Getting access to Spark cluster in Spark 2.0

In this recipe, we demonstrate how to get access to a Spark cluster using a single point access named SparkSession. Spark 2.0 abstracts multiple contexts (such as SQLContext, HiveContext) into a single entry point, SparkSession, which allows you to get access to all Spark subsystems in a unified way.

How to do it...

1. Start a new project in IntelliJ or in an IDE of your choice. Make sure that the necessary JAR files are included.
2. Set up the package location where the program will reside:

package spark.ml.cookbook.chapter4

3. Import the necessary packages for SparkContext to get access to the cluster.
4. In Spark 2.x, SparkSession is more commonly used instead.

import org.apache.spark.sql.SparkSession

5. Create Spark's configuration and SparkSession so we can have access to the cluster:

val spark = SparkSession
.builder
.master("local[*]") // if use cluster master("spark://master:7077")
.appName("myAccesSparkCluster20")
.config("spark.sql.warehouse.dir", ".")
.getOrCreate...