KQL
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What is KQL?
Kibana Query Language (KQL) is a query language used within Kibana to search and filter data in Elasticsearch. It allows users to construct queries using a human-readable syntax, making it easier to find specific information within their Elasticsearch indices without needing to write complex JSON-based Elasticsearch queries. KQL supports features such as free-text search, field-based filtering, Boolean operators, and range queries.
Free resources to learn KQL
- Official docsKQL
- Official docsKibana Query Language
- ArticleHow to Query Elasticsearch in Kibana
- VideoExploring and querying your data with Kibana
- VideoUnderstanding the Kibana Query Language (KQL)
More in stage 4: Leaf vs Compound Queries
KQL: common questions
Can I learn KQL in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain KQL in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this KQL tutorial for beginners?
It is lesson 46 of 113 in the free Elasticsearch roadmap, in stage 4, Leaf vs Compound Queries. If you are new to Elasticsearch, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.