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https://issues.apache.org/jira/browse/SPARK-7481?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15177918#comment-15177918
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Steve Loughran commented on SPARK-7481:
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Longer term, having spark_home /lib/*.jar is the best, general purpose solution.
For now,
{{hadoop-aws}} can be added to the existing 2.6 profile, explicitly excluding
the full amazon SDK jar. This would give s3n back to the code. Jets3t is still
in the spark-assembly JAR today.
If built with 2.6.x, you'd get s3n and, if you added the full aws-SDK JAR with
--addjars, S3a support
If you built with 2.7.x (e.g {{-Dhadoop=version=2.7.2}}) you'd get, s3n, s3a
and, implicitly, the (much smaller) {{amazon-s3-sdk}} JAR needed to talk with
S3. Users wouldn't need to add the amazon-aws-sdk.jar to the submission (it
would cause link problems if they tried).
..Or, to keep the assembly JAR small, {{amazon-s3-sdk}} could also be excluded.
This would add the ASF classes, but you'd always need to add the right JAR for
the hadoop version you compiled against (Amazon changed a parameter from an int
to a long in a method, see)
> Add Hadoop 2.6+ profile to pull in object store FS accessors
> ------------------------------------------------------------
>
> Key: SPARK-7481
> URL: https://issues.apache.org/jira/browse/SPARK-7481
> Project: Spark
> Issue Type: Improvement
> Components: Build
> Affects Versions: 1.3.1
> Reporter: Steve Loughran
>
> To keep the s3n classpath right, to add s3a, swift & azure, the dependencies
> of spark in a 2.6+ profile need to add the relevant object store packages
> (hadoop-aws, hadoop-openstack, hadoop-azure)
> this adds more stuff to the client bundle, but will mean a single spark
> package can talk to all of the stores.
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