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Posted to issues@flink.apache.org by "Zhipeng Zhang (Jira)" <ji...@apache.org> on 2023/03/13 04:18:00 UTC

[jira] [Updated] (FLINK-31410) ListStateWithCache Should support incremental snapshot

     [ https://issues.apache.org/jira/browse/FLINK-31410?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Zhipeng Zhang updated FLINK-31410:
----------------------------------
    Description: 
In Flink ML, we use ListStateWithCache [2] to enable caching data in memory and filesystem. However, it does not support incremental snapshot now — It writes all the data to checkpoint stream whenever calling snapshot [1], which could be inefficient.

 

 [1][https://github.com/apache/flink-ml/blob/master/flink-ml-iteration/src/main/java/org/apache/flink/iteration/datacache/nonkeyed/DataCacheSnapshot.java#L116]

 [2][https://github.com/apache/flink-ml/blob/master/flink-ml-iteration/src/main/java/org/apache/flink/iteration/datacache/nonkeyed/ListStateWithCache.java] 

  was:
In Flink ML, we used ListStateWithCache [2] to enable caching data in memory and filesystem. However, it does not support incremental snapshot now — It writes all the data to checkpoint stream when calling snapshot [1], which could be inefficient.

 

 [1][https://github.com/apache/flink-ml/blob/master/flink-ml-iteration/src/main/java/org/apache/flink/iteration/datacache/nonkeyed/DataCacheSnapshot.java#L116]

 [2][https://github.com/apache/flink-ml/blob/master/flink-ml-iteration/src/main/java/org/apache/flink/iteration/datacache/nonkeyed/ListStateWithCache.java] 


> ListStateWithCache Should support incremental snapshot
> ------------------------------------------------------
>
>                 Key: FLINK-31410
>                 URL: https://issues.apache.org/jira/browse/FLINK-31410
>             Project: Flink
>          Issue Type: Improvement
>          Components: Library / Machine Learning
>    Affects Versions: ml-2.2.0
>            Reporter: Zhipeng Zhang
>            Priority: Major
>
> In Flink ML, we use ListStateWithCache [2] to enable caching data in memory and filesystem. However, it does not support incremental snapshot now — It writes all the data to checkpoint stream whenever calling snapshot [1], which could be inefficient.
>  
>  [1][https://github.com/apache/flink-ml/blob/master/flink-ml-iteration/src/main/java/org/apache/flink/iteration/datacache/nonkeyed/DataCacheSnapshot.java#L116]
>  [2][https://github.com/apache/flink-ml/blob/master/flink-ml-iteration/src/main/java/org/apache/flink/iteration/datacache/nonkeyed/ListStateWithCache.java] 



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