Github user kiszk commented on a diff in the pull request:
https://github.com/apache/spark/pull/18441#discussion_r125247939
--- Diff: core/src/main/scala/org/apache/spark/rdd/BinaryFileRDD.scala ---
@@ -35,8 +36,12 @@ private[spark] class BinaryFileRDD[T](
extends NewHadoopRDD[String, T](sc, inputFormatClass, keyClass,
valueClass, conf) {
override def getPartitions: Array[Partition] = {
- val inputFormat = inputFormatClass.newInstance
val conf = getConf
+ // setMinPartitions below will call FileInputFormat.listStatus(),
which can be quite slow when
+ // traversing a large number of directories and files. Parallelize it.
+ conf.setIfUnset(FileInputFormat.LIST_STATUS_NUM_THREADS,
+ Runtime.getRuntime.availableProcessors().toString)
--- End diff --
+1.
This code aggressively tries to use all of the cores on all of the Spark
instances on a node.
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