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https://issues.apache.org/jira/browse/NIFI-4517?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16425243#comment-16425243
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Ian Neethling edited comment on NIFI-4517 at 4/4/18 9:31 AM:
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Hi [~mattyb149], do you think this will be a priority for Nifi 1.7.0? I'm not 
really all that familiar with contributing to Apache projects, but I have 
developed custom processors before and would be keen to help with this since 
with the various Schema Registries now available in Nifi a lot of resources 
could be saved by not including the embedded schema  in the outputted flowfile, 
this would of course be configurable.


was (Author: ioneethling):
Hi [~mattyb149], do you think this will be a priority for Nifi 1.7.0? I'm not 
really all that familiar with contributing to Apache projects, but I have 
developed custom processors before and would be keen to help with this since 
with the various Schema Registries now available in Nifi a lot of resources 
could be saved by not including the embedded schema registry in the outputted 
flowfile, this would of course be configurable.

> Create a processor to allow SQL results to be output as records in any 
> supported format (ExecuteSQLToRecord)
> ------------------------------------------------------------------------------------------------------------
>
>                 Key: NIFI-4517
>                 URL: https://issues.apache.org/jira/browse/NIFI-4517
>             Project: Apache NiFi
>          Issue Type: New Feature
>          Components: Extensions
>            Reporter: Matt Burgess
>            Priority: Major
>
> ExecuteSQL currently only outputs Avro, and the schema is only available as 
> embedded within the flow file, not as an attribute such as record-aware 
> processors can handle.
> I propose an ExecuteSQLToRecord processor that can be configured with a 
> RecordSetWriter implementation, or to change the existing ExecuteSQL 
> processor (although that might be more invasive and disruptive to existing 
> flows). This will allow output using any writer format (Avro, JSON, CSV, 
> Free-form text, etc.), as well as all the other features therein (such as 
> writing the schema to an attribute, and will avoid the need for a 
> ConvertAvroToXYZ or ConvertRecord processor downstream.



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