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Date: Fri, 10 Jul 2015 19:56:06 +0000 (UTC)
From: "Arpit Agarwal (JIRA)" <jira@apache.org>
To: hdfs-issues@hadoop.apache.org
Message-ID: <JIRA.12843246.1436291037000.158426.1436558166479@Atlassian.JIRA>
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Subject: [jira] [Commented] (HDFS-8722) Optimize datanode writes for small
 writes and flushes
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    [ https://issues.apache.org/jira/browse/HDFS-8722?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14622825#comment-14622825 ] 

Arpit Agarwal commented on HDFS-8722:
-------------------------------------

Nice catch. A quick test shows ~15% throughput regression since 2.6.0 for \[small writes+hflush\].
||Release||IO Size||Throughput (KBps)||
|2.6.0|16411|22263|
|2.7.1|16411|18609|

Chunk aligned writes are at par with 2.6.0.
||Release||IO Size||Throughput (KBps)||
|2.6.0|16384|21651|
|2.7.1|16384|21460|

1GB file with 128 MB blocks.

> Optimize datanode writes for small writes and flushes
> -----------------------------------------------------
>
>                 Key: HDFS-8722
>                 URL: https://issues.apache.org/jira/browse/HDFS-8722
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>    Affects Versions: 2.7.1
>            Reporter: Kihwal Lee
>            Assignee: Kihwal Lee
>            Priority: Critical
>         Attachments: HDFS-8722.patch, HDFS-8722.v1.patch
>
>
> After the data corruption fix by HDFS-4660, the CRC recalculation for partial chunk is executed more frequently, if the client repeats writing few bytes and calling hflush/hsync.  This is because the generic logic forces CRC recalculation if on-disk data is not CRC chunk aligned. Prior to HDFS-4660, datanode blindly accepted whatever CRC client provided, if the incoming data is chunk-aligned. This was the source of the corruption.
> We can still optimize for the most common case where a client is repeatedly writing small number of bytes followed by hflush/hsync with no pipeline recovery or append, by allowing the previous behavior for this specific case.  If the incoming data has a duplicate portion and that is at the last chunk-boundary before the partial chunk on disk, datanode can use the checksum supplied by the client without redoing the checksum on its own.  This reduces disk reads as well as CPU load for the checksum calculation.
> If the incoming packet data goes back further than the last on-disk chunk boundary, datanode will still do a recalculation, but this occurs rarely during pipeline recoveries. Thus the optimization for this specific case should be sufficient to speed up the vast majority of cases.


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