Spark Partitions with Coalesce and Repartition (hash, range, round robin)

One main advantage of the Apache Spark is, it splits data into multiple partitions and executes operations on all partitions of data in parallel which allows us to complete the job faster.While working with partition data we often need to increase or decrease the partitions based on data distribution. Methods repartition and coalesce helps us to repartition.