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https://issues.apache.org/jira/browse/HADOOP-16176?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Steve Loughran resolved HADOOP-16176.
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Resolution: Won't Fix
> Add some tests about S3 timestamp tracking
> ------------------------------------------
>
> Key: HADOOP-16176
> URL: https://issues.apache.org/jira/browse/HADOOP-16176
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: fs/s3, test
> Affects Versions: 3.3.0
> Reporter: Steve Loughran
> Priority: Minor
>
> We need to make sure we understand timestamp behaviour across S3
> implementations, for both single part and multipart uploads
> tests to verify that the timestamp of files is consistent
> * individual files's timestamps don't appear to change
> * if you upload two small files in sequence, the timestamp of file 2> file 1
> MPU uploads are different: their timestamp may be that of the upload start,
> rater than upload delete
> A sequence of
> # init MPU to file1
> # PUT to file 2
> # complete MPU to file1
> may result in timestamp(file1) < timestamp(file2)
> but if you add a PUT to file 0 before step 1, then we require that
> timestamp(file0) < timestamp(file1). That is: there's still an ordering on
> initialization.
> these tests are probably relevant to all MPU implementations, though they'll
> offer different timing outcomes
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