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From "Sean Mackrory (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HADOOP-16085) S3Guard: use object version to protect against inconsistent read after replace/overwrite
Date Fri, 01 Feb 2019 22:28:00 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-16085?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16758726#comment-16758726
] 

Sean Mackrory commented on HADOOP-16085:
----------------------------------------

{quote}object version can be up to 1024 characters{quote}
I'm less concerned about the space taken up in the metadata store - the problems I'm trying
to remember were due to the amount of space in the S3 bucket itself. It was with repeated
test runs, so there were similar filenames used many, many times (which is not that realistic,
but the more you care about read-after-update consistency, the more this would impact you),
so many versions had been kept.

> S3Guard: use object version to protect against inconsistent read after replace/overwrite
> ----------------------------------------------------------------------------------------
>
>                 Key: HADOOP-16085
>                 URL: https://issues.apache.org/jira/browse/HADOOP-16085
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs/s3
>    Affects Versions: 3.2.0
>            Reporter: Ben Roling
>            Priority: Major
>         Attachments: HADOOP-16085_3.2.0_001.patch
>
>
> Currently S3Guard doesn't track S3 object versions.  If a file is written in S3A with
S3Guard and then subsequently overwritten, there is no protection against the next reader
seeing the old version of the file instead of the new one.
> It seems like the S3Guard metadata could track the S3 object version.  When a file is
created or updated, the object version could be written to the S3Guard metadata.  When a
file is read, the read out of S3 could be performed by object version, ensuring the correct
version is retrieved.
> I don't have a lot of direct experience with this yet, but this is my impression from
looking through the code.  My organization is looking to shift some datasets stored in HDFS
over to S3 and is concerned about this potential issue as there are some cases in our codebase
that would do an overwrite.
> I imagine this idea may have been considered before but I couldn't quite track down any
JIRAs discussing it.  If there is one, feel free to close this with a reference to it.
> Am I understanding things correctly?  Is this idea feasible?  Any feedback that could
be provided would be appreciated.  We may consider crafting a patch.



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