Fix more URLs in docs

7 files changed, 28 insertions, 14 deletions

diff --git a/docs/bagel-programming-guide.md b/docs/bagel-programming-guide.md
index 20b1e9b26d..f95627865a 100644
--- a/docs/bagel-programming-guide.md
+++ b/docs/bagel-programming-guide.md
@@ -107,7 +107,7 @@ _Example_
 
 ### Operations
 
-Here are the actions and types in the Bagel API. See [Bagel.scala](https://github.com/mesos/spark/blob/master/bagel/src/main/scala/spark/bagel/Bagel.scala) for details.
+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/spark/bagel/Bagel.scala) for details.
 
 #### Actions
 
@@ -158,4 +158,8 @@ trait Message[K] {
 
 ## Where to Go from Here
 
-Two example jobs, PageRank and shortest path, are included in `examples/src/main/scala/org/apache/spark/examples/bagel`. You can run them by passing the class name to the `run-example` script included in Spark -- for example, `./run-example org.apache.spark.examples.bagel.WikipediaPageRank`. Each example program prints usage help when run without any arguments.
+Two example jobs, PageRank and shortest path, are included in `examples/src/main/scala/org/apache/spark/examples/bagel`. You can run them by passing the class name to the `run-example` script included in Spark; e.g.:
+
+    ./run-example org.apache.spark.examples.bagel.WikipediaPageRank`
+
+Each example program prints usage help when run without any arguments.
diff --git a/docs/index.md b/docs/index.md
index 35a597d7bb..3cf9cc1c64 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -95,7 +95,7 @@ In addition, if you wish to run Spark on [YARN](running-on-yarn.md), set
   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/mesos/spark/tree/master/examples/src/main/scala/) of Spark
+* [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
 * [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)
 
diff --git a/docs/java-programming-guide.md b/docs/java-programming-guide.md
index 48bf36631a..53085cc671 100644
--- a/docs/java-programming-guide.md
+++ b/docs/java-programming-guide.md
@@ -189,7 +189,10 @@ 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/mesos/spark/tree/master/examples/src/main/java/org/apache/spark/examples).  You can run them by passing the class name to the
-`run-example` script included in Spark -- for example, `./run-example
-org.apache.spark.examples.JavaWordCount`.  Each example program prints usage help when run
+[`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
+`run-example` script included in Spark; for example:
+
+    ./run-example org.apache.spark.examples.JavaWordCount
+
+Each example program prints usage help when run
 without any arguments.
diff --git a/docs/python-programming-guide.md b/docs/python-programming-guide.md
index 27e0d10080..8a539fe774 100644
--- a/docs/python-programming-guide.md
+++ b/docs/python-programming-guide.md
@@ -135,8 +135,11 @@ Code dependencies can be added to an existing SparkContext using its `addPyFile(
 
 # Where to Go from Here
 
-PySpark includes several sample programs in the [`python/examples` folder](https://github.com/mesos/spark/tree/master/python/examples).
-You can run them by passing the files to the `pyspark` script -- for example `./pyspark python/examples/wordcount.py`.
+PySpark includes several sample programs in the [`python/examples` folder](https://github.com/apache/incubator-spark/tree/master/python/examples).
+You can run them by passing the files to the `pyspark` script; e.g.:
+
+    ./pyspark python/examples/wordcount.py
+
 Each program prints usage help when run without arguments.
 
 We currently provide [API documentation](api/pyspark/index.html) for the Python API as Epydoc.
diff --git a/docs/scala-programming-guide.md b/docs/scala-programming-guide.md
index 5aa2b64d33..2cf319a263 100644
--- a/docs/scala-programming-guide.md
+++ b/docs/scala-programming-guide.md
@@ -364,7 +364,11 @@ res2: Int = 10
 # Where to Go from Here
 
 You can see some [example Spark programs](http://www.spark-project.org/examples.html) on the Spark website.
-In addition, Spark includes several sample programs 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 `run-example` script included in Spark -- for example, `./run-example org.apache.spark.examples.SparkPi`. Each example program prints usage help when run without any arguments.
+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 `run-example` script included in Spark; for example:
+
+    ./run-example org.apache.spark.examples.SparkPi
+
+Each example program prints usage help when run without any arguments.
 
 For help on optimizing your program, the [configuration](configuration.html) and
 [tuning](tuning.html) guides provide information on best practices. They are especially important for
diff --git a/docs/spark-debugger.md b/docs/spark-debugger.md
index f6f0988858..d6315d97f4 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/mesos/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/incubator-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/mesos/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/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.
 
 _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.
 
diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md
index e59d93df4b..bc2f4f884f 100644
--- a/docs/streaming-programming-guide.md
+++ b/docs/streaming-programming-guide.md
@@ -203,7 +203,7 @@ ssc.stop()
 {% endhighlight %}
 
 # Example
-A simple example to start off is the [NetworkWordCount](https://github.com/mesos/spark/tree/master/examples/src/main/scala/spark/streaming/examples/NetworkWordCount.scala). This example counts the words received from a network server every second. Given below is the relevant sections of the source code. You can find the full source code in `<Spark repo>/streaming/src/main/scala/spark/streaming/examples/NetworkWordCount.scala` .
+A simple example to start off is the [NetworkWordCount](https://github.com/apache/incubator-spark/tree/master/examples/src/main/scala/spark/streaming/examples/NetworkWordCount.scala). This example counts the words received from a network server every second. Given below is the relevant sections of the source code. You can find the full source code in `<Spark repo>/streaming/src/main/scala/spark/streaming/examples/NetworkWordCount.scala` .
 
 {% highlight scala %}
 import org.apache.spark.streaming.{Seconds, StreamingContext}
@@ -513,8 +513,8 @@ JavaPairDStream<String, Integer> wordCounts = words.map(
 {% endhighlight %}
 
 
-
 # Where to Go from Here
+
 * API docs - [Scala](api/streaming/index.html#org.apache.spark.streaming.package) and [Java](api/streaming/index.html#org.apache.spark.streaming.api.java.package)
-* More examples - [Scala](https://github.com/mesos/spark/tree/master/examples/src/main/scala/spark/streaming/examples) and [Java](https://github.com/mesos/spark/tree/master/examples/src/main/java/spark/streaming/examples)
+* More examples - [Scala](https://github.com/apache/incubator-spark/tree/master/examples/src/main/scala/spark/streaming/examples) and [Java](https://github.com/apache/incubator-spark/tree/master/examples/src/main/java/spark/streaming/examples)
 * [Paper describing Spark Streaming](http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-259.pdf)