[jira] [Updated] (SPARK-23004) Structured Streaming raise "llegalStateException: Cannot remove after already committed or aborted"
[
https://issues.apache.org/jira/browse/SPARK-23004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiao Li updated SPARK-23004:
Fix Version/s: (was: 3.0.0)
2.4.0
> Structured Streaming raise "llegalStateException: Cannot remove after already
> committed or aborted"
> ---
>
> Key: SPARK-23004
> URL: https://issues.apache.org/jira/browse/SPARK-23004
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
>Affects Versions: 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.3.0
> Environment: Run on yarn or local both raise the exception.
>Reporter: secfree
>Assignee: Tathagata Das
>Priority: Major
> Fix For: 2.3.1, 2.4.0
>
>
> A structured streaming query with a streaming aggregation can throw the
> following error in rare cases.
> {code:java}
> java.lang.IllegalStateException: Cannot remove after already committed or
> aborted at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659
> ) at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.remove(HDFSBackedStateStoreProvider.scala:143)
> at
> org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3$$anon$1.hasNext(statefulOperators.scala:233)
> at
> org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.processInputs(ObjectAggregationIterator.scala:191)
> at
> org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.(ObjectAggregationIterator.scala:80)
> at
> org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:111)
> at
> org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:103)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at
> org.apache.spark.scheduler.Task.run(Task.scala:108) at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338) at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745) 18-01-05 13:29:57 WARN
> TaskSetManager:66 Lost task 68.0 in stage 1933.0 (TID 196171, localhost,
> executor driver): java.lang.IllegalStateException: Cannot remove after
> already committed or aborted at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659){code}
>
> This can happen when the following conditions are accidentally hit.
> # Streaming aggregation with aggregation function that is a subset of
> {{[TypedImperativeAggregation|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/interfaces.scala#L473]}}
> (for example, {{collect_set}}, {{collect_list}}, {{percentile}}, etc.).
> # Query running in {{update}} mode
> # After the shuffle, a partition has exactly 128 records.
> This happens because of the following.
> # The {{StateStoreSaveExec}} used in streaming aggregations has the
> [following
> logic|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/statefulOperators.scala#L359]
> when used in {{update}} mode.
> ## There is an iterator that reads data from its parent iterator and updates
> the StateStore.
> ## When the parent iterator is fully consumed (i.e. {{baseIterator.hasNext}}
> returns false) then all state changes are committed by calling
> {{StateStore.commit}}.
> ## The implementation of {{StateStore.commit()}} in {{HDFSBackedStateStore}}
> does not allow itself to be called twice. However, the logic is such that, if
> {{hasNext}} is called multiple times
[jira] [Updated] (SPARK-23004) Structured Streaming raise "llegalStateException: Cannot remove after already committed or aborted"
[
https://issues.apache.org/jira/browse/SPARK-23004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tathagata Das updated SPARK-23004:
--
Target Version/s: 2.3.1, 2.4.0 (was: 2.3.1)
> Structured Streaming raise "llegalStateException: Cannot remove after already
> committed or aborted"
> ---
>
> Key: SPARK-23004
> URL: https://issues.apache.org/jira/browse/SPARK-23004
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
>Affects Versions: 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.3.0
> Environment: Run on yarn or local both raise the exception.
>Reporter: secfree
>Assignee: Tathagata Das
>Priority: Major
>
> A structured streaming query with a streaming aggregation can throw the
> following error in rare cases.
> {code:java}
> java.lang.IllegalStateException: Cannot remove after already committed or
> aborted at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659
> ) at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.remove(HDFSBackedStateStoreProvider.scala:143)
> at
> org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3$$anon$1.hasNext(statefulOperators.scala:233)
> at
> org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.processInputs(ObjectAggregationIterator.scala:191)
> at
> org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.(ObjectAggregationIterator.scala:80)
> at
> org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:111)
> at
> org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:103)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at
> org.apache.spark.scheduler.Task.run(Task.scala:108) at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338) at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745) 18-01-05 13:29:57 WARN
> TaskSetManager:66 Lost task 68.0 in stage 1933.0 (TID 196171, localhost,
> executor driver): java.lang.IllegalStateException: Cannot remove after
> already committed or aborted at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659){code}
>
> This can happen when the following conditions are accidentally hit.
> # Streaming aggregation with aggregation function that is a subset of
> {{[TypedImperativeAggregation|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/interfaces.scala#L473]}}
> (for example, {{collect_set}}, {{collect_list}}, {{percentile}}, etc.).
> # Query running in {{update}} mode
> # After the shuffle, a partition has exactly 128 records.
> This happens because of the following.
> # The {{StateStoreSaveExec}} used in streaming aggregations has the
> [following
> logic|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/statefulOperators.scala#L359]
> when used in {{update}} mode.
> ## There is an iterator that reads data from its parent iterator and updates
> the StateStore.
> ## When the parent iterator is fully consumed (i.e. {{baseIterator.hasNext}}
> returns false) then all state changes are committed by calling
> {{StateStore.commit}}.
> ## The implementation of {{StateStore.commit()}} in {{HDFSBackedStateStore}}
> does not allow itself to be called twice. However, the logic is such that, if
> {{hasNext}} is called multiple times after {{baseIterator.hasNext}} has
>
[jira] [Updated] (SPARK-23004) Structured Streaming raise "llegalStateException: Cannot remove after already committed or aborted"
[
https://issues.apache.org/jira/browse/SPARK-23004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tathagata Das updated SPARK-23004:
--
Component/s: (was: Input/Output)
Structured Streaming
> Structured Streaming raise "llegalStateException: Cannot remove after already
> committed or aborted"
> ---
>
> Key: SPARK-23004
> URL: https://issues.apache.org/jira/browse/SPARK-23004
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
>Affects Versions: 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.3.0
> Environment: Run on yarn or local both raise the exception.
>Reporter: secfree
>Assignee: Tathagata Das
>Priority: Major
>
> A structured streaming query with a streaming aggregation can throw the
> following error in rare cases.
> {code:java}
> java.lang.IllegalStateException: Cannot remove after already committed or
> aborted at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659
> ) at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.remove(HDFSBackedStateStoreProvider.scala:143)
> at
> org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3$$anon$1.hasNext(statefulOperators.scala:233)
> at
> org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.processInputs(ObjectAggregationIterator.scala:191)
> at
> org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.(ObjectAggregationIterator.scala:80)
> at
> org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:111)
> at
> org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:103)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at
> org.apache.spark.scheduler.Task.run(Task.scala:108) at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338) at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745) 18-01-05 13:29:57 WARN
> TaskSetManager:66 Lost task 68.0 in stage 1933.0 (TID 196171, localhost,
> executor driver): java.lang.IllegalStateException: Cannot remove after
> already committed or aborted at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659){code}
>
> This can happen when the following conditions are accidentally hit.
> # Streaming aggregation with aggregation function that is a subset of
> {{[TypedImperativeAggregation|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/interfaces.scala#L473]}}
> (for example, {{collect_set}}, {{collect_list}}, {{percentile}}, etc.).
> # Query running in {{update}} mode
> # After the shuffle, a partition has exactly 128 records.
> This happens because of the following.
> # The {{StateStoreSaveExec}} used in streaming aggregations has the
> [following
> logic|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/statefulOperators.scala#L359]
> when used in {{update}} mode.
> ## There is an iterator that reads data from its parent iterator and updates
> the StateStore.
> ## When the parent iterator is fully consumed (i.e. {{baseIterator.hasNext}}
> returns false) then all state changes are committed by calling
> {{StateStore.commit}}.
> ## The implementation of {{StateStore.commit()}} in {{HDFSBackedStateStore}}
> does not allow itself to be called twice. However, the logic is such that, if
> {{hasNext}} is called multiple times after
[jira] [Updated] (SPARK-23004) Structured Streaming raise "llegalStateException: Cannot remove after already committed or aborted"
[
https://issues.apache.org/jira/browse/SPARK-23004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tathagata Das updated SPARK-23004:
--
Target Version/s: 2.3.1
> Structured Streaming raise "llegalStateException: Cannot remove after already
> committed or aborted"
> ---
>
> Key: SPARK-23004
> URL: https://issues.apache.org/jira/browse/SPARK-23004
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
>Affects Versions: 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.3.0
> Environment: Run on yarn or local both raise the exception.
>Reporter: secfree
>Priority: Major
>
> A structured streaming query with a streaming aggregation can throw the
> following error in rare cases.
> {code:java}
> java.lang.IllegalStateException: Cannot remove after already committed or
> aborted at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659
> ) at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.remove(HDFSBackedStateStoreProvider.scala:143)
> at
> org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3$$anon$1.hasNext(statefulOperators.scala:233)
> at
> org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.processInputs(ObjectAggregationIterator.scala:191)
> at
> org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.(ObjectAggregationIterator.scala:80)
> at
> org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:111)
> at
> org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:103)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at
> org.apache.spark.scheduler.Task.run(Task.scala:108) at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338) at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745) 18-01-05 13:29:57 WARN
> TaskSetManager:66 Lost task 68.0 in stage 1933.0 (TID 196171, localhost,
> executor driver): java.lang.IllegalStateException: Cannot remove after
> already committed or aborted at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659){code}
>
> This can happen when the following conditions are accidentally hit.
> # Streaming aggregation with aggregation function that is a subset of
> {{[TypedImperativeAggregation|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/interfaces.scala#L473]}}
> (for example, {{collect_set}}, {{collect_list}}, {{percentile}}, etc.).
> # Query running in {{update}} mode
> # After the shuffle, a partition has exactly 128 records.
> This happens because of the following.
> # The {{StateStoreSaveExec}} used in streaming aggregations has the
> [following
> logic|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/statefulOperators.scala#L359]
> when used in {{update}} mode.
> ## There is an iterator that reads data from its parent iterator and updates
> the StateStore.
> ## When the parent iterator is fully consumed (i.e. {{baseIterator.hasNext}}
> returns false) then all state changes are committed by calling
> {{StateStore.commit}}.
> ## The implementation of {{StateStore.commit()}} in {{HDFSBackedStateStore}}
> does not allow itself to be called twice. However, the logic is such that, if
> {{hasNext}} is called multiple times after {{baseIterator.hasNext}} has
> returned false then each time it will call {{StateStore.commit}}.
>
[jira] [Updated] (SPARK-23004) Structured Streaming raise "llegalStateException: Cannot remove after already committed or aborted"
[
https://issues.apache.org/jira/browse/SPARK-23004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tathagata Das updated SPARK-23004:
--
Affects Version/s: 2.1.0
2.1.1
2.1.2
2.2.0
2.3.0
> Structured Streaming raise "llegalStateException: Cannot remove after already
> committed or aborted"
> ---
>
> Key: SPARK-23004
> URL: https://issues.apache.org/jira/browse/SPARK-23004
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
>Affects Versions: 2.1.0, 2.1.1, 2.1.2, 2.2.0, 2.2.1, 2.3.0
> Environment: Run on yarn or local both raise the exception.
>Reporter: secfree
>Priority: Major
>
> A structured streaming query with a streaming aggregation can throw the
> following error in rare cases.
> {code:java}
> java.lang.IllegalStateException: Cannot remove after already committed or
> aborted at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659
> ) at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.remove(HDFSBackedStateStoreProvider.scala:143)
> at
> org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3$$anon$1.hasNext(statefulOperators.scala:233)
> at
> org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.processInputs(ObjectAggregationIterator.scala:191)
> at
> org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.(ObjectAggregationIterator.scala:80)
> at
> org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:111)
> at
> org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:103)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at
> org.apache.spark.scheduler.Task.run(Task.scala:108) at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338) at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745) 18-01-05 13:29:57 WARN
> TaskSetManager:66 Lost task 68.0 in stage 1933.0 (TID 196171, localhost,
> executor driver): java.lang.IllegalStateException: Cannot remove after
> already committed or aborted at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659){code}
>
> This can happen when the following conditions are accidentally hit.
> # Streaming aggregation with aggregation function that is a subset of
> {{[TypedImperativeAggregation|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/interfaces.scala#L473]}}
> (for example, {{collect_set}}, {{collect_list}}, {{percentile}}, etc.).
> # Query running in {{update}} mode
> # After the shuffle, a partition has exactly 128 records.
> This happens because of the following.
> # The {{StateStoreSaveExec}} used in streaming aggregations has the
> [following
> logic|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/statefulOperators.scala#L359]
> when used in {{update}} mode.
> ## There is an iterator that reads data from its parent iterator and updates
> the StateStore.
> ## When the parent iterator is fully consumed (i.e. {{baseIterator.hasNext}}
> returns false) then all state changes are committed by calling
> {{StateStore.commit}}.
> ## The implementation of {{StateStore.commit()}} in {{HDFSBackedStateStore}}
> does not allow itself to be called twice. However, the logic is such that, if
> {{hasNext}} is called
[jira] [Updated] (SPARK-23004) Structured Streaming raise "llegalStateException: Cannot remove after already committed or aborted"
[
https://issues.apache.org/jira/browse/SPARK-23004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tathagata Das updated SPARK-23004:
--
Description:
{{A structured streaming query with streaming aggregations can throw the
following error in rare cases.
{code:java}
java.lang.IllegalStateException: Cannot remove after already committed or
aborted at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659
) at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.remove(HDFSBackedStateStoreProvider.scala:143)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3$$anon$1.hasNext(statefulOperators.scala:233)
at
org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.processInputs(ObjectAggregationIterator.scala:191)
at
org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.(ObjectAggregationIterator.scala:80)
at
org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:111)
at
org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:103)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at
org.apache.spark.scheduler.Task.run(Task.scala:108) at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338) at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745) 18-01-05 13:29:57 WARN
TaskSetManager:66 Lost task 68.0 in stage 1933.0 (TID 196171, localhost,
executor driver): java.lang.IllegalStateException: Cannot remove after already
committed or aborted at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659){code}
This can happen when the following conditions are accidentally hit.
# Streaming aggregation with aggregation function that is a subset of
{{[TypedImperativeAggregation|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/interfaces.scala#L473]}}
(for example, {{collect_set}}, {{collect_list}}, {{percentile}}, etc.).
# Query running in {{update}} mode
# After the shuffle, a partition has exactly 128 records.
This happens because of the following.
# The {{StateStoreSaveExec}} used in streaming aggregations has the [following
logic|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/statefulOperators.scala#L359]
when used in {{update}} mode.
## There is an iterator that reads data from its parent iterator and updates
the StateStore.
## When the parent iterator is fully consumed (i.e. \{{baseIterator.hasNext}}
returns false) then all state changes are committed by calling
{{StateStore.commit}}.
## The implementation of \{{StateStore.commit()}} in {{HDFSBackedStateStore}}
does not allow itself to be called twice. However, the logic is such that, if
{{hasNext}} is called multiple times after \{{baseIterator.hasNext}} has
returned false then each time it will call \{{StateStore.commit}}.
## For most aggregation functions, this is okay because \{{hasNext}} is only
called once. But thats not the case with \{{ImperativeTypedAggregates}}.
# {\{ImperativeTypedAggregates}} are executed using
{{ObjectHashAggregateExec}} which will try to use two kinds of hashmaps for
aggregations.
## It will first try to use an unsorted hashmap. If the size of the hashmap
increases beyond a certain threshold (default 128), then it will switch to
using a sorted hashmap.
## The [switching
logic|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/ObjectAggregationIterator.scala]
in {{ObjectAggregationIterator}} (used by
[jira] [Updated] (SPARK-23004) Structured Streaming raise "llegalStateException: Cannot remove after already committed or aborted"
[
https://issues.apache.org/jira/browse/SPARK-23004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tathagata Das updated SPARK-23004:
--
Description:
A structured streaming query with a streaming aggregation can throw the
following error in rare cases.
{code:java}
java.lang.IllegalStateException: Cannot remove after already committed or
aborted at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659
) at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.remove(HDFSBackedStateStoreProvider.scala:143)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3$$anon$1.hasNext(statefulOperators.scala:233)
at
org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.processInputs(ObjectAggregationIterator.scala:191)
at
org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.(ObjectAggregationIterator.scala:80)
at
org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:111)
at
org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:103)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at
org.apache.spark.scheduler.Task.run(Task.scala:108) at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338) at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745) 18-01-05 13:29:57 WARN
TaskSetManager:66 Lost task 68.0 in stage 1933.0 (TID 196171, localhost,
executor driver): java.lang.IllegalStateException: Cannot remove after already
committed or aborted at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659){code}
This can happen when the following conditions are accidentally hit.
# Streaming aggregation with aggregation function that is a subset of
{{[TypedImperativeAggregation|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/interfaces.scala#L473]}}
(for example, {{collect_set}}, {{collect_list}}, {{percentile}}, etc.).
# Query running in {{update}} mode
# After the shuffle, a partition has exactly 128 records.
This happens because of the following.
# The {{StateStoreSaveExec}} used in streaming aggregations has the [following
logic|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/statefulOperators.scala#L359]
when used in {{update}} mode.
## There is an iterator that reads data from its parent iterator and updates
the StateStore.
## When the parent iterator is fully consumed (i.e. {{baseIterator.hasNext}}
returns false) then all state changes are committed by calling
{{StateStore.commit}}.
## The implementation of {{StateStore.commit()}} in {{HDFSBackedStateStore}}
does not allow itself to be called twice. However, the logic is such that, if
{{hasNext}} is called multiple times after {{baseIterator.hasNext}} has
returned false then each time it will call {{StateStore.commit}}.
## For most aggregation functions, this is okay because {{hasNext}} is only
called once. But thats not the case with {{ImperativeTypedAggregates}}.
# {{ImperativeTypedAggregates}} are executed using {{ObjectHashAggregateExec}}
which will try to use two kinds of hashmaps for aggregations.
## It will first try to use an unsorted hashmap. If the size of the hashmap
increases beyond a certain threshold (default 128), then it will switch to
using a sorted hashmap.
## The [switching
logic|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/ObjectAggregationIterator.scala]
in {{ObjectAggregationIterator}} (used by
[jira] [Updated] (SPARK-23004) Structured Streaming raise "llegalStateException: Cannot remove after already committed or aborted"
[
https://issues.apache.org/jira/browse/SPARK-23004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tathagata Das updated SPARK-23004:
--
Description:
A structured streaming query with streaming aggregations can throw the
following error in rare cases.
{code:java}
java.lang.IllegalStateException: Cannot remove after already committed or
aborted at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659
) at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.remove(HDFSBackedStateStoreProvider.scala:143)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3$$anon$1.hasNext(statefulOperators.scala:233)
at
org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.processInputs(ObjectAggregationIterator.scala:191)
at
org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.(ObjectAggregationIterator.scala:80)
at
org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:111)
at
org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:103)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at
org.apache.spark.scheduler.Task.run(Task.scala:108) at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338) at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745) 18-01-05 13:29:57 WARN
TaskSetManager:66 Lost task 68.0 in stage 1933.0 (TID 196171, localhost,
executor driver): java.lang.IllegalStateException: Cannot remove after already
committed or aborted at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659){code}
This can happen when the following conditions are accidentally hit.
# Streaming aggregation with aggregation function that is a subset of
\{{[TypedImperativeAggregation|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/interfaces.scala#L473]}}
(for example, {{collect_set}}, {{collect_list}}, {{percentile}}, etc.).
# Query running in {{update}} mode
# After the shuffle, a partition has exactly 128 records.
This happens because of the following.
# The {{StateStoreSaveExec}} used in streaming aggregations has the [following
logic|https://github.com/apache/spark/blob/76b8b840ddc951ee6203f9cccd2c2b9671c1b5e8/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/statefulOperators.scala#L359]
when used in {{update}} mode.
## There is a iterator that
was:
{code:java}
java.lang.IllegalStateException: Cannot remove after already committed or
aborted
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659
)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.remove(HDFSBackedStateStoreProvider.scala:143)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3$$anon$1.hasNext(statefulOperators.scala:233)
at
org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.processInputs(ObjectAggregationIterator.scala:191)
at
org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.(ObjectAggregationIterator.scala:80)
at
org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:111)
at
org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:103)
at
[jira] [Updated] (SPARK-23004) Structured Streaming raise "llegalStateException: Cannot remove after already committed or aborted"
[
https://issues.apache.org/jira/browse/SPARK-23004?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Tathagata Das updated SPARK-23004:
--
Description:
{code:java}
java.lang.IllegalStateException: Cannot remove after already committed or
aborted
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659
)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.remove(HDFSBackedStateStoreProvider.scala:143)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3$$anon$1.hasNext(statefulOperators.scala:233)
at
org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.processInputs(ObjectAggregationIterator.scala:191)
at
org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.(ObjectAggregationIterator.scala:80)
at
org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:111)
at
org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:103)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
18-01-05 13:29:57 WARN TaskSetManager:66 Lost task 68.0 in stage 1933.0 (TID
196171, localhost, executor driver): java.lang.IllegalStateException: Cannot
remove after already committed or aborted
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659)
{code}
was:
{code}
java.lang.IllegalStateException: Cannot remove after already committed or
aborted
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$verify(HDFSBackedStateStoreProvider.scala:659
)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore.remove(HDFSBackedStateStoreProvider.scala:143)
at
org.apache.spark.sql.execution.streaming.StateStoreSaveExec$$anonfun$doExecute$3$$anon$1.hasNext(statefulOperators.scala:233)
at
org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.processInputs(ObjectAggregationIterator.scala:191)
at
org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.(ObjectAggregationIterator.scala:80)
at
org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:111)
at
org.apache.spark.sql.execution.aggregate.ObjectHashAggregateExec$$anonfun$doExecute$1$$anonfun$2.apply(ObjectHashAggregateExec.scala:103)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
at
