8a57a71bed
* Save Dataset Modal: - Use our Select component as substitute of the Autocomplete one so options are loaded initially without the user having to trigger a search and we are mosre consistent with the rest of the app - Changing datasetId to lowercase so when custom props get into the DOM we don't get warning related to invalid formatting - We extracted the dropdown out of the radio because it causes invalid click handling when an option is selected - Updated tests * Save Dataset Modal: - Update missing test for DatasourceControl * Save Dataset Modal: - Remove conditional from load options function since only guest users dont have userId, and if that is the case they wont reach this part of the application * Save Dataset Modal: - Remove unused comment * Save Dataset Modal: - Add getPopupContainer as prop for Select component * Save Dataset Modal: - Add tests for our new getPopupContainer prop in Select component. So if passed it gets called. * Save Dataset Modal: - use lowercased property when calling post form data * Save Dataset Modal: - Update tests so there is no need to define a null returning func * Save Dataset Modal: - Including getPopupContainer from PickedSelectProps instead - Updating definition in SelectFilterPlugin |
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README.md
Superset
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
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
Extended documentation for Superset
Get Involved
- Ask and answer questions on StackOverflow using the apache-superset tag
- Join our community's Slack and please read our Slack Community Guidelines
- Join our dev@superset.apache.org Mailing list
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
-
Getting Started with Superset
-
Deploying Superset
-
Recordings of Past Superset Community Events
-
Visualizations