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https://issues.apache.org/jira/browse/FLINK-4821?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15746999#comment-15746999
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ASF GitHub Bot commented on FLINK-4821:
---------------------------------------

GitHub user tony810430 opened a pull request:

    https://github.com/apache/flink/pull/3001

    [FLINK-4821] [kinesis] Implement rescalable non-partitioned state for 
Kinesis Connector

    Implement ListCheckpointed interface on Kinesis Consumer
    
    As a reminder, I returned empty list instead of null in some cases in the 
snapshotState, because snapshotState method in AbstractUdfStreamOperator didn't 
handle the situation when list is null and would get NullPointeException in the 
foreach statement. (see line 106 to line 119 in AbstractUdfStreamOperator)

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/tony810430/flink FLINK-4821

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

    https://github.com/apache/flink/pull/3001.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 #3001
    
----
commit fa0829738fd075fb4e65e31698acbc8fd0f16af2
Author: 魏偉哲 <tonywei@tonyweis-macbook-pro.local>
Date:   2016-12-14T02:18:25Z

    [FLINK-4821] Implement rescalable non-partitioned state for Kinesis 
Connector

----


> Implement rescalable non-partitioned state for Kinesis Connector
> ----------------------------------------------------------------
>
>                 Key: FLINK-4821
>                 URL: https://issues.apache.org/jira/browse/FLINK-4821
>             Project: Flink
>          Issue Type: New Feature
>          Components: Kinesis Connector
>            Reporter: Tzu-Li (Gordon) Tai
>            Assignee: Wei-Che Wei
>             Fix For: 1.2.0
>
>
> FLINK-4379 added the rescalable non-partitioned state feature, along with the 
> implementation for the Kafka connector.
> The AWS Kinesis connector will benefit from the feature and should implement 
> it too. This ticket tracks progress for this.



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