[
https://issues.apache.org/jira/browse/SPARK-18208?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Reynold Xin updated SPARK-18208:
--------------------------------
Description:
While running a Spark job, we see that the job fails because of executor OOM
with following stack trace -
{noformat}
java.lang.OutOfMemoryError: No enough memory for aggregation
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys1$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:161)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
at org.apache.spark.scheduler.Task.run(Task.scala:86)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
{noformat}
The code is trying to reuse the BytesToBytesMap after spilling by calling the
reset function (see -
https://github.com/facebook/FB-Spark/blob/fb-2.0/core/src/main/java/org/apache/spark/unsafe/map/BytesToBytesMap.java#L897).
The reset function is releasing all memory pages, but its not reseting the
pointer array. If the pointer array size has grown beyond the fair share, the
BytesToBytes map is not being allocated any memory page further and hence the
OOM
was:
While running a Spark job, we see that the job fails because of executor OOM
with following stack trace -
{panel}
java.lang.OutOfMemoryError: No enough memory for aggregation
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys1$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:161)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
at org.apache.spark.scheduler.Task.run(Task.scala:86)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
{panel}
The code is trying to reuse the BytesToBytesMap after spilling by calling the
reset function (see -
https://github.com/facebook/FB-Spark/blob/fb-2.0/core/src/main/java/org/apache/spark/unsafe/map/BytesToBytesMap.java#L897).
The reset function is releasing all memory pages, but its not reseting the
pointer array. If the pointer array size has grown beyond the fair share, the
BytesToBytes map is not being allocated any memory page further and hence the
OOM
> Executor OOM due to a memory leak in BytesToBytesMap
> ----------------------------------------------------
>
> Key: SPARK-18208
> URL: https://issues.apache.org/jira/browse/SPARK-18208
> Project: Spark
> Issue Type: Bug
> Components: Shuffle
> Affects Versions: 2.0.0
> Reporter: Jie Xiong
>
> While running a Spark job, we see that the job fails because of executor OOM
> with following stack trace -
> {noformat}
> java.lang.OutOfMemoryError: No enough memory for aggregation
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys1$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> at
> org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:161)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
> at org.apache.spark.scheduler.Task.run(Task.scala:86)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> 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)
> {noformat}
> The code is trying to reuse the BytesToBytesMap after spilling by calling the
> reset function (see -
> https://github.com/facebook/FB-Spark/blob/fb-2.0/core/src/main/java/org/apache/spark/unsafe/map/BytesToBytesMap.java#L897).
> The reset function is releasing all memory pages, but its not reseting the
> pointer array. If the pointer array size has grown beyond the fair share, the
> BytesToBytes map is not being allocated any memory page further and hence the
> OOM
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