Github user sryza commented on a diff in the pull request:
https://github.com/apache/spark/pull/962#discussion_r14314923
--- Diff: core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala ---
@@ -196,6 +197,17 @@ class HadoopRDD[K, V](
context.addOnCompleteCallback{ () => closeIfNeeded() }
val key: K = reader.createKey()
val value: V = reader.createValue()
+
+ // Set the task input metrics.
+ val inputMetrics = new InputMetrics(DataReadMethod.Hadoop)
+ try {
+ inputMetrics.bytesRead = split.inputSplit.value.getLength()
--- End diff --
This won't be the exact size of the data read. As split boundaries aren't
always at record boundaries, tasks may need to read into other splits to
complete a record. Not a big deal in most cases, but might be worth a comment
or note in the documentation.
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