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it would be nice if we could support org.apache.spark.sql.catalyst.expressions.Slice
scala> spark.sql("select slice(split(text,','),1,1) from table").show
24/10/15 07:27:33 WARN GpuOverrides:
!Exec <CollectLimitExec> cannot run on GPU because the Exec CollectLimitExec has been disabled, and is disabled by default because Collect Limit replacement can be slower on the GPU, if huge number of rows in a batch it could help by limiting the number of rows transferred from GPU to CPU. Set spark.rapids.sql.exec.CollectLimitExec to true if you wish to enable it
@Partitioning <SinglePartition$> could run on GPU
!Exec <ProjectExec> cannot run on GPU because not all expressions can be replaced
@Expression <Alias> cast(slice(split(value#142, ,, -1), 1, 1) as string) AS slice(split(text, ,, -1), 1, 1)#157 could run on GPU
@Expression <Cast> cast(slice(split(value#142, ,, -1), 1, 1) as string) could run on GPU
! <Slice> slice(split(value#142, ,, -1), 1, 1) cannot run on GPU because GPU does not currently support the operator class org.apache.spark.sql.catalyst.expressions.Slice
The text was updated successfully, but these errors were encountered:
it would be nice if we could support org.apache.spark.sql.catalyst.expressions.Slice
The text was updated successfully, but these errors were encountered: