The Elasticsearch Query Language (ES|QL) provides a powerful way to filter, transform, and analyze data stored in Elasticsearch, and in the future in other runtimes. It is designed to be easy to learn and use, by end users, SRE teams, application developers, and administrators.

Extended Structured Query Language (ESQL) is a programming language defined by IBM Integration Bus to define and manipulate data within a message flow.

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Elasticsearch Piped Query Language (ES|QL) helps teams simplify observability and security workflows by executing faster queries and enhancing detection accuracy.

This guide shows how you can use ES|QL to query and aggregate your data. This getting started is also available as an interactive Python notebook in the elasticsearch-labs GitHub repository. To follow along with the queries in this guide, you can either set up your own deployment, or use Elastic’s public ES|QL demo environment.

SQL is the industry standard language for accessing and updating database data and ESQL is a language derived from SQL Version 3, particularly suited to manipulating both database and message data. ESQL reference

2024年1月22日 · Querying Basics: At its core, ES|QL is a query language designed for Elasticsearch. It provides a SQL-like syntax to interact with Elasticsearch indices, allowing users to search, filter, and...

ESQL is an SQL upward-compatible database language that integrates in a uniform and clean way the essential concepts of relational, object-oriented and deductive databases. ESQL is intended for traditional data processing applications as well as more complex applications such as large expert systems.

ES|QL processing commands change an input table by adding, removing, or changing rows and columns. ES|QL supports these processing commands: [preview] This functionality is in technical preview and may be changed or removed in a future release.

2023年11月12日 · In the beginning, Elastic created the almighty query DSL: a powerful, flexible, and very expressive language to query your Elasticsearch data using JSON-formatted queries. With the query DSL, the possibilities are limitless as you can mix and match your queries in pretty much any way you like.