Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/2087#discussion_r18796643
--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala
---
@@ -121,6 +125,31 @@ class SparkHadoopUtil extends Logging {
UserGroupInformation.loginUserFromKeytab(principalName, keytabFilename)
}
+ /**
+ * Returns a function that can be called to find the number of Hadoop
FileSystem bytes read by
+ * this thread so far. Reflection is required because thread-level
FileSystem statistics are only
+ * available as of Hadoop 2.5 (see HADOOP-10688). Returns None if the
required method can't be
+ * found.
+ */
+ def getInputBytesReadCallback(path: Path, conf: Configuration):
Option[() => Long] = {
+ val qualifiedPath = path.getFileSystem(conf).makeQualified(path)
+ val scheme = qualifiedPath.toUri().getScheme()
+ val stats =
FileSystem.getAllStatistics().filter(_.getScheme().equals(scheme))
--- End diff --
When will a specific FileSystem be present here? Is it definitely the case
that there will exist a fileysystem for the supplied scheme? It looks like this
is based on a static cache within the FileSystem class. Does that get populated
before this is invoked?
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