You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Adrian Muraru (JIRA)" <ji...@apache.org> on 2019/04/20 14:58:00 UTC

[jira] [Updated] (SPARK-27530) FetchFailedException: Received a zero-size buffer for block shuffle

     [ https://issues.apache.org/jira/browse/SPARK-27530?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Adrian Muraru updated SPARK-27530:
----------------------------------
    Description: 
I'm getting this in a large shuffle:

org.apache.spark.shuffle.FetchFailedException: Received a zero-size buffer for block shuffle_2_9167_1861 from BlockManagerId(2665, ip-172-25-44-74, 39439, None) (expectedApproxSize = 33708, isNetworkReqDone=false)
 at org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:554)
 at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:438)
 at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:64)
 at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:435)
 at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:441)
 at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
 at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:30)
 at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
 at org.apache.spark.util.collection.ExternalAppendOnlyMap.insertAll(ExternalAppendOnlyMap.scala:156)
 at org.apache.spark.Aggregator.combineValuesByKey(Aggregator.scala:41)
 at org.apache.spark.shuffle.BlockStoreShuffleReader.read(BlockStoreShuffleReader.scala:90)
 at org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:105)
 at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
 at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
 at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
 at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
 at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
 at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
 at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
 at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
 at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:105)
 at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
 at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
 at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
 at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
 at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
 at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
 at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
 at org.apache.spark.scheduler.Task.run(Task.scala:121)
 at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
 at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
 at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
 at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
 at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
 at java.lang.Thread.run(Thread.java:748)
 Caused by: java.io.IOException: Received a zero-size buffer for block shuffle_2_9167_1861 from BlockManagerId(2665, ip-172-25-44-74, 39439, None) (expectedApproxSize = 33708, isNetworkReqDone=false)

  was:
I'm getting this in a large shuffle:

org.apache.spark.shuffle.FetchFailedException: Received a zero-size buffer for block shuffle_2_9167_1861 from BlockManagerId(2665, ip-172-25-44-74, 39439, None) (expectedApproxSize = 33708, isNetworkReqDone=false)
 at org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:554)
 at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:438)
 at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:64)
 at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:435)
 at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:441)
 at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
 at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:30)
 at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
 at org.apache.spark.util.collection.ExternalAppendOnlyMap.insertAll(ExternalAppendOnlyMap.scala:156)
 at org.apache.spark.Aggregator.combineValuesByKey(Aggregator.scala:41)
 at org.apache.spark.shuffle.BlockStoreShuffleReader.read(BlockStoreShuffleReader.scala:90)
 at org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:105)
 at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
 at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
 at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
 at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
 at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
 at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
 at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
 at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
 at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:105)
 at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
 at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
 at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
 at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
 at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
 at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
 at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
 at org.apache.spark.scheduler.Task.run(Task.scala:121)
 at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
 at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
 at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
 at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
 at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
 at java.lang.Thread.run(Thread.java:748)
 Caused by: java.io.IOException: Received a zero-size buffer for block shuffle_2_9167_1861 from BlockManagerId(2665, ip-172-25-44-74.keystone.demdex.com, 39439, None) (expectedApproxSize = 33708, isNetworkReqDone=false)


> FetchFailedException: Received a zero-size buffer for block shuffle
> -------------------------------------------------------------------
>
>                 Key: SPARK-27530
>                 URL: https://issues.apache.org/jira/browse/SPARK-27530
>             Project: Spark
>          Issue Type: Improvement
>          Components: Shuffle, Spark Core
>    Affects Versions: 2.4.0
>            Reporter: Adrian Muraru
>            Priority: Critical
>
> I'm getting this in a large shuffle:
> org.apache.spark.shuffle.FetchFailedException: Received a zero-size buffer for block shuffle_2_9167_1861 from BlockManagerId(2665, ip-172-25-44-74, 39439, None) (expectedApproxSize = 33708, isNetworkReqDone=false)
>  at org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:554)
>  at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:438)
>  at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:64)
>  at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:435)
>  at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:441)
>  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
>  at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:30)
>  at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
>  at org.apache.spark.util.collection.ExternalAppendOnlyMap.insertAll(ExternalAppendOnlyMap.scala:156)
>  at org.apache.spark.Aggregator.combineValuesByKey(Aggregator.scala:41)
>  at org.apache.spark.shuffle.BlockStoreShuffleReader.read(BlockStoreShuffleReader.scala:90)
>  at org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:105)
>  at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
>  at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
>  at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
>  at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
>  at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
>  at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
>  at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
>  at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
>  at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:105)
>  at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
>  at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
>  at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
>  at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
>  at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
>  at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
>  at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
>  at org.apache.spark.scheduler.Task.run(Task.scala:121)
>  at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
>  at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
>  at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
>  at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
>  at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
>  at java.lang.Thread.run(Thread.java:748)
>  Caused by: java.io.IOException: Received a zero-size buffer for block shuffle_2_9167_1861 from BlockManagerId(2665, ip-172-25-44-74, 39439, None) (expectedApproxSize = 33708, isNetworkReqDone=false)



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org