Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/126#discussion_r10552599
--- Diff: core/src/main/scala/org/apache/spark/MapOutputTracker.scala ---
@@ -181,15 +178,50 @@ private[spark] class MapOutputTracker(conf:
SparkConf) extends Logging {
}
}
+/**
+ * MapOutputTracker for the workers. This uses BoundedHashMap to keep
track of
+ * a limited number of most recently used map output information.
+ */
+private[spark] class MapOutputTrackerWorker(conf: SparkConf) extends
MapOutputTracker(conf) {
+
+ /**
+ * Bounded HashMap for storing serialized statuses in the worker. This
allows
+ * the HashMap stay bounded in memory-usage. Things dropped from this
HashMap will be
+ * automatically repopulated by fetching them again from the driver. Its
okay to
+ * keep the cache size small as it unlikely that there will be a very
large number of
+ * stages active simultaneously in the worker.
+ */
+ protected val mapStatuses = new BoundedHashMap[Int, Array[MapStatus]](
--- End diff --
I'm saying that once the shuffle dependency gets GC'd then we should remove
the associated stages. At that point the stage is no longer accessible.
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