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From "Nick Dimiduk (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-8694) Performance evaluation of encoding implementations
Date Wed, 31 Jul 2013 04:03:50 GMT

    [ https://issues.apache.org/jira/browse/HBASE-8694?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13724843#comment-13724843

Nick Dimiduk commented on HBASE-8694:

Here's the output of an initial benchmark suite over [Long|https://microbenchmarks.appspot.com/runs/57d5dc89-d731-4069-8253-907568de0108]
and [Double|https://microbenchmarks.appspot.com/runs/829251d9-c633-4289-b731-f041ae1d69fe]
encodings. This is vs. code from yesterday; it does not include today's refactor to ByteRange
or the introduction of Guava Precondition checking. Benchmark code is in a [repository on
github|https://github.com/ndimiduk/encoding-microbench] and include basic instructions for

Preliminary results indicate Phoenix's DECIMAL is ~2x faster and uses ~3x fewer heap objects
than my Numeric implementation. Nice job [~giacomotaylor]! I'll look into cribbing off of
your implementation tomorrow ;) In the mean time, have a look at the implementations and make
sure I'm doing the other encoding libraries justice.
> Performance evaluation of encoding implementations
> --------------------------------------------------
>                 Key: HBASE-8694
>                 URL: https://issues.apache.org/jira/browse/HBASE-8694
>             Project: HBase
>          Issue Type: Sub-task
>          Components: Client
>            Reporter: Nick Dimiduk
>            Assignee: Nick Dimiduk
>             Fix For: 0.95.2
> This ticket encapsulates a micro-benchmark of serialization implementation and any performance
enhancements that fall out. Specifically, the implementation posted in HBASE-8201 should be
compared to the performance of Phoenix's [PDataType|https://github.com/forcedotcom/phoenix/blob/master/src/main/java/com/salesforce/phoenix/schema/PDataType.java]

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