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@cloud-fan Currently I sent group columns along with the extra data column.
For example, if the original DataFrame has `id, v` and group column is `id`,
the current implementation in this PR
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2108,7 +2108,8 @@ def udf(f=None, returnType=StringType()):
can fail on special rows, the
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@@ -838,6 +839,7 @@ case class Cast(child: Expression,
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Jenkins, retest this please.
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Merged to master and branch-2.3.
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[SPARK-23149][SQL] polish ColumnarBatch
## What changes were proposed in this pull request?
Several cleanups in `ColumnarBatch`
* remove `schema`. The `ColumnVector`s inside
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thanks, merging to master/2.3!
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