Operating on DataFrames programmatically without SQL
In this recipe, we explore how to manipulate with code and method calls only (without SQL). The DataFrames have their own methods that allow you to perform SQL-like operations using a programmatic approach. We demonstrate some of these commands such as select(), show(), and explain() to get the point across that the DataFrame itself is capable of wrangling and manipulating the data without using SQL.
How to do it...
- Start a new project in IntelliJ or in an IDE of your choice. Make sure the necessary JAR files are included.
- Set up the package location where the program will reside
package spark.ml.cookbook.chapter3
- Set up the imports related to DataFrames and the required data structures and create the RDDs as needed for the example
import org.apache.spark.sql._
- Import the packages for setting up logging level for
log4j. This step is optional, but we highly recommend it (change the level appropriately as you move through the development cycle...
