Return-Path: X-Original-To: archive-asf-public-internal@cust-asf2.ponee.io Delivered-To: archive-asf-public-internal@cust-asf2.ponee.io Received: from cust-asf.ponee.io (cust-asf.ponee.io [163.172.22.183]) by cust-asf2.ponee.io (Postfix) with ESMTP id 7865C200CB7 for ; Fri, 30 Jun 2017 16:28:07 +0200 (CEST) Received: by cust-asf.ponee.io (Postfix) id 75CE8160BF6; Fri, 30 Jun 2017 14:28:07 +0000 (UTC) Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by cust-asf.ponee.io (Postfix) with SMTP id 95367160BDD for ; Fri, 30 Jun 2017 16:28:06 +0200 (CEST) Received: (qmail 14226 invoked by uid 500); 30 Jun 2017 14:28:05 -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 14217 invoked by uid 99); 30 Jun 2017 14:28:05 -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; Fri, 30 Jun 2017 14:28:05 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd3-us-west.apache.org (ASF Mail Server at spamd3-us-west.apache.org) with ESMTP id 65336188AAA for ; Fri, 30 Jun 2017 14:28:05 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd3-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: -98.702 X-Spam-Level: X-Spam-Status: No, score=-98.702 tagged_above=-999 required=6.31 tests=[KAM_ASCII_DIVIDERS=0.8, KAM_NUMSUBJECT=0.5, RP_MATCHES_RCVD=-0.001, SPF_PASS=-0.001, USER_IN_WHITELIST=-100] autolearn=disabled Received: from mx1-lw-eu.apache.org ([10.40.0.8]) by localhost (spamd3-us-west.apache.org [10.40.0.10]) (amavisd-new, port 10024) with ESMTP id Cq84v0RmwAGy for ; Fri, 30 Jun 2017 14:28:03 +0000 (UTC) Received: from mailrelay1-us-west.apache.org (mailrelay1-us-west.apache.org [209.188.14.139]) by mx1-lw-eu.apache.org (ASF Mail Server at mx1-lw-eu.apache.org) with ESMTP id 5C14160D12 for ; Fri, 30 Jun 2017 14:28:02 +0000 (UTC) Received: from jira-lw-us.apache.org (unknown [207.244.88.139]) by mailrelay1-us-west.apache.org (ASF Mail Server at mailrelay1-us-west.apache.org) with ESMTP id 31C79E0C1B for ; Fri, 30 Jun 2017 14:28:01 +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 5BAFB245D2 for ; Fri, 30 Jun 2017 14:28:00 +0000 (UTC) Date: Fri, 30 Jun 2017 14:28:00 +0000 (UTC) From: "Yuming Wang (JIRA)" To: issues@spark.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Updated] (SPARK-21269) MetadataFetchFailedException: Missing an output location for shuffle 0 MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 archived-at: Fri, 30 Jun 2017 14:28:07 -0000 [ https://issues.apache.org/jira/browse/SPARK-21269?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yuming Wang updated SPARK-21269: -------------------------------- Description: Spark *cluster* can reproduce, *local* can't: 1. Start a spark context with {{spark.reducer.maxReqSizeShuffleToMem=1K}} and {{spark.serializer=org.apache.spark.serializer.KryoSerializer}}: {code:actionscript} $ spark-shell --conf spark.reducer.maxReqSizeShuffleToMem=1K --conf spark.serializer=org.apache.spark.serializer.KryoSerializer {code} 2. A shuffle: {code:actionscript} scala> sc.parallelize(0 until 3000000, 10).repartition(2001).count() {code} The error messages: {noformat} 17/06/30 21:33:29 WARN TaskSetManager: Lost task 117.0 in stage 1.0 (TID 127, jqhadoop-test47-27.int.yihaodian.com, executor 140): FetchFailed(null, shuffleId=0, mapId=-1, reduceId=117, message= org.apache.spark.shuffle.MetadataFetchFailedException: Missing an output location for shuffle 0 at org.apache.spark.MapOutputTracker$$anonfun$convertMapStatuses$2.apply(MapOutputTracker.scala:808) at org.apache.spark.MapOutputTracker$$anonfun$convertMapStatuses$2.apply(MapOutputTracker.scala:804) at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733) at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732) at org.apache.spark.MapOutputTracker$.convertMapStatuses(MapOutputTracker.scala:804) at org.apache.spark.MapOutputTrackerWorker.getMapSizesByExecutorId(MapOutputTracker.scala:618) at org.apache.spark.shuffle.BlockStoreShuffleReader.read(BlockStoreShuffleReader.scala:49) at org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:105) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.CoalescedRDD$$anonfun$compute$1.apply(CoalescedRDD.scala:100) at org.apache.spark.rdd.CoalescedRDD$$anonfun$compute$1.apply(CoalescedRDD.scala:99) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1802) at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1159) at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1159) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2065) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2065) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:341) 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) {noformat} was: Spark *cluster* can reproduce, *local* can't: 1. Start a spark context with {{spark.reducer.maxReqSizeShuffleToMem=1K}}: {code:actionscript} $ spark-shell --conf spark.reducer.maxReqSizeShuffleToMem=1K --conf spark.serializer=org.apache.spark.serializer.KryoSerializer {code} 2. A shuffle: {code:actionscript} scala> sc.parallelize(0 until 3000000, 10).repartition(2001).count() {code} The error messages: {noformat} 17/06/30 21:33:29 WARN TaskSetManager: Lost task 117.0 in stage 1.0 (TID 127, jqhadoop-test47-27.int.yihaodian.com, executor 140): FetchFailed(null, shuffleId=0, mapId=-1, reduceId=117, message= org.apache.spark.shuffle.MetadataFetchFailedException: Missing an output location for shuffle 0 at org.apache.spark.MapOutputTracker$$anonfun$convertMapStatuses$2.apply(MapOutputTracker.scala:808) at org.apache.spark.MapOutputTracker$$anonfun$convertMapStatuses$2.apply(MapOutputTracker.scala:804) at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733) at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732) at org.apache.spark.MapOutputTracker$.convertMapStatuses(MapOutputTracker.scala:804) at org.apache.spark.MapOutputTrackerWorker.getMapSizesByExecutorId(MapOutputTracker.scala:618) at org.apache.spark.shuffle.BlockStoreShuffleReader.read(BlockStoreShuffleReader.scala:49) at org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:105) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) at org.apache.spark.rdd.CoalescedRDD$$anonfun$compute$1.apply(CoalescedRDD.scala:100) at org.apache.spark.rdd.CoalescedRDD$$anonfun$compute$1.apply(CoalescedRDD.scala:99) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1802) at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1159) at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1159) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2065) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2065) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:108) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:341) 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) {noformat} > MetadataFetchFailedException: Missing an output location for shuffle 0 > ---------------------------------------------------------------------- > > Key: SPARK-21269 > URL: https://issues.apache.org/jira/browse/SPARK-21269 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 2.3.0 > Reporter: Yuming Wang > > Spark *cluster* can reproduce, *local* can't: > 1. Start a spark context with {{spark.reducer.maxReqSizeShuffleToMem=1K}} and {{spark.serializer=org.apache.spark.serializer.KryoSerializer}}: > {code:actionscript} > $ spark-shell --conf spark.reducer.maxReqSizeShuffleToMem=1K --conf spark.serializer=org.apache.spark.serializer.KryoSerializer > {code} > 2. A shuffle: > {code:actionscript} > scala> sc.parallelize(0 until 3000000, 10).repartition(2001).count() > {code} > The error messages: > {noformat} > 17/06/30 21:33:29 WARN TaskSetManager: Lost task 117.0 in stage 1.0 (TID 127, jqhadoop-test47-27.int.yihaodian.com, executor 140): FetchFailed(null, shuffleId=0, mapId=-1, reduceId=117, message= > org.apache.spark.shuffle.MetadataFetchFailedException: Missing an output location for shuffle 0 > at org.apache.spark.MapOutputTracker$$anonfun$convertMapStatuses$2.apply(MapOutputTracker.scala:808) > at org.apache.spark.MapOutputTracker$$anonfun$convertMapStatuses$2.apply(MapOutputTracker.scala:804) > at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733) > at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) > at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186) > at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732) > at org.apache.spark.MapOutputTracker$.convertMapStatuses(MapOutputTracker.scala:804) > at org.apache.spark.MapOutputTrackerWorker.getMapSizesByExecutorId(MapOutputTracker.scala:618) > at org.apache.spark.shuffle.BlockStoreShuffleReader.read(BlockStoreShuffleReader.scala:49) > at org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:105) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) > at org.apache.spark.rdd.CoalescedRDD$$anonfun$compute$1.apply(CoalescedRDD.scala:100) > at org.apache.spark.rdd.CoalescedRDD$$anonfun$compute$1.apply(CoalescedRDD.scala:99) > at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) > at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1802) > at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1159) > at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1159) > at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2065) > at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2065) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) > at org.apache.spark.scheduler.Task.run(Task.scala:108) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:341) > 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) > {noformat} -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org For additional commands, e-mail: issues-help@spark.apache.org