PluralSight – Filter and Refine Searches in Elasticsearch with Query DSL 2026
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Learn how to build precise, efficient Elasticsearch searches using Query DSL. This course teaches you to filter, refine, and optimize queries in Kibana, apply advanced query types, and avoid common performance pitfalls.
What you’ll learn
In many real-world scenarios, search results are inaccurate, inefficient, or hard to control due to improper query choices and filtering logic.
In this course, Filter and Refine Searches in Elasticsearch with Query DSL, you’ll gain the ability to build targeted and optimized search queries in Kibana.
First, you’ll explore core Query DSL filtering techniques, including match vs. term queries, range queries, and bool logic.
Next, you’ll discover advanced “power filters” such as match_phrase, multi_match, wildcard, prefix, and fuzzy queries, along with their performance considerations.
Finally, you’ll learn how to validate and refine search results by iterating queries, controlling result size, and handling edge cases.
When you’re finished with this course, you’ll have the skills and knowledge of Elasticsearch Query DSL needed to confidently refine search behavior and deliver accurate results in real-world applications.
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