User-Defined Function Implementation¶

Tutorials
UDF Prerequisites
API
- C++
- Java
- Python
Simulating UDFs
Compatibility Matrix

UDFs can be implemented in any of the following APIs:

C++
Java
Python

Tutorials¶

The following tutorials detail the implementation & execution of distributed User-Defined Functions Overview (UDFs) in the respective 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.

Python
Java

UDF Prerequisites¶

Kinetica v5.4 or later
UDFs enabled in /opt/gpudb/core/etc/gpudb.conf:
```
enable_procs = true
```
The system_admin role (for creating and executing procs) or Proc Level Permissions (for executing procs). See Security (User/Role Management) for more information on setting roles and permissions
User authorization enabled (recommended); see Security Configuration section for details
Kinetica UDF APIs; these come packaged with the default Kinetica installation, but can be downloaded separately, if developing UDFs without a local Kinetica instance installed

API¶

C++¶

C++ UDF API: A reference for the C++ UDF API
Running C++ UDFs: How to run a C++ UDF in the Kinetica environment
UDF C++ Examples: Complete examples of distributed UDFs

Java¶

Java UDF API: A reference for the Java UDF API
Running Java UDFs: How to run a Java UDF in the Kinetica environment
UDF Java Examples: Complete example of a distributed UDF

Python¶

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

Compatibility Matrix¶

The following chart shows the version compatibilities between the various UDF APIs and a target database server.

Database	C++	Java	Python
6.2	6.2.0	6.2.0	6.2.0
7.0	7.0	7.0	7.0

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