liupengcheng created SPARK-26612: ------------------------------------ Summary: Speculation kill causing finished stage recomputed Key: SPARK-26612 URL: https://issues.apache.org/jira/browse/SPARK-26612 Project: Spark Issue Type: Bug Components: Scheduler, Spark Core Affects Versions: 2.1.0 Reporter: liupengcheng
In our production spark cluster, we encoutered this issue. A more detailed explaination: Let's say we have two stage: stage0.0 and stage1.0, and stage 0 is a shuffleMapStage, and stage1 has dependency on stage0, and we enabled spark.speculation. when task0.0 of stage1.0 finished, and is trying to kill task0.1(speculative) of stage1.0, task0.1 throws a wrapped FetchFailedException whose root cause is java.nio.channels.ClosedByInterruptException(caused by speculation kill). Exception stack: {code:java} at org.apache.spark.shuffle.BlockStoreShuffleReader$ProcessFetchFailedIterator$$anonfun$hasNext$1.apply$mcZ$sp(BlockStoreShuffleReader.scala:148) at org.apache.spark.shuffle.BlockStoreShuffleReader$ProcessFetchFailedIterator$$anonfun$hasNext$1.apply(BlockStoreShuffleReader.scala:148) at org.apache.spark.shuffle.BlockStoreShuffleReader$ProcessFetchFailedIterator$$anonfun$hasNext$1.apply(BlockStoreShuffleReader.scala:148) at org.apache.spark.shuffle.BlockStoreShuffleReader$ProcessFetchFailedIterator.tryThrowFetchFailedException(BlockStoreShuffleReader.scala:127) at org.apache.spark.shuffle.BlockStoreShuffleReader$ProcessFetchFailedIterator.hasNext(BlockStoreShuffleReader.scala:148) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:438) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:439) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:439) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:193) at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) at org.apache.spark.scheduler.Task.run(Task.scala:99) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:308) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) Caused by: java.io.IOException: Error in opening FileSegmentManagedBuffer{file=/home/work/hdd6/yarn/c3prc-hadoop/nodemanager/usercache/h_user_profile/appcache/application_1505730831071_76097/blockmgr-bb226ff8-dd5f-4296-b3cc-ce7ff5cc60cc/37/shuffle_1_1182_0.data, offset=17789166, length=35709} at org.apache.spark.network.buffer.FileSegmentManagedBuffer.createInputStream(FileSegmentManagedBuffer.java:114) at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:371) ... 26 more Caused by: java.nio.channels.ClosedByInterruptException at java.nio.channels.spi.AbstractInterruptibleChannel.end(AbstractInterruptibleChannel.java:202) at sun.nio.ch.FileChannelImpl.read(FileChannelImpl.java:155) at sun.nio.ch.ChannelInputStream.read(ChannelInputStream.java:65) at sun.nio.ch.ChannelInputStream.read(ChannelInputStream.java:109) {code} Seems in latest spark version, this problem still exists! FetchFailedException might be throwed in ShuffleBlockFetcherIterator.next, where the task is accessing local shuffle block or encountering a stream corruption. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org