commit | d25b0967a180beef7cce494f32f5cb2330519bf2 | [log] [tgz] |
---|---|---|
author | Shiva Raisinghani <sraising@berkeley.edu> | Tue Aug 31 00:20:25 2021 -0700 |
committer | GitHub <noreply@github.com> | Tue Aug 31 10:20:25 2021 +0300 |
tree | 8d0e2574a9c38bc0b08a3e98d1d613cd62b04164 | |
parent | ad8336a5b4acff0fb3dc1f9ec5d8954933ce9e6a [diff] |
feat: Add parquet upload (#14449) * allow csv upload to accept parquet file * fix mypy * fix if statement * add test for specificying columns in CSV upload * clean up test * change order in test * fix failures * upload parquet to seperate table in test * fix error message * fix mypy again * rename other extensions to columnar * add new form for columnar upload * add support for zip files * undo csv form changes except usecols * add more tests for zip * isort & black * pylint * fix trailing space * address more review comments * pylint * black * resolve remaining issues
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.