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-rw-r--r--docs/quick-start.md18
1 files changed, 11 insertions, 7 deletions
diff --git a/docs/quick-start.md b/docs/quick-start.md
index 81143da865..bb39e4111f 100644
--- a/docs/quick-start.md
+++ b/docs/quick-start.md
@@ -184,10 +184,10 @@ scala> linesWithSpark.cache()
res7: spark.RDD[String] = spark.FilteredRDD@17e51082
scala> linesWithSpark.count()
-res8: Long = 15
+res8: Long = 19
scala> linesWithSpark.count()
-res9: Long = 15
+res9: Long = 19
{% endhighlight %}
It may seem silly to use Spark to explore and cache a 100-line text file. The interesting part is
@@ -202,10 +202,10 @@ a cluster, as described in the [programming guide](programming-guide.html#initia
>>> linesWithSpark.cache()
>>> linesWithSpark.count()
-15
+19
>>> linesWithSpark.count()
-15
+19
{% endhighlight %}
It may seem silly to use Spark to explore and cache a 100-line text file. The interesting part is
@@ -423,14 +423,14 @@ dependencies to `spark-submit` through its `--py-files` argument by packaging th
We can run this application using the `bin/spark-submit` script:
-{% highlight python %}
+{% highlight bash %}
# Use spark-submit to run your application
$ YOUR_SPARK_HOME/bin/spark-submit \
--master local[4] \
SimpleApp.py
...
Lines with a: 46, Lines with b: 23
-{% endhighlight python %}
+{% endhighlight %}
</div>
</div>
@@ -444,7 +444,8 @@ Congratulations on running your first Spark application!
* Finally, Spark includes several samples in the `examples` directory
([Scala]({{site.SPARK_GITHUB_URL}}/tree/master/examples/src/main/scala/org/apache/spark/examples),
[Java]({{site.SPARK_GITHUB_URL}}/tree/master/examples/src/main/java/org/apache/spark/examples),
- [Python]({{site.SPARK_GITHUB_URL}}/tree/master/examples/src/main/python)).
+ [Python]({{site.SPARK_GITHUB_URL}}/tree/master/examples/src/main/python),
+ [R]({{site.SPARK_GITHUB_URL}}/tree/master/examples/src/main/r)).
You can run them as follows:
{% highlight bash %}
@@ -453,4 +454,7 @@ You can run them as follows:
# For Python examples, use spark-submit directly:
./bin/spark-submit examples/src/main/python/pi.py
+
+# For R examples, use spark-submit directly:
+./bin/spark-submit examples/src/main/r/dataframe.R
{% endhighlight %}