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From "Raghu Angadi (JIRA)" <j...@apache.org>
Subject [jira] Updated: (HADOOP-3124) DFS data node should not use hard coded 10 minutes as write timeout.
Date Tue, 08 Apr 2008 03:23:33 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-3124?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Raghu Angadi updated HADOOP-3124:
---------------------------------

    Attachment: HADOOP-3124.patch

Attached patch adds an internal config variable "dfs.datanode.socket.write.timeout". 

Also, when this is set to 0, DataNode uses standard sockets instead of NIO sockets. Runping,
could you use this patch with value set to 0 while looking at HADOOP-3132.

> DFS data node should not use hard coded 10 minutes as write timeout.
> --------------------------------------------------------------------
>
>                 Key: HADOOP-3124
>                 URL: https://issues.apache.org/jira/browse/HADOOP-3124
>             Project: Hadoop Core
>          Issue Type: Bug
>          Components: dfs
>    Affects Versions: 0.17.0
>            Reporter: Runping Qi
>            Assignee: Raghu Angadi
>         Attachments: HADOOP-3124.patch
>
>
> This problem happens in 0.17 trunk
> I saw reducers waited 10 minutes for writing data to dfs and got timeout.
> The client retries again and timeouted after another 19 minutes.
> After looking into the code, it seems that the dfs data node uses 10 minutes as timeout
for wtiting data into the data node pipeline.
> I thing we have three issues:
> 1. The 10 minutes timeout value is too big for writing a chunk of data (64K) through
the data node pipeline.
> 2. The timeout value should not be hard coded.
> 3. Different datanodes in a pipeline should use different timeout values for writing
to the downstream.
> A reasonable one maybe (20 secs * numOfDataNodesInTheDownStreamPipe).
> For example, if the replication factor is 3, the client uses 60 secs, the first data
node use 40 secs, the second datanode use 20secs.

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