From b458854977c437e85fd89056e5d40383c8fa962e Mon Sep 17 00:00:00 2001
From: Matei Zaharia <matei@eecs.berkeley.edu>
Date: Sun, 8 Sep 2013 21:25:49 -0700
Subject: [PATCH] Fix some review comments
---
docs/cluster-overview.md | 2 +-
docs/quick-start.md | 2 +-
2 files changed, 2 insertions(+), 2 deletions(-)
diff --git a/docs/cluster-overview.md b/docs/cluster-overview.md
index cf6b48c05e..7025c23657 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>
diff --git a/docs/quick-start.md b/docs/quick-start.md
index 1b069ce982..8f782db5b8 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.
--
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