[GitHub] HyukjinKwon commented on issue #23657: [SPARK-26566][PYTHON][SQL] Upgrade Apache Arrow to version 0.12.0

2019-01-28 Thread GitBox
HyukjinKwon commented on issue #23657: [SPARK-26566][PYTHON][SQL] Upgrade 
Apache Arrow to version 0.12.0
URL: https://github.com/apache/spark/pull/23657#issuecomment-458420509
 
 
   Merged to master.
   
   I need to test SPARK-26759 against arrow upgrade as well.


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[GitHub] HyukjinKwon commented on issue #23657: [SPARK-26566][PYTHON][SQL] Upgrade Apache Arrow to version 0.12.0

2019-01-28 Thread GitBox
HyukjinKwon commented on issue #23657: [SPARK-26566][PYTHON][SQL] Upgrade 
Apache Arrow to version 0.12.0
URL: https://github.com/apache/spark/pull/23657#issuecomment-458372652
 
 
   retest this please


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[GitHub] HyukjinKwon commented on issue #23657: [SPARK-26566][PYTHON][SQL] Upgrade Apache Arrow to version 0.12.0

2019-01-27 Thread GitBox
HyukjinKwon commented on issue #23657: [SPARK-26566][PYTHON][SQL] Upgrade 
Apache Arrow to version 0.12.0
URL: https://github.com/apache/spark/pull/23657#issuecomment-458019236
 
 
   For PyArrow 0.12.0, I don't think so but it will run with Arrow 0.12.0 + 
PyArrow 0.8.0 combination. I needs to manual upgrade. Currently, IIRC, the 
version is 0.8.0 to test minimise versions.
   
   I was thinking about bumping up the minimal PyArrow version at Spark 3.0 so 
that we can reduce such if-else branches, and reduce such overhead.


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