Github user staple commented on the pull request:
https://github.com/apache/spark/pull/1592#issuecomment-50577338
Sure, Iâm fine with reworking based on other changes (it seems that some
merge conflicts have already cropped up in master since I submitted my PR last
week). I think my change set is a little simpler than the one you linked to, so
would it make sense for me to wait until that one goes in?
I also thought Iâd add a couple of notes on what I had in mind with this
patch:
1) I added a new Row serialization pathway between python and java, based
on JList[Array[Byte]] versus the existing RDD[Array[Byte]]. I wasnât
overjoyed about doing this, but I noticed that some QueryPlans implement
optimizations in executeCollect(), which outputs an Array[Row] rather than the
typical RDD[Row] that can be shipped to python using the existing serialization
code. To me it made sense to ship the Array[Row] over to python directly
instead of converting it back to an RDD[Row] just for the purpose of sending
the Rows to python using the existing serialization code. But let me know if
you have any thoughts about this.
2) I moved JavaStackTrace from rdd.py to context.py. This made sense to me
since JavaStackTrace is all about configuring a context attribute, and the
_extract_concise_traceback function it depends on was already being called
separately from context.py (as a âprivateâ function of rdd.py).
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