Zeppelin + SparkR

[#1]

does zeppelin support SparkR interpreter?

[#2]

As far as I understood this R interpreter PR is not sharing same SparkContext yet. I've already created a notebook that declares a function in Scala, another in Python and use SQL interpreter to call both functions in a single statement along with a custom java hive-udf. If we could add a function in R, it would be really nice.

[#3]

@Guilherme Braccialli

check out this http://blog.sparkiq-labs.com/2015/11/16/interactive-data-science-with-r-in-apache-zeppelin-notebook/

[#4]

@Guilherme Braccialli

https://community.hortonworks.com/articles/10365/apache-zeppelin-and-sparkr.html

[#5]

Zeppelin since version 0.6, has provided support for R Interpreter. By default, the R Interpreter appears as two Zeppelin Interpreters, %r and %knitr. To run Zeppelin with the R Interpreter, some environment variables must be set:

• R (3.0+)
• JAVA_HOME (Oracle JDK 1.7+)
• SPARK_HOME (The best way to do this is by editing conf/zeppelin-env.sh. If it is not set, the R Interpreter will not be able to interface with Spark.You should also copy conf/zeppelin-site.xml.template to conf/zeppelin-site.xml. That will ensure that Zeppelin sees the R Interpreter the first time it starts up.)

Then, clone the Zeppelin repository and build it with options:

>git clone https://github.com/apache/zeppelin.git 

# enable the "r" and "sparkr" profile 
>mvn clean install -e -DskipTests -Dspark.version={spark_version} -Dhadoop.version={hadoop_version} -Pr -Psparkr -Pvendor-repo -Pexamples -Drat.skip=true -Dcheckstyle.skip=true -Dcobertura.skip=true 

And next, install SparkR package. In Spark 1.6 or earlier, the SparkR need to manually install.

>cd $SPARK_HOME 
>./R/install-dev.sh 

Now, you can starting Apache Zeppelin with command line:

>cd $ZEPPELIN_HOME 
>bin/zeppelin-daemon.sh start  -e

After successful start, visit http://localhost:8080 with your web browser. And you can execute commands as in the CLI.

[#6]

What is the R environment variable that needs setup?