Integrate Spark with R

You integrate Spark with R when you want to run R programs as Spark jobs.

On each node that will submit Spark jobs, install R 3.2.2 or greater:
- On Ubuntu:
```
apt-get install r-base-dev
```
- On CentOS/RedHat:
```
yum install R
```
For more information about installing R, see the R documentation.
To verify the integration, run the following commands as the mapr user or as a user that mapr impersonates:
1. Start Spark R:
  - On Spark 2.0.1, 2.1.0, and later:
```
/opt/mapr/spark/spark-<version>/bin/sparkR --master <master> [--deploy-mode <deploy-mode>]
```
  - On Spark 1.6.1:
```
/opt/mapr/spark/spark-<version>/bin/sparkR --master <master-url>
```
2. Run the following command to create a DataFrame using sample data:
  On Spark 1.6.1:
```
people <- read.df(sqlContext, "file:///opt/mapr/spark/spark-<version>/examples/src/main/resources/people.json", "json")
```
  On Spark 2.0.1, 2.1.0, and later:
```
people <- read.df(spark, "file:///opt/mapr/spark/spark-<version>/examples/src/main/resources/people.json", "json")
```
3. Run the following command to display the data from the DataFrame that you just created:
```
head(people)
```