huaxingao commented on a change in pull request #32049:
URL: https://github.com/apache/spark/pull/32049#discussion_r641304562
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
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@@ -673,6 +677,25 @@ object DataSourceStrategy
(nonconvertiblePredicates ++ unhandledPredicates, pushedFilters,
handledFilters)
}
+ protected[sql] def translateAggregate(
+ aggregates: AggregateExpression,
+ pushableColumn: PushableColumnBase): Option[Seq[AggregateFunc]] = {
+ aggregates.aggregateFunction match {
+ case [email protected](pushableColumn(name)) =>
Review comment:
Parquet statistics doesn't have the right Max/Min for nested column. For
example, for this
```
+--------------+
| _1|
+--------------+
| {6, [val_6]}|
| {7, [val_7]}|
| {8, [val_8]}|
| {9, [val_9]}|
|{10, [val_10]}|
```
It has Max 10 and Min 6. I don't push down Max/Min for nested columns, only
push down Count for nested. I added a simple test for Count nested column.
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