HyukjinKwon commented on a change in pull request #27031: [SPARK-30373][SQL]
Avoid unnecessary sort for ParquetUtils.splitFiles
URL: https://github.com/apache/spark/pull/27031#discussion_r361915141
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetUtils.scala
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@@ -112,15 +114,26 @@ object ParquetUtils {
metadata: Seq[FileStatus],
commonMetadata: Seq[FileStatus])
- private def splitFiles(allFiles: Seq[FileStatus]): FileTypes = {
- val leaves = allFiles.toArray.sortBy(_.getPath.toString)
Review comment:
It was actually @liancheng's advice (wow 5 years ago). Sorting it will gives
you a deterministic result. Relying on the native listing order doesn't look a
great idea. From a cursory look, HDFS's vs Java's `File.list` (by
`RawLocalFileSystem`) behaviours look inconsistent as an example.
In addition, sorting itself won't cause a lot of performance penalty given
most of performance penalty comes from listing up files, and given that the
number of files should be, really, really high which isn't a pretty common case.
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