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https://issues.apache.org/jira/browse/HBASE-24?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jim Kellerman updated HBASE-24:
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Priority: Critical (was: Major)
Changing priority to Critical to emphasize that this is one of the major
roadblocks to scalability that we have.
And the problem is not only on the number of connections the region servers
have open to the dfs, but also include datanode connections for each open file.
> [hbase] Scaling: Too many open file handles to datanodes
> --------------------------------------------------------
>
> Key: HBASE-24
> URL: https://issues.apache.org/jira/browse/HBASE-24
> Project: Hadoop HBase
> Issue Type: Bug
> Components: regionserver
> Reporter: stack
> Priority: Critical
>
> We've been here before (HADOOP-2341).
> Today the rapleaf gave me an lsof listing from a regionserver. Had thousands
> of open sockets to datanodes all in ESTABLISHED and CLOSE_WAIT state. On
> average they seem to have about ten file descriptors/sockets open per region
> (They have 3 column families IIRC. Per family, can have between 1-5 or so
> mapfiles open per family -- 3 is max... but compacting we open a new one,
> etc.).
> They have thousands of regions. 400 regions -- ~100G, which is not that
> much -- takes about 4k open file handles.
> If they want a regionserver to server a decent disk worths -- 300-400G --
> then thats maybe 1600 regions... 16k file handles. If more than just 3
> column families..... then we are in danger of blowing out limits if they are
> 32k.
> We've been here before with HADOOP-2341.
> A dfsclient that used non-blocking i/o would help applications like hbase
> (The datanode doesn't have this problem as bad -- CLOSE_WAIT on regionserver
> side, the bulk of the open fds in the rapleaf log, don't have a corresponding
> open resource on datanode end).
> Could also just open mapfiles as needed, but that'd kill our random read
> performance and its bad enough already.
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