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https://issues.apache.org/jira/browse/NIFI-1706?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16430405#comment-16430405
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ASF GitHub Bot commented on NIFI-1706:
--------------------------------------

Github user ijokarumawak commented on the issue:

    https://github.com/apache/nifi/pull/2162
  
    Hi @patricker 
    
    I have rebased your PR against the latest master and fixed the unit test 
failures. And created another PR based on yours. Would you take a look on this? 
#2618 Would you close this one if it looks to you to make a single combined PR? 
Thanks!
    
    @mattyb149 It'd be appreciated if you can take a look on #2618, too. Since 
it has updates related to what you've done with #2504 NIFI-4773. Thanks!


> 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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