data-prep-toolkit-spark 0.2.0

Data Preparation Toolkit Library for Spark

Spark Data Processing Library

This provides a python framework for developing transforms on data stored in files - currently parquet files are supported - and running them in a Spark cluster. Data files may be stored in the local file system or COS/S3. For more details see the documentation.

Virtual Environment

The project uses pyproject.toml and a Makefile for operations. To do development you should establish the virtual environment

make venv

and then either activate

source venv/bin/activate

or set up your IDE to use the venv directory when developing in this project

Library Artifact Build and Publish

To test, build and publish the library

make test build publish

To up the version number, edit the Makefile to change VERSION and rerun the above. This will require committing both the Makefile and the automatically updated pyproject.toml file.