Github user mateiz commented on a diff in the pull request:
https://github.com/apache/spark/pull/1460#discussion_r15208037
--- Diff: core/src/main/scala/org/apache/spark/api/python/PythonRDD.scala
---
@@ -57,7 +57,9 @@ private[spark] class PythonRDD[T: ClassTag](
override def compute(split: Partition, context: TaskContext):
Iterator[Array[Byte]] = {
val startTime = System.currentTimeMillis
val env = SparkEnv.get
- val worker: Socket = env.createPythonWorker(pythonExec, envVars.toMap)
+ val localdir = env.conf.get("spark.local.dir",
System.getProperty("java.io.tmpdir"))
+ val worker: Socket = env.createPythonWorker(pythonExec,
+ envVars.toMap + ("SPARK_LOCAL_DIR" -> localdir))
--- End diff --
Instead of passing spark.local.dir, we should figure out which directories
the DiskBlockManager created (you can get it from `env.blockManager`) and pass
a comma-separated list of those. This way the data for this Spark application
is all in one directory, and Java can make sure we clean it all up at the end.
Otherwise the way you have things set up now, those directories are never
cleared if the Python worker crashes.
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