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authorJosh Rosen <joshrosen@databricks.com>2015-11-10 10:14:19 -0800
committerMichael Armbrust <michael@databricks.com>2015-11-10 10:14:19 -0800
commit689386b1c60997e4505749915f7005a52c207de2 (patch)
treef3d1184de25b306519883fc8c00fb08948a3939c /network
parenta81f47ff7498e7063c855ccf75bba81ab101b43e (diff)
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[SPARK-7841][BUILD] Stop using retrieveManaged to retrieve dependencies in SBT
This patch modifies Spark's SBT build so that it no longer uses `retrieveManaged` / `lib_managed` to store its dependencies. The motivations for this change are nicely described on the JIRA ticket ([SPARK-7841](https://issues.apache.org/jira/browse/SPARK-7841)); my personal interest in doing this stems from the fact that `lib_managed` has caused me some pain while debugging dependency issues in another PR of mine. Removing our use of `lib_managed` would be trivial except for one snag: the Datanucleus JARs, required by Spark SQL's Hive integration, cannot be included in assembly JARs due to problems with merging OSGI `plugin.xml` files. As a result, several places in the packaging and deployment pipeline assume that these Datanucleus JARs are copied to `lib_managed/jars`. In the interest of maintaining compatibility, I have chosen to retain the `lib_managed/jars` directory _only_ for these Datanucleus JARs and have added custom code to `SparkBuild.scala` to automatically copy those JARs to that folder as part of the `assembly` task. `dev/mima` also depended on `lib_managed` in a hacky way in order to set classpaths when generating MiMa excludes; I've updated this to obtain the classpaths directly from SBT instead. /cc dragos marmbrus pwendell srowen Author: Josh Rosen <joshrosen@databricks.com> Closes #9575 from JoshRosen/SPARK-7841.
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