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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (PHOENIX-5197) Use extraOptions to set the configuration for Spark Workers
Date Wed, 03 Apr 2019 01:29:00 GMT

    [ https://issues.apache.org/jira/browse/PHOENIX-5197?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16808280#comment-16808280
] 

Hadoop QA commented on PHOENIX-5197:
------------------------------------

{color:red}-1 overall{color}.  Here are the results of testing the latest attachment 
  http://issues.apache.org/jira/secure/attachment/12964640/PHOENIX-5197.patch
  against master branch at commit 507e6b5a0f0c94cd85ed359cd04d92e849743a31.
  ATTACHMENT ID: 12964640

    {color:green}+1 @author{color}.  The patch does not contain any @author tags.

    {color:red}-1 tests included{color}.  The patch doesn't appear to include any new or modified
tests.
                        Please justify why no new tests are needed for this patch.
                        Also please list what manual steps were performed to verify this patch.

    {color:red}-1 patch{color}.  The patch command could not apply the patch.

Console output: https://builds.apache.org/job/PreCommit-PHOENIX-Build/2474//console

This message is automatically generated.

> Use extraOptions to set the configuration for Spark Workers
> -----------------------------------------------------------
>
>                 Key: PHOENIX-5197
>                 URL: https://issues.apache.org/jira/browse/PHOENIX-5197
>             Project: Phoenix
>          Issue Type: Improvement
>    Affects Versions: 5.0.0, 4.15.0
>            Reporter: Chinmay Kulkarni
>            Assignee: Chinmay Kulkarni
>            Priority: Major
>         Attachments: PHOENIX-5197.patch
>
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> We need a standardized way to set configurations for Spark driver and workers when reading
and writing data.
> Quoting from my offline discussion with [~twdsilva@gmail.com]:
> _"if we use phoenixTableAsRDD to create the rdd then we can pass in a config_
>  _if we use the standard df.write.format() we can't pass in a conf_
>  _maybe the best was to do this is to put config in the option map when we call read/write
.format and then set those in the config"_



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