[jira] [Resolved] (SPARK-23654) Cut jets3t as a dependency of spark-core

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-23654?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-23654.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 2.4.0

Issue resolved by pull request 22081
[https://github.com/apache/spark/pull/22081]

> Cut jets3t as a dependency of spark-core
> ----------------------------------------
>
>                 Key: SPARK-23654
>                 URL: https://issues.apache.org/jira/browse/SPARK-23654
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 2.4.0
>            Reporter: Steve Loughran
>            Assignee: Steve Loughran
>            Priority: Minor
>             Fix For: 2.4.0
>
>
> Spark core declares a dependency on Jets3t, which pulls in other cruft
> # the hadoop-cloud module pulls in the hadoop-aws module with the jets3t-compatible connectors, and the relevant dependencies: the spark-core dependency is incomplete if that module isn't built, and superflous or inconsistent if it is.
> # We've cut out s3n/s3 and all dependencies on jets3t entirely from hadoop 3.x in favour we're willing to maintain.
> JetS3t was wonderful when it came out, but now the amazon SDKs massively exceed it in functionality, albeit at the expense of week-to-week stability and JAR binary compatibility



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