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Posted to common-issues@hadoop.apache.org by "Sean Busbey (JIRA)" <ji...@apache.org> on 2019/01/29 18:50:00 UTC

[jira] [Commented] (HADOOP-15387) Produce a shaded hadoop-cloud-storage JAR for applications to use

    [ https://issues.apache.org/jira/browse/HADOOP-15387?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16755284#comment-16755284 ] 

Sean Busbey commented on HADOOP-15387:
--------------------------------------

[~stevel@apache.org] can you help me on understanding scope here a bit?

I think what the description says is we end up with a single jar where all classes are in {{org.apache.hadoop}} or {{software.amazon.awssdk}} and we rely on shading to relocate any others (modulo the normal caveats on logging / tracing libraries that came up during the hadoop-client modules).

Does it need to be all of the Amazon AWS SDK? Is there some interface jar that we could use while allowing BYO-SDK? Or for that matter could we just update the various cloud storage modules to individually relocate things that aren't either hadoop-client-facing or their respective service's SDK?

> Produce a shaded hadoop-cloud-storage JAR for applications to use
> -----------------------------------------------------------------
>
>                 Key: HADOOP-15387
>                 URL: https://issues.apache.org/jira/browse/HADOOP-15387
>             Project: Hadoop Common
>          Issue Type: New Feature
>          Components: fs/adl, fs/azure, fs/oss, fs/s3, fs/swift
>    Affects Versions: 3.1.0
>            Reporter: Steve Loughran
>            Priority: Major
>
> Produce a maven-shaded hadoop-cloudstorage JAR for dowstream use so that
>  * Hadoop dependency choices don't control their decisions
>  * Little/No risk of their JAR changes breaking Hadoop bits they depend on
> This JAR would pull in the shaded hadoop-client JAR, and the aws-sdk-bundle JAR, neither of which would be unshaded (so yes, upgrading aws-sdks would be a bit risky, but double shading a pre-shaded 30MB JAR is excessive on multiple levels.
> Metrics of success: Spark, Tez, Flink etc can pick up and use, and all are happy



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