Github user mateiz commented on the pull request:
https://github.com/apache/spark/pull/2274#issuecomment-54564083
Just a nit, it should probably be called
repartitionAndSortWithinPartition*s*.
Also, this name is pretty long. Another one I'd reconsider is
`repartitionWithSort`, but not sure what other people think.
Finally I think it should be a policy to add all these APIs to Python, and
implement them there too. Basically there are two options -- if you're doing
this to support a slightly easier transition from MR jobs, but you don't want
to do it in Python, you could just have it as a document, or an example, or
maybe even a third-party package that takes a Hadoop JobConf and runs it on
Spark. But if you want it in Spark, we need to put it in each language. The
reason is to allow people to easily read code in one supported language and run
it in others -- it's always disappointing when some operators turn out to be
missing in yours.
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