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https://issues.apache.org/jira/browse/HADOOP-3779?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12614582#action_12614582
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rangadi edited comment on HADOOP-3779 at 7/17/08 5:25 PM:
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Couple of things :
* HADOOP-2346 has nothing to with number of threads. #threads is same as
before. If anything it makes it easier to move to using a thread pool.
* After HADOOP-3633, DN limits number simultaneous threads to 256. Is that what
you want? Let us know if that works for you.
was (Author: rangadi):
Couple of things :
* HADOOP-2346 has nothing to with number of threads. Its same as before. If
anything it makes it easier to move to using a thread pool.
* After HADOOP-3633, DN limits number simultaneous threads to 256. Is that what
you want? Let us know if that works for you.
> limit concurrent connections(data serving thread) in one datanode
> -----------------------------------------------------------------
>
> Key: HADOOP-3779
> URL: https://issues.apache.org/jira/browse/HADOOP-3779
> Project: Hadoop Core
> Issue Type: Improvement
> Components: dfs
> Affects Versions: 0.17.1
> Reporter: LN
> Priority: Minor
>
> i'm here after HADOOP-2341 and HADOOP-2346, in my hbase env, many opening
> mapfiles cause datanode OOME(stack memory), because 2000+ data serving
> threads in datanode process.
> although HADOOP-2346 has implements timeouts, it will be some situation many
> connection created before the read timeout(default 6min) reach. like hbase
> does, it open all files on regionserver startup.
> limit concurrent connections(data serving thread) will make datanode more
> stable. and i think it could be done in
> SocketIOWithTimeout$SelectorPool#select:
> 1. in SelectorPool#select, record all waiting SelectorInfo instances in a
> List at the beginning, and remove it after 'Selector#select' done.
> 2. before real 'select', do a limitation check, if reached, close the first
> selectorInfo.
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