Repository: spark
Updated Branches:
  refs/heads/master ce5cb3258 -> c419e4f1b


[Docs] actorStream storageLevel default is MEMORY_AND_DISK_SER_2

Comment of the storageLevel param of actorStream says that it defaults to 
memory-only while the default is MEMORY_AND_DISK_SER_2.

Author: Mario Pastorelli <[email protected]>

Closes #2319 from melrief/master and squashes the following commits:

7b6ce68 [Mario Pastorelli] [Docs] actorStream storageLevel default is 
MEMORY_AND_DISK_SER_2


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/c419e4f1
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/c419e4f1
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/c419e4f1

Branch: refs/heads/master
Commit: c419e4f1bd2a50c558179b7118c3fe75a94b7a5b
Parents: ce5cb32
Author: Mario Pastorelli <[email protected]>
Authored: Tue Sep 9 00:51:28 2014 -0700
Committer: Reynold Xin <[email protected]>
Committed: Tue Sep 9 00:51:28 2014 -0700

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 .../main/scala/org/apache/spark/streaming/StreamingContext.scala   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/spark/blob/c419e4f1/streaming/src/main/scala/org/apache/spark/streaming/StreamingContext.scala
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diff --git 
a/streaming/src/main/scala/org/apache/spark/streaming/StreamingContext.scala 
b/streaming/src/main/scala/org/apache/spark/streaming/StreamingContext.scala
index 101cec1..457e8ab 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/StreamingContext.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/StreamingContext.scala
@@ -240,7 +240,7 @@ class StreamingContext private[streaming] (
    * Find more details at: 
http://spark.apache.org/docs/latest/streaming-custom-receivers.html
    * @param props Props object defining creation of the actor
    * @param name Name of the actor
-   * @param storageLevel RDD storage level. Defaults to memory-only.
+   * @param storageLevel RDD storage level (default: 
StorageLevel.MEMORY_AND_DISK_SER_2)
    *
    * @note An important point to note:
    *       Since Actor may exist outside the spark framework, It is thus 
user's responsibility


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