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From pwend...@apache.org
Subject git commit: Removed reference to incubation in Spark user docs.
Date Fri, 28 Feb 2014 05:15:06 GMT
Repository: spark
Updated Branches:
  refs/heads/branch-0.9 bc5e7d734 -> f2bf44adc


Removed reference to incubation in Spark user docs.

Author: Reynold Xin <rxin@apache.org>

Closes #2 from rxin/docs and squashes the following commits:

08bbd5f [Reynold Xin] Removed reference to incubation in Spark user docs.
(cherry picked from commit 40e080a68a8fd025435e9ff84fa9280b4aba4dcf)

Conflicts:

	docs/_config.yml


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/f2bf44ad
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/f2bf44ad
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/f2bf44ad

Branch: refs/heads/branch-0.9
Commit: f2bf44adc8374c9cf683675db8067743bb48cfa2
Parents: bc5e7d7
Author: Reynold Xin <rxin@apache.org>
Authored: Thu Feb 27 21:13:22 2014 -0800
Committer: Patrick Wendell <pwendell@gmail.com>
Committed: Thu Feb 27 21:14:18 2014 -0800

----------------------------------------------------------------------
 docs/README.md                  |  2 +-
 docs/_config.yml                |  2 +-
 docs/_layouts/global.html       | 10 ----------
 docs/bagel-programming-guide.md |  2 +-
 docs/index.md                   | 12 ++++++------
 docs/java-programming-guide.md  |  2 +-
 docs/scala-programming-guide.md |  2 +-
 docs/spark-debugger.md          |  4 ++--
 8 files changed, 13 insertions(+), 23 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/spark/blob/f2bf44ad/docs/README.md
----------------------------------------------------------------------
diff --git a/docs/README.md b/docs/README.md
index dfcf753..0b7c324 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -1,6 +1,6 @@
 Welcome to the Spark documentation!
 
-This readme will walk you through navigating and building the Spark documentation, which
is included here with the Spark source code. You can also find documentation specific to release
versions of Spark at http://spark.incubator.apache.org/documentation.html.
+This readme will walk you through navigating and building the Spark documentation, which
is included here with the Spark source code. You can also find documentation specific to release
versions of Spark at http://spark.apache.org/documentation.html.
 
 Read on to learn more about viewing documentation in plain text (i.e., markdown) or building
the documentation yourself. Why build it yourself? So that you have the docs that corresponds
to whichever version of Spark you currently have checked out of revision control.
 

http://git-wip-us.apache.org/repos/asf/spark/blob/f2bf44ad/docs/_config.yml
----------------------------------------------------------------------
diff --git a/docs/_config.yml b/docs/_config.yml
index 868fa24..a7f46ff 100644
--- a/docs/_config.yml
+++ b/docs/_config.yml
@@ -9,4 +9,4 @@ SCALA_BINARY_VERSION: "2.10"
 SCALA_VERSION: "2.10.3"
 MESOS_VERSION: 0.13.0
 SPARK_ISSUE_TRACKER_URL: https://spark-project.atlassian.net
-SPARK_GITHUB_URL: https://github.com/apache/incubator-spark
+SPARK_GITHUB_URL: https://github.com/apache/spark

http://git-wip-us.apache.org/repos/asf/spark/blob/f2bf44ad/docs/_layouts/global.html
----------------------------------------------------------------------
diff --git a/docs/_layouts/global.html b/docs/_layouts/global.html
index 3352595..f2c101f 100755
--- a/docs/_layouts/global.html
+++ b/docs/_layouts/global.html
@@ -159,16 +159,6 @@
 
             <hr>-->
 
-            <footer>
-              <hr>
-              <p style="text-align: center; veritcal-align: middle; color: #999;">
-                Apache Spark is an effort undergoing incubation at the Apache Software Foundation.
-                <a href="http://incubator.apache.org">
-                  <img style="margin-left: 20px;" src="img/incubator-logo.png" />
-                </a>
-              </p>
-            </footer>
-
         </div> <!-- /container -->
 
         <script src="js/vendor/jquery-1.8.0.min.js"></script>

http://git-wip-us.apache.org/repos/asf/spark/blob/f2bf44ad/docs/bagel-programming-guide.md
----------------------------------------------------------------------
diff --git a/docs/bagel-programming-guide.md b/docs/bagel-programming-guide.md
index b070d8e..da6d0c9 100644
--- a/docs/bagel-programming-guide.md
+++ b/docs/bagel-programming-guide.md
@@ -108,7 +108,7 @@ _Example_
 
 ## Operations
 
-Here are the actions and types in the Bagel API. See [Bagel.scala](https://github.com/apache/incubator-spark/blob/master/bagel/src/main/scala/org/apache/spark/bagel/Bagel.scala)
for details.
+Here are the actions and types in the Bagel API. See [Bagel.scala](https://github.com/apache/spark/blob/master/bagel/src/main/scala/org/apache/spark/bagel/Bagel.scala)
for details.
 
 ### Actions
 

http://git-wip-us.apache.org/repos/asf/spark/blob/f2bf44ad/docs/index.md
----------------------------------------------------------------------
diff --git a/docs/index.md b/docs/index.md
index aa9c866..4eb297d 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -9,7 +9,7 @@ It also supports a rich set of higher-level tools including [Shark](http://shark
 
 # Downloading
 
-Get Spark by visiting the [downloads page](http://spark.incubator.apache.org/downloads.html)
of the Apache Spark site. This documentation is for Spark version {{site.SPARK_VERSION}}.
+Get Spark by visiting the [downloads page](http://spark.apache.org/downloads.html) of the
Apache Spark site. This documentation is for Spark version {{site.SPARK_VERSION}}.
 
 Spark runs on both Windows and UNIX-like systems (e.g. Linux, Mac OS). All you need to run
it is to have `java` to installed on your system `PATH`, or the `JAVA_HOME` environment variable
pointing to a Java installation.
 
@@ -96,7 +96,7 @@ For this version of Spark (0.8.1) Hadoop 2.2.x (or newer) users will have
to bui
 * [Amazon EC2](ec2-scripts.html): scripts that let you launch a cluster on EC2 in about 5
minutes
 * [Standalone Deploy Mode](spark-standalone.html): launch a standalone cluster quickly without
a third-party cluster manager
 * [Mesos](running-on-mesos.html): deploy a private cluster using
-    [Apache Mesos](http://incubator.apache.org/mesos)
+    [Apache Mesos](http://mesos.apache.org)
 * [YARN](running-on-yarn.html): deploy Spark on top of Hadoop NextGen (YARN)
 
 **Other documents:**
@@ -110,20 +110,20 @@ For this version of Spark (0.8.1) Hadoop 2.2.x (or newer) users will
have to bui
 
 **External resources:**
 
-* [Spark Homepage](http://spark.incubator.apache.org)
+* [Spark Homepage](http://spark.apache.org)
 * [Shark](http://shark.cs.berkeley.edu): Apache Hive over Spark
-* [Mailing Lists](http://spark.incubator.apache.org/mailing-lists.html): ask questions about
Spark here
+* [Mailing Lists](http://spark.apache.org/mailing-lists.html): ask questions about Spark
here
 * [AMP Camps](http://ampcamp.berkeley.edu/): a series of training camps at UC Berkeley that
featured talks and
   exercises about Spark, Shark, Mesos, and more. [Videos](http://ampcamp.berkeley.edu/agenda-2012),
   [slides](http://ampcamp.berkeley.edu/agenda-2012) and [exercises](http://ampcamp.berkeley.edu/exercises-2012)
are
   available online for free.
-* [Code Examples](http://spark.incubator.apache.org/examples.html): more are also available
in the [examples subfolder](https://github.com/apache/incubator-spark/tree/master/examples/src/main/scala/)
of Spark
+* [Code Examples](http://spark.apache.org/examples.html): more are also available in the
[examples subfolder](https://github.com/apache/spark/tree/master/examples/src/main/scala/)
of Spark
 * [Paper Describing Spark](http://www.cs.berkeley.edu/~matei/papers/2012/nsdi_spark.pdf)
 * [Paper Describing Spark Streaming](http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-259.pdf)
 
 # Community
 
-To get help using Spark or keep up with Spark development, sign up for the [user mailing
list](http://spark.incubator.apache.org/mailing-lists.html).
+To get help using Spark or keep up with Spark development, sign up for the [user mailing
list](http://spark.apache.org/mailing-lists.html).
 
 If you're in the San Francisco Bay Area, there's a regular [Spark meetup](http://www.meetup.com/spark-users/)
every few weeks. Come by to meet the developers and other users.
 

http://git-wip-us.apache.org/repos/asf/spark/blob/f2bf44ad/docs/java-programming-guide.md
----------------------------------------------------------------------
diff --git a/docs/java-programming-guide.md b/docs/java-programming-guide.md
index 07732fa..5c73dbb 100644
--- a/docs/java-programming-guide.md
+++ b/docs/java-programming-guide.md
@@ -189,7 +189,7 @@ We hope to generate documentation with Java-style syntax in the future.
 # Where to Go from Here
 
 Spark includes several sample programs using the Java API in
-[`examples/src/main/java`](https://github.com/apache/incubator-spark/tree/master/examples/src/main/java/org/apache/spark/examples).
 You can run them by passing the class name to the
+[`examples/src/main/java`](https://github.com/apache/spark/tree/master/examples/src/main/java/org/apache/spark/examples).
 You can run them by passing the class name to the
 `bin/run-example` script included in Spark; for example:
 
     ./bin/run-example org.apache.spark.examples.JavaWordCount

http://git-wip-us.apache.org/repos/asf/spark/blob/f2bf44ad/docs/scala-programming-guide.md
----------------------------------------------------------------------
diff --git a/docs/scala-programming-guide.md b/docs/scala-programming-guide.md
index 506d3fa..9941273 100644
--- a/docs/scala-programming-guide.md
+++ b/docs/scala-programming-guide.md
@@ -365,7 +365,7 @@ res2: Int = 10
 
 # Where to Go from Here
 
-You can see some [example Spark programs](http://spark.incubator.apache.org/examples.html)
on the Spark website.
+You can see some [example Spark programs](http://spark.apache.org/examples.html) on the Spark
website.
 In addition, Spark includes several samples in `examples/src/main/scala`. Some of them have
both Spark versions and local (non-parallel) versions, allowing you to see what had to be
changed to make the program run on a cluster. You can run them using by passing the class
name to the `bin/run-example` script included in Spark; for example:
 
     ./bin/run-example org.apache.spark.examples.SparkPi

http://git-wip-us.apache.org/repos/asf/spark/blob/f2bf44ad/docs/spark-debugger.md
----------------------------------------------------------------------
diff --git a/docs/spark-debugger.md b/docs/spark-debugger.md
index 11c51d5..891c2bf 100644
--- a/docs/spark-debugger.md
+++ b/docs/spark-debugger.md
@@ -2,7 +2,7 @@
 layout: global
 title: The Spark Debugger
 ---
-**Summary:** The Spark debugger provides replay debugging for deterministic (logic) errors
in Spark programs. It's currently in development, but you can try it out in the [arthur branch](https://github.com/apache/incubator-spark/tree/arthur).
+**Summary:** The Spark debugger provides replay debugging for deterministic (logic) errors
in Spark programs. It's currently in development, but you can try it out in the [arthur branch](https://github.com/apache/spark/tree/arthur).
 
 ## Introduction
 
@@ -19,7 +19,7 @@ For deterministic errors, debugging a Spark program is now as easy as debugging
 
 ## Approach
 
-As your Spark program runs, the slaves report key events back to the master -- for example,
RDD creations, RDD contents, and uncaught exceptions. (A full list of event types is in [EventLogging.scala](https://github.com/apache/incubator-spark/blob/arthur/core/src/main/scala/spark/EventLogging.scala).)
The master logs those events, and you can load the event log into the debugger after your
program is done running.
+As your Spark program runs, the slaves report key events back to the master -- for example,
RDD creations, RDD contents, and uncaught exceptions. (A full list of event types is in [EventLogging.scala](https://github.com/apache/spark/blob/arthur/core/src/main/scala/spark/EventLogging.scala).)
The master logs those events, and you can load the event log into the debugger after your
program is done running.
 
 _A note on nondeterminism:_ For fault recovery, Spark requires RDD transformations (for example,
the function passed to `RDD.map`) to be deterministic. The Spark debugger also relies on this
property, and it can also warn you if your transformation is nondeterministic. This works
by checksumming the contents of each RDD and comparing the checksums from the original execution
to the checksums after recomputing the RDD in the debugger.
 


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