Numeric Data Types

Lesson in the Elasticsearch Roadmap · Stage 3: Data Types

Last updated 14 September 2026

What is Numeric Data Types?

Numeric data types in Elasticsearch are used to store numerical values, such as integers and floating-point numbers. These types allow you to efficiently store and query numerical data, enabling operations like range queries, aggregations, and sorting based on numerical values. Elasticsearch offers various numeric types to optimize storage and performance based on the expected range and precision of your data.

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Free resources to learn Numeric Data Types

Official docsNumeric field types

Numeric Data Types: common questions

Can I learn Numeric Data Types 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 Numeric Data Types 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 Numeric Data Types tutorial for beginners?

It is lesson 23 of 113 in the free Elasticsearch roadmap, in stage 3, Data Types. 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.