Github user sryza commented on a diff in the pull request:
https://github.com/apache/spark/pull/4050#discussion_r22972019
--- Diff: core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala ---
@@ -219,6 +220,9 @@ class HadoopRDD[K, V](
val bytesReadCallback = if
(split.inputSplit.value.isInstanceOf[FileSplit]) {
SparkHadoopUtil.get.getFSBytesReadOnThreadCallback(
split.inputSplit.value.asInstanceOf[FileSplit].getPath, jobConf)
+ } else if (split.inputSplit.value.isInstanceOf[CombineFileSplit]) {
+ SparkHadoopUtil.get.getFSBytesReadOnThreadCallback(
+
split.inputSplit.value.asInstanceOf[CombineFileSplit].getPath(0), jobConf)
--- End diff --
The issue is that those are actually two different classes. There's a
CombineFileSplit for the old MR API (used by HadoopRDD) and a CombineFileSplit
for the new one (used by NewHadoopRDD).
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