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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/04/24 20:04:00 UTC
[jira] [Commented] (SPARK-23654) Cut jets3t as a dependency of
spark-core
[ https://issues.apache.org/jira/browse/SPARK-23654?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16450449#comment-16450449 ]
Apache Spark commented on SPARK-23654:
--------------------------------------
User 'steveloughran' has created a pull request for this issue:
https://github.com/apache/spark/pull/21146
> 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
> Priority: Minor
>
> 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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