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From "stack (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-8755) A new write thread model for HLog to improve the overall HBase write throughput
Date Fri, 13 Dec 2013 17:29:11 GMT

    [ https://issues.apache.org/jira/browse/HBASE-8755?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13847690#comment-13847690
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stack commented on HBASE-8755:
------------------------------

I did a compare over three hours and throughput flips in favor of this patch the longer we
run (15% more writes after three hours)

Let me commit.  This patch makes for better throughput when under high contention, cleans
up the code, and lays groundwork for multiwal with its detaching syncing from handlers but
I don't like the slowdown at low numbers.  Let us fix that promptly.  I created a subtask
to address this and assigned myself.


> A new write thread model for HLog to improve the overall HBase write throughput
> -------------------------------------------------------------------------------
>
>                 Key: HBASE-8755
>                 URL: https://issues.apache.org/jira/browse/HBASE-8755
>             Project: HBase
>          Issue Type: Improvement
>          Components: Performance, wal
>            Reporter: Feng Honghua
>            Assignee: stack
>            Priority: Critical
>         Attachments: 8755-syncer.patch, 8755trunkV2.txt, 8755v8.txt, 8755v9.txt, HBASE-8755-0.94-V0.patch,
HBASE-8755-0.94-V1.patch, HBASE-8755-0.96-v0.patch, HBASE-8755-trunk-V0.patch, HBASE-8755-trunk-V1.patch,
HBASE-8755-trunk-v4.patch, HBASE-8755-trunk-v6.patch, HBASE-8755-trunk-v7.patch, HBASE-8755-v5.patch,
thread.out
>
>
> In current write model, each write handler thread (executing put()) will individually
go through a full 'append (hlog local buffer) => HLog writer append (write to hdfs) =>
HLog writer sync (sync hdfs)' cycle for each write, which incurs heavy race condition on updateLock
and flushLock.
> The only optimization where checking if current syncTillHere > txid in expectation
for other thread help write/sync its own txid to hdfs and omitting the write/sync actually
help much less than expectation.
> Three of my colleagues(Ye Hangjun / Wu Zesheng / Zhang Peng) at Xiaomi proposed a new
write thread model for writing hdfs sequence file and the prototype implementation shows a
4X improvement for throughput (from 17000 to 70000+). 
> I apply this new write thread model in HLog and the performance test in our test cluster
shows about 3X throughput improvement (from 12150 to 31520 for 1 RS, from 22000 to 70000 for
5 RS), the 1 RS write throughput (1K row-size) even beats the one of BigTable (Precolator
published in 2011 says Bigtable's write throughput then is 31002). I can provide the detailed
performance test results if anyone is interested.
> The change for new write thread model is as below:
>  1> All put handler threads append the edits to HLog's local pending buffer; (it notifies
AsyncWriter thread that there is new edits in local buffer)
>  2> All put handler threads wait in HLog.syncer() function for underlying threads
to finish the sync that contains its txid;
>  3> An single AsyncWriter thread is responsible for retrieve all the buffered edits
in HLog's local pending buffer and write to the hdfs (hlog.writer.append); (it notifies AsyncFlusher
thread that there is new writes to hdfs that needs a sync)
>  4> An single AsyncFlusher thread is responsible for issuing a sync to hdfs to persist
the writes by AsyncWriter; (it notifies the AsyncNotifier thread that sync watermark increases)
>  5> An single AsyncNotifier thread is responsible for notifying all pending put handler
threads which are waiting in the HLog.syncer() function
>  6> No LogSyncer thread any more (since there is always AsyncWriter/AsyncFlusher threads
do the same job it does)



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