From issues-return-200257-archive-asf-public=cust-asf.ponee.io@spark.apache.org Tue Aug 28 09:42:04 2018 Return-Path: X-Original-To: archive-asf-public@cust-asf.ponee.io Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by mx-eu-01.ponee.io (Postfix) with SMTP id 510B3180621 for ; Tue, 28 Aug 2018 09:42:04 +0200 (CEST) Received: (qmail 32655 invoked by uid 500); 28 Aug 2018 07:42:03 -0000 Mailing-List: contact issues-help@spark.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Delivered-To: mailing list issues@spark.apache.org Received: (qmail 32524 invoked by uid 99); 28 Aug 2018 07:42:03 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd3-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Tue, 28 Aug 2018 07:42:03 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd3-us-west.apache.org (ASF Mail Server at 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mailrelay1-us-west.apache.org) with ESMTP id 975A1E0E3E for ; Tue, 28 Aug 2018 07:42:00 +0000 (UTC) Received: from jira-lw-us.apache.org (localhost [127.0.0.1]) by jira-lw-us.apache.org (ASF Mail Server at jira-lw-us.apache.org) with ESMTP id 58F4F26B58 for ; Tue, 28 Aug 2018 07:42:00 +0000 (UTC) Date: Tue, 28 Aug 2018 07:42:00 +0000 (UTC) From: "howie yu (JIRA)" To: issues@spark.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (SPARK-20977) NPE in CollectionAccumulator MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: quoted-printable X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 [ https://issues.apache.org/jira/browse/SPARK-20977?page=3Dcom.atlassia= n.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=3D165= 94659#comment-16594659 ]=20 howie yu commented on SPARK-20977: ---------------------------------- I use pyspark 2.3.1 also have this problem , but in different line =C2=A0 [2018-08-28 15:29:06,146][ERROR] Utils=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0 : Uncaught exception in thread heartbeat-receiver-event-loop-thread java.lang.NullPointerException =C2=A0=C2=A0 =C2=A0at org.apache.spark.util.CollectionAccumulator.value(Acc= umulatorV2.scala:477) =C2=A0=C2=A0 =C2=A0at org.apache.spark.util.CollectionAccumulator.value(Acc= umulatorV2.scala:449) =C2=A0=C2=A0 =C2=A0at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun= $8$$anonfun$9.apply(TaskSchedulerImpl.scala:449) =C2=A0=C2=A0 =C2=A0at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun= $8$$anonfun$9.apply(TaskSchedulerImpl.scala:449) =C2=A0=C2=A0 =C2=A0at scala.collection.TraversableLike$$anonfun$map$1.apply= (TraversableLike.scala:234) =C2=A0=C2=A0 =C2=A0at scala.collection.TraversableLike$$anonfun$map$1.apply= (TraversableLike.scala:234) =C2=A0=C2=A0 =C2=A0at scala.collection.Iterator$class.foreach(Iterator.scal= a:893) =C2=A0=C2=A0 =C2=A0at scala.collection.AbstractIterator.foreach(Iterator.sc= ala:1336) =C2=A0=C2=A0 =C2=A0at scala.collection.IterableLike$class.foreach(IterableL= ike.scala:72) =C2=A0=C2=A0 =C2=A0at scala.collection.AbstractIterable.foreach(Iterable.sc= ala:54) =C2=A0=C2=A0 =C2=A0at scala.collection.TraversableLike$class.map(Traversabl= eLike.scala:234) =C2=A0=C2=A0 =C2=A0at scala.collection.AbstractTraversable.map(Traversable.= scala:104) =C2=A0=C2=A0 =C2=A0at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun= $8.apply(TaskSchedulerImpl.scala:449) =C2=A0=C2=A0 =C2=A0at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun= $8.apply(TaskSchedulerImpl.scala:448) =C2=A0=C2=A0 =C2=A0at scala.collection.TraversableLike$$anonfun$flatMap$1.a= pply(TraversableLike.scala:241) =C2=A0=C2=A0 =C2=A0at scala.collection.TraversableLike$$anonfun$flatMap$1.a= pply(TraversableLike.scala:241) =C2=A0=C2=A0 =C2=A0at scala.collection.IndexedSeqOptimized$class.foreach(In= dexedSeqOptimized.scala:33) =C2=A0=C2=A0 =C2=A0at scala.collection.mutable.ArrayOps$ofRef.foreach(Array= Ops.scala:186) =C2=A0=C2=A0 =C2=A0at scala.collection.TraversableLike$class.flatMap(Traver= sableLike.scala:241) =C2=A0=C2=A0 =C2=A0at scala.collection.mutable.ArrayOps$ofRef.flatMap(Array= Ops.scala:186) =C2=A0=C2=A0 =C2=A0at org.apache.spark.scheduler.TaskSchedulerImpl.executor= HeartbeatReceived(TaskSchedulerImpl.scala:448) =C2=A0=C2=A0 =C2=A0at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAn= dReply$1$$anon$2$$anonfun$run$2.apply$mcV$sp(HeartbeatReceiver.scala:129) =C2=A0=C2=A0 =C2=A0at org.apache.spark.util.Utils$.tryLogNonFatalError(Util= s.scala:1360) =C2=A0=C2=A0 =C2=A0at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAn= dReply$1$$anon$2.run(HeartbeatReceiver.scala:128) =C2=A0=C2=A0 =C2=A0at java.util.concurrent.Executors$RunnableAdapter.call(E= xecutors.java:511) =C2=A0=C2=A0 =C2=A0at java.util.concurrent.FutureTask.run(FutureTask.java:2= 66) =C2=A0=C2=A0 =C2=A0at java.util.concurrent.ScheduledThreadPoolExecutor$Sche= duledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180) =C2=A0=C2=A0 =C2=A0at java.util.concurrent.ScheduledThreadPoolExecutor$Sche= duledFutureTask.run(ScheduledThreadPoolExecutor.java:293) =C2=A0=C2=A0 =C2=A0at java.util.concurrent.ThreadPoolExecutor.runWorker(Thr= eadPoolExecutor.java:1149) =C2=A0=C2=A0 =C2=A0at java.util.concurrent.ThreadPoolExecutor$Worker.run(Th= readPoolExecutor.java:624) =C2=A0=C2=A0 =C2=A0at java.lang.Thread.run(Thread.java:748) > NPE in CollectionAccumulator > ---------------------------- > > Key: SPARK-20977 > URL: https://issues.apache.org/jira/browse/SPARK-20977 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 2.1.1 > Reporter: sharkd tu > Priority: Major > > {code:java} > 17/06/03 13:39:31 ERROR Utils: Uncaught exception in thread heartbeat-rec= eiver-event-loop-thread > java.lang.NullPointerException > =09at org.apache.spark.util.CollectionAccumulator.value(AccumulatorV2.sca= la:464) > =09at org.apache.spark.util.CollectionAccumulator.value(AccumulatorV2.sca= la:439) > =09at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$6$$anonfun$7.= apply(TaskSchedulerImpl.scala:408) > =09at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$6$$anonfun$7.= apply(TaskSchedulerImpl.scala:408) > =09at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLi= ke.scala:234) > =09at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLi= ke.scala:234) > =09at scala.collection.Iterator$class.foreach(Iterator.scala:893) > =09at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) > =09at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) > =09at scala.collection.AbstractIterable.foreach(Iterable.scala:54) > =09at scala.collection.TraversableLike$class.map(TraversableLike.scala:23= 4) > =09at scala.collection.AbstractTraversable.map(Traversable.scala:104) > =09at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$6.apply(TaskS= chedulerImpl.scala:408) > =09at org.apache.spark.scheduler.TaskSchedulerImpl$$anonfun$6.apply(TaskS= chedulerImpl.scala:407) > =09at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(Traversab= leLike.scala:241) > =09at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(Traversab= leLike.scala:241) > =09at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimi= zed.scala:33) > =09at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) > =09at scala.collection.TraversableLike$class.flatMap(TraversableLike.scal= a:241) > =09at scala.collection.mutable.ArrayOps$ofRef.flatMap(ArrayOps.scala:186) > =09at org.apache.spark.scheduler.TaskSchedulerImpl.executorHeartbeatRecei= ved(TaskSchedulerImpl.scala:407) > =09at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon= $2$$anonfun$run$2.apply$mcV$sp(HeartbeatReceiver.scala:129) > =09at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1283) > =09at org.apache.spark.HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon= $2.run(HeartbeatReceiver.scala:128) > =09at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:= 511) > =09at java.util.concurrent.FutureTask.run(FutureTask.java:266) > =09at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTas= k.access$201(ScheduledThreadPoolExecutor.java:180) > =09at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTas= k.run(ScheduledThreadPoolExecutor.java:293) > =09at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecuto= r.java:1142) > =09at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecut= or.java:617) > =09at java.lang.Thread.run(Thread.java:745) > {code} > Is that the bug of spark? Has anybody ever hit the problem? -- 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