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https://issues.apache.org/jira/browse/PHOENIX-1973?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15147789#comment-15147789
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Sergey Soldatov commented on PHOENIX-1973:
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[~jamestaylor] It seems that you don't have /bin/java, so mapreduce job fails.
I have found that there is an another issue with bulk load for local indexes
that were committed during patch review, so I'm trying to figure out how to fix
it.
> 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: 4.7.0
>
> Attachments: PHOENIX-1973-1.patch, PHOENIX-1973-2.patch,
> PHOENIX-1973-3.patch, PHOENIX-1973-4.patch, PHOENIX-1973-5.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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