Mappings

Lesson in the Elasticsearch Roadmap · Stage 2: Mappings

Last updated 14 September 2026

What is Mappings?

Mappings are like schemas in relational databases; they define how a document and its fields are stored and indexed. They specify the data type of each field (like text, keyword, date, or number) and how Elasticsearch should handle that data for searching and analysis. Mappings are crucial for ensuring data is indexed correctly and that queries return accurate and relevant results.

Study this in the interactive course See the whole Elasticsearch roadmap

Free resources to learn Mappings

Official docsMapping
ArticleElasticsearch Mapping
VideoWhat Are Mappings in Elasticsearch? (Explained Simply)
VideoBeginner’s Crash Course to Elastic Stack - Part 5: Mapping

Mappings: common questions

Can I learn Mappings 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 Mappings 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 Mappings tutorial for beginners?

It is lesson 7 of 113 in the free Elasticsearch roadmap, in stage 2, Mappings. 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.