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From "dhruba borthakur (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-1707) DFS client can allow user to write data to the next block while uploading previous block to HDFS
Date Wed, 10 Oct 2007 21:08:50 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-1707?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12533875
] 

dhruba borthakur commented on HADOOP-1707:
------------------------------------------

Thanks Doug for your comments.

1. My thinking is as follows: the client has a bunch of small buffers. Say 2 buffers each
of size 16K. When the first buffer is full, it writes that buffer to the first datanode in
the pipeline. The client meanwhile can continue to fill up the remaining buffer(s). The first
datanode, on receipt of this buffer, sends it to the next datanode in the pipeline and also
writes it to its local disk.

2. If a datanode fails to write a buffer to its disk, it is reported back to the client. The
client removes this datanode from the pipeline and continues to write to the remaining two
datanodes. The file in the bad datanode remains in the "tmp" directory. 

3. When the file is closed, the under-replicated blocks will be replicated by the namenode.



> DFS client can allow user to write data to the next block while uploading previous block
to HDFS
> ------------------------------------------------------------------------------------------------
>
>                 Key: HADOOP-1707
>                 URL: https://issues.apache.org/jira/browse/HADOOP-1707
>             Project: Hadoop
>          Issue Type: Bug
>          Components: dfs
>            Reporter: dhruba borthakur
>            Assignee: dhruba borthakur
>
> The DFS client currently uses a staging file on local disk to cache all user-writes to
a file. When the staging file accumulates 1 block worth of data, its contents are flushed
to a HDFS datanode. These operations occur sequentially.
> A simple optimization of allowing the user to write to another staging file while simultaneously
uploading the contents of the first staging file to HDFS will improve file-upload performance.

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