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https://issues.apache.org/jira/browse/HBASE-5074?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13202097#comment-13202097
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Phabricator commented on HBASE-5074:
------------------------------------
dhruba has commented on the revision "[jira] [HBASE-5074] Support checksums in
HBase block cache".
INLINE COMMENTS
src/main/java/org/apache/hadoop/hbase/io/hfile/HFile.java:160 my choice would
be to make java's crc32 be the default. PureJavacrc32 is compatible with java's
crc32. However, purejavacrc32C is not compatible with either of these.
Although PureJavaCRC32 is not part of 1.0, if and when you move to hadoop
2.0, you will automatically get the better performant algorithm via
Purejavacrc32.
For the adventurous, one can manually pull in PureJavaCRC32C inot one's own
hbase deployment by explicitly setting hbase.hstore.checksum.algorithm to be
"CRC32C".
Does that sound reasonable?
src/main/java/org/apache/hadoop/hbase/regionserver/Store.java:257 sounds
good, will make this change.
REVISION DETAIL
https://reviews.facebook.net/D1521
> 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
> Attachments: D1521.1.patch, D1521.1.patch, D1521.2.patch,
> D1521.2.patch, D1521.3.patch, D1521.3.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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