Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/4142#issuecomment-71055700
Hi @redbaron ,
> IMHO Spark should mimic what Hadoop MR is doing, which is building a
Configuration object and then serializing into xml
That has the limitation of not loading config data from files that the
Configuration object you chose do not load. For example, if you're going to run
a job that uses a HiveContext, you might want to also use hive-site.xml, as
yourself mentioned in your comment. My patch covers that, since if you point
`HADOOP_CONF_DIR` at a Hive config directory, it will ship that file and all
should work.
> Copying files verbatim from the directory leads to not being able to
override hadoop config params via "-D=" switch
If you're talking about the `-D` switch for the JVM, then that's already
covered. `--driver-java-options` is reflected in the AM when running in cluster
mode. There's a similar option for client mode, in case you also need that for
the client-mode AM.
Feels to me like my approach covers your concerns.
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