Apache Spark Connect, introduced in Spark 3.4, enhances the Spark ecosystem by offering a client-server architecture that separates the Spark runtime from the client application. Spark Connect enables more flexible and efficient interactions with Spark clusters, particularly in scenarios where direct access to cluster resources is limited or impractical.
A key use case for Spark Connect on Amazon EMR is to be able to connect directly from your local development environments to Amazon EMR clusters. By using this decoupled approach, you can write and test Spark code on your laptop while using Amazon EMR clusters for execution. This capability reduces development time and simplifies data processing with Spark on Amazon EMR.
In this post, we demonstrate how to implement Apache Spark Connect on Amazon EMR on Amazon Elastic Compute Cloud (Amazon EC2) to build decoupled data processing applications. We show how to set up and configure Spark Connect securely, so you…
