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authorTathagata Das <tathagata.das1565@gmail.com>2014-01-28 21:51:05 -0800
committerPatrick Wendell <pwendell@gmail.com>2014-01-28 21:51:05 -0800
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Merge pull request #497 from tdas/docs-update
Updated Spark Streaming Programming Guide Here is the updated version of the Spark Streaming Programming Guide. This is still a work in progress, but the major changes are in place. So feedback is most welcome. In general, I have tried to make the guide to easier to understand even if the reader does not know much about Spark. The updated website is hosted here - http://www.eecs.berkeley.edu/~tdas/spark_docs/streaming-programming-guide.html The major changes are: - Overview illustrates the usecases of Spark Streaming - various input sources and various output sources - An example right after overview to quickly give an idea of what Spark Streaming program looks like - Made Java API and examples a first class citizen like Scala by using tabs to show both Scala and Java examples (similar to AMPCamp tutorial's code tabs) - Highlighted the DStream operations updateStateByKey and transform because of their powerful nature - Updated driver node failure recovery text to highlight automatic recovery in Spark standalone mode - Added information about linking and using the external input sources like Kafka and Flume - In general, reorganized the sections to better show the Basic section and the more advanced sections like Tuning and Recovery. Todos: - Links to the docs of external Kafka, Flume, etc - Illustrate window operation with figure as well as example. Author: Tathagata Das <tathagata.das1565@gmail.com> == Merge branch commits == commit 18ff10556570b39d672beeb0a32075215cfcc944 Author: Tathagata Das <tathagata.das1565@gmail.com> Date: Tue Jan 28 21:49:30 2014 -0800 Fixed a lot of broken links. commit 34a5a6008dac2e107624c7ff0db0824ee5bae45f Author: Tathagata Das <tathagata.das1565@gmail.com> Date: Tue Jan 28 18:02:28 2014 -0800 Updated github url to use SPARK_GITHUB_URL variable. commit f338a60ae8069e0a382d2cb170227e5757cc0b7a Author: Tathagata Das <tathagata.das1565@gmail.com> Date: Mon Jan 27 22:42:42 2014 -0800 More updates based on Patrick and Harvey's comments. commit 89a81ff25726bf6d26163e0dd938290a79582c0f Author: Tathagata Das <tathagata.das1565@gmail.com> Date: Mon Jan 27 13:08:34 2014 -0800 Updated docs based on Patricks PR comments. commit d5b6196b532b5746e019b959a79ea0cc013a8fc3 Author: Tathagata Das <tathagata.das1565@gmail.com> Date: Sun Jan 26 20:15:58 2014 -0800 Added spark.streaming.unpersist config and info on StreamingListener interface. commit e3dcb46ab83d7071f611d9b5008ba6bc16c9f951 Author: Tathagata Das <tathagata.das1565@gmail.com> Date: Sun Jan 26 18:41:12 2014 -0800 Fixed docs on StreamingContext.getOrCreate. commit 6c29524639463f11eec721e4d17a9d7159f2944b Author: Tathagata Das <tathagata.das1565@gmail.com> Date: Thu Jan 23 18:49:39 2014 -0800 Added example and figure for window operations, and links to Kafka and Flume API docs. commit f06b964a51bb3b21cde2ff8bdea7d9785f6ce3a9 Author: Tathagata Das <tathagata.das1565@gmail.com> Date: Wed Jan 22 22:49:12 2014 -0800 Fixed missing endhighlight tag in the MLlib guide. commit 036a7d46187ea3f2a0fb8349ef78f10d6c0b43a9 Merge: eab351d a1cd185 Author: Tathagata Das <tathagata.das1565@gmail.com> Date: Wed Jan 22 22:17:42 2014 -0800 Merge remote-tracking branch 'apache/master' into docs-update commit eab351d05c0baef1d4b549e1581310087158d78d Author: Tathagata Das <tathagata.das1565@gmail.com> Date: Wed Jan 22 22:17:15 2014 -0800 Update Spark Streaming Programming Guide.
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@@ -75,7 +75,7 @@ For this version of Spark (0.8.1) Hadoop 2.2.x (or newer) users will have to bui
* [Spark Programming Guide](scala-programming-guide.html): an overview of Spark concepts, and details on the Scala API
* [Java Programming Guide](java-programming-guide.html): using Spark from Java
* [Python Programming Guide](python-programming-guide.html): using Spark from Python
-* [Spark Streaming](streaming-programming-guide.html): using the alpha release of Spark Streaming
+* [Spark Streaming](streaming-programming-guide.html): Spark's API for processing data streams
* [MLlib (Machine Learning)](mllib-guide.html): Spark's built-in machine learning library
* [Bagel (Pregel on Spark)](bagel-programming-guide.html): simple graph processing model
* [GraphX (Graphs on Spark)](graphx-programming-guide.html): Spark's new API for graphs