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https://issues.apache.org/jira/browse/HADOOP-16085?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16849565#comment-16849565
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Steve Loughran commented on HADOOP-16085:
-----------------------------------------
just noticed this adds a runtime dependency on httpcore just to get the HTTP
status code. Going to add a new JIRA for that as there's no value in amplifying
dependency pain. As its also tagged as provided, and not in the
hadoop-object-stores pom, anything which pulls the hadoop-object stores in
(Spark, druid, Tez) isn't going to be able to work with S3 unless they discover
they need to add this feature.
Right now the fact that all we need is hadoop-common & some transients, and aws
shaded SDK, keeps dependency pain down, though even there we want to shade
stuff in hadoop-object-store as things like guava still cause needless
suffering. If we can avoid making this worse, we should
> 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
> Fix For: 3.3.0
>
> 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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