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Posted to common-issues@hadoop.apache.org by "Jeff Lord (JIRA)" <ji...@apache.org> on 2012/06/20 19:38:43 UTC
[jira] [Updated] (HADOOP-8519) ERROR level log message should
probably be changed to INFO
[ https://issues.apache.org/jira/browse/HADOOP-8519?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jeff Lord updated HADOOP-8519:
------------------------------
Issue Type: Task (was: Bug)
> ERROR level log message should probably be changed to INFO
> ----------------------------------------------------------
>
> Key: HADOOP-8519
> URL: https://issues.apache.org/jira/browse/HADOOP-8519
> Project: Hadoop Common
> Issue Type: Task
> Affects Versions: 0.20.2
> Environment: Red Hat Enterprise Linux Server release 6.2 (Santiago)
> Reporter: Jeff Lord
>
> Datanode service is logging java.net.SocketTimeoutException at ERROR level.
> This message indicates that the datanode is not able to send data to the client because the client has stopped reading. This message is not really a cause for alarm and should be INFO level.
> 2012-06-18 17:47:13 ERROR org.apache.hadoop.hdfs.server.datanode.DataNode DatanodeRegistration(x.x.x.x:50010, storageID=DS-196671195-10.10.120.67-50010-1334328338972, infoPort=50075, ipcPort=50020):DataXceiver
> java.net.SocketTimeoutException: 480000 millis timeout while waiting for channel to be ready for write. ch : java.nio.channels.SocketChannel[connected local=/10.10.120.67:50010 remote=/10.10.120.67:59282]
> at org.apache.hadoop.net.SocketIOWithTimeout.waitForIO(SocketIOWithTimeout.java:246)
> at org.apache.hadoop.net.SocketOutputStream.waitForWritable(SocketOutputStream.java:159)
> at org.apache.hadoop.net.SocketOutputStream.transferToFully(SocketOutputStream.java:198)
> at org.apache.hadoop.hdfs.server.datanode.BlockSender.sendChunks(BlockSender.java:397)
> at org.apache.hadoop.hdfs.server.datanode.BlockSender.sendBlock(BlockSender.java:493)
> at org.apache.hadoop.hdfs.server.datanode.DataXceiver.readBlock(DataXceiver.java:267)
> at org.apache.hadoop.hdfs.server.datanode.DataXceiver.run(DataXceiver.java:163)
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