RocksDB 101: Optimizing stateful streaming in Apache Spark with Amazon EMR and AWS Glue
Big Data Blog
This article provides an in-depth exploration of RocksDB, a state store implementation for Apache Spark Structured Streaming, focusing on optimizing stateful streaming processing in Amazon EMR and AWS Glue environments.
- RocksDB addresses memory management challenges in stateful streaming by using off-heap memory and efficient checkpointing
- Key advantages include reduced JVM memory pressure and garbage collection overhead
- Supports stateful streaming operations like aggregations, de-duplication, and stream-stream joins
- Available in Amazon EMR 6.6.0+ and AWS Glue 4.0+
- Provides detailed metrics and logging for performance monitoring
The article provides a comprehensive guide to implementing RocksDB, including configuration recommendations, memory management strategies, and best practices for optimizing state store performance in Spark Structured Streaming applications.
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