isnotnull(lesson_id#1) AND isnotnull(course_id#2))","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [user_id#0,lesson_id#1,course_id#2,viewed_at#3] Batched: true, DataFilters: [isnotnull(lesson_id#1), isnotnull(course_id#2)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/fact_lesson_views.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id), IsNotNull(course_id)], ReadSchema: struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/fact_lesson_views.parquet]","ReadSchema":"struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(lesson_id), IsNotNull(course_id)]","DataFilters":"[isnotnull(lesson_id#1), isnotnull(course_id#2)]"},"metrics":[{"name":"number of files read","accumulatorId":210,"metricType":"sum"},{"name":"scan time","accumulatorId":209,"metricType":"timing"},{"name":"metadata time","accumulatorId":211,"metricType":"timing"},{"name":"size of files read","accumulatorId":212,"metricType":"size"},{"name":"number of output rows","accumulatorId":208,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":207,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":203,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":204,"metricType":"timing"},{"name":"peak memory","accumulatorId":202,"metricType":"size"},{"name":"number of output rows","accumulatorId":201,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":206,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":205,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":199,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":193,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":200,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":194,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":191,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":188,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":197,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":190,"metricType":"sum"},{"name":"records read","accumulatorId":187,"metricType":"sum"},{"name":"local bytes read","accumulatorId":185,"metricType":"size"},{"name":"fetch wait time","accumulatorId":186,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":183,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":189,"metricType":"sum"},{"name":"local blocks read","accumulatorId":182,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":192,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":181,"metricType":"sum"},{"name":"data size","accumulatorId":179,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":195,"metricType":"size"},{"name":"number of partitions","accumulatorId":180,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":196,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":184,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":198,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":175,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":176,"metricType":"timing"},{"name":"peak memory","accumulatorId":174,"metricType":"size"},{"name":"number of output rows","accumulatorId":173,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":178,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":177,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":169,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":170,"metricType":"timing"},{"name":"peak memory","accumulatorId":168,"metricType":"size"},{"name":"number of output rows","accumulatorId":167,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":172,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":171,"metricType":"average"}]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":165,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":159,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":166,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":160,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":157,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":154,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":163,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":156,"metricType":"sum"},{"name":"records read","accumulatorId":153,"metricType":"sum"},{"name":"local bytes read","accumulatorId":151,"metricType":"size"},{"name":"fetch wait time","accumulatorId":152,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":149,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":155,"metricType":"sum"},{"name":"local blocks read","accumulatorId":148,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":158,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":147,"metricType":"sum"},{"name":"data size","accumulatorId":145,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":161,"metricType":"size"},{"name":"number of partitions","accumulatorId":146,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":162,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":150,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":164,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":141,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":142,"metricType":"timing"},{"name":"peak memory","accumulatorId":140,"metricType":"size"},{"name":"number of output rows","accumulatorId":139,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":144,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":143,"metricType":"average"}]},{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=83]","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(lesson_id#8)","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [lesson_id#8,title#10] Batched: true, DataFilters: [isnotnull(lesson_id#8)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/dim_lesson.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id)], ReadSchema: struct<lesson_id:int,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/dim_lesson.parquet]","ReadSchema":"struct<lesson_id:int,title:string>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(lesson_id)]","DataFilters":"[isnotnull(lesson_id#8)]"},"metrics":[{"name":"number of files read","accumulatorId":221,"metricType":"sum"},{"name":"scan time","accumulatorId":220,"metricType":"timing"},{"name":"metadata time","accumulatorId":222,"metricType":"timing"},{"name":"size of files read","accumulatorId":223,"metricType":"size"},{"name":"number of output rows","accumulatorId":219,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":218,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":217,"metricType":"timing"},{"name":"time to build","accumulatorId":216,"metricType":"timing"},{"name":"time to collect","accumulatorId":215,"metricType":"timing"},{"name":"number of output rows","accumulatorId":214,"metricType":"sum"},{"name":"data size","accumulatorId":213,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":138,"metricType":"sum"}]}],"metadata":{},"metrics":[]},{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=87]","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(course_id#18)","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [course_id#18,title#19] Batched: true, DataFilters: [isnotnull(course_id#18)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/dim_course.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<course_id:int,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/dim_course.parquet]","ReadSchema":"struct<course_id:int,title:string>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#18)]"},"metrics":[{"name":"number of files read","accumulatorId":232,"metricType":"sum"},{"name":"scan time","accumulatorId":231,"metricType":"timing"},{"name":"metadata time","accumulatorId":233,"metricType":"timing"},{"name":"size of files read","accumulatorId":234,"metricType":"size"},{"name":"number of output rows","accumulatorId":230,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":229,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"time to broadcast","accumulatorId":228,"metricType":"timing"},{"name":"time to build","accumulatorId":227,"metricType":"timing"},{"name":"time to collect","accumulatorId":226,"metricType":"timing"},{"name":"number of output rows","accumulatorId":225,"metricType":"sum"},{"name":"data size","accumulatorId":224,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":137,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"shuffle records written","accumulatorId":135,"metricType":"sum"},{"name":"local merged chunks fetched","accumulatorId":129,"metricType":"sum"},{"name":"shuffle write time","accumulatorId":136,"metricType":"nsTiming"},{"name":"remote merged bytes read","accumulatorId":130,"metricType":"size"},{"name":"local merged blocks fetched","accumulatorId":127,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":124,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":133,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":126,"metricType":"sum"},{"name":"records read","accumulatorId":123,"metricType":"sum"},{"name":"local bytes read","accumulatorId":121,"metricType":"size"},{"name":"fetch wait time","accumulatorId":122,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":119,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":125,"metricType":"sum"},{"name":"local blocks read","accumulatorId":118,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":128,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":117,"metricType":"sum"},{"name":"data size","accumulatorId":115,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":131,"metricType":"size"},{"name":"number of partitions","accumulatorId":116,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":132,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":120,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":134,"metricType":"size"}]}],"metadata":{},"metrics":[{"name":"sort time","accumulatorId":112,"metricType":"timing"},{"name":"peak memory","accumulatorId":113,"metricType":"size"},{"name":"spill size","accumulatorId":114,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"task commit time","accumulatorId":110,"metricType":"timing"},{"name":"number of written files","accumulatorId":106,"metricType":"sum"},{"name":"job commit time","accumulatorId":111,"metricType":"timing"},{"name":"number of output rows","accumulatorId":108,"metricType":"sum"},{"name":"number of dynamic part","accumulatorId":109,"metricType":"sum"},{"name":"written output","accumulatorId":107,"metricType":"size"}]}],"metadata":{},"metrics":[]},"time":1783092384926,"modifiedConfigs":{},"jobTags":[]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (48)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (28)\n   +- WriteFiles (27)\n      +- Sort (26)\n         +- Exchange (25)\n            +- Project (24)\n               +- BroadcastHashJoin Inner BuildRight (23)\n                  :- Project (17)\n                  :  +- BroadcastHashJoin Inner BuildRight (16)\n                  :     :- HashAggregate (10)\n                  :     :  +- Exchange (9)\n                  :     :     +- HashAggregate (8)\n                  :     :        +- HashAggregate (7)\n                  :     :           +- ShuffleQueryStage (6)\n                  :     :              +- Exchange (5)\n                  :     :                 +- * HashAggregate (4)\n                  :     :                    +- * Filter (3)\n                  :     :                       +- * ColumnarToRow (2)\n                  :     :                          +- Scan parquet  (1)\n                  :     +- BroadcastQueryStage (15)\n                  :        +- BroadcastExchange (14)\n                  :           +- * Filter (13)\n                  :              +- * ColumnarToRow (12)\n                  :                 +- Scan parquet  (11)\n                  +- BroadcastQueryStage (22)\n                     +- BroadcastExchange (21)\n                        +- * Filter (20)\n                           +- * ColumnarToRow (19)\n                              +- Scan parquet  (18)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (47)\n   +- WriteFiles (46)\n      +- Sort (45)\n         +- Exchange (44)\n            +- Project (43)\n               +- BroadcastHashJoin Inner BuildRight (42)\n                  :- Project (39)\n                  :  +- BroadcastHashJoin Inner BuildRight (38)\n                  :     :- HashAggregate (35)\n                  :     :  +- Exchange (34)\n                  :     :     +- HashAggregate (33)\n                  :     :        +- HashAggregate (32)\n                  :     :           +- Exchange (31)\n                  :     :              +- HashAggregate (30)\n                  :     :                 +- Filter (29)\n                  :     :                    +- Scan parquet  (1)\n                  :     +- BroadcastExchange (37)\n                  :        +- Filter (36)\n                  :           +- Scan parquet  (11)\n                  +- BroadcastExchange (41)\n                     +- Filter (40)\n                        +- Scan parquet  (18)\n\n\n(1) Scan parquet \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/fact_lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>\n\n(2) ColumnarToRow [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\n\n(3) Filter [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(4) HashAggregate [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(5) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=137]\n\n(6) ShuffleQueryStage\nOutput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: 0\n\n(7) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(8) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(9) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=150]\n\n(10) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(11) Scan parquet \nOutput [2]: [lesson_id#8, title#10]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_lesson.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:int,title:string>\n\n(12) ColumnarToRow [codegen id : 2]\nInput [2]: [lesson_id#8, title#10]\n\n(13) Filter [codegen id : 2]\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(14) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=159]\n\n(15) BroadcastQueryStage\nOutput [2]: [lesson_id#8, title#10]\nArguments: 1\n\n(16) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(17) Project\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(18) Scan parquet \nOutput [2]: [course_id#18, title#19]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_course.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:int,title:string>\n\n(19) ColumnarToRow [codegen id : 3]\nInput [2]: [course_id#18, title#19]\n\n(20) Filter [codegen id : 3]\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(21) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=176]\n\n(22) BroadcastQueryStage\nOutput [2]: [course_id#18, title#19]\nArguments: 2\n\n(23) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(24) Project\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(25) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=186]\n\n(26) Sort\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(27) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(28) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(29) Filter\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(30) HashAggregate\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(31) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=76]\n\n(32) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(33) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(34) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=80]\n\n(35) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(36) Filter\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(37) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=83]\n\n(38) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(39) Project\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(40) Filter\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(41) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=87]\n\n(42) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(43) Project\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(44) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=91]\n\n(45) Sort\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(46) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(47) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(48) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, 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{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[232,1],[233,6],[234,1685]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[210,1],[211,0],[212,1924]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[221,1],[222,3],[223,2419]]}
{"Event":"SparkListenerJobStart","Job ID":3,"Submission Time":1783092385240,"Stage Infos":[{"Stage ID":3,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":15,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"15\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[14],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":14,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"17\",\"name\":\"WholeStageCodegen (2)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[9],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off 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-Djdk.reflect.useDirectMethodHandle=false","spark.sql.execution.root.id":"0","spark.hadoop.fs.s3a.connection.ssl.enabled":"false","spark.serializer.objectStreamReset":"100","spark.driver.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}}
{"Event":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":3,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":15,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"15\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[14],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":14,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"17\",\"name\":\"WholeStageCodegen (2)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[9],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of 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-Djdk.reflect.useDirectMethodHandle=false","spark.sql.execution.root.id":"0","spark.hadoop.fs.s3a.connection.ssl.enabled":"false","spark.serializer.objectStreamReset":"100","spark.driver.extraJavaOptions":"-Djava.net.preferIPv6Addresses=false -XX:+IgnoreUnrecognizedVMOptions --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}}
{"Event":"SparkListenerJobStart","Job ID":4,"Submission Time":1783092385260,"Stage Infos":[{"Stage ID":4,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":13,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"16\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[12],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":7,"Name":"FileScanRDD","Scope":"{\"id\":\"29\",\"name\":\"Scan parquet \"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off 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(runId 5f37b177-024c-4c95-9fc5-23cc1b3cc247)","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":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[303,200]]}
{"Event":"SparkListenerStageSubmitted","Stage Info":{"Stage ID":4,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":13,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"16\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[12],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":7,"Name":"FileScanRDD","Scope":"{\"id\":\"29\",\"name\":\"Scan parquet \"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of 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IDs":[],"Details":"org.apache.spark.sql.execution.SQLExecution$.$anonfun$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":1783092385264,"Accumulables":[],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers 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--add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}}
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{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":3,"Stage Attempt ID":0,"Stage Name":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Number of Tasks":1,"RDD Info":[{"RDD ID":15,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"15\",\"name\":\"BroadcastExchange\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[14],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":14,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"17\",\"name\":\"WholeStageCodegen (2)\"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[9],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":9,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"31\",\"name\":\"Scan parquet \"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[6],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":6,"Name":"FileScanRDD","Scope":"{\"id\":\"31\",\"name\":\"Scan parquet \"}","Callsite":"$anonfun$withThreadLocalCaptured$1 at FutureTask.java:264","Parent IDs":[],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[],"Details":"org.apache.spark.sql.execution.SQLExecution$.$anonfun$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":1783092385246,"Completion Time":1783092386026,"Accumulables":[{"ID":219,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":220,"Name":"scan time","Value":"378","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":339,"Name":"duration","Value":"381","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":340,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":341,"Name":"number of output rows","Value":"18","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":342,"Name":"number of input batches","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":352,"Name":"internal.metrics.executorDeserializeTime","Value":157,"Internal":true,"Count Failed Values":true},{"ID":353,"Name":"internal.metrics.executorDeserializeCpuTime","Value":67340389,"Internal":true,"Count Failed Values":true},{"ID":354,"Name":"internal.metrics.executorRunTime","Value":591,"Internal":true,"Count Failed Values":true},{"ID":355,"Name":"internal.metrics.executorCpuTime","Value":320512303,"Internal":true,"Count Failed Values":true},{"ID":356,"Name":"internal.metrics.resultSize","Value":2491,"Internal":true,"Count Failed Values":true},{"ID":358,"Name":"internal.metrics.resultSerializationTime","Value":1,"Internal":true,"Count Failed Values":true},{"ID":383,"Name":"internal.metrics.input.bytesRead","Value":6508,"Internal":true,"Count Failed Values":true},{"ID":384,"Name":"internal.metrics.input.recordsRead","Value":18,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":3,"Completion Time":1783092386026,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[338,3],[337,26],[336,1062],[335,18],[334,1048720]]}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerDriverAccumUpdates","executionId":0,"accumUpdates":[[347,2],[346,30],[345,1060],[344,5],[343,1048616]]}
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{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":5,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":17,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"19\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[16],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":8,"Name":"FileScanRDD","Scope":"{\"id\":\"33\",\"name\":\"Scan parquet \"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"DETERMINATE","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk 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{"Event":"SparkListenerJobEnd","Job ID":5,"Completion Time":1783092386084,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (50)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (30)\n   +- WriteFiles (29)\n      +- Sort (28)\n         +- Exchange (27)\n            +- Project (26)\n               +- BroadcastHashJoin Inner BuildRight (25)\n                  :- Project (19)\n                  :  +- BroadcastHashJoin Inner BuildRight (18)\n                  :     :- HashAggregate (12)\n                  :     :  +- ShuffleQueryStage (11)\n                  :     :     +- Exchange (10)\n                  :     :        +- * HashAggregate (9)\n                  :     :           +- * HashAggregate (8)\n                  :     :              +- AQEShuffleRead (7)\n                  :     :                 +- ShuffleQueryStage (6), Statistics(sizeInBytes=3.0 KiB, rowCount=55)\n                  :     :                    +- Exchange (5)\n                  :     :                       +- * HashAggregate (4)\n                  :     :                          +- * Filter (3)\n                  :     :                             +- * ColumnarToRow (2)\n                  :     :                                +- Scan parquet  (1)\n                  :     +- BroadcastQueryStage (17), Statistics(sizeInBytes=1024.1 KiB, rowCount=18)\n                  :        +- BroadcastExchange (16)\n                  :           +- * Filter (15)\n                  :              +- * ColumnarToRow (14)\n                  :                 +- Scan parquet  (13)\n                  +- BroadcastQueryStage (24), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                     +- BroadcastExchange (23)\n                        +- * Filter (22)\n                           +- * ColumnarToRow (21)\n                              +- Scan parquet  (20)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (49)\n   +- WriteFiles (48)\n      +- Sort (47)\n         +- Exchange (46)\n            +- Project (45)\n               +- BroadcastHashJoin Inner BuildRight (44)\n                  :- Project (41)\n                  :  +- BroadcastHashJoin Inner BuildRight (40)\n                  :     :- HashAggregate (37)\n                  :     :  +- Exchange (36)\n                  :     :     +- HashAggregate (35)\n                  :     :        +- HashAggregate (34)\n                  :     :           +- Exchange (33)\n                  :     :              +- HashAggregate (32)\n                  :     :                 +- Filter (31)\n                  :     :                    +- Scan parquet  (1)\n                  :     +- BroadcastExchange (39)\n                  :        +- Filter (38)\n                  :           +- Scan parquet  (13)\n                  +- BroadcastExchange (43)\n                     +- Filter (42)\n                        +- Scan parquet  (20)\n\n\n(1) Scan parquet \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/fact_lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>\n\n(2) ColumnarToRow [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\n\n(3) Filter [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(4) HashAggregate [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(5) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=137]\n\n(6) ShuffleQueryStage\nOutput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: 0\n\n(7) AQEShuffleRead\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: coalesced\n\n(8) HashAggregate [codegen id : 4]\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(9) HashAggregate [codegen id : 4]\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(10) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=276]\n\n(11) ShuffleQueryStage\nOutput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: 3\n\n(12) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(13) Scan parquet \nOutput [2]: [lesson_id#8, title#10]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_lesson.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:int,title:string>\n\n(14) ColumnarToRow [codegen id : 2]\nInput [2]: [lesson_id#8, title#10]\n\n(15) Filter [codegen id : 2]\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(16) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=159]\n\n(17) BroadcastQueryStage\nOutput [2]: [lesson_id#8, title#10]\nArguments: 1\n\n(18) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(19) Project\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(20) Scan parquet \nOutput [2]: [course_id#18, title#19]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_course.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:int,title:string>\n\n(21) ColumnarToRow [codegen id : 3]\nInput [2]: [course_id#18, title#19]\n\n(22) Filter [codegen id : 3]\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(23) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=176]\n\n(24) BroadcastQueryStage\nOutput [2]: [course_id#18, title#19]\nArguments: 2\n\n(25) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(26) Project\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(27) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=292]\n\n(28) Sort\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(29) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(30) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(31) Filter\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(32) HashAggregate\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(33) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=76]\n\n(34) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(35) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(36) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=80]\n\n(37) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(38) Filter\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(39) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=83]\n\n(40) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(41) Project\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(42) Filter\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(43) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=87]\n\n(44) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(45) Project\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(46) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=91]\n\n(47) Sort\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(48) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(49) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(50) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=false\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=false","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"Sort","simpleString":"Sort [lesson_id#1 ASC NULLS FIRST], true, 0","children":[{"nodeName":"Exchange","simpleString":"Exchange rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=292]","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [course_id#2], [course_id#18], Inner, BuildRight, false","children":[{"nodeName":"Project","simpleString":"Project [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]","children":[{"nodeName":"BroadcastHashJoin","simpleString":"BroadcastHashJoin [lesson_id#1], [lesson_id#8], Inner, BuildRight, false","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2], functions=[count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)])","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 3","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=276]","children":[{"nodeName":"WholeStageCodegen (4)","simpleString":"WholeStageCodegen (4)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2], functions=[merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)])","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2, user_id#0], functions=[merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)])","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 0","children":[{"nodeName":"Exchange","simpleString":"Exchange hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=137]","children":[{"nodeName":"WholeStageCodegen (1)","simpleString":"WholeStageCodegen (1)","children":[{"nodeName":"HashAggregate","simpleString":"HashAggregate(keys=[lesson_id#1, course_id#2, user_id#0], functions=[partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)])","children":[{"nodeName":"Filter","simpleString":"Filter (isnotnull(lesson_id#1) AND isnotnull(course_id#2))","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [user_id#0,lesson_id#1,course_id#2,viewed_at#3] Batched: true, DataFilters: [isnotnull(lesson_id#1), isnotnull(course_id#2)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/fact_lesson_views.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id), IsNotNull(course_id)], ReadSchema: struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/fact_lesson_views.parquet]","ReadSchema":"struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(lesson_id), IsNotNull(course_id)]","DataFilters":"[isnotnull(lesson_id#1), isnotnull(course_id#2)]"},"metrics":[{"name":"number of files read","accumulatorId":210,"metricType":"sum"},{"name":"scan time","accumulatorId":209,"metricType":"timing"},{"name":"metadata time","accumulatorId":211,"metricType":"timing"},{"name":"size of files read","accumulatorId":212,"metricType":"size"},{"name":"number of output rows","accumulatorId":208,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output rows","accumulatorId":332,"metricType":"sum"},{"name":"number of input batches","accumulatorId":333,"metricType":"sum"}]}],"metadata":{},"metrics":[{"name":"number of output 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fetched","accumulatorId":314,"metricType":"sum"},{"name":"corrupt merged block chunks","accumulatorId":311,"metricType":"sum"},{"name":"remote merged reqs duration","accumulatorId":320,"metricType":"timing"},{"name":"remote merged blocks fetched","accumulatorId":313,"metricType":"sum"},{"name":"records read","accumulatorId":310,"metricType":"sum"},{"name":"local bytes read","accumulatorId":308,"metricType":"size"},{"name":"fetch wait time","accumulatorId":309,"metricType":"timing"},{"name":"remote bytes read","accumulatorId":306,"metricType":"size"},{"name":"merged fetch fallback count","accumulatorId":312,"metricType":"sum"},{"name":"local blocks read","accumulatorId":305,"metricType":"sum"},{"name":"remote merged chunks fetched","accumulatorId":315,"metricType":"sum"},{"name":"remote blocks read","accumulatorId":304,"metricType":"sum"},{"name":"data size","accumulatorId":302,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":318,"metricType":"size"},{"name":"number of partitions","accumulatorId":303,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":319,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":307,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":321,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of partitions","accumulatorId":531,"metricType":"sum"},{"name":"partition data size","accumulatorId":532,"metricType":"size"},{"name":"number of coalesced partitions","accumulatorId":533,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":527,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":528,"metricType":"timing"},{"name":"peak memory","accumulatorId":526,"metricType":"size"},{"name":"number of output rows","accumulatorId":525,"metricType":"sum"},{"name":"number of sort fallback 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size","accumulatorId":496,"metricType":"size"},{"name":"local merged bytes read","accumulatorId":512,"metricType":"size"},{"name":"number of partitions","accumulatorId":497,"metricType":"sum"},{"name":"remote reqs duration","accumulatorId":513,"metricType":"timing"},{"name":"remote bytes read to disk","accumulatorId":501,"metricType":"size"},{"name":"shuffle bytes written","accumulatorId":515,"metricType":"size"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"spill size","accumulatorId":492,"metricType":"size"},{"name":"time in aggregation build","accumulatorId":493,"metricType":"timing"},{"name":"peak memory","accumulatorId":491,"metricType":"size"},{"name":"number of output rows","accumulatorId":490,"metricType":"sum"},{"name":"number of sort fallback tasks","accumulatorId":495,"metricType":"sum"},{"name":"avg hash probes per key","accumulatorId":494,"metricType":"average"}]},{"nodeName":"BroadcastQueryStage","simpleString":"BroadcastQueryStage 1","children":[{"nodeName":"BroadcastExchange","simpleString":"BroadcastExchange HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=159]","children":[{"nodeName":"WholeStageCodegen (2)","simpleString":"WholeStageCodegen (2)","children":[{"nodeName":"Filter","simpleString":"Filter isnotnull(lesson_id#8)","children":[{"nodeName":"ColumnarToRow","simpleString":"ColumnarToRow","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"Scan parquet ","simpleString":"FileScan parquet [lesson_id#8,title#10] Batched: true, DataFilters: [isnotnull(lesson_id#8)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/dim_lesson.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(lesson_id)], ReadSchema: struct<lesson_id:int,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 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Values":true},{"ID":557,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":558,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":559,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":560,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":561,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":562,"Name":"internal.metrics.shuffle.write.bytesWritten","Update":1282,"Value":1282,"Internal":true,"Count Failed Values":true},{"ID":563,"Name":"internal.metrics.shuffle.write.recordsWritten","Update":15,"Value":15,"Internal":true,"Count Failed Values":true},{"ID":564,"Name":"internal.metrics.shuffle.write.writeTime","Update":6404520,"Value":6404520,"Internal":true,"Count Failed Values":true}]},"Task Executor Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":35,"Executor Deserialize CPU Time":28512655,"Executor Run Time":212,"Executor CPU Time":187396014,"Peak Execution Memory":524288,"Result Size":6098,"JVM GC Time":11,"Result Serialization Time":0,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":1,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":4078,"Total Records Read":55,"Remote Requests Duration":0,"Push Based Shuffle":{"Corrupt Merged Block Chunks":0,"Merged Fetch Fallback Count":0,"Merged Remote Blocks Fetched":0,"Merged Local Blocks Fetched":0,"Merged Remote Chunks Fetched":0,"Merged Local Chunks Fetched":0,"Merged Remote Bytes Read":0,"Merged Local Bytes Read":0,"Merged Remote Requests Duration":0}},"Shuffle Write Metrics":{"Shuffle Bytes Written":1282,"Shuffle Write Time":6404520,"Shuffle Records Written":15},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":7,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":20,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"42\",\"name\":\"Exchange\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[19],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":18,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"47\",\"name\":\"AQEShuffleRead\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[17],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":19,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"43\",\"name\":\"WholeStageCodegen (4)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[18],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[6],"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":1783092386171,"Completion Time":1783092386443,"Accumulables":[{"ID":305,"Name":"local blocks read","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":308,"Name":"local bytes read","Value":"4078","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":309,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":310,"Name":"records read","Value":"55","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":496,"Name":"data size","Value":"840","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":515,"Name":"shuffle bytes written","Value":"1282","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":516,"Name":"shuffle records written","Value":"15","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":517,"Name":"shuffle write time","Value":"6404520","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":518,"Name":"duration","Value":"81","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":519,"Name":"number of output rows","Value":"15","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":520,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":522,"Name":"time in aggregation build","Value":"21","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":525,"Name":"number of output rows","Value":"55","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":526,"Name":"peak memory","Value":"262144","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":528,"Name":"time in aggregation build","Value":"7","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":534,"Name":"internal.metrics.executorDeserializeTime","Value":35,"Internal":true,"Count Failed Values":true},{"ID":535,"Name":"internal.metrics.executorDeserializeCpuTime","Value":28512655,"Internal":true,"Count Failed Values":true},{"ID":536,"Name":"internal.metrics.executorRunTime","Value":212,"Internal":true,"Count Failed Values":true},{"ID":537,"Name":"internal.metrics.executorCpuTime","Value":187396014,"Internal":true,"Count Failed Values":true},{"ID":538,"Name":"internal.metrics.resultSize","Value":6098,"Internal":true,"Count Failed Values":true},{"ID":539,"Name":"internal.metrics.jvmGCTime","Value":11,"Internal":true,"Count Failed Values":true},{"ID":543,"Name":"internal.metrics.peakExecutionMemory","Value":524288,"Internal":true,"Count Failed Values":true},{"ID":545,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":546,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":547,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":548,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":549,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":4078,"Internal":true,"Count Failed Values":true},{"ID":550,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":551,"Name":"internal.metrics.shuffle.read.recordsRead","Value":55,"Internal":true,"Count Failed Values":true},{"ID":552,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":553,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":554,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":555,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":556,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":557,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":558,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":559,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":560,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":561,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":562,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":1282,"Internal":true,"Count Failed Values":true},{"ID":563,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":15,"Internal":true,"Count Failed Values":true},{"ID":564,"Name":"internal.metrics.shuffle.write.writeTime","Value":6404520,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":6,"Completion Time":1783092386443,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (52)\n+- == Current Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (32)\n   +- WriteFiles (31)\n      +- Sort (30)\n         +- ShuffleQueryStage (29)\n            +- Exchange (28)\n               +- * Project (27)\n                  +- * BroadcastHashJoin Inner BuildRight (26)\n                     :- * Project (20)\n                     :  +- * BroadcastHashJoin Inner BuildRight (19)\n                     :     :- * HashAggregate (13)\n                     :     :  +- AQEShuffleRead (12)\n                     :     :     +- ShuffleQueryStage (11), Statistics(sizeInBytes=840.0 B, rowCount=15)\n                     :     :        +- Exchange (10)\n                     :     :           +- * HashAggregate (9)\n                     :     :              +- * HashAggregate (8)\n                     :     :                 +- AQEShuffleRead (7)\n                     :     :                    +- ShuffleQueryStage (6), Statistics(sizeInBytes=3.0 KiB, rowCount=55)\n                     :     :                       +- Exchange (5)\n                     :     :                          +- * HashAggregate (4)\n                     :     :                             +- * Filter (3)\n                     :     :                                +- * ColumnarToRow (2)\n                     :     :                                   +- Scan parquet  (1)\n                     :     +- BroadcastQueryStage (18), Statistics(sizeInBytes=1024.1 KiB, rowCount=18)\n                     :        +- BroadcastExchange (17)\n                     :           +- * Filter (16)\n                     :              +- * ColumnarToRow (15)\n                     :                 +- Scan parquet  (14)\n                     +- BroadcastQueryStage (25), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                        +- BroadcastExchange (24)\n                           +- * Filter (23)\n                              +- * ColumnarToRow (22)\n                                 +- Scan parquet  (21)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (51)\n   +- WriteFiles (50)\n      +- Sort (49)\n         +- Exchange (48)\n            +- Project (47)\n               +- BroadcastHashJoin Inner BuildRight (46)\n                  :- Project (43)\n                  :  +- BroadcastHashJoin Inner BuildRight (42)\n                  :     :- HashAggregate (39)\n                  :     :  +- Exchange (38)\n                  :     :     +- HashAggregate (37)\n                  :     :        +- HashAggregate (36)\n                  :     :           +- Exchange (35)\n                  :     :              +- HashAggregate (34)\n                  :     :                 +- Filter (33)\n                  :     :                    +- Scan parquet  (1)\n                  :     +- BroadcastExchange (41)\n                  :        +- Filter (40)\n                  :           +- Scan parquet  (14)\n                  +- BroadcastExchange (45)\n                     +- Filter (44)\n                        +- Scan parquet  (21)\n\n\n(1) Scan parquet \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/fact_lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>\n\n(2) ColumnarToRow [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\n\n(3) Filter [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(4) HashAggregate [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(5) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=137]\n\n(6) ShuffleQueryStage\nOutput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: 0\n\n(7) AQEShuffleRead\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: coalesced\n\n(8) HashAggregate [codegen id : 4]\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(9) HashAggregate [codegen id : 4]\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(10) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=276]\n\n(11) ShuffleQueryStage\nOutput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: 3\n\n(12) AQEShuffleRead\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: coalesced\n\n(13) HashAggregate [codegen id : 5]\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(14) Scan parquet \nOutput [2]: [lesson_id#8, title#10]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_lesson.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:int,title:string>\n\n(15) ColumnarToRow [codegen id : 2]\nInput [2]: [lesson_id#8, title#10]\n\n(16) Filter [codegen id : 2]\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(17) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=159]\n\n(18) BroadcastQueryStage\nOutput [2]: [lesson_id#8, title#10]\nArguments: 1\n\n(19) BroadcastHashJoin [codegen id : 5]\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(20) Project [codegen id : 5]\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(21) Scan parquet \nOutput [2]: [course_id#18, title#19]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_course.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:int,title:string>\n\n(22) ColumnarToRow [codegen id : 3]\nInput [2]: [course_id#18, title#19]\n\n(23) Filter [codegen id : 3]\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(24) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=176]\n\n(25) BroadcastQueryStage\nOutput [2]: [course_id#18, title#19]\nArguments: 2\n\n(26) BroadcastHashJoin [codegen id : 5]\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(27) Project [codegen id : 5]\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(28) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=354]\n\n(29) ShuffleQueryStage\nOutput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: 4\n\n(30) Sort\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(31) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(32) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(33) Filter\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(34) HashAggregate\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(35) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=76]\n\n(36) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(37) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(38) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=80]\n\n(39) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(40) Filter\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(41) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=83]\n\n(42) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(43) Project\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(44) Filter\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(45) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=87]\n\n(46) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(47) Project\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(48) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=91]\n\n(49) Sort\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, 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--add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false"}}
{"Event":"SparkListenerTaskStart","Stage ID":13,"Stage Attempt ID":0,"Task Info":{"Task ID":8,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1783092386744,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":0,"Failed":false,"Killed":false,"Accumulables":[]}}
{"Event":"SparkListenerTaskEnd","Stage ID":13,"Stage Attempt ID":0,"Task Type":"ShuffleMapTask","Task End Reason":{"Reason":"Success"},"Task Info":{"Task ID":8,"Index":0,"Attempt":0,"Partition ID":0,"Launch Time":1783092386744,"Executor ID":"0","Host":"172.28.0.49","Locality":"NODE_LOCAL","Speculative":false,"Getting Result Time":0,"Finish Time":1783092386810,"Failed":false,"Killed":false,"Accumulables":[{"ID":499,"Name":"local blocks read","Update":"1","Value":"2","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":502,"Name":"local bytes read","Update":"1282","Value":"2564","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":503,"Name":"fetch wait time","Update":"0","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":504,"Name":"records read","Update":"15","Value":"30","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":578,"Name":"data size","Update":"2032","Value":"2032","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":597,"Name":"shuffle bytes written","Update":"2361","Value":"2361","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":598,"Name":"shuffle records written","Update":"15","Value":"15","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":599,"Name":"shuffle write time","Update":"1575593","Value":"1575593","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":600,"Name":"duration","Update":"11","Value":"51","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":601,"Name":"number of output rows","Update":"15","Value":"30","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":602,"Name":"number of output rows","Update":"15","Value":"30","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":603,"Name":"number of output rows","Update":"15","Value":"30","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":604,"Name":"peak memory","Update":"4456432","Value":"8912864","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":606,"Name":"time in aggregation build","Update":"0","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":607,"Name":"avg hash probes per key","Update":"10","Value":"20","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":647,"Name":"internal.metrics.executorDeserializeTime","Update":40,"Value":40,"Internal":true,"Count Failed Values":true},{"ID":648,"Name":"internal.metrics.executorDeserializeCpuTime","Update":33953821,"Value":33953821,"Internal":true,"Count Failed Values":true},{"ID":649,"Name":"internal.metrics.executorRunTime","Update":17,"Value":17,"Internal":true,"Count Failed Values":true},{"ID":650,"Name":"internal.metrics.executorCpuTime","Update":17089933,"Value":17089933,"Internal":true,"Count Failed Values":true},{"ID":651,"Name":"internal.metrics.resultSize","Update":9228,"Value":9228,"Internal":true,"Count Failed Values":true},{"ID":656,"Name":"internal.metrics.peakExecutionMemory","Update":4458032,"Value":4458032,"Internal":true,"Count Failed Values":true},{"ID":658,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":659,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Update":1,"Value":1,"Internal":true,"Count Failed Values":true},{"ID":660,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":661,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":662,"Name":"internal.metrics.shuffle.read.localBytesRead","Update":1282,"Value":1282,"Internal":true,"Count Failed Values":true},{"ID":663,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":664,"Name":"internal.metrics.shuffle.read.recordsRead","Update":15,"Value":15,"Internal":true,"Count Failed Values":true},{"ID":665,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":666,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":667,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":668,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":669,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":670,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":671,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":672,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":673,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":674,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Update":0,"Value":0,"Internal":true,"Count Failed Values":true},{"ID":675,"Name":"internal.metrics.shuffle.write.bytesWritten","Update":2361,"Value":2361,"Internal":true,"Count Failed Values":true},{"ID":676,"Name":"internal.metrics.shuffle.write.recordsWritten","Update":15,"Value":15,"Internal":true,"Count Failed Values":true},{"ID":677,"Name":"internal.metrics.shuffle.write.writeTime","Update":1575593,"Value":1575593,"Internal":true,"Count Failed Values":true}]},"Task Executor Metrics":{"JVMHeapMemory":0,"JVMOffHeapMemory":0,"OnHeapExecutionMemory":0,"OffHeapExecutionMemory":0,"OnHeapStorageMemory":0,"OffHeapStorageMemory":0,"OnHeapUnifiedMemory":0,"OffHeapUnifiedMemory":0,"DirectPoolMemory":0,"MappedPoolMemory":0,"ProcessTreeJVMVMemory":0,"ProcessTreeJVMRSSMemory":0,"ProcessTreePythonVMemory":0,"ProcessTreePythonRSSMemory":0,"ProcessTreeOtherVMemory":0,"ProcessTreeOtherRSSMemory":0,"MinorGCCount":0,"MinorGCTime":0,"MajorGCCount":0,"MajorGCTime":0,"TotalGCTime":0},"Task Metrics":{"Executor Deserialize Time":40,"Executor Deserialize CPU Time":33953821,"Executor Run Time":17,"Executor CPU Time":17089933,"Peak Execution Memory":4458032,"Result Size":9228,"JVM GC Time":0,"Result Serialization Time":0,"Memory Bytes Spilled":0,"Disk Bytes Spilled":0,"Shuffle Read Metrics":{"Remote Blocks Fetched":0,"Local Blocks Fetched":1,"Fetch Wait Time":0,"Remote Bytes Read":0,"Remote Bytes Read To Disk":0,"Local Bytes Read":1282,"Total Records Read":15,"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":2361,"Shuffle Write Time":1575593,"Shuffle Records Written":15},"Input Metrics":{"Bytes Read":0,"Records Read":0},"Output Metrics":{"Bytes Written":0,"Records Written":0},"Updated Blocks":[]}}
{"Event":"SparkListenerStageCompleted","Stage Info":{"Stage ID":13,"Stage Attempt ID":0,"Stage Name":"parquet at NativeMethodAccessorImpl.java:0","Number of Tasks":1,"RDD Info":[{"RDD ID":26,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"48\",\"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":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":22,"Name":"MapPartitionsRDD","Scope":"{\"id\":\"49\",\"name\":\"WholeStageCodegen (5)\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[21],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0},{"RDD ID":21,"Name":"ShuffledRowRDD","Scope":"{\"id\":\"64\",\"name\":\"AQEShuffleRead\"}","Callsite":"parquet at NativeMethodAccessorImpl.java:0","Parent IDs":[20],"Storage Level":{"Use Disk":false,"Use Memory":false,"Use Off Heap":false,"Deserialized":false,"Replication":1},"Barrier":false,"DeterministicLevel":"UNORDERED","Number of Partitions":1,"Number of Cached Partitions":0,"Memory Size":0,"Disk Size":0}],"Parent IDs":[12],"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":1783092386733,"Completion Time":1783092386811,"Accumulables":[{"ID":499,"Name":"local blocks read","Value":"2","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":502,"Name":"local bytes read","Value":"2564","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":503,"Name":"fetch wait time","Value":"0","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":504,"Name":"records read","Value":"30","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":578,"Name":"data size","Value":"2032","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":597,"Name":"shuffle bytes written","Value":"2361","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":598,"Name":"shuffle records written","Value":"15","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":599,"Name":"shuffle write time","Value":"1575593","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":600,"Name":"duration","Value":"51","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":601,"Name":"number of output rows","Value":"30","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":602,"Name":"number of output rows","Value":"30","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":603,"Name":"number of output rows","Value":"30","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":604,"Name":"peak memory","Value":"8912864","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":606,"Name":"time in aggregation build","Value":"1","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":607,"Name":"avg hash probes per key","Value":"20","Internal":true,"Count Failed Values":true,"Metadata":"sql"},{"ID":647,"Name":"internal.metrics.executorDeserializeTime","Value":40,"Internal":true,"Count Failed Values":true},{"ID":648,"Name":"internal.metrics.executorDeserializeCpuTime","Value":33953821,"Internal":true,"Count Failed Values":true},{"ID":649,"Name":"internal.metrics.executorRunTime","Value":17,"Internal":true,"Count Failed Values":true},{"ID":650,"Name":"internal.metrics.executorCpuTime","Value":17089933,"Internal":true,"Count Failed Values":true},{"ID":651,"Name":"internal.metrics.resultSize","Value":9228,"Internal":true,"Count Failed Values":true},{"ID":656,"Name":"internal.metrics.peakExecutionMemory","Value":4458032,"Internal":true,"Count Failed Values":true},{"ID":658,"Name":"internal.metrics.shuffle.read.remoteBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":659,"Name":"internal.metrics.shuffle.read.localBlocksFetched","Value":1,"Internal":true,"Count Failed Values":true},{"ID":660,"Name":"internal.metrics.shuffle.read.remoteBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":661,"Name":"internal.metrics.shuffle.read.remoteBytesReadToDisk","Value":0,"Internal":true,"Count Failed Values":true},{"ID":662,"Name":"internal.metrics.shuffle.read.localBytesRead","Value":1282,"Internal":true,"Count Failed Values":true},{"ID":663,"Name":"internal.metrics.shuffle.read.fetchWaitTime","Value":0,"Internal":true,"Count Failed Values":true},{"ID":664,"Name":"internal.metrics.shuffle.read.recordsRead","Value":15,"Internal":true,"Count Failed Values":true},{"ID":665,"Name":"internal.metrics.shuffle.push.read.corruptMergedBlockChunks","Value":0,"Internal":true,"Count Failed Values":true},{"ID":666,"Name":"internal.metrics.shuffle.push.read.mergedFetchFallbackCount","Value":0,"Internal":true,"Count Failed Values":true},{"ID":667,"Name":"internal.metrics.shuffle.push.read.remoteMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":668,"Name":"internal.metrics.shuffle.push.read.localMergedBlocksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":669,"Name":"internal.metrics.shuffle.push.read.remoteMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":670,"Name":"internal.metrics.shuffle.push.read.localMergedChunksFetched","Value":0,"Internal":true,"Count Failed Values":true},{"ID":671,"Name":"internal.metrics.shuffle.push.read.remoteMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":672,"Name":"internal.metrics.shuffle.push.read.localMergedBytesRead","Value":0,"Internal":true,"Count Failed Values":true},{"ID":673,"Name":"internal.metrics.shuffle.read.remoteReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":674,"Name":"internal.metrics.shuffle.push.read.remoteMergedReqsDuration","Value":0,"Internal":true,"Count Failed Values":true},{"ID":675,"Name":"internal.metrics.shuffle.write.bytesWritten","Value":2361,"Internal":true,"Count Failed Values":true},{"ID":676,"Name":"internal.metrics.shuffle.write.recordsWritten","Value":15,"Internal":true,"Count Failed Values":true},{"ID":677,"Name":"internal.metrics.shuffle.write.writeTime","Value":1575593,"Internal":true,"Count Failed Values":true}],"Resource Profile Id":0,"Shuffle Push Enabled":false,"Shuffle Push Mergers Count":0}}
{"Event":"SparkListenerJobEnd","Job ID":8,"Completion Time":1783092386814,"Job Result":{"Result":"JobSucceeded"}}
{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate","executionId":0,"physicalPlanDescription":"== Physical Plan ==\nAdaptiveSparkPlan (53)\n+- == Final Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (33)\n   +- WriteFiles (32)\n      +- * Sort (31)\n         +- AQEShuffleRead (30)\n            +- ShuffleQueryStage (29), Statistics(sizeInBytes=2032.0 B, rowCount=15)\n               +- Exchange (28)\n                  +- * Project (27)\n                     +- * BroadcastHashJoin Inner BuildRight (26)\n                        :- * Project (20)\n                        :  +- * BroadcastHashJoin Inner BuildRight (19)\n                        :     :- * HashAggregate (13)\n                        :     :  +- AQEShuffleRead (12)\n                        :     :     +- ShuffleQueryStage (11), Statistics(sizeInBytes=840.0 B, rowCount=15)\n                        :     :        +- Exchange (10)\n                        :     :           +- * HashAggregate (9)\n                        :     :              +- * HashAggregate (8)\n                        :     :                 +- AQEShuffleRead (7)\n                        :     :                    +- ShuffleQueryStage (6), Statistics(sizeInBytes=3.0 KiB, rowCount=55)\n                        :     :                       +- Exchange (5)\n                        :     :                          +- * HashAggregate (4)\n                        :     :                             +- * Filter (3)\n                        :     :                                +- * ColumnarToRow (2)\n                        :     :                                   +- Scan parquet  (1)\n                        :     +- BroadcastQueryStage (18), Statistics(sizeInBytes=1024.1 KiB, rowCount=18)\n                        :        +- BroadcastExchange (17)\n                        :           +- * Filter (16)\n                        :              +- * ColumnarToRow (15)\n                        :                 +- Scan parquet  (14)\n                        +- BroadcastQueryStage (25), Statistics(sizeInBytes=1024.0 KiB, rowCount=5)\n                           +- BroadcastExchange (24)\n                              +- * Filter (23)\n                                 +- * ColumnarToRow (22)\n                                    +- Scan parquet  (21)\n+- == Initial Plan ==\n   Execute InsertIntoHadoopFsRelationCommand (52)\n   +- WriteFiles (51)\n      +- Sort (50)\n         +- Exchange (49)\n            +- Project (48)\n               +- BroadcastHashJoin Inner BuildRight (47)\n                  :- Project (44)\n                  :  +- BroadcastHashJoin Inner BuildRight (43)\n                  :     :- HashAggregate (40)\n                  :     :  +- Exchange (39)\n                  :     :     +- HashAggregate (38)\n                  :     :        +- HashAggregate (37)\n                  :     :           +- Exchange (36)\n                  :     :              +- HashAggregate (35)\n                  :     :                 +- Filter (34)\n                  :     :                    +- Scan parquet  (1)\n                  :     +- BroadcastExchange (42)\n                  :        +- Filter (41)\n                  :           +- Scan parquet  (14)\n                  +- BroadcastExchange (46)\n                     +- Filter (45)\n                        +- Scan parquet  (21)\n\n\n(1) Scan parquet \nOutput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/fact_lesson_views.parquet]\nPushedFilters: [IsNotNull(lesson_id), IsNotNull(course_id)]\nReadSchema: struct<user_id:int,lesson_id:int,course_id:int,viewed_at:timestamp>\n\n(2) ColumnarToRow [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\n\n(3) Filter [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(4) HashAggregate [codegen id : 1]\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(5) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=137]\n\n(6) ShuffleQueryStage\nOutput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: 0\n\n(7) AQEShuffleRead\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: coalesced\n\n(8) HashAggregate [codegen id : 4]\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(9) HashAggregate [codegen id : 4]\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(10) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=276]\n\n(11) ShuffleQueryStage\nOutput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: 3\n\n(12) AQEShuffleRead\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: coalesced\n\n(13) HashAggregate [codegen id : 5]\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(14) Scan parquet \nOutput [2]: [lesson_id#8, title#10]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_lesson.parquet]\nPushedFilters: [IsNotNull(lesson_id)]\nReadSchema: struct<lesson_id:int,title:string>\n\n(15) ColumnarToRow [codegen id : 2]\nInput [2]: [lesson_id#8, title#10]\n\n(16) Filter [codegen id : 2]\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(17) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=159]\n\n(18) BroadcastQueryStage\nOutput [2]: [lesson_id#8, title#10]\nArguments: 1\n\n(19) BroadcastHashJoin [codegen id : 5]\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(20) Project [codegen id : 5]\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(21) Scan parquet \nOutput [2]: [course_id#18, title#19]\nBatched: true\nLocation: InMemoryFileIndex [s3a://apavlovets-bucket/core/dim_course.parquet]\nPushedFilters: [IsNotNull(course_id)]\nReadSchema: struct<course_id:int,title:string>\n\n(22) ColumnarToRow [codegen id : 3]\nInput [2]: [course_id#18, title#19]\n\n(23) Filter [codegen id : 3]\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(24) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=176]\n\n(25) BroadcastQueryStage\nOutput [2]: [course_id#18, title#19]\nArguments: 2\n\n(26) BroadcastHashJoin [codegen id : 5]\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(27) Project [codegen id : 5]\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(28) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=354]\n\n(29) ShuffleQueryStage\nOutput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: 4\n\n(30) AQEShuffleRead\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: coalesced\n\n(31) Sort [codegen id : 6]\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(32) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(33) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(34) Filter\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nCondition : (isnotnull(lesson_id#1) AND isnotnull(course_id#2))\n\n(35) HashAggregate\nInput [4]: [user_id#0, lesson_id#1, course_id#2, viewed_at#3]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [partial_count(1), partial_min(viewed_at#3), partial_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(36) Exchange\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nArguments: hashpartitioning(lesson_id#1, course_id#2, user_id#0, 200), ENSURE_REQUIREMENTS, [plan_id=76]\n\n(37) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [3]: [lesson_id#1, course_id#2, user_id#0]\nFunctions [3]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3)]\nAggregate Attributes [3]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35]\nResults [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\n\n(38) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, user_id#0, count#124L, min#126, max#128]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [merge_count(1), merge_min(viewed_at#3), merge_max(viewed_at#3), partial_count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\n\n(39) Exchange\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nArguments: hashpartitioning(lesson_id#1, course_id#2, 200), ENSURE_REQUIREMENTS, [plan_id=80]\n\n(40) HashAggregate\nInput [6]: [lesson_id#1, course_id#2, count#124L, min#126, max#128, count#131L]\nKeys [2]: [lesson_id#1, course_id#2]\nFunctions [4]: [count(1), min(viewed_at#3), max(viewed_at#3), count(distinct user_id#0)]\nAggregate Attributes [4]: [count(1)#30L, min(viewed_at#3)#33, max(viewed_at#3)#35, count(user_id#0)#37L]\nResults [6]: [lesson_id#1, course_id#2, count(1)#30L AS total_views#31L, count(user_id#0)#37L AS unique_users#32L, min(viewed_at#3)#33 AS first_view#34, max(viewed_at#3)#35 AS last_view#36]\n\n(41) Filter\nInput [2]: [lesson_id#8, title#10]\nCondition : isnotnull(lesson_id#8)\n\n(42) BroadcastExchange\nInput [2]: [lesson_id#8, title#10]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=83]\n\n(43) BroadcastHashJoin\nLeft keys [1]: [lesson_id#1]\nRight keys [1]: [lesson_id#8]\nJoin type: Inner\nJoin condition: None\n\n(44) Project\nOutput [7]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10]\nInput [8]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, lesson_id#8, title#10]\n\n(45) Filter\nInput [2]: [course_id#18, title#19]\nCondition : isnotnull(course_id#18)\n\n(46) BroadcastExchange\nInput [2]: [course_id#18, title#19]\nArguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=87]\n\n(47) BroadcastHashJoin\nLeft keys [1]: [course_id#2]\nRight keys [1]: [course_id#18]\nJoin type: Inner\nJoin condition: None\n\n(48) Project\nOutput [8]: [lesson_id#1, title#10 AS lesson_title#105, course_id#2, title#19 AS course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nInput [9]: [lesson_id#1, course_id#2, total_views#31L, unique_users#32L, first_view#34, last_view#36, title#10, course_id#18, title#19]\n\n(49) Exchange\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: rangepartitioning(lesson_id#1 ASC NULLS FIRST, 200), ENSURE_REQUIREMENTS, [plan_id=91]\n\n(50) Sort\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\nArguments: [lesson_id#1 ASC NULLS FIRST], true, 0\n\n(51) WriteFiles\nInput [8]: [lesson_id#1, lesson_title#105, course_id#2, course_title#106, total_views#31L, unique_users#32L, first_view#34, last_view#36]\n\n(52) Execute InsertIntoHadoopFsRelationCommand\nInput: []\nArguments: s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]\n\n(53) AdaptiveSparkPlan\nOutput: []\nArguments: isFinalPlan=true\n\n","sparkPlanInfo":{"nodeName":"AdaptiveSparkPlan","simpleString":"AdaptiveSparkPlan isFinalPlan=true","children":[{"nodeName":"Execute InsertIntoHadoopFsRelationCommand","simpleString":"Execute InsertIntoHadoopFsRelationCommand s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet, false, Parquet, [path=s3a://apavlovets-bucket/marts_gp/lesson_popularity_summary.parquet], Overwrite, [lesson_id, lesson_title, course_id, course_title, total_views, unique_users, first_view, last_view]","children":[{"nodeName":"WriteFiles","simpleString":"WriteFiles","children":[{"nodeName":"WholeStageCodegen (6)","simpleString":"WholeStageCodegen (6)","children":[{"nodeName":"Sort","simpleString":"Sort [lesson_id#1 ASC NULLS FIRST], true, 0","children":[{"nodeName":"InputAdapter","simpleString":"InputAdapter","children":[{"nodeName":"AQEShuffleRead","simpleString":"AQEShuffleRead coalesced","children":[{"nodeName":"ShuffleQueryStage","simpleString":"ShuffleQueryStage 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[isnotnull(course_id#18)], Format: Parquet, Location: InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/dim_course.parquet], PartitionFilters: [], PushedFilters: [IsNotNull(course_id)], ReadSchema: struct<course_id:int,title:string>","children":[],"metadata":{"Location":"InMemoryFileIndex(1 paths)[s3a://apavlovets-bucket/core/dim_course.parquet]","ReadSchema":"struct<course_id:int,title:string>","Format":"Parquet","Batched":"true","PartitionFilters":"[]","PushedFilters":"[IsNotNull(course_id)]","DataFilters":"[isnotnull(course_id#18)]"},"metrics":[{"name":"number of files read","accumulatorId":232,"metricType":"sum"},{"name":"scan time","accumulatorId":231,"metricType":"timing"},{"name":"metadata time","accumulatorId":233,"metricType":"timing"},{"name":"size of files read","accumulatorId":234,"metricType":"size"},{"name":"number of output rows","accumulatorId":230,"metricType":"sum"}]}],"metadata":{},"metrics":[]}],"metadata":{},"metrics":[{"name":"number of output 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{"Event":"SparkListenerJobEnd","Job ID":9,"Completion Time":1783092387853,"Job Result":{"Result":"JobSucceeded"}}
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{"Event":"org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionEnd","executionId":0,"time":1783092388049,"errorMessage":""}
{"Event":"SparkListenerApplicationEnd","Timestamp":1783092388051}