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https://issues.apache.org/jira/browse/HBASE-2353?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12853482#action_12853482
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Andrew Purtell commented on HBASE-2353:
---------------------------------------

I am seeing similar performance killing effects on the write path benching up 
on EC2. I was so concerned have switched from m1.large to c1.xlarge and am 
currently getting a new baseline using the larger instance types, presumably 
with better i/o characteristics, with 0.20.3 and 0.20.4 with 
dfs.support.append=false. When I switch dfs.support.append=true I expect to go 
off a cliff.

> HBASE-2283 removed bulk sync optimization for multi-row puts
> ------------------------------------------------------------
>
>                 Key: HBASE-2353
>                 URL: https://issues.apache.org/jira/browse/HBASE-2353
>             Project: Hadoop HBase
>          Issue Type: Bug
>            Reporter: ryan rawson
>            Priority: Blocker
>             Fix For: 0.20.4, 0.21.0
>
>         Attachments: HBASE-2353-deferred.txt
>
>
> previously to HBASE-2283 we used to call flush/sync once per put(Put[]) call 
> (ie: batch of commits).  Now we do for every row.  
> This makes bulk uploads slower if you are using WAL.  Is there an acceptable 
> solution to achieve both safety and performance by bulk-sync'ing puts?  Or 
> would this not work in face of atomic guarantees?
> discuss!

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