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Posted to issues@spark.apache.org by "Asoka Diggs (Jira)" <ji...@apache.org> on 2020/09/25 19:29:00 UTC
[jira] [Commented] (SPARK-10141) Number of tasks on executors still
become negative after failures
[ https://issues.apache.org/jira/browse/SPARK-10141?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17202393#comment-17202393 ]
Asoka Diggs commented on SPARK-10141:
-------------------------------------
I have been seeing the negative executor counts on Spark 2.4 (and previous Spark 2 iterations before our upgrade to 2.4). Part of the behavior I've seen is that the interface seems to be able to show 3 stages and their progress. Once I have 3 different stages with negative executors showing, then I no longer see stage progress, though the job does continue to completion.
I haven't seen the negative executors result in job failure. It sure is awkward though if I'm trying to explain that to somebody, and it does reduce my visibility into progress.
> Number of tasks on executors still become negative after failures
> -----------------------------------------------------------------
>
> Key: SPARK-10141
> URL: https://issues.apache.org/jira/browse/SPARK-10141
> Project: Spark
> Issue Type: Bug
> Components: Web UI
> Affects Versions: 1.5.0
> Reporter: Joseph K. Bradley
> Priority: Minor
> Attachments: Screen Shot 2015-08-20 at 3.14.49 PM.png
>
>
> I hit this failure when running LDA on EC2 (after I made the model size really big).
> I was using the LDAExample.scala code on an EC2 cluster with 16 workers (r3.2xlarge), on a Wikipedia dataset:
> {code}
> Training set size (documents) 4534059
> Vocabulary size (terms) 10000
> Training set size (tokens) 895575317
> EM optimizer
> 1K topics
> {code}
> Failure message:
> {code}
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 55 in stage 22.0 failed 4 times, most recent failure: Lost task 55.3 in stage 22.0 (TID 2881, 10.0.202.128): java.io.IOException: Failed to connect to /10.0.202.128:54740
> at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:193)
> at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:156)
> at org.apache.spark.network.netty.NettyBlockTransferService$$anon$1.createAndStart(NettyBlockTransferService.scala:88)
> at org.apache.spark.network.shuffle.RetryingBlockFetcher.fetchAllOutstanding(RetryingBlockFetcher.java:140)
> at org.apache.spark.network.shuffle.RetryingBlockFetcher.access$200(RetryingBlockFetcher.java:43)
> at org.apache.spark.network.shuffle.RetryingBlockFetcher$1.run(RetryingBlockFetcher.java:170)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
> at java.util.concurrent.FutureTask.run(FutureTask.java:262)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.net.ConnectException: Connection refused: /10.0.202.128:54740
> at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
> at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739)
> at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
> at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
> at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
> at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
> at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
> at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
> at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
> ... 1 more
> Driver stacktrace:
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1267)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1255)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1254)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1254)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:684)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:684)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:684)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1480)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1442)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1431)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:554)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1805)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1925)
> at org.apache.spark.rdd.RDD$$anonfun$fold$1.apply(RDD.scala:1059)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:306)
> at org.apache.spark.rdd.RDD.fold(RDD.scala:1053)
> at org.apache.spark.mllib.clustering.EMLDAOptimizer.computeGlobalTopicTotals(LDAOptimizer.scala:205)
> at org.apache.spark.mllib.clustering.EMLDAOptimizer.next(LDAOptimizer.scala:192)
> at org.apache.spark.mllib.clustering.EMLDAOptimizer.next(LDAOptimizer.scala:80)
> at org.apache.spark.mllib.clustering.LDA.run(LDA.scala:332)
> Caused by: java.io.IOException: Failed to connect to /10.0.202.128:54740
> at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:193)
> at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:156)
> at org.apache.spark.network.netty.NettyBlockTransferService$$anon$1.createAndStart(NettyBlockTransferService.scala:88)
> 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:471)
> at java.util.concurrent.FutureTask.run(FutureTask.java:262)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.net.ConnectException: Connection refused: /10.0.202.128:54740
> at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
> at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739)
> at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
> at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
> 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:111)
> at java.lang.Thread.run(Thread.java:745)
> {code}
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