Github user mallman commented on a diff in the pull request:
https://github.com/apache/spark/pull/15539#discussion_r83987017
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningAwareFileCatalog.scala
---
@@ -276,15 +290,15 @@ object PartitioningAwareFileCatalog extends Logging {
*/
private def listLeafFilesInSerial(
paths: Seq[Path],
- hadoopConf: Configuration): Seq[FileStatus] = {
+ hadoopConf: Configuration): Map[Path, Seq[FileStatus]] = {
// Dummy jobconf to get to the pathFilter defined in configuration
val jobConf = new JobConf(hadoopConf, this.getClass)
val filter = FileInputFormat.getInputPathFilter(jobConf)
- paths.flatMap { path =>
+ paths.map { path =>
val fs = path.getFileSystem(hadoopConf)
- listLeafFiles0(fs, path, filter)
- }
+ (path, listLeafFiles0(fs, path, filter))
+ }.toMap
--- End diff --
Based on how you're using this return value above, it looks like you can
omit this call to `toMap` and just return a sequence of tuples.
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