Github user nongli commented on a diff in the pull request:
https://github.com/apache/spark/pull/12243#discussion_r59044639
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileScanRDD.scala
---
@@ -46,37 +50,80 @@ case class PartitionedFile(
*/
case class FilePartition(index: Int, files: Seq[PartitionedFile]) extends
Partition
+object FileScanRDD {
+ private val ioExecutionContext = ExecutionContext.fromExecutorService(
+ ThreadUtils.newDaemonCachedThreadPool("FileScanRDD", 16))
--- End diff --
It's difficult to model this as the total number of cores because what this
is intended to do is background IO and use very little CPU. The async io will
still use some CPU resources but expected to be very low, a small fraction of a
core.
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