[Spark] Support Gluten Vectorized Engine #374
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Signed-off-by: chenxu <chenxu@dmetasoul.com>
Signed-off-by: chenxu <chenxu@dmetasoul.com>
Signed-off-by: chenxu <chenxu@dmetasoul.com>
Signed-off-by: chenxu <chenxu@dmetasoul.com>
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Signed-off-by: chenxu <chenxu@dmetasoul.com>
Signed-off-by: chenxu <chenxu@dmetasoul.com>
Signed-off-by: chenxu <chenxu@dmetasoul.com>
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Close #373
Project Gluten uses Velox to replace Spark's physical plan with native vectorized execution.
LakeSoul's reader is already returning Arrow vectors, which is supported as input for Gluten. However gluten identifies LakeSoul as spark vanillar columnar reader and inserts RowToVeloxColumnarExec(ColumnarToRowExec(BatchScanExec)) and this could be inefficient.
We added a new post columnar rule to remove the above two conversions when gluten plugin detected during runtime.