You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Deng Changchun (JIRA)" <ji...@apache.org> on 2016/07/20 07:04:20 UTC
[jira] [Created] (SPARK-16643) When doing Shuffle, report
"java.io.FileNotFoundException"
Deng Changchun created SPARK-16643:
--------------------------------------
Summary: When doing Shuffle, report "java.io.FileNotFoundException"
Key: SPARK-16643
URL: https://issues.apache.org/jira/browse/SPARK-16643
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 1.5.2
Environment: LSB Version: :base-4.0-amd64:base-4.0-noarch:core-4.0-amd64:core-4.0-noarch:graphics-4.0-amd64:graphics-4.0-noarch:printing-4.0-amd64:printing-4.0-noarch
Distributor ID: CentOS
Description: CentOS release 6.6 (Final)
Release: 6.6
Codename: Final
java version "1.7.0_10"
Java(TM) SE Runtime Environment (build 1.7.0_10-b18)
Java HotSpot(TM) 64-Bit Server VM (build 23.6-b04, mixed mode)
Reporter: Deng Changchun
In our spark cluster of standalone mode, we execute some SQLs on SparkSQL, such some aggregate sqls as "select count(rowKey) from HVRC_B_LOG where 1=1 and RESULTTIME >= 1463328000000 and RESULTTIME <= 1463414399000"
at the begining all is good, however after about 15 days, when execute the aggreate sqls, it will report error, the log looks like:
【Notice:
it is very strange that it won't report error every time when executing aggreate sql, let's say random, after executing some aggregate sqls, it will log error by chance.】
2016-07-20 13:48:50,250 ERROR [Executor task launch worker-75] executor.Executor: Managed memory leak detected; size = 8388608 bytes, TID = 624
2016-07-20 13:48:50,250 ERROR [Executor task launch worker-75] executor.Executor: Exception in task 0.3 in stage 580.0 (TID 624)
java.io.FileNotFoundException: /tmp/spark-cb199fce-bb80-4e6f-853f-4d7984bf5f34/executor-fb7c2149-c6c4-4697-ba2f-3b53dcd7f34a/blockmgr-0a9003ad-23b3-4ff5-b76f-6fbc5d71e730/3e/temp_shuffle_ef68b340-85e4-483c-90e8-5e8c8d8ee4ee (没有那个文件或目录)
at java.io.FileOutputStream.open(Native Method)
at java.io.FileOutputStream.<init>(FileOutputStream.java:212)
at org.apache.spark.storage.DiskBlockObjectWriter.open(DiskBlockObjectWriter.scala:88)
at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.insertAll(BypassMergeSortShuffleWriter.java:110)
at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:73)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
at java.lang.Thread.run(Thread.java:722)
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org