[GitHub] spark issue #18945: [SPARK-21766][SQL] Convert nullable int columns to float...

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[GitHub] spark issue #18945: [SPARK-21766][SQL] Convert nullable int columns to float...

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[GitHub] spark issue #18945: [SPARK-21766][SQL] Convert nullable int columns to float...

2017-09-22 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue:

https://github.com/apache/spark/pull/18945
  
Hey @logannc, let's don't make it complicated for now and go with their 
ways first - https://github.com/apache/spark/pull/18945#discussion_r134033952 
and https://github.com/apache/spark/pull/18945#discussion_r134925269.

Maybe we can make a followup later with some small benchmark results for 
the performance one and precision concern (I guess this one is not a regression 
BTW?). I think we should first match it with when 
`spark.sql.execution.arrow.enable` is enabled.


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[GitHub] spark issue #18945: [SPARK-21766][SQL] Convert nullable int columns to float...

2017-09-21 Thread logannc
Github user logannc commented on the issue:

https://github.com/apache/spark/pull/18945
  
I've continued to use @HyukjinKwon 's suggestion because it should be more 
performant and is capable of handling it without loss of precision. I believe 
I've addressed your concerns by only changing the type when we encounter a null 
(duh).


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