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Date: Thu, 26 Jul 2012 00:10:35 +0000 (UTC)
From: "Hudson (JIRA)" <jira@apache.org>
To: hdfs-issues@hadoop.apache.org
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Subject: [jira] [Commented] (HDFS-3696) Create files with WebHdfsFileSystem
 goes OOM when file size is big
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    [ https://issues.apache.org/jira/browse/HDFS-3696?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13422751#comment-13422751 ] 

Hudson commented on HDFS-3696:
------------------------------

Integrated in Hadoop-Hdfs-trunk-Commit #2587 (See [https://builds.apache.org/job/Hadoop-Hdfs-trunk-Commit/2587/])
    HDFS-3696. Set chunked streaming mode in WebHdfsFileSystem write operations to get around a Java library bug causing OutOfMemoryError. (Revision 1365839)

     Result = SUCCESS
szetszwo : http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1365839
Files : 
* /hadoop/common/trunk/hadoop-hdfs-project/hadoop-hdfs/CHANGES.txt
* /hadoop/common/trunk/hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/web/WebHdfsFileSystem.java
* /hadoop/common/trunk/hadoop-hdfs-project/hadoop-hdfs/src/test/java/org/apache/hadoop/hdfs/web/TestWebHDFS.java

                
> Create files with WebHdfsFileSystem goes OOM when file size is big
> ------------------------------------------------------------------
>
>                 Key: HDFS-3696
>                 URL: https://issues.apache.org/jira/browse/HDFS-3696
>             Project: Hadoop HDFS
>          Issue Type: Bug
>    Affects Versions: 2.0.0-alpha
>            Reporter: Kihwal Lee
>            Assignee: Tsz Wo (Nicholas), SZE
>            Priority: Critical
>             Fix For: 0.23.3
>
>         Attachments: h3696_20120724.patch
>
>
> When doing "fs -put" to a WebHdfsFileSystem (webhdfs://), the FsShell goes OOM if the file size is large. When I tested, 20MB files were fine, but 200MB didn't work.  
> I also tried reading a large file by issuing "-cat" and piping to a slow sink in order to force buffering. The read path didn't have this problem. The memory consumption stayed the same regardless of progress.

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