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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2014/11/02 14:37:33 UTC
[jira] [Commented] (SPARK-4195) retry to fetch blocks's result when
fetchfailed's reason is connection timeout
[ https://issues.apache.org/jira/browse/SPARK-4195?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14193827#comment-14193827 ]
Apache Spark commented on SPARK-4195:
-------------------------------------
User 'lianhuiwang' has created a pull request for this issue:
https://github.com/apache/spark/pull/3061
> retry to fetch blocks's result when fetchfailed's reason is connection timeout
> ------------------------------------------------------------------------------
>
> Key: SPARK-4195
> URL: https://issues.apache.org/jira/browse/SPARK-4195
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Reporter: Lianhui Wang
>
> when there are many executors in a application(example:1000),Connection timeout often occure.Exception is:
> WARN nio.SendingConnection: Error finishing connection
> java.net.ConnectException: Connection timed out
> at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
> at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:739)
> at org.apache.spark.network.nio.SendingConnection.finishConnect(Connection.scala:342)
> at org.apache.spark.network.nio.ConnectionManager$$anon$11.run(ConnectionManager.scala:273)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:744)
> that will make driver as these executors are lost,but in fact these executors are alive.so add retry mechanism to reduce the probability of the occurrence of this problem.
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