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From "Uma Maheswara Rao G (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HADOOP-7456) Connection with RemoteException is not removed from cached HashTable and cause memory leak
Date Tue, 12 Jul 2011 13:55:00 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-7456?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13063905#comment-13063905

Uma Maheswara Rao G commented on HADOOP-7456:

Looks HADOOP-6833 fixed in *0.20.3, 0.21.1, 0.22.0* versions.
Then before 0.20.3 versions may have this issue. May need to back port the issue to that versions
also if applicable.

> Connection with RemoteException is not removed from cached HashTable and cause memory
> ------------------------------------------------------------------------------------------
>                 Key: HADOOP-7456
>                 URL: https://issues.apache.org/jira/browse/HADOOP-7456
>             Project: Hadoop Common
>          Issue Type: Bug
>          Components: fs
>    Affects Versions: 0.20.2
>            Reporter: Angelo K. Huang
> In a long running system like Oozie, we use hadoop client APIs, such as FileSystem.exists(),
to check files exist on hdfs or not to kick off a user job. But in a production environment,
user sometimes gives wrong or invalid format of file/directory paths. In that case, after
server was up for couple days, we found around 80% of memory were taken away by hadoop ipc
client connections. In one of the connections, there was a hashtable contains 200k entries.
We cross-checked Hadoop code and found out that in org.apache.hadoop.ipc.Client.receiveResponse(),
if state if fatal, the call object does not remove from the hashtable (calls) and keeps in
the memory until system throws OutOfMemory error or crash. The code in question is here :
> * org.apache.hadoop.ipc.Client.receiveResponse()
>  } else if (state == Status.FATAL.state) {
>           // Close the connection
>           markClosed(new RemoteException(WritableUtils.readString(in), 
>                                          WritableUtils.readString(in)));
>  }

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