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From "Raghu Angadi (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-2910) Throttle IPC Client/Server during bursts of requests or server slowdown
Date Tue, 18 Mar 2008 20:49:25 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-2910?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12580074#action_12580074
] 

Raghu Angadi commented on HADOOP-2910:
--------------------------------------

Patch looks good. Handlers now mostly ignore 'running' and might wait forever. May be handlers
could use poll() rather than take() if we want to keep the functionality. I am not sure how
important it is.

> Remember hadoop-2188 removes the client timeout.

It does help the application greatly, but not kernel/OS. I guess most TCP stacks are designed
to handle this case well.. especially if the connections are not accepted by the application.


> 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: 0.17.0
>
>         Attachments: callQueue.patch, callQueue1.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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