Question

What is the best way to minimize data transfers when working with Spark?

Answer 1

To write a fast and reliable Spark program, we have to minimize data transfers and avoid shuffling. There are various ways to minimize data transfers while working with Apache Spark. These are:

• Using Broadcast Variable- Broadcast variables enhance the efficiency of joins between small and large RDDs.
• Using Accumulators- Accumulators are used to updating the values of variables in parallel while executing.