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apache / superset / refs/heads/fix_sqllab_delete_query
commitb02e96cf127c0b49eb304eac083c2156bfb01219[log] [tgz]
authorMaxime Beauchemin <maximebeauchemin@gmail.com>Sun Jul 27 00:47:45 2025 -0700
committerMaxime Beauchemin <maximebeauchemin@gmail.com>Sun Jul 27 00:47:45 2025 -0700
tree4982da19cfef2046b5461e1af2ed62088f72123d
parent1be2287b3a43f14201a48729c295cc1633fa9b27 [diff]
fix(sqllab): query deletion not updating UI in query history

The delete API call succeeded but the RTK Query cache wasn't invalidated, causing deleted queries to remain visible until page refresh. Added cache invalidation to immediately update the UI.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
1 file changed
tree: 4982da19cfef2046b5461e1af2ed62088f72123d
  1. .cursor/
  2. .github/
  3. ASF/
  4. CHANGELOG/
  5. docker/
  6. docs/
  7. helm/
  8. RELEASING/
  9. requirements/
  10. RESOURCES/
  11. scripts/
  12. superset/
  13. superset-embedded-sdk/
  14. superset-frontend/
  15. superset-websocket/
  16. tests/
  17. CLAUDE.md ⇨ LLMS.md
  18. GEMINI.md ⇨ LLMS.md
  19. GPT.md ⇨ LLMS.md
  20. .asf.yaml
  21. .codecov.yml
  22. .coveragerc
  23. .dockerignore
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  34. CHANGELOG.md
  35. CODE_OF_CONDUCT.md
  36. CONTRIBUTING.md
  37. docker-compose-image-tag.yml
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  42. INSTALL.md
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  45. LLMS.md
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  50. pytest.ini
  51. README.md
  52. setup.py
  53. superset_text.yml
  54. 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

Why Superset?

Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.

Superset provides:

  • A no-code interface for building charts quickly
  • A powerful, web-based SQL Editor for advanced querying
  • A lightweight semantic layer for quickly defining custom dimensions and metrics
  • Out of the box support for nearly any SQL database or data engine
  • A wide array of beautiful visualizations to showcase your data, ranging from simple bar charts to geospatial visualizations
  • Lightweight, configurable caching layer to help ease database load
  • Highly extensible security roles and authentication options
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale

Screenshots & Gifs

Video Overview

superset-video-1080p.webm

Large Gallery of Visualizations


Craft Beautiful, Dynamic Dashboards


No-Code Chart Builder


Powerful SQL Editor


Supported Databases

Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, and more) 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

Try out Superset's quickstart guide or learn about the options for production deployments.

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

  • Superset “In the Wild” - open a PR to add your org to the list!
  • Feature Flags - the status of Superset's Feature Flags.
  • Standard Roles - How RBAC permissions map to roles.
  • Superset Wiki - Tons of additional community resources: best practices, community content and other information.
  • Superset SIPs - The status of Superset's SIPs (Superset Improvement Proposals) for both consensus and implementation status.

Understanding the Superset Points of View

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