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https://issues.apache.org/jira/browse/HADOOP-18805?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17744841#comment-17744841
 ] 

ASF GitHub Bot commented on HADOOP-18805:
-----------------------------------------

hadoop-yetus commented on PR #5851:
URL: https://github.com/apache/hadoop/pull/5851#issuecomment-1643000810

   :confetti_ball: **+1 overall**
   
   
   
   
   
   
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   |||| _ Other Tests _ |
   | +1 :green_heart: |  unit  |   2m 35s |  |  hadoop-aws in the patch passed. 
 |
   | +1 :green_heart: |  asflicense  |   0m 43s |  |  The patch does not 
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   |  |   | 131m 46s |  |  |
   
   
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   | GITHUB PR | https://github.com/apache/hadoop/pull/5851 |
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> s3a large file prefetch tests are too slow, don't validate data
> ---------------------------------------------------------------
>
>                 Key: HADOOP-18805
>                 URL: https://issues.apache.org/jira/browse/HADOOP-18805
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs/s3, test
>    Affects Versions: 3.3.9
>            Reporter: Steve Loughran
>            Priority: Major
>              Labels: pull-request-available
>
> the large file prefetch tests (including LRU cache eviction) are really slow.
> moving under -scale may hide the problem for most runs, but they are still 
> too slow, can time out, etc etc.
> also, and this is very, very important, they can't validate the data.
> Better: 
> * test on smaller files by setting a very small block size (1k bytes or less) 
> just to force paged reads of a small 16k file.
> * with known contents to the values of all forms of read can be validated
> * maybe the LRU tests can work with a fake remote object which can then be 
> used in a unit test
> * extend one of the huge file tests to read from there -including s3-CSE 
> encryption coverage.



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