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authorMatei Zaharia <matei@eecs.berkeley.edu>2013-09-08 21:25:49 -0700
committerMatei Zaharia <matei@eecs.berkeley.edu>2013-09-08 21:25:49 -0700
commitb458854977c437e85fd89056e5d40383c8fa962e (patch)
treef486d6427bc8da29b113843af3c5a45fae45b7f2
parent170b3869ee8c854b66ce75901efc2c1a9e96ff99 (diff)
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Fix some review comments
-rw-r--r--docs/cluster-overview.md2
-rw-r--r--docs/quick-start.md2
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.