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From: pwendell@apache.org
To: commits@spark.incubator.apache.org
Date: Tue, 10 Sep 2013 19:40:42 -0000
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Subject: [28/50] git commit: Fix some review comments
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Fix some review comments


Project: http://git-wip-us.apache.org/repos/asf/incubator-spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-spark/commit/b4588549
Tree: http://git-wip-us.apache.org/repos/asf/incubator-spark/tree/b4588549
Diff: http://git-wip-us.apache.org/repos/asf/incubator-spark/diff/b4588549

Branch: refs/heads/branch-0.8
Commit: b458854977c437e85fd89056e5d40383c8fa962e
Parents: 170b386
Author: Matei Zaharia <matei@eecs.berkeley.edu>
Authored: Sun Sep 8 21:25:49 2013 -0700
Committer: Matei Zaharia <matei@eecs.berkeley.edu>
Committed: Sun Sep 8 21:25:49 2013 -0700

----------------------------------------------------------------------
 docs/cluster-overview.md | 2 +-
 docs/quick-start.md      | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/b4588549/docs/cluster-overview.md
----------------------------------------------------------------------
diff --git a/docs/cluster-overview.md b/docs/cluster-overview.md
index cf6b48c..7025c23 100644
--- a/docs/cluster-overview.md
+++ b/docs/cluster-overview.md
@@ -80,7 +80,7 @@ The following table summarizes terms you'll see used to refer to cluster concept
   <tbody>
     <tr>
       <td>Application</td>
-      <td>Any user program invoking Spark</td>
+      <td>User program built on Spark. Consists of a <em>driver program</em> and <em>executors</em> on the cluster.</td>
     </tr>
     <tr>
       <td>Driver program</td>

http://git-wip-us.apache.org/repos/asf/incubator-spark/blob/b4588549/docs/quick-start.md
----------------------------------------------------------------------
diff --git a/docs/quick-start.md b/docs/quick-start.md
index 1b069ce..8f782db 100644
--- a/docs/quick-start.md
+++ b/docs/quick-start.md
@@ -36,7 +36,7 @@ scala> textFile.count() // Number of items in this RDD
 res0: Long = 74
 
 scala> textFile.first() // First item in this RDD
-res1: String = Welcome to the Spark documentation!
+res1: String = # Apache Spark
 {% endhighlight %}
 
 Now let's use a transformation. We will use the [`filter`](scala-programming-guide.html#transformations) transformation to return a new RDD with a subset of the items in the file.