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https://issues.apache.org/jira/browse/FLINK-6364?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15989920#comment-15989920
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ASF GitHub Bot commented on FLINK-6364:
---------------------------------------

GitHub user shixiaogang opened a pull request:

    https://github.com/apache/flink/pull/3801

    [FLINK-6364] [checkpoints] Implement incremental checkpointing in 
RocksDBKeyedStateBackend

    This is the initial implementation of incremental checkpointing in 
RocksDBKeyedStateBackend. Changes include 
    1. Add a new `CheckpointType` for incremental checkpoints.
    2. Call the `restore()` method for all `KeyedStateBackend` if the restore 
state handle is null or empty.
    3. Implement `RocksDBIncrementalSnapshotOperation` and 
`RocksDBIncrementalRestoreOperation` which supports incremental snapshotting 
and restoring with/without parallelism changes, respectively.

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

    $ git pull https://github.com/shixiaogang/flink flink-6364

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

    https://github.com/apache/flink/pull/3801.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 #3801
    
----
commit c5340a2186ecfbc48c46048db5adb11af83db511
Author: xiaogang.sxg <xiaogang....@alibaba-inc.com>
Date:   2017-04-29T15:44:36Z

    Implement incremental checkpointing in RocksDBKeyedStateBackend

----


> Implement incremental checkpointing in RocksDBStateBackend
> ----------------------------------------------------------
>
>                 Key: FLINK-6364
>                 URL: https://issues.apache.org/jira/browse/FLINK-6364
>             Project: Flink
>          Issue Type: Sub-task
>          Components: State Backends, Checkpointing
>            Reporter: Xiaogang Shi
>            Assignee: Xiaogang Shi
>
> {{RocksDBStateBackend}} is well suited for incremental checkpointing because 
> RocksDB is base on LSM trees,  which record updates in new sst files and all 
> sst files are immutable. By only materializing those new sst files, we can 
> significantly improve the performance of checkpointing.



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