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Open搜索 SQL

Open搜索 enables you to extract insights out of Open搜索 using the familiar SQL or Piped Processing Language (PPL) query syntax. Use aggregations, group by, and where clauses to investigate your data. Read your data as JSON documents or CSV tables so you have the flexibility to use the format that works best for you.

The following projects are related to the SQL plugin, but stored in the different repos. Please refer to links below for details. This document will focus on the SQL plugin for Open搜索.

Code Summary

SQL Engine

Test and build [![SQL CI][sql-ci-badge]][sql-ci-link]
Code coverage codecov
Distribution build tests Open搜索 IT tests Open搜索 IT code
Backward compatibility tests BWC tests

仓库 Checks

DCO Checker [![Developer certificate of origin][dco-badge]][dco-badge-link]
Link Checker Link Checker

问题

good first issues open
features open
enhancements open
bugs open
untriaged open
nolabel open

Highlights

Besides basic filtering and aggregation, Open搜索 SQL also supports complex queries, such as querying semi-structured data, JOINs, set operations, sub-queries etc. Beyond the standard functions, Open搜索 functions are provided for better analytics and visualization. Please check our documentation for more details.

Recently we have been actively improving our query engine primarily for better correctness and extensibility. Behind the scene, the new enhanced engine has already supported both SQL and Piped Processing Language. Please find more details in SQL Engine V2 - Release Notes.

Documentation

Please refer to the SQL Language Reference Manual, Piped Processing Language (PPL) Reference Manual, Open搜索 SQL/PPL Engine Development Manual and Technical Documentation for detailed information on installing and configuring plugin.

Forum

For additional help with the plugin, including questions about opening an issue, visit the Open搜索 Forum.

Contributing

See developer guide and how to contribute to this project.

Attribution

This project is based on the Apache 2.0-licensed elasticsearch-sql project. Thank you eliranmoyal, shi-yuan, ansjsun and everyone else who contributed great code to that project. Read this for more details Attributions.

Code of Conduct

This project has adopted an Open Source Code of Conduct.

安全

If you discover a potential security issue in this project we ask that you notify Open搜索 安全 directly via email to security@opensearch.org. Please do not create a public GitHub issue.

License

See the LICENSE file for our project's licensing. We will ask you to confirm the licensing of your contribution.

Copyright

Copyright Open搜索 贡献者. See NOTICE for details.

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Query your data using familiar SQL or intuitive Piped Processing Language (PPL)

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