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https://issues.apache.org/jira/browse/PHOENIX-1973?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15133666#comment-15133666
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Sergey Soldatov commented on PHOENIX-1973:
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Honestly speaking I tested on 1 node local setup, so the performance gain isn't
big (2m 12s to 1m 45s). In distributed mode it supposed to be better due
loading files from hdfs.
[~devaraj] yep, I tried, I wasn't impressed by the execution time which was
increased almost in two times. But yet again, that was MacOS and I used the
pure java zip. Possible with native libraries it will be better.
> Improve CsvBulkLoadTool performance by moving keyvalue construction from map
> phase to reduce phase
> --------------------------------------------------------------------------------------------------
>
> Key: PHOENIX-1973
> URL: https://issues.apache.org/jira/browse/PHOENIX-1973
> Project: Phoenix
> Issue Type: Improvement
> Reporter: Rajeshbabu Chintaguntla
> Assignee: Sergey Soldatov
> Fix For: 4.4.1
>
> Attachments: PHOENIX-1973-1.patch, PHOENIX-1973-2.patch
>
>
> It's similar to HBASE-8768. Only thing is we need to write custom mapper and
> reducer in Phoenix. In Map phase we just need to get row key from primary key
> columns and write the full text of a line as usual(to ensure sorting). In
> reducer we need to get actual key values by running upsert query.
> It's basically reduces lot of map output to write to disk and data need to be
> transferred through network.
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