Hyperleaup

We’d like to announce the release of Hyperleaup 0.1.2, which introduces the following improvements:

- Adds an experimental `LARGEFILE` creation mode option to improve performance when creating a Hyper file for a large dataset. It does this by saving multiple files and using an array of Parquet file paths in the Tableau Hyper API `COPY` command.

_Note_: This creation mode only works with the Databricks File System (DBFS).

Credits: Dustin Vannoy (dustinvannoy-db)

**Credits**: Dustin Vannoy (dustinvannoy-db)

We’d like to announce the release of Hyperleaup 0.1.0, which introduces the following improvements:

- Project restructuring in accordance with the official [Python Packaging User Guide](https://packaging.python.org/en/latest/)
- Project packaging using Hatchling
- Bump PySpark version from 3.1.3 to 3.2.2

You can now download and install Hyperleaup directly from [PyPI](https://pypi.org/project/hyperleaup/): `pip install hyperleaup`

This (beta) release adds the following features and bug fixes:

- Adds support for Tableau server token authentication
- Bumps the version of Pyspark from 3.1.2 to 3.1.3
- Adds an Apache 2.0 license

This initial release supports creating Tableau Hyper files from Apache Spark DataFrames.