CREATE SCALAR FUNCTION
Creates a scalar user-defined function (Scalar UDF). The same CREATE FUNCTION statement supports two implementation styles:
- SQL expression: Logic expressed purely in SQL; no external runtime is required.
- Python / JavaScript: Write code and specify the entry point with
HANDLER.
If you need to call external systems (HTTP/services), see External Function commands.
Syntax
SQL (expression)
CREATE [ OR REPLACE ] FUNCTION [ IF NOT EXISTS ] <function_name>
( [<parameter_list>] )
RETURNS <return_type>
AS $$ <expression> $$
[ DESC='<description>' ]
Python / JavaScript
CREATE [ OR REPLACE ] FUNCTION [ IF NOT EXISTS ] <function_name>
( [<parameter_list>] )
RETURNS <return_type>
LANGUAGE <language>
[IMPORTS = ('<import_path>', ...)]
[PACKAGES = ('<package_name>', ...)]
HANDLER = '<handler_name>'
AS $$ <function_code> $$
[ DESC='<description>' ]
Parameters
<parameter_list>: Optional comma-separated list of parameters with their types (e.g.,x INT, y FLOAT)<return_type>: The data type of the function's return value<language>:python,javascript<import_path>: Stage files to import (e.g.,@s_udf/your_file.zip)<package_name>: Packages to install from PyPI (Python only; e.g.numpy)<handler_name>: Name of the function in the code to call<function_code>: Implementation code in the specified language
Access control requirements
| Privilege | Object Type | Description |
|---|---|---|
| SUPER | Global, Table | Operates a UDF |
To create a user-defined function, the user performing the operation or the current_role must have the SUPER privilege.
SQL
-- Create a function to calculate area of a circle
CREATE OR REPLACE FUNCTION area_of_circle(radius FLOAT)
RETURNS FLOAT
AS $$
pi() * radius * radius
$$;
-- Create a function to calculate age in years
CREATE OR REPLACE FUNCTION calculate_age(birth_date DATE)
RETURNS INT
AS $$
date_diff('year', birth_date, now())
$$;
-- Create a function with multiple parameters
CREATE OR REPLACE FUNCTION calculate_bmi(weight_kg FLOAT, height_m FLOAT)
RETURNS FLOAT
AS $$
weight_kg / (height_m * height_m)
$$;
-- Use the functions
SELECT area_of_circle(5.0) AS circle_area;
SELECT calculate_age(to_date('1990-05-15')) AS age;
SELECT calculate_bmi(70.0, 1.75) AS bmi;
Python
Python runtime requires Databend Enterprise. You can install PyPI packages via PACKAGES and import stage files via IMPORTS.
Data type mappings (Python)
| Databend Type | Python Type |
|---|---|
| NULL | None |
| BOOLEAN | bool |
| INT | int |
| FLOAT/DOUBLE | float |
| DECIMAL | decimal.Decimal |
| VARCHAR | str |
| BINARY | bytes |
| LIST | list |
| MAP | dict |
| STRUCT | object |
| JSON | dict/list |
Examples
CREATE OR REPLACE FUNCTION calculate_age_py(VARCHAR)
RETURNS INT
LANGUAGE python
HANDLER = 'calculate_age'
AS $$
from datetime import datetime
def calculate_age(birth_date_str):
birth_date = datetime.strptime(birth_date_str, '%Y-%m-%d')
today = datetime.now()
age = today.year - birth_date.year
if (today.month, today.day) < (birth_date.month, birth_date.day):
age -= 1
return age
$$;
SELECT calculate_age_py('1990-05-15') AS age;
CREATE OR REPLACE FUNCTION numpy_sqrt(FLOAT)
RETURNS FLOAT
LANGUAGE python
PACKAGES = ('numpy')
HANDLER = 'numpy_sqrt'
AS $$
import numpy as np
def numpy_sqrt(x):
return float(np.sqrt(x))
$$;
SELECT numpy_sqrt(9.0) AS sqrt_val;
JavaScript
Data type mappings (JavaScript)
| Databend Type | JavaScript Type |
|---|---|
| NULL | null |
| BOOLEAN | Boolean |
| INT | Number |
| FLOAT/DOUBLE | Number |
| DECIMAL | BigDecimal |
| VARCHAR | String |
| BINARY | Uint8Array |
| DATE/TIMESTAMP | Date |
| ARRAY | Array |
| MAP | Object |
| STRUCT | Object |
| JSON | Object/Array |
Example
CREATE OR REPLACE FUNCTION calculate_age_js(VARCHAR)
RETURNS INT
LANGUAGE javascript
HANDLER = 'calculateAge'
AS $$
export function calculateAge(birthDateStr) {
const birthDate = new Date(birthDateStr);
const today = new Date();
let age = today.getFullYear() - birthDate.getFullYear();
const monthDiff = today.getMonth() - birthDate.getMonth();
if (monthDiff < 0 || (monthDiff === 0 && today.getDate() < birthDate.getDate())) {
age--;
}
return age;
}
$$;
Worker Management for UDFs
In Databend Cloud, each UDF has an associated Worker that manages its execution environment in the sandbox. After creating a UDF, you may need to manage its worker for optimal performance and resource utilization.
Creating a Worker for Your UDF
-- Create a worker for your UDF (worker name should match UDF name)
CREATE WORKER calculate_age_js WITH
size='small',
auto_suspend='300',
auto_resume='true';
Managing Worker Resources
-- View all workers
SHOW WORKERS;
-- Adjust worker settings
ALTER WORKER calculate_age_js SET size='medium', auto_suspend='600';
-- Add tags for organization
ALTER WORKER calculate_age_js SET TAG
environment='production',
team='analytics',
purpose='age-calculation';
Worker Lifecycle
-- Suspend worker when not in use
ALTER WORKER calculate_age_js SUSPEND;
-- Resume worker when needed
ALTER WORKER calculate_age_js RESUME;
-- Remove worker when UDF is no longer needed
DROP WORKER calculate_age_js;
Environment Variables
For security reasons, environment variables for UDFs are managed separately in the cloud console. After creating a UDF and its worker, configure any required environment variables through the Databend Cloud interface.
For more information, see Worker Management.