sunchao commented on a change in pull request #31413:
URL: https://github.com/apache/spark/pull/31413#discussion_r568353916
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala
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@@ -591,20 +590,48 @@ case class FileSourceScanExec(
logInfo(s"Planning scan with bin packing, max size: $maxSplitBytes bytes,
" +
s"open cost is considered as scanning $openCostInBytes bytes.")
+ // Filter files with bucket pruning if possible
+ lazy val ignoreCorruptFiles =
fsRelation.sparkSession.sessionState.conf.ignoreCorruptFiles
+ val canPrune: Path => Boolean = optionalBucketSet match {
+ case Some(bucketSet) =>
+ filePath => {
+ BucketingUtils.getBucketId(filePath.getName) match {
+ case Some(id) => bucketSet.get(id)
+ case None =>
+ if (ignoreCorruptFiles) {
+ // If ignoring corrupt file, do not prune when bucket file
name is invalid
Review comment:
Cool thanks for pointing to the discussion. I'm just not sure whether
the corrupted file should be ignored or processed if the flag is turned on.
`ignoreCorruptedFiles` seems to indicate that the problematic file should be
ignored so it is a bit confusing that we still process it here. Also IMO
ignoring it seems to be slightly safer (thinking someone dump garbage files
into the bucketed partition dir)?
cc @maropu @viirya
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