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https://issues.apache.org/jira/browse/HBASE-2066?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12832821#action_12832821
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ryan rawson commented on HBASE-2066:
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i ran TestBatchPut for a while and inserted 3.3GB of data w/o problems. Ended
up with like 4 table splits. No more concurrent exceptions, no major
slowdown... the threads got slower as my machine bogged down, but it wasnt some
crazy kind of exponential slowdown originally reported.
if there is no complaints, i'm going to commit this as-is.
> Perf: parallelize puts
> ----------------------
>
> Key: HBASE-2066
> URL: https://issues.apache.org/jira/browse/HBASE-2066
> Project: Hadoop HBase
> Issue Type: Bug
> Affects Versions: 0.20.2
> Reporter: ryan rawson
> Assignee: ryan rawson
> Fix For: 0.21.0
>
> Attachments: HBASE-2066-3.patch, HBASE-2066-branch.patch,
> HBASE-2066-v2.patch, TestBatchPut.java
>
>
> Right now with large region count tables, the write buffer is not efficient.
> This is because we issue potentially N RPCs, where N is the # of regions in
> the table. When N gets large (lets say 1200+) things become sloowwwww.
> Instead if we batch things up using a different RPC and use thread pools, we
> could see higher performance!
> This requires a RPC change...
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