This is the 7.2 version of the server-side Python UDF API for Kinetica. UDFs are server-side programs written in this API and then installed, configured, and initiated through a separate client-side management API. These two APIs are independent of each other and do not need to be written in the same language; e.g., a UDF can be written in the Python UDF API and managed in SQL (from Workbench, KiSQL, or other database client).
The source code for this project can be found at https://github.com/kineticadb/kinetica-udf-api-python
For changes to the client-side API, please refer to CHANGELOG.md.
This repository contains the Kinetica Python UDF API solely contained in the
kinetica-proc.py file.
This file will be available within the server environment and can be imported into the UDF as follows:
from kinetica_proc import ProcData
This repository also contains several example projects in the examples
directory, which implement UDFs in the Python UDF API.
The Kinetica Python UDF API supports Apache Arrow natively. A few examples that demonstrate using Apache Arrow with Kinetica are available:
For information about UDFs in Kinetica, please see the User-Defined Functions sections of the Kinetica documentation:
- UDF Concepts: https://docs.kinetica.com/7.2/udf_overview/
- Python UDF API: https://docs.kinetica.com/7.2/udf/python/writing/
- Python UDF Management API: https://docs.kinetica.com/7.2/udf/python/running/
- Python UDF Tutorial: https://docs.kinetica.com/7.2/guides/udf_python_guide/
- Python UDF Examples: https://docs.kinetica.com/7.2/udf/python/examples/
For bugs, please submit an issue on Github.
For support, you can post on
stackoverflow under the
kinetica tag or
Slack.
- Ask a question on Slack: Slack
- Follow on GitHub: Follow @kineticadb
- Email us: [email protected]
- Visit: https://www.kinetica.com/contact/
