yabola commented on code in PR #40495:
URL: https://github.com/apache/spark/pull/40495#discussion_r1142841503
##########
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/parquet/ParquetPartitionReaderFactory.scala:
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@@ -92,8 +93,13 @@ case class ParquetPartitionReaderFactory(
if (aggregation.isEmpty) {
ParquetFooterReader.readFooter(conf, filePath, SKIP_ROW_GROUPS)
} else {
+ val split = new FileSplit(file.toPath, file.start, file.length,
Array.empty[String])
// For aggregate push down, we will get max/min/count from footer
statistics.
- ParquetFooterReader.readFooter(conf, filePath, NO_FILTER)
Review Comment:
@huaxingao Hi~when reviewing the code, I have a point of doubt, why not take
the RowGroup metrics information in the current file range here?
Here is a example in `SpecificParquetRecordReaderBase`
https://github.com/apache/spark/blob/61035129a354d0b31c66908106238b12b1f2f7b0/sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java#L96-L102
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