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author | Patrick Wendell <pwendell@gmail.com> | 2014-05-06 12:07:46 -0700 |
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committer | Patrick Wendell <pwendell@gmail.com> | 2014-05-06 12:07:46 -0700 |
commit | 7b978c1ac59718b85e512c46105b6af641afc3dc (patch) | |
tree | 366526f82d950e42a4d3f7d9e00715c416de6fcd /docs/quick-start.md | |
parent | 1e829905c791fbf1dfd8e0c1caa62ead7354605e (diff) | |
download | spark-7b978c1ac59718b85e512c46105b6af641afc3dc.tar.gz spark-7b978c1ac59718b85e512c46105b6af641afc3dc.tar.bz2 spark-7b978c1ac59718b85e512c46105b6af641afc3dc.zip |
Fix two download suggestions in the docs:
1) On the quick start page provide a direct link to the downloads (suggested by @pbailis).
2) On the index page, don't suggest users always have to build Spark, since many won't.
Author: Patrick Wendell <pwendell@gmail.com>
Closes #662 from pwendell/quick-start and squashes the following commits:
0622f27 [Patrick Wendell] Fix two download suggestions in the docs:
Diffstat (limited to 'docs/quick-start.md')
-rw-r--r-- | docs/quick-start.md | 8 |
1 files changed, 3 insertions, 5 deletions
diff --git a/docs/quick-start.md b/docs/quick-start.md index 64996b52e0..478b790f92 100644 --- a/docs/quick-start.md +++ b/docs/quick-start.md @@ -9,11 +9,9 @@ title: Quick Start This tutorial provides a quick introduction to using Spark. We will first introduce the API through Spark's interactive Scala shell (don't worry if you don't know Scala -- you will not need much for this), then show how to write standalone applications in Scala, Java, and Python. See the [programming guide](scala-programming-guide.html) for a more complete reference. -To follow along with this guide, you only need to have successfully built Spark on one machine. Simply go into your Spark directory and run: - -{% highlight bash %} -$ sbt/sbt assembly -{% endhighlight %} +To follow along with this guide, first download a packaged release of Spark from the +[Spark website](http://spark.apache.org/downloads.html). Since we won't be using HDFS, +you can download a package for any version of Hadoop. # Interactive Analysis with the Spark Shell |