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https://issues.apache.org/jira/browse/HUDI-1138?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17384067#comment-17384067
 ] 

ASF GitHub Bot commented on HUDI-1138:
--------------------------------------

codecov-commenter commented on pull request #3233:
URL: https://github.com/apache/hudi/pull/3233#issuecomment-883297547


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   > The diff coverage is `0.00%`.
   
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   ```diff
   @@              Coverage Diff              @@
   ##             master    #3233       +/-   ##
   =============================================
   - Coverage     47.74%   15.99%   -31.75%     
   + Complexity     5591      505     -5086     
   =============================================
     Files           938      288      -650     
     Lines         41823    11953    -29870     
     Branches       4213      989     -3224     
   =============================================
   - Hits          19968     1912    -18056     
   + Misses        20070     9877    -10193     
   + Partials       1785      164     -1621     
   ```
   
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> Re-implement marker files via timeline server
> ---------------------------------------------
>
>                 Key: HUDI-1138
>                 URL: https://issues.apache.org/jira/browse/HUDI-1138
>             Project: Apache Hudi
>          Issue Type: Improvement
>          Components: Writer Core
>    Affects Versions: 0.9.0
>            Reporter: Vinoth Chandar
>            Assignee: Ethan Guo
>            Priority: Blocker
>              Labels: pull-request-available
>             Fix For: 0.9.0
>
>
> Even as you can argue that RFC-15/consolidated metadata, removes the need for 
> deleting partial files written due to spark task failures/stage retries. It 
> will still leave extra files inside the table (and users will pay for it 
> every month) and we need the marker mechanism to be able to delete these 
> partial files. 
> Here we explore if we can improve the current marker file mechanism, that 
> creates one marker file per data file written, by 
> Delegating the createMarker() call to the driver/timeline server, and have it 
> create marker metadata into a single file handle, that is flushed for 
> durability guarantees
>  
> P.S: I was tempted to think Spark listener mechanism can help us deal with 
> failed tasks, but it has no guarantees. the writer job could die without 
> deleting a partial file. i.e it can improve things, but cant provide 
> guarantees 



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