User-Defined Function Implementation¶
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.
Tutorials¶
Learn more about the UDF development process using a sample UDF tutorial in the following languages:
UDF Prerequisites¶
Kinetica v5.4 or later
UDFs enabled in
/opt/gpudb/core/etc/gpudb.conf:enable_procs = true
The
system_adminrole (for creating and executing procs using the APIs)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
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
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
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