hey @Punit Chauhan​ 

BV are used in the same way for RDD, DataFrame, and Dataset.

When you run a Spark RDD, DataFrame jobs that has the Broadcast variables defined and used, Spark does the following.

• Spark breaks the job into stages that have distributed shuffling and actions are executed with in the stage.
• Later Stages are also broken into tasks
• Spark BV the common data (reusable) needed by tasks within each stage.
• The BV data is cache in serialized format and deserialized before executing each task.