Fixes suggested by Patrick

1 files changed, 2 insertions, 8 deletions

diff --git a/docs/quick-start.md b/docs/quick-start.md
index bac5d690a6..11d4370a1d 100644
--- a/docs/quick-start.md
+++ b/docs/quick-start.md
@@ -126,7 +126,7 @@ object SimpleJob {
 
 This job simply counts the number of lines containing 'a' and the number containing 'b' in the Spark README. Note that you'll need to replace $YOUR_SPARK_HOME with the location where Spark is installed. Unlike the earlier examples with the Spark shell, which initializes its own SparkContext, we initialize a SparkContext as part of the job. We pass the SparkContext constructor four arguments, the type of scheduler we want to use (in this case, a local scheduler), a name for the job, the directory where Spark is installed, and a name for the jar file containing the job's sources. The final two arguments are needed in a distributed setting, where Spark is running across several nodes, so we include them for completeness. Spark will automatically ship the jar files you list to slave nodes.
 
-This file depends on the Spark API, so we'll also include an sbt configuration file, `simple.sbt` which explains that Spark is a dependency. This file also adds two repositories which host Spark dependencies:
+This file depends on the Spark API, so we'll also include an sbt configuration file, `simple.sbt` which explains that Spark is a dependency. This file also adds a repository that Spark depends on:
 
 {% highlight scala %}
 name := "Simple Project"
@@ -137,9 +137,7 @@ scalaVersion := "{{site.SCALA_VERSION}}"
 
 libraryDependencies += "org.spark-project" %% "spark-core" % "{{site.SPARK_VERSION}}"
 
-resolvers ++= Seq(
-  "Akka Repository" at "http://repo.akka.io/releases/",
-  "Spray Repository" at "http://repo.spray.cc/")
+resolvers += "Akka Repository" at "http://repo.akka.io/releases/"
 {% endhighlight %}
 
 If you also wish to read data from Hadoop's HDFS, you will also need to add a dependency on `hadoop-client` for your version of HDFS:
@@ -211,10 +209,6 @@ To build the job, we also write a Maven `pom.xml` file that lists Spark as a dep
   <version>1.0</version>
   <repositories>
     <repository>
-      <id>Spray.cc repository</id>
-      <url>http://repo.spray.cc</url>
-    </repository>
-    <repository>
       <id>Akka repository</id>
       <url>http://repo.akka.io/releases</url>
     </repository>