Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/4770#discussion_r25370059
--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -715,12 +715,8 @@ private[spark] object Utils extends Logging {
/** Get the Yarn approved local directories. */
private def getYarnLocalDirs(conf: SparkConf): String = {
- // Hadoop 0.23 and 2.x have different Environment variable names for
the
- // local dirs, so lets check both. We assume one of the 2 is set.
- // LOCAL_DIRS => 2.X, YARN_LOCAL_DIRS => 0.23.X
- val localDirs = Option(conf.getenv("YARN_LOCAL_DIRS"))
- .getOrElse(Option(conf.getenv("LOCAL_DIRS"))
- .getOrElse(""))
+ //YarnLocalDirs must be inside container directory. Since it will be
automatically deleted when container shut downs.
+ val localDirs = Option(System.getProperty("user.dir")).getOrElse(""))
--- End diff --
> I AFAIK if executor gets lost you can not reuse its data. Correct me if i
am wrong.
Not true if you're using the external shuffle service.
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