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Date: Fri, 26 Feb 2016 20:00:19 +0000 (UTC)
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Subject: [jira] [Commented] (ACCUMULO-1755) BatchWriter blocks all
 addMutation calls while binning mutations
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    [ https://issues.apache.org/jira/browse/ACCUMULO-1755?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15169685#comment-15169685 ] 

ASF GitHub Bot commented on ACCUMULO-1755:
------------------------------------------

Github user keith-turner commented on a diff in the pull request:

    https://github.com/apache/accumulo/pull/75#discussion_r54293942
  
    --- Diff: core/src/main/java/org/apache/accumulo/core/client/impl/TabletServerBatchWriter.java ---
    @@ -699,7 +701,16 @@ else if (Tables.getTableState(context.getInstance(), table) == TableState.OFFLIN
     
         }
     
    -    void addMutations(MutationSet mutationsToSend) {
    +    void queueMutations(final MutationSet mutationsToSend) {
    +      queueThreadPool.submit(new Runnable() {
    +        public void run() {
    +          addMutations(mutationsToSend);
    --- End diff --
    
    I meant unexpected exception


> BatchWriter blocks all addMutation calls while binning mutations
> ----------------------------------------------------------------
>
>                 Key: ACCUMULO-1755
>                 URL: https://issues.apache.org/jira/browse/ACCUMULO-1755
>             Project: Accumulo
>          Issue Type: Improvement
>          Components: client
>            Reporter: Adam Fuchs
>            Assignee: Dave Marion
>             Fix For: 1.8.0
>
>          Time Spent: 20m
>  Remaining Estimate: 0h
>
> Through code inspection, we found that the BatchWriter bins mutations inside of a synchronized block that covers calls to addMutation. Binning potentially involves lookups of tablet metadata and processes a fair amount of information. We will get better parallelism if we can either unlock the lock while binning, dedicate another thread to do the binning, or use one of the send threads to do the binning.
> This has not been verified empirically yet, so there is not yet any profiling info to indicate the level of improvement that we should expect. Profiling and repeatable demonstration of this performance bottleneck should be the first step on this ticket.


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