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From "dhruba borthakur (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-5074) support checksums in HBase block cache
Date Tue, 06 Mar 2012 19:39:58 GMT

    [ https://issues.apache.org/jira/browse/HBASE-5074?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13223586#comment-13223586
] 

dhruba borthakur commented on HBASE-5074:
-----------------------------------------

I ran all four of them individually (manually), and all four of them pass.

Looking at the Hudson test results, it appears that all the failures are related to some map-reduce
problem, but not really sure the precise cause. But I think that these failures are somehow
related to this patch, especially because the Hudson tests for HBASE-5399 just passed successfully.
Will investigate more (but if you have any clues, please do let me know). 
                
> support checksums in HBase block cache
> --------------------------------------
>
>                 Key: HBASE-5074
>                 URL: https://issues.apache.org/jira/browse/HBASE-5074
>             Project: HBase
>          Issue Type: Improvement
>          Components: regionserver
>            Reporter: dhruba borthakur
>            Assignee: dhruba borthakur
>             Fix For: 0.94.0
>
>         Attachments: D1521.1.patch, D1521.1.patch, D1521.10.patch, D1521.10.patch, D1521.10.patch,
D1521.10.patch, D1521.10.patch, D1521.11.patch, D1521.11.patch, D1521.12.patch, D1521.12.patch,
D1521.13.patch, D1521.13.patch, D1521.2.patch, D1521.2.patch, D1521.3.patch, D1521.3.patch,
D1521.4.patch, D1521.4.patch, D1521.5.patch, D1521.5.patch, D1521.6.patch, D1521.6.patch,
D1521.7.patch, D1521.7.patch, D1521.8.patch, D1521.8.patch, D1521.9.patch, D1521.9.patch
>
>
> The current implementation of HDFS stores the data in one block file and the metadata(checksum)
in another block file. This means that every read into the HBase block cache actually consumes
two disk iops, one to the datafile and one to the checksum file. This is a major problem for
scaling HBase, because HBase is usually bottlenecked on the number of random disk iops that
the storage-hardware offers.

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