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https://issues.apache.org/jira/browse/NIFI-4595?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16247038#comment-16247038
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ASF GitHub Bot commented on NIFI-4595:
--------------------------------------

GitHub user ijokarumawak opened a pull request:

    https://github.com/apache/nifi/pull/2264

    NIFI-4595: Add ConsumeAzureEventHub.

    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/ijokarumawak/nifi nifi-4595

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

    https://github.com/apache/nifi/pull/2264.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 #2264
    
----
commit f45d305b2db38e2a2ca6ebd1398dc79c7aee4398
Author: Koji Kawamura <ijokaruma...@apache.org>
Date:   2017-11-08T14:20:58Z

    NIFI-4595: Add ConsumeAzureEventHub.

----


> Add ConsumeAzureEventHub processor
> ----------------------------------
>
>                 Key: NIFI-4595
>                 URL: https://issues.apache.org/jira/browse/NIFI-4595
>             Project: Apache NiFi
>          Issue Type: Improvement
>          Components: Extensions
>            Reporter: Koji Kawamura
>            Assignee: Koji Kawamura
>
> As reported by NIFI-2835, the existing GetAzureEventHub processor does not 
> handle partition distribution among nodes in a NiFi cluster, and handling 
> offset information across NiFi restart.
> The processor uses PartitionReceiver directly, however, there's another 
> approach to receive events from Event Hub, that is using EventProcessorHost 
> class.
> EventProcessorHost uses Azure Storage to store consumer group offset 
> information so that it can distribute consumer load among consumer instances 
> within the same group. Also this way can handle restart and NiFi cluster 
> scale scenario better.
> In addition to above enhancements, we could also add Record data model 
> capability to new ConsumeAzureEventHub. Similar to ConsumeKafkaRecord 
> processor.



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