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https://issues.apache.org/jira/browse/HADOOP-13144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17567393#comment-17567393
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Íñigo Goiri commented on HADOOP-13144:
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There were no voices against for the latest PR and this has been tested
extensively in multiple production deployments so I went ahead and merged PR
4542 into trunk
This was a pretty long-standing change (back to 2016) and many people involved
in the process.
Thank you everybody!
Merged PR 4542 into trunk.
> Enhancing IPC client throughput via multiple connections per user
> -----------------------------------------------------------------
>
> Key: HADOOP-13144
> URL: https://issues.apache.org/jira/browse/HADOOP-13144
> Project: Hadoop Common
> Issue Type: Improvement
> Components: ipc
> Reporter: Jason Kace
> Assignee: Íñigo Goiri
> Priority: Minor
> Labels: pull-request-available
> Attachments: HADOOP-13144-performance.patch, HADOOP-13144.000.patch,
> HADOOP-13144.001.patch, HADOOP-13144.002.patch, HADOOP-13144.003.patch,
> HADOOP-13144_overload_enhancement.patch
>
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> The generic IPC client ({{org.apache.hadoop.ipc.Client}}) utilizes a single
> connection thread for each {{ConnectionId}}. The {{ConnectionId}} is unique
> to the connection's remote address, ticket and protocol. Each ConnectionId
> is 1:1 mapped to a connection thread by the client via a map cache.
> The result is to serialize all IPC read/write activity through a single
> thread for a each user/ticket + address. If a single user makes repeated
> calls (1k-100k/sec) to the same destination, the IPC client becomes a
> bottleneck.
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