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https://issues.apache.org/jira/browse/HDFS-918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jay Booth updated HDFS-918:
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Attachment: hdfs-918-0.20.2.patch
0.20.2 compatible patch!
A couple people mentioned that it would be much easier for them to benchmark if
I produced an 0.20.2 compatible patch. So here it is, it works, seems to pass
all unit tests that I ran on it, and I even did a hadoop fs -put and hadoop fs
-cat. But that's the entire extent of the testing, unit tests and a
super-simple pseudodistributed operation.
So anyone who wants to try this on some I/O bound jobs on a test 0.20.2 cluster
and see if they have speedups, please feel free and report results.
> Use single Selector and small thread pool to replace many instances of
> BlockSender for reads
> --------------------------------------------------------------------------------------------
>
> Key: HDFS-918
> URL: https://issues.apache.org/jira/browse/HDFS-918
> Project: Hadoop HDFS
> Issue Type: Improvement
> Components: data-node
> Reporter: Jay Booth
> Fix For: 0.22.0
>
> Attachments: hdfs-918-0.20.2.patch, hdfs-918-20100201.patch,
> hdfs-918-20100203.patch, hdfs-918-20100211.patch, hdfs-918-20100228.patch,
> hdfs-918-20100309.patch, hdfs-multiplex.patch
>
>
> Currently, on read requests, the DataXCeiver server allocates a new thread
> per request, which must allocate its own buffers and leads to
> higher-than-optimal CPU and memory usage by the sending threads. If we had a
> single selector and a small threadpool to multiplex request packets, we could
> theoretically achieve higher performance while taking up fewer resources and
> leaving more CPU on datanodes available for mapred, hbase or whatever. This
> can be done without changing any wire protocols.
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