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authorSean Owen <sowen@cloudera.com>2014-10-14 21:37:51 -0700
committerXiangrui Meng <meng@databricks.com>2014-10-14 21:37:51 -0700
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SPARK-1307 [DOCS] Don't use term 'standalone' to refer to a Spark Application
HT to Diana, just proposing an implementation of her suggestion, which I rather agreed with. Is there a second/third for the motion? Refer to "self-contained" rather than "standalone" apps to avoid confusion with standalone deployment mode. And fix placement of reference to this in MLlib docs. Author: Sean Owen <sowen@cloudera.com> Closes #2787 from srowen/SPARK-1307 and squashes the following commits: b5b82e2 [Sean Owen] Refer to "self-contained" rather than "standalone" apps to avoid confusion with standalone deployment mode. And fix placement of reference to this in MLlib docs.
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diff --git a/docs/quick-start.md b/docs/quick-start.md
index 23313d8aa6..6236de0e1f 100644
--- a/docs/quick-start.md
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@@ -8,7 +8,7 @@ title: Quick Start
This tutorial provides a quick introduction to using Spark. We will first introduce the API through Spark's
interactive shell (in Python or Scala),
-then show how to write standalone applications in Java, Scala, and Python.
+then show how to write applications in Java, Scala, and Python.
See the [programming guide](programming-guide.html) for a more complete reference.
To follow along with this guide, first download a packaged release of Spark from the
@@ -215,8 +215,8 @@ a cluster, as described in the [programming guide](programming-guide.html#initia
</div>
</div>
-# Standalone Applications
-Now say we wanted to write a standalone application using the Spark API. We will walk through a
+# Self-Contained Applications
+Now say we wanted to write a self-contained application using the Spark API. We will walk through a
simple application in both Scala (with SBT), Java (with Maven), and Python.
<div class="codetabs">
@@ -387,7 +387,7 @@ Lines with a: 46, Lines with b: 23
</div>
<div data-lang="python" markdown="1">
-Now we will show how to write a standalone application using the Python API (PySpark).
+Now we will show how to write an application using the Python API (PySpark).
As an example, we'll create a simple Spark application, `SimpleApp.py`: