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From r...@apache.org
Subject spark git commit: [SPARK-17242][DOCUMENT] Update links of external dstream projects
Date Fri, 26 Aug 2016 04:08:45 GMT
Repository: spark
Updated Branches:
  refs/heads/master b964a172a -> 341e0e778


[SPARK-17242][DOCUMENT] Update links of external dstream projects

## What changes were proposed in this pull request?

Updated links of external dstream projects.

## How was this patch tested?

Just document changes.

Author: Shixiong Zhu <shixiong@databricks.com>

Closes #14814 from zsxwing/dstream-link.


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/341e0e77
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/341e0e77
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/341e0e77

Branch: refs/heads/master
Commit: 341e0e778dff8c404b47d34ee7661b658bb91880
Parents: b964a17
Author: Shixiong Zhu <shixiong@databricks.com>
Authored: Thu Aug 25 21:08:42 2016 -0700
Committer: Reynold Xin <rxin@databricks.com>
Committed: Thu Aug 25 21:08:42 2016 -0700

----------------------------------------------------------------------
 docs/streaming-programming-guide.md | 8 ++------
 1 file changed, 2 insertions(+), 6 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/spark/blob/341e0e77/docs/streaming-programming-guide.md
----------------------------------------------------------------------
diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md
index df94e95..82d3647 100644
--- a/docs/streaming-programming-guide.md
+++ b/docs/streaming-programming-guide.md
@@ -656,7 +656,7 @@ methods for creating DStreams from files as input sources.
 	<span class="badge" style="background-color: grey">Python API</span> `fileStream`
is not available in the Python API, only	`textFileStream` is	available.
 
 - **Streams based on Custom Receivers:** DStreams can be created with data streams received
through custom receivers. See the [Custom Receiver
-  Guide](streaming-custom-receivers.html) and [DStream Akka](https://github.com/spark-packages/dstream-akka)
for more details.
+  Guide](streaming-custom-receivers.html) for more details.
 
 - **Queue of RDDs as a Stream:** For testing a Spark Streaming application with test data,
one can also create a DStream based on a queue of RDDs, using `streamingContext.queueStream(queueOfRDDs)`.
Each RDD pushed into the queue will be treated as a batch of data in the DStream, and processed
like a stream.
 
@@ -2383,11 +2383,7 @@ additional effort may be necessary to achieve exactly-once semantics.
There are
     - [Kafka Integration Guide](streaming-kafka-integration.html)
     - [Kinesis Integration Guide](streaming-kinesis-integration.html)
     - [Custom Receiver Guide](streaming-custom-receivers.html)
-* External DStream data sources:
-    - [DStream MQTT](https://github.com/spark-packages/dstream-mqtt)
-    - [DStream Twitter](https://github.com/spark-packages/dstream-twitter)
-    - [DStream Akka](https://github.com/spark-packages/dstream-akka)
-    - [DStream ZeroMQ](https://github.com/spark-packages/dstream-zeromq)
+* Third-party DStream data sources can be found in [Spark Packages](https://spark-packages.org/)
 * API documentation
   - Scala docs
     * [StreamingContext](api/scala/index.html#org.apache.spark.streaming.StreamingContext)
and


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