Github user mattf commented on the pull request:
https://github.com/apache/spark/pull/2478#issuecomment-56805152
> RDD._jrdd is very heavy for PipelinedRDD, but getNumPartitions() could be
optimized for PipelinedRDD to avoid the creation of _jrdd (could be
rdd.prev.getNumPartitions()).
very true
> Also, partitions() is one Java Object, it should be an implementation
detail, it's better to keep it as internal interface.
also true. when testing this i noticed the list should essentially be
treated as full of black boxes, but that's difficult to enforce w/o wrapping
the job object in a python version of Partition.
@davies @JoshRosen, what's the purpose of exposing an array of partition
objects in Scala&Java?
> I think len(rdd) has the potential to be confused with rdd.count(), since
calling len() on a Python collection usually returns the size of that
collection.
i agree
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