Modernize Apache Spark workflows using Spark Connect on Amazon EMR on Amazon EC2
Big Data Blog
This article demonstrates how to implement Apache Spark Connect on Amazon EMR to enable local development while executing on remote clusters.
- Spark Connect separates client applications from Spark runtime using client-server architecture
- Developers can write and test Spark code locally while using EMR clusters for execution
- Solution uses Application Load Balancer with TLS termination for secure encrypted communications
- Bootstrap script automatically starts Spark Connect server on EMR primary node
- Includes step-by-step implementation: IAM roles, EMR cluster creation, ALB deployment, security configuration
- Test application demonstrates version compatibility between client (4.0.1) and cluster (3.5.5)
- Security best practices: private subnets, VPC Flow Logs, CloudTrail, restricted security groups
This guide enables modern development workflows for Spark applications with independent infrastructure upgrades and patches.
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