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https://issues.apache.org/jira/browse/HADOOP-18458?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17606838#comment-17606838
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ASF GitHub Bot commented on HADOOP-18458:
-----------------------------------------

wujinhu opened a new pull request, #4912:
URL: https://github.com/apache/hadoop/pull/4912

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   ### Description of PR
   
   Jira issue: https://issues.apache.org/jira/browse/HADOOP-18458
   
   ### How was this patch tested?
   
   New unit tests.
   ### For code changes:
   
   - [X] Does the title or this PR starts with the corresponding JIRA issue id 
(e.g. 'HADOOP-17799. Your PR title ...')?
   - [X] Object storage: have the integration tests been executed and the 
endpoint declared according to the connector-specific documentation?
   - [ ] If adding new dependencies to the code, are these dependencies 
licensed in a way that is compatible for inclusion under [ASF 
2.0](http://www.apache.org/legal/resolved.html#category-a)?
   - [ ] If applicable, have you updated the `LICENSE`, `LICENSE-binary`, 
`NOTICE-binary` files?
   
   




> AliyunOSS: AliyunOSSBlockOutputStream to support heap/off-heap buffer before 
> uploading data to OSS
> --------------------------------------------------------------------------------------------------
>
>                 Key: HADOOP-18458
>                 URL: https://issues.apache.org/jira/browse/HADOOP-18458
>             Project: Hadoop Common
>          Issue Type: Improvement
>          Components: fs/oss
>    Affects Versions: 3.0.3, 3.1.4, 2.10.2, 3.2.4, 3.3.4
>            Reporter: wujinhu
>            Assignee: wujinhu
>            Priority: Major
>
> Recently, our customers raise a requirement: AliyunOSSBlockOutputStream 
> should support heap/off-heap buffer before uploading data to OSS.
> Currently, AliyunOSSBlockOutputStream buffers data in local directory before 
> uploading to OSS, it is not efficient compared to memory.
> Changes:
>  # Adds heap/off-heap buffers
>  # Adds limitation of memory used, and fallback to disk



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