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Posted to reviews@spark.apache.org by HyukjinKwon <gi...@git.apache.org> on 2018/06/06 07:48:26 UTC
[GitHub] spark pull request #21082: [SPARK-22239][SQL][Python] Enable grouped aggrega...
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/21082#discussion_r193320743
--- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/PythonUDF.scala ---
@@ -34,7 +34,12 @@ object PythonUDF {
e.isInstanceOf[PythonUDF] && SCALAR_TYPES.contains(e.asInstanceOf[PythonUDF].evalType)
}
- def isGroupAggPandasUDF(e: Expression): Boolean = {
+ def isGroupedAggPandasUDF(e: Expression): Boolean = {
+ e.isInstanceOf[PythonUDF] &&
+ e.asInstanceOf[PythonUDF].evalType == PythonEvalType.SQL_GROUPED_AGG_PANDAS_UDF
+ }
+
+ def isWindowPandasUDF(e: Expression): Boolean = {
--- End diff --
@icexelloss, can we maybe do:
```
def isWindowPandasUDF(e: Expression): = isGroupedAggPandasUDF(e)
```
and explain why they can be same ..
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