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[GitHub] spark issue #22275: [SPARK-25274][PYTHON][SQL] In toPandas with Arrow send o...

2018-10-30 Thread BryanCutler
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Apologies for the delay in circling back to this. I reorganized a little to 
simplify and expanded the comments to hopefully better describe the code.

A quick summary of the changes: I changed the ArrowStreamSerializer to not 
have any state  - that seemed to complicate things. So instead of saving the 
batch order indices, they are loaded on the last iteration of `load_stream`, 
and this was put in a special serializer `ArrowCollectSerializer` so that it is 
clear where it is used.  I also consolidated all the batch ordering calls 
within `_collectAsArrow` so it is easier to follow the whole process.


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2018-10-29 Thread HyukjinKwon
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retest this please


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2018-10-05 Thread BryanCutler
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Thanks for the review @holdenk !  I haven't had time to followup, but I'll 
take a look through this and see what I can do about making things clearer.


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2018-09-21 Thread felixcheung
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got it. so the size of the each batch could grow. 


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2018-09-20 Thread BryanCutler
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> generally, is this going to limit how much data to pass along because of 
the bit length of the index?

So the index passed to python is the RecordBatch index, not an element 
index, and it would limit the number of batches to Int.MAX. I wouldn't expect 
that would be likely and you can always set the number of batches to 1 per 
partition, so that would be the limiting factor then. WDYT @felixcheung ?


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2018-09-19 Thread holdenk
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Sure, I'll take a look on Friday if it's not urgent


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2018-09-19 Thread BryanCutler
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@holdenk I was wondering if you had any thoughts on this? Thanks!


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2018-08-30 Thread BryanCutler
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Thanks @viirya !  What are your thoughts @HyukjinKwon ? I consolidated the 
batch order serializer from before into the ArrowStreamSerializer to simplify a 
little.


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