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https://issues.apache.org/jira/browse/HADOOP-16085?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16805009#comment-16805009
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Ben Roling commented on HADOOP-16085:
-------------------------------------
I just logged HADOOP-16221 which is somewhat related to this. Without it,
there is still risk of a job starting with an inconsistent read of its expected
input. As indicated in HADOOP-16221, that risk exists without any overwrites
occurring, which is why it is broader than just this JIRA. The risk does apply
after an overwrite as well though. The overwrite may succeed while the
corresponding metadata update fails, leaving the incorrect ETag and versionId
in the metadata store. The processing pipeline would proceed with the next job
reading the wrong version of the input file.
> S3Guard: use object version or etags 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
> Assignee: Ben Roling
> Priority: Major
> Attachments: HADOOP-16085-003.patch, HADOOP-16085_002.patch,
> 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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