c21 commented on a change in pull request #32049:
URL: https://github.com/apache/spark/pull/32049#discussion_r606965650
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/parquet/ParquetPartitionReaderFactory.scala
##########
@@ -80,43 +88,135 @@ case class ParquetPartitionReaderFactory(
private val datetimeRebaseModeInRead =
parquetOptions.datetimeRebaseModeInRead
private val int96RebaseModeInRead = parquetOptions.int96RebaseModeInRead
+ private def buildAggSchema: StructType = {
+ var aggSchema = new StructType()
+ for (i <- 0 until aggregation.aggregateExpressions.size) {
+ var index = 0
+ aggregation.aggregateExpressions(i) match {
+ case Max(col, _) =>
+ index = dataSchema.fieldNames.toList.indexOf(col)
+ val field = dataSchema.fields(index)
+ aggSchema = aggSchema.add(field.copy("max(" + field.name + ")"))
+ case Min(col, _) =>
+ index = dataSchema.fieldNames.toList.indexOf(col)
+ val field = dataSchema.fields(index)
+ aggSchema = aggSchema.add(field.copy("min(" + field.name + ")"))
+ case Count(col, _, _) =>
+ if (col.equals("1")) {
+ aggSchema = aggSchema.add(new StructField("count(*)", LongType))
+ } else {
+ aggSchema = aggSchema.add(new StructField("count(" + col + ")",
LongType))
+ }
+ case _ =>
+ }
+ }
+ aggSchema
+ }
+
override def supportColumnarReads(partition: InputPartition): Boolean = {
sqlConf.parquetVectorizedReaderEnabled && sqlConf.wholeStageEnabled &&
resultSchema.length <= sqlConf.wholeStageMaxNumFields &&
resultSchema.forall(_.dataType.isInstanceOf[AtomicType])
}
override def buildReader(file: PartitionedFile):
PartitionReader[InternalRow] = {
- val reader = if (enableVectorizedReader) {
- createVectorizedReader(file)
+ val fileReader = if (aggregation.aggregateExpressions.isEmpty) {
+
+ val reader = if (enableVectorizedReader) {
+ createVectorizedReader(file)
Review comment:
It seems that it's supported to read aggregation result into a
`ColumnarBatch` below in `buildColumnarReader`. So we can still do aggregation
push down with vectorized reader enabled right?
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