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https://issues.apache.org/jira/browse/NIFI-4473?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16209367#comment-16209367
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ASF GitHub Bot commented on NIFI-4473:
--------------------------------------

GitHub user pvillard31 opened a pull request:

    https://github.com/apache/nifi/pull/2215

    NIFI-4473 - fixed NPE in parametrized queries

    Thank you for submitting a contribution to Apache NiFi.
    
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    to ensure the following steps have been taken:
    
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You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/pvillard31/nifi PR2212

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/nifi/pull/2215.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #2215
    
----
commit daac9833900424b1e3210aaab552f974623f255a
Author: Matthew Burgess <mattyb...@apache.org>
Date:   2017-10-16T17:38:56Z

    NIFI-4473 - fixed NPE in parametrized queries

----


> Add support for large result sets and normalizing Avro names to SelectHiveQL
> ----------------------------------------------------------------------------
>
>                 Key: NIFI-4473
>                 URL: https://issues.apache.org/jira/browse/NIFI-4473
>             Project: Apache NiFi
>          Issue Type: Improvement
>          Components: Extensions
>            Reporter: Matt Burgess
>            Assignee: Matt Burgess
>             Fix For: 1.5.0
>
>
> A number of enhancements were made to processors like QueryDatabaseTable to 
> allow for such things as:
> - Splitting result sets into multiple flow files (i.e. Max Rows Per Flowfile 
> property)
> - Max number of splits/rows returned (Max fragments)
> - Normalizing names to be Avro-compatible
> The RDBMS processors also now support Avro logical types, but the version of 
> Avro needed by the current version of Hive (1.2.1) is Avro 1.7.7, which does 
> not support logical types.
> These enhancements were made to JdbcCommon, but not to HiveJdbcCommon (the 
> Hive version of the JDBC utils class). Since Hive queries can return even 
> larger result sets than traditional RDBMS, these properties/enhancements are 
> at least as valuable to have for SelectHiveQL.



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