User-Defined Function Implementation

UDFs can be implemented in any of the following APIs:


The following tutorial details the implementation & execution of distributed User-Defined Functions (UDFs) in the Python API. 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 managing procs) or Proc Level Permissions (for managing procs as a non-admin). See Managing Users & Roles for more information on setting roles and permissions
  • Kinetica UDF APIs; these can be downloaded from GitHub. See one of the API references below for installation instructions.



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

Simulating UDFs

UDF Simulator
How to simulate running a UDF written in any API


Each UDF API should be compatible with the corresponding minor release of the database; e.g., the Python UDF v7.1 API is compatible with a Kinetica v7.1 database.