commit | 304e3b36ebe3792eddd54da5336a2a95bf12c329 | [log] [tgz] |
---|---|---|
author | Jack Fragassi <jfragassi98@gmail.com> | Tue Mar 30 08:46:16 2021 -0700 |
committer | GitHub <noreply@github.com> | Tue Mar 30 08:46:16 2021 -0700 |
tree | 9a3cc84c0f5a0f9aa22a7b2979a8afdb7e194575 | |
parent | 4ae9b819d3c23f4f67272ca590721f7707419a5d [diff] |
feat(alerts & reports): Easier to read execution logs (#13752) * Prep for migration * Migration for execution id column * Generate execution ids for alerts and reports * Change execution id range * Add execution id to API endpoint * Add execution id to execution log view * Change execution id range * Change execution id to a uuid * Fix execution id type * Switch state and exec. id columns * Change db column to UUIDType * Python lint * Fix failing frontend tests * execution_id -> uuid * Fix migration head * lint * Use celery task id as the execution id * lint * lint for real * Fix tests
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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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.