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https://issues.apache.org/jira/browse/SPARK-23807?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Marcelo Vanzin resolved SPARK-23807.
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Resolution: Fixed
Fix Version/s: 2.4.0
Issue resolved by pull request 20923
[https://github.com/apache/spark/pull/20923]
> Add Hadoop 3 profile with relevant POM fix ups
> ----------------------------------------------
>
> Key: SPARK-23807
> URL: https://issues.apache.org/jira/browse/SPARK-23807
> Project: Spark
> Issue Type: Sub-task
> Components: Build
> Affects Versions: 2.4.0
> Reporter: Steve Loughran
> Assignee: Steve Loughran
> Priority: Major
> Fix For: 2.4.0
>
>
> Hadoop 3, and particular Hadoop 3.1 adds:
> * Java 8 as the minimum (and currently sole) supported Java version
> * A new "hadoop-cloud-storage" module intended to be a minimal dependency
> POM for all the cloud connectors in the version of hadoop built against
> * The ability to declare a committer for any FileOutputFormat which
> supercedes the classic FileOutputCommitter -in both a job and for a specific
> FS URI
> * A shaded client JAR, though not yet one complete enough for spark.
> * Lots of other features and fixes.
> The basic work of building spark with hadoop 3 is one of just doing the build
> with {{-Dhadoop.version=3.x.y}}; however that
> * Doesn't build on SBT (dependency resolution of zookeeper JAR)
> * Misses the new cloud features
> The ZK dependency can be fixed everywhere by explicitly declaring the ZK
> artifact, instead of relying on curator to pull it in; this needs a profile
> to declare the right ZK version, obviously..
> To use the cloud features spark the hadoop-3 profile should declare that the
> spark-hadoop-cloud module depends on —and only on— the
> hadoop/hadoop-cloud-storage module for its transitive dependencies on cloud
> storage, and a source package which is only built and tested when build
> against Hadoop 3.1+
>
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