Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/3238#issuecomment-63086439
Sorry, I must be mixing this up with Ganglia. I'm 0 for 2 recently.
Well I found this comment in `compute-classpath.sh`:
```
# When Hive support is needed, Datanucleus jars must be included on the
classpath.
# Datanucleus jars do not work if only included in the uber jar as
plugin.xml metadata is lost.
# Both sbt and maven will populate "lib_managed/jars/" with the datanucleus
jars when Spark is
# built with Hive, so first check if the datanucleus jars exist, and then
ensure the current Spark
# assembly is built for Hive, before actually populating the CLASSPATH with
the jars.
# Note that this check order is faster (by up to half a second) in the case
where Hive is not used.
```
Hm, I wonder if the underlying issue can be solved with the assembly plugin
if it's just a question of preserving some `plugin.xml` file? I don't know the
issue.
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