[ 
https://issues.apache.org/jira/browse/SPARK-3633?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14219807#comment-14219807
 ] 

Hector Yee commented on SPARK-3633:
-----------------------------------

I think it may be a different bug.. looked at the failed executor and it looks 
like something is closing the connection causing fetches to fail

14/11/20 18:53:43 INFO TransportClientFactory: Found inactive connection to 
i-974cd879.inst.aws.airbnb.com/10.154.228.43:57773, closing it.
14/11/20 18:53:43 ERROR RetryingBlockFetcher: Exception while beginning fetch 
of 1 outstanding blocks 
java.io.IOException: Failed to connect to 
i-974cd879.inst.aws.airbnb.com/10.154.228.43:57773
        at 
org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:141)
        at 
org.apache.spark.network.netty.NettyBlockTransferService$$anon$1.createAndStart(NettyBlockTransferService.scala:78)
        at 
org.apache.spark.network.shuffle.RetryingBlockFetcher.fetchAllOutstanding(RetryingBlockFetcher.java:140)
        at 
org.apache.spark.network.shuffle.RetryingBlockFetcher.start(RetryingBlockFetcher.java:120)
        at 
org.apache.spark.network.netty.NettyBlockTransferService.fetchBlocks(NettyBlockTransferService.scala:87)
        at 
org.apache.spark.storage.ShuffleBlockFetcherIterator.sendRequest(ShuffleBlockFetcherIterator.scala:148)
        at 
org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:288)
        at 
org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:52)
        at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
        at 
org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
        at 
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
        at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
        at scala.collection.Iterator$class.foreach(Iterator.scala:727)
        at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
        at 
com.airbnb.common.ml.training.LinearRankerTrainer$$anonfun$7.apply(LinearRankerTrainer.scala:246)
        at 
com.airbnb.common.ml.training.LinearRankerTrainer$$anonfun$7.apply(LinearRankerTrainer.scala:235)
        at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:601)
        at org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:601)
        at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
        at org.apache.spark.scheduler.Task.run(Task.scala:56)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:745)
Caused by: java.net.ConnectException: Connection refused: 
i-974cd879.inst.aws.airbnb.com/10.154.228.43:57773
        at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
        at 
sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739)
        at 
io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:208)
        at 
io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:287)
        at 
io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
        at 
io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
        at 
io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
        at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
        at 
io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:116)
        ... 1 more

> Fetches failure observed after SPARK-2711
> -----------------------------------------
>
>                 Key: SPARK-3633
>                 URL: https://issues.apache.org/jira/browse/SPARK-3633
>             Project: Spark
>          Issue Type: Bug
>          Components: Block Manager
>    Affects Versions: 1.1.0
>            Reporter: Nishkam Ravi
>            Priority: Blocker
>
> Running a variant of PageRank on a 6-node cluster with a 30Gb input dataset. 
> Recently upgraded to Spark 1.1. The workload fails with the following error 
> message(s):
> {code}
> 14/09/19 12:10:38 WARN TaskSetManager: Lost task 51.0 in stage 2.1 (TID 552, 
> c1705.halxg.cloudera.com): FetchFailed(BlockManagerId(1, 
> c1706.halxg.cloudera.com, 49612, 0), shuffleId=3, mapId=75, reduceId=120)
> 14/09/19 12:10:38 INFO DAGScheduler: Resubmitting failed stages
> {code}
> In order to identify the problem, I carried out change set analysis. As I go 
> back in time, the error message changes to:
> {code}
> 14/09/21 12:56:54 WARN TaskSetManager: Lost task 35.0 in stage 3.0 (TID 519, 
> c1706.halxg.cloudera.com): java.io.FileNotFoundException: 
> /var/lib/jenkins/workspace/tmp/spark-local-20140921123257-68ee/1c/temp_3a1ade13-b48a-437a-a466-673995304034
>  (Too many open files)
>         java.io.FileOutputStream.open(Native Method)
>         java.io.FileOutputStream.<init>(FileOutputStream.java:221)
>         
> org.apache.spark.storage.DiskBlockObjectWriter.open(BlockObjectWriter.scala:117)
>         
> org.apache.spark.storage.DiskBlockObjectWriter.write(BlockObjectWriter.scala:185)
>         
> org.apache.spark.util.collection.ExternalAppendOnlyMap.spill(ExternalAppendOnlyMap.scala:197)
>         
> org.apache.spark.util.collection.ExternalAppendOnlyMap.insertAll(ExternalAppendOnlyMap.scala:145)
>         org.apache.spark.Aggregator.combineValuesByKey(Aggregator.scala:58)
>         
> org.apache.spark.shuffle.hash.HashShuffleWriter.write(HashShuffleWriter.scala:51)
>         
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
>         
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
>         org.apache.spark.scheduler.Task.run(Task.scala:54)
>         org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:199)
>         
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>         
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>         java.lang.Thread.run(Thread.java:745)
> {code}
> All the way until Aug 4th. Turns out the problem changeset is 4fde28c. 



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