c21 commented on a change in pull request #31413:
URL: https://github.com/apache/spark/pull/31413#discussion_r568900241



##########
File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala
##########
@@ -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:
       @cloud-fan - sorry which part you are suggesting to do in a followup PR? 
Here we anyway need to decide how do we handle when file name is not a valid 
bucket file name (process or not process the file) for pruning. Does I miss 
anything?




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