[jira] [Commented] (SPARK-17933) Shuffle fails when driver is on one of the same machines as executor
[
https://issues.apache.org/jira/browse/SPARK-17933?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15575232#comment-15575232
]
Frank Rosner commented on SPARK-17933:
--
Thanks [~srowen]. I know a lot of discussions about the driver advertised
address etc. but I am not sure if this is a configuration problem or a bug. The
ticket you reference talks about the driver IP but I am having troubles with
the executor (I highlighted the line in the screenshot).
Any ideas how to address this problem?
> Shuffle fails when driver is on one of the same machines as executor
>
>
> Key: SPARK-17933
> URL: https://issues.apache.org/jira/browse/SPARK-17933
> Project: Spark
> Issue Type: Bug
> Components: Shuffle
>Affects Versions: 1.6.2
>Reporter: Frank Rosner
> Attachments: screenshot-1.png, screenshot-2.png
>
>
> h4. Problem
> When I run a job that requires some shuffle, some tasks fail because the
> executor cannot fetch the shuffle blocks from another executor.
> {noformat}
> org.apache.spark.shuffle.FetchFailedException: Failed to connect to
> 10-250-20-140:44042
> at
> org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:323)
> at
> org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:300)
> at
> org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:51)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at
> org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
> at
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at
> org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.processInputs(TungstenAggregationIterator.scala:504)
> at
> org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.(TungstenAggregationIterator.scala:686)
> at
> org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:95)
> at
> org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:86)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:89)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
> 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)
> Caused by: java.io.IOException: Failed to connect to 10-250-20-140:44042
> at
> org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216)
> at
> org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167)
> at
> org.apache.spark.network.netty.NettyBlockTransferService$$anon$1.createAndStart(NettyBlockTransferService.scala:90)
> at
> org.apache.spark.network.shuffle.RetryingBlockFetcher.fetchAllOutstanding(RetryingBlockFetcher.java:140)
> at
> org.apache.spark.network.shuffle.RetryingBlockFetcher.access$200(RetryingBlockFetcher.java:43)
> at
> org.apache.spark.network.shuffle.RetryingBlockFetcher$1.run(RetryingBlockFetcher.java:170)
> at
> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> ... 3 more
> Caused by: java.nio.channels.UnresolvedAddressException
> at sun.nio.ch.Net.checkAddress(Net.java:101)
> at sun.nio.ch.SocketChannelImpl.connect(SocketChannelImpl.java:622)
> at
> io.netty.channel.socket.nio.NioSocketChannel.doConnect(NioSocketChannel.java:209)
[jira] [Commented] (SPARK-17933) Shuffle fails when driver is on one of the same machines as executor
[
https://issues.apache.org/jira/browse/SPARK-17933?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15574802#comment-15574802
]
Sean Owen commented on SPARK-17933:
---
I think this is related to a lot of existing JIRAs concerning the difference
between advertised host names and IPs, like
https://issues.apache.org/jira/browse/SPARK-4563
> Shuffle fails when driver is on one of the same machines as executor
>
>
> Key: SPARK-17933
> URL: https://issues.apache.org/jira/browse/SPARK-17933
> Project: Spark
> Issue Type: Bug
> Components: Shuffle
>Affects Versions: 1.6.2
>Reporter: Frank Rosner
> Attachments: screenshot-1.png, screenshot-2.png
>
>
> h4. Problem
> When I run a job that requires some shuffle, some tasks fail because the
> executor cannot fetch the shuffle blocks from another executor.
> {noformat}
> org.apache.spark.shuffle.FetchFailedException: Failed to connect to
> 10-250-20-140:44042
> at
> org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:323)
> at
> org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:300)
> at
> org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:51)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at
> org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
> at
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at
> org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.processInputs(TungstenAggregationIterator.scala:504)
> at
> org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.(TungstenAggregationIterator.scala:686)
> at
> org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:95)
> at
> org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:86)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:89)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.io.IOException: Failed to connect to 10-250-20-140:44042
> at
> org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216)
> at
> org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167)
> at
> org.apache.spark.network.netty.NettyBlockTransferService$$anon$1.createAndStart(NettyBlockTransferService.scala:90)
> at
> org.apache.spark.network.shuffle.RetryingBlockFetcher.fetchAllOutstanding(RetryingBlockFetcher.java:140)
> at
> org.apache.spark.network.shuffle.RetryingBlockFetcher.access$200(RetryingBlockFetcher.java:43)
> at
> org.apache.spark.network.shuffle.RetryingBlockFetcher$1.run(RetryingBlockFetcher.java:170)
> at
> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> ... 3 more
> Caused by: java.nio.channels.UnresolvedAddressException
> at sun.nio.ch.Net.checkAddress(Net.java:101)
> at sun.nio.ch.SocketChannelImpl.connect(SocketChannelImpl.java:622)
> at
> io.netty.channel.socket.nio.NioSocketChannel.doConnect(NioSocketChannel.java:209)
> at
> io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.connect(AbstractNioChannel.java:207)
> at
>
