There are two ways to convert the rdd into datasets and dataframe. 1. Inferring the Schema Using Reflection Here spark…
DataFrame is an immutable distributed collection of data.Unlike an RDD, data is organized into named columns, like a table in…
Tuning Spark often simply means changing the Spark application’s runtime configuration. The primary configuration mechanism in Spark is the SparkConf…
In distributed mode, Spark uses a master/slave architecture with one central coordinator and many distributed workers. The central coordinator is…
Spark provides several descriptive statistics operations on RDDs containing numeric data. Spark’s numeric operations are implemented with a streaming algorithm…
Working with data on a per partition basis allows us to avoid redoing set up work for each data item.…
When we normally pass functions to Spark, such as a map() function or a condition for filter(), they can use…