All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
- Ability to specify engine version via an environment variable
- Basic and token-based authentication support
- Handle
file://
URL as current working directory - Fix subprocess error not showing correct log file paths
- Added support for
file://
URLs to automatically run akamu sql server
sub-process and serve data from a local workspace
- New
utils.df_to_geojson
function
- Improved readme
- Corrected links in readme
- Jupyter extension auto-registers the
autovizwidget
to visualize Pandas dataframes
- Jupyter extension that provides a convenience
%%sql
cell magic
- Spark engine support via Livy HTTP gateway (not for production)
- Hidden different connection implementations behind
KamuConnection
interface KamuConnection.query(sql)
helper method
- Keeping a CHANGELOG
- Initial wrapper around ADBC connection