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https://issues.apache.org/jira/browse/NIFI-1706?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16436951#comment-16436951
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ASF subversion and git services commented on NIFI-1706:
-------------------------------------------------------

Commit 82ac815536d53c00f848f2eae79474035a9eb126 in nifi's branch 
refs/heads/master from [~patricker]
[ https://git-wip-us.apache.org/repos/asf?p=nifi.git;h=82ac815 ]

NIFI-1706: Extend QueryDatabaseTable to support arbitrary queries

- Only include Maximum Value columns in the type map.
- Squashed commits in the previous PR
- Rebased against the latest master
- Added stop method to GenerateTableFetch so that it refreshes the
column type map when it gets restarted
- Fixed whitespacing around if/for statement
- Updated expressionLanguageSupported value since it is not auto-merged
correctly

This closes #2618.

Signed-off-by: Koji Kawamura <ijokaruma...@apache.org>


> Extend QueryDatabaseTable to support arbitrary queries
> ------------------------------------------------------
>
>                 Key: NIFI-1706
>                 URL: https://issues.apache.org/jira/browse/NIFI-1706
>             Project: Apache NiFi
>          Issue Type: Improvement
>          Components: Core Framework
>    Affects Versions: 1.4.0
>            Reporter: Paul Bormans
>            Assignee: Peter Wicks
>            Priority: Major
>              Labels: features
>
> The QueryDatabaseTable is able to observe a configured database table for new 
> rows and yield these into the flowfile. The model of an rdbms however is 
> often (if not always) normalized so you would need to join various tables in 
> order to "flatten" the data into useful events for a processing pipeline as 
> can be build with nifi or various tools within the hadoop ecosystem.
> The request is to extend the processor to specify an arbitrary sql query 
> instead of specifying the table name + columns.
> In addition (this may be another issue?) it is desired to limit the number of 
> rows returned per run. Not just because of bandwidth issue's from the nifi 
> pipeline onwards but mainly because huge databases may not be able to return 
> so many records within a reasonable time.



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