From Bottlenecks To Breakthroughs: Optimizing Aggregation in OpenSearch for Lightning-Fas... A. Jain

From Bottlenecks To Breakthroughs: Optimizing Aggregation in OpenSearch for Lightning-Fast Analytics - Ankit Jain, Amazon Web Services Efficient data analysis and visualization in OpenSearch depend on fast, scalable aggregations. Yet optimizing performance in a distributed, multi-phase query engine is a significant challenge. In this session, we explore the inner workings of the OpenSearch query engine to unlock powerful strategies for aggregation optimization. Through practical examples and code walkthroughs, you’ll learn to identify performance bottlenecks and apply advanced techniques like range slicing, early collection termination, and multi-range traversal. These methods expose how OpenSearch processes aggregations under the hood—and how you can control that behavior for major performance gains. We’ll also cover smart query rewriting techniques and ways to structure queries and indexes for faster aggregation execution. These strategies can yield up to 100x improvements, transforming the responsiveness of dashboards, reports, and analytical queries. Whether you’re tuning performance in production or designing new analytics features, this session will equip you with the knowledge to dramatically accelerate OpenSearch aggregations and enhance your data workflows.