Query Optimization Strategies
Discover techniques to write faster and more efficient queries, including filtering, choosing appropriate query types, and avoiding common pitfalls.
Boost Your Elasticsearch Queries
Welcome to Query Optimization Strategies! In this lesson, we'll dive into techniques to make your Elasticsearch searches faster and more efficient.
Optimized queries mean quicker response times for your users and less strain on your cluster's resources. Let's learn how to write smarter queries!
Filter vs. Query Context
One of the most crucial concepts for query performance is understanding the difference between Query Context and Filter Context.
- Query Context: Used for full-text search. It determines if a document matches the query AND calculates a relevancy
_score. - Filter Context: Only determines if a document matches the query. It does NOT calculate a
_score. Filtered results are often cached, making them very fast.
Use filter context whenever you don't need a relevancy score!
All lessons in this course
- Query Optimization Strategies
- Indexing Performance Best Practices
- Caching and Concurrency
- Profiling and Slow Query Logs