[SPARK-11946][SQL] Audit pivot API for 1.6. #9929
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cc @aray |
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@aray do you know why we have a "sort" in here?
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The sort is there to ensure that the output columns are in a consistent logical order.
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ok thanks - i'm going to add a comment there to explain.
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this is done as part of #9603 (comment) but it is way too small to deserve its own pr.
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Test build #46591 has finished for PR 9929 at commit
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Should we use _to_java_column(pivot_col) and _to_seq() here? or df.pivot(df.a) may fail
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Test build #2104 has finished for PR 9929 at commit
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LGTM |
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Thanks - merging this in. |
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Currently pivot's signature looks like ```scala scala.annotation.varargs def pivot(pivotColumn: Column, values: Column*): GroupedData scala.annotation.varargs def pivot(pivotColumn: String, values: Any*): GroupedData ``` I think we can remove the one that takes "Column" types, since callers should always be passing in literals. It'd also be more clear if the values are not varargs, but rather Seq or java.util.List. I also made similar changes for Python. Author: Reynold Xin <[email protected]> Closes #9929 from rxin/SPARK-11946. (cherry picked from commit f315272) Signed-off-by: Reynold Xin <[email protected]>
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Currently pivot's signature looks like
I think we can remove the one that takes "Column" types, since callers should always be passing in literals. It'd also be more clear if the values are not varargs, but rather Seq or java.util.List.
I also made similar changes for Python.