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From "Steve Loughran (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HADOOP-16176) Add some tests about S3 timestamp tracking
Date Thu, 14 Mar 2019 14:43:00 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-16176?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Steve Loughran updated HADOOP-16176:
------------------------------------
    Summary: Add some tests about S3 timestamp tracking  (was: Add some tests about timestamp
tracking)

> 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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