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Another round of fixes for mapping of DataType to DType #1078
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Signed-off-by: Robert (Bobby) Evans <[email protected]>
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shims/spark300/src/main/scala/com/nvidia/spark/rapids/shims/spark300/GpuHashJoin.scala
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sql-plugin/src/main/java/com/nvidia/spark/rapids/GpuColumnVector.java
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sql-plugin/src/main/scala/com/nvidia/spark/rapids/nullExpressions.scala
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sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuHashPartitioning.scala
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sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuRoundRobinPartitioning.scala
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Nov 20, 2020
* Another round of fixes for mapping of DataType to DType Signed-off-by: Robert (Bobby) Evans <[email protected]> * More cleanup and fixes * Addressed review comments
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* Another round of fixes for mapping of DataType to DType Signed-off-by: Robert (Bobby) Evans <[email protected]> * More cleanup and fixes * Addressed review comments
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* Another round of fixes for mapping of DataType to DType Signed-off-by: Robert (Bobby) Evans <[email protected]> * More cleanup and fixes * Addressed review comments
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…IDIA#1078) Signed-off-by: spark-rapids automation <[email protected]>
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Getting closer, but there is still a lot more to do.
One thing to note is that for part of this I changed
Gpu{Unary,Binary,Trinary}Expression
to return aColumnVector
instead of aGpuColumnVector
this let me put the conversion in a single location and also fixed some issues with someUnaryExpressions
that couldn't know the right spark type to return because they were going to be cast to the final type shortly afterwards.Actually with the last push this should completely fix the issues with not doing the conversion correctly in all cases.