Repository: spark Updated Branches: refs/heads/branch-2.0 73014a2aa -> 27ed6d5dc
[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 <shixi...@databricks.com> Closes #14814 from zsxwing/dstream-link. (cherry picked from commit 341e0e778dff8c404b47d34ee7661b658bb91880) Signed-off-by: Reynold Xin <r...@databricks.com> Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/27ed6d5d Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/27ed6d5d Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/27ed6d5d Branch: refs/heads/branch-2.0 Commit: 27ed6d5dcd521b4ff1ebe777b03a03ba103d6e76 Parents: 73014a2 Author: Shixiong Zhu <shixi...@databricks.com> Authored: Thu Aug 25 21:08:42 2016 -0700 Committer: Reynold Xin <r...@databricks.com> Committed: Thu Aug 25 21:08:48 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/27ed6d5d/docs/streaming-programming-guide.md ---------------------------------------------------------------------- diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md index 14e1744..b92ca92 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 --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org
