feat: request ids on API related endpoints (#12663)

* feat: request ids on API related endpoints

* rename ids to include_ids
3 files changed
tree: b345888515f5f4fcf796155d6a09bb6adbaedee5
  1. .github/
  2. docker/
  3. docs/
  4. helm/
  5. RELEASING/
  6. requirements/
  7. scripts/
  8. superset/
  9. superset-frontend/
  10. tests/
  11. .asf.yaml
  12. .codecov.yml
  13. .dockerignore
  14. .editorconfig
  15. .flaskenv
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  17. .gitignore
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  20. .pylintrc
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  22. CHANGELOG.md
  23. CODE_OF_CONDUCT.md
  24. CONTRIBUTING.md
  25. docker-compose.yml
  26. Dockerfile
  27. INSTALL.md
  28. INTHEWILD.md
  29. LICENSE.txt
  30. MANIFEST.in
  31. NOTICE
  32. pytest.ini
  33. README.md
  34. setup.cfg
  35. setup.py
  36. tox.ini
  37. UPDATING.md
README.md

Superset

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A modern, enterprise-ready business intelligence web application.

Why Superset? | Supported Databases | Installation and Configuration | Release Notes | Get Involved | Contributor Guide | Resources | Organizations Using Superset

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Why Superset?

Superset provides:

  • An intuitive interface for visualizing datasets and crafting interactive dashboards
  • A wide array of beautiful visualizations to showcase your data
  • Code-free visualization builder to extract and present datasets
  • A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
  • A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
  • Out-of-the-box support for most SQL-speaking databases
  • Seamless, in-memory asynchronous caching and queries
  • An extensible security model that allows configuration of very intricate rules on on who can access which product features and datasets.
  • Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
  • The ability to add custom visualization plugins
  • An API for programmatic customization
  • A cloud-native archiecture designed from the ground up for scale

Supported Databases

Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.

Here are some of the major database solutions that are supported:

A more comprehensive list of supported databases along with the configuration instructions can be found here.

Want to add support for your datastore or data engine? Read more here about the technical requirements.

Installation and Configuration

Extended documentation for Superset

Get Involved

Contributor Guide

Interested in contributing? Check out our CONTRIBUTING.md to find resources around contributing along with a detailed guide on how to set up a development environment.

Resources