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https://issues.apache.org/jira/browse/HADOOP-2910?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12587755#action_12587755
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Doug Cutting commented on HADOOP-2910:
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+1 for Raghu's proposals for this issue. Adding a connect retry loop on the
client causes us to not rely on the backlog or any other connection, instead
pushing bursts back to the clients, which is more scalable than trying to
handle them on the server. Retrying requests can exacerbate server load, but
retrying connects should not.
> Throttle IPC Client/Server during bursts of requests or server slowdown
> -----------------------------------------------------------------------
>
> Key: HADOOP-2910
> URL: https://issues.apache.org/jira/browse/HADOOP-2910
> Project: Hadoop Core
> Issue Type: Improvement
> Components: ipc
> Affects Versions: 0.16.0
> Reporter: Hairong Kuang
> Assignee: Hairong Kuang
> Fix For: 0.18.0
>
> Attachments: callQueue.patch, callQueue1.patch, callQueue2.patch,
> callQueue3.patch, TestBacklog.java, TestBacklog.java,
> TestBacklogWithPool.java, throttleClient.patch
>
>
> I propose the following to avoid an IPC server being swarmed by too many
> requests and connections
> 1. Limit call queue length or limit the amount of memory used in the call
> queue. This can be done by including the size of a request in the header and
> storing unmarshaled requests in the call queue.
> 2. If the call queue is full or queue buffer is full, stop reading requests
> from sockets. So requests stay at the server's system buffer or at the client
> side and thus eventually throttle the client.
> 3. Limit the total number of connections. Do not accept new connections if
> the connection limit is exceeded. (Note: this solution is unfair to new
> connections.)
> 4. If receive out of memory exception, close the current connection.
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