Github user davies commented on the pull request:
https://github.com/apache/spark/pull/2093#issuecomment-53200504
It's supposed that count() will cheaper than collect(), we call count()
instead of collect() to trigger the calculation in Scala/Java, It's better to
keep the same style in Python.
But in PySpark, count() depends on collect(), which will dump the result
into disks and load them into Python. In future, this is maybe changed, count()
will returned a number from JVM.
Right now, no strong reason to change collect() to count(), revert it?
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