Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/2002#discussion_r16371553
--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -451,10 +451,56 @@ private[spark] object Utils extends Logging {
/**
* Get a temporary directory using Spark's spark.local.dir property, if
set. This will always
* return a single directory, even though the spark.local.dir property
might be a list of
- * multiple paths.
+ * multiple paths. If the SPARK_LOCAL_DIRS environment variable is set,
then this will return
+ * a directory from that variable.
*/
def getLocalDir(conf: SparkConf): String = {
- conf.get("spark.local.dir",
System.getProperty("java.io.tmpdir")).split(',')(0)
+ getOrCreateLocalRootDirs(conf)(0)
+ }
+
+ /**
+ * Gets or creates the directories listed in spark.local.dir or
SPARK_LOCAL_DIRS,
+ * and returns only the directories that exist / could be created.
+ */
+ private[spark] def getOrCreateLocalRootDirs(conf: SparkConf):
Array[String] = {
+ val isYarn = java.lang.Boolean.valueOf(
+ System.getProperty("SPARK_YARN_MODE",
conf.getenv("SPARK_YARN_MODE")))
--- End diff --
I don't think you will be able to use SPARK_YARN_MODE. Atleast not as is.
its used in to high of places like SparkHadoopUtil. I don't think we really
have anything that signifies running in a yarn container since up til now it
was just done in the individual parts.
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