User-Defined Functions (UDFs) in Kinetica in AWS are implemented in Python.
Tutorial
The Python UDF Tutorial details the implementation & execution of distributed UDFs in the Python UDF APIs. Also provided are examples of UDFs, including a simple table copy and a more complex integration into a machine-learning library's demo program.
UDF Prerequisites
- The system_admin role (for creating and executing procs) or Proc Level Permissions (for executing procs as a non-admin). See Managing Users & Roles for more information on setting roles and permissions.
- Kinetica Python UDF API; this can be downloaded from GitHub. See UDF API Installation.
Development
- Python UDF API
- A reference for the Python UDF API
- Running Python UDFs
- How to run a Python UDF in the Kinetica environment
- UDF Python Examples
- Complete examples of distributed UDFs
