![]() ![]() ![]() Sys.setenv(HADOOP_CONF_DIR='/etc/hadoop/') Here is a simple example script, reading a CSV file from HDFS and printing its first elements (detailed explanations below): Next, we will run a SparkR script locally from an RStudio session. Step 2: run SparkR scripts locally from RStudio Here is my local home directory in my ~]$ llĭrwxrwxr-x 2 ctsats ctsats 52 Mar 1 18:16 kaggleĭrwxr-xr-x. ![]() The best part? You don’t need to download a Spark version that matches the version in your CDH distribution in our cluster, the CDH version is 5.6, which comes with Spark 1.5.0, while locally I have downloaded Spark 1.6.1, prebuilt for Hadoop 2.6. The first step is to download Spark locally in your gateway home folder this is very simple actually, and I have provided detailed instructions elsewhere. A gateway node, through which you connect to the cluster to submit jobs, and in which you naturally have a user account (i.e.A Cloudera Hadoop cluster, with R installed in all worker nodes.In this post we will demonstrate how to use SparkR in a Cloudera Hadoop cluster. Suppose you are an avid R user, and you would like to use SparkR in Cloudera Hadoop unfortunately, as of the latest CDH version (5.7), SparkR is still not supported (and, according to a recent discussion in the Cloudera forums, we shouldn’t expect this to happen anytime soon). ![]()
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