commit | 2347de09fca53f65cbf2292e6020a6c8734dd833 | [log] [tgz] |
---|---|---|
author | Lily Kuang <lily@preset.io> | Thu Apr 01 13:06:45 2021 -0700 |
committer | henryyeh <me@henryyeh.com> | Tue Apr 06 12:11:08 2021 -0700 |
tree | c805d70ccb11f9acd1f580847b5635053afe8edd | |
parent | 52f7a0afeb516bfc10e9ef0c64f9114aab3007a3 [diff] |
feat(alert/report): add ALERTS_ATTACH_REPORTS feature flags + feature (#13894) * Add a feature flag ALERTS_ATTACH_REPORTS * update test * update feature flag * add comment for feature flag * add unit tests for alerts with attachments disabled * fix lint Co-authored-by: samtfm <sam@preset.io> (cherry picked from commit 762101018b64e8d9edd4ad0a28363b96b3c9e9e5)
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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Query and visualize your data with SQL Lab
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Choose from a wide array of visualizations
Superset provides:
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.
Extended documentation for Superset
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.