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Showing content from https://docs.databricks.com/aws/en/sql/language-manual/sql-ref-syntax-ddl-create-sql-function below:

CREATE FUNCTION (SQL and Python)

CREATE FUNCTION (SQL and Python)

Applies to: Databricks SQL Databricks Runtime

Creates a SQL scalar or table function that takes a set of arguments and returns a scalar value or a set of rows.

Applies to: Databricks SQL Databricks Runtime 13.3 LTS and above

Creates a Python scalar function that takes a set of arguments and returns a scalar value.

Python UDFs require Unity Catalog on serverless or pro SQL warehouses, or a Unity Catalog-enabled compute resource.

Applies to: Databricks SQL Databricks Runtime 14.1 and above

In addition to positional parameter invocation, you can also invoke SQL and Python UDF using named parameter invocation.

Applies to: Databricks SQL Databricks Runtime 16.2 and above

Use the ENVIRONMENT clause to specify the Python environment for a function declared with LANGUAGE PYTHON. Used to install custom dependencies and set the environment version.

Syntax​ 
CREATE [OR REPLACE] [TEMPORARY] FUNCTION [IF NOT EXISTS]
    function_name ( [ function_parameter [, ...] ] )
    { [ RETURNS data_type ] |
      RETURNS TABLE [ ( column_spec [, ...]) ] }
    [ characteristic [...] ]
    { AS dollar_quoted_string | RETURN { expression | query } }

function_parameter
    parameter_name data_type [DEFAULT default_expression] [COMMENT parameter_comment]

column_spec
    column_name data_type [COMMENT column_comment]

characteristic
  { LANGUAGE { SQL | PYTHON } |
    [NOT] DETERMINISTIC |
    COMMENT function_comment |
    [CONTAINS SQL | READS SQL DATA] |
    DEFAULT COLLATION default_collation_name } |
    environment }

environment
  ENVIRONMENT ( { environment_key = environment_value } [, ...] )
Parameters​ Supported Libraries in Python UDFs​

To use any dependencies, use import <package> within the function body. For example, see the following:

SQL

CREATE FUNCTION […]
AS $$
   import json
   [... (rest of function definition)]
$$

By default, dependencies are limited to the standard Python library and the following libraries:

Custom dependencies in Python UDFs​

To use additional dependencies beyond the standard library and the supported built-in packages, specify them in the ENVIRONMENT clause.

Examples​ Create and use a SQL scalar function​

SQL

> CREATE VIEW t(c1, c2) AS VALUES (0, 1), (1, 2);

SQL


> CREATE TEMPORARY FUNCTION hello() RETURNS STRING
    RETURN 'Hello World!';

> SELECT hello();
  Hello World!


> CREATE FUNCTION area(x DOUBLE, y DOUBLE) RETURNS DOUBLE RETURN x * y;


> SELECT area(c1, c2) AS area FROM t;
 0.0
 2.0


> SELECT * FROM t WHERE area(c1, c2) > 0;
 1  2


> CREATE FUNCTION square(x DOUBLE) RETURNS DOUBLE RETURN area(x, x);

> SELECT c1, square(c1) AS square FROM t;
  0  0.0
  1  1.0


> CREATE FUNCTION roll_dice()
    RETURNS INT
    NOT DETERMINISTIC
    CONTAINS SQL
    COMMENT 'Roll a single 6 sided die'
    RETURN (rand() * 6)::INT + 1;

> SELECT roll_dice();
 3
Create and use a function that uses DEFAULTs​

SQL



> DROP FUNCTION roll_dice;
> CREATE FUNCTION roll_dice(num_dice  INT DEFAULT 1 COMMENT 'number of dice to roll (Default: 1)',
                            num_sides INT DEFAULT 6 COMMENT 'number of sides per die (Default: 6)')
    RETURNS INT
    NOT DETERMINISTIC
    CONTAINS SQL
    COMMENT 'Roll a number of n-sided dice'
    RETURN aggregate(sequence(1, roll_dice.num_dice, 1),
                     0,
                     (acc, x) -> (rand() * roll_dice.num_sides)::int,
                     acc -> acc + roll_dice.num_dice);


> SELECT roll_dice();
 3


> SELECT roll_dice(3);
 15


> SELECT roll_dice(3, 10)
 21


> SELECT roll_dice(10 => num_sides, num_dice => 3)
 17


> CREATE VIEW scores(player, score) AS VALUES (0, 1), (0, 2), (1, 2), (1, 5);

> CREATE FUNCTION avg_score(p INT) RETURNS FLOAT
    COMMENT 'get an average score of the player'
    RETURN SELECT AVG(score) FROM scores WHERE player = p;

> SELECT c1, avg_score(c1) FROM t;
 0  1.5
 1  3.5
Create a SQL table function​

SQL


> CREATE FUNCTION weekdays(start DATE, end DATE)
    RETURNS TABLE(day_of_week STRING, day DATE)
    RETURN SELECT extract(DAYOFWEEK_ISO FROM day), day
             FROM (SELECT sequence(weekdays.start, weekdays.end)) AS T(days)
                  LATERAL VIEW explode(days) AS day
             WHERE extract(DAYOFWEEK_ISO FROM day) BETWEEN 1 AND 5;


> SELECT weekdays.day_of_week, day
    FROM weekdays(DATE'2022-01-01', DATE'2022-01-14');
  1     2022-01-03
  2     2022-01-04
  3     2022-01-05
  4     2022-01-06
  5     2022-01-07
  1     2022-01-10
  2     2022-01-11
  3     2022-01-12
  4     2022-01-13
  5     2022-01-14


> SELECT weekdays.*
    FROM VALUES (DATE'2020-01-01'),
                (DATE'2021-01-01'),
                (DATE'2022-01-01') AS starts(start),
         LATERAL weekdays(start, start + INTERVAL '7' DAYS);
  3     2020-01-01
  4     2020-01-02
  5     2020-01-03
  1     2020-01-06
  2     2020-01-07
  3     2020-01-08
  5     2021-01-01
  1     2021-01-04
  2     2021-01-05
  3     2021-01-06
  4     2021-01-07
  5     2021-01-08
  1     2022-01-03
  2     2022-01-04
  3     2022-01-05
  4     2022-01-06
  5     2022-01-07
Replace a SQL function​

SQL


> CREATE OR REPLACE FUNCTION square(x DOUBLE) RETURNS DOUBLE RETURN x * x;


> CREATE OR REPLACE FUNCTION getemps(deptno INT)
    RETURNS TABLE (name STRING)
    RETURN SELECT name FROM employee e WHERE e.deptno = getemps.deptno;


> DESCRIBE FUNCTION getemps;
 Function: default.getemps
 Type:     TABLE
 Input:    deptno INT
 Returns:  id   INT
           name STRING

note

You cannot replace an existing function with a different signature.

Describe a SQL function​

SQL

> DESCRIBE FUNCTION hello;
 Function: hello
 Type:     SCALAR
 Input:    ()
 Returns:  STRING

> DESCRIBE FUNCTION area;
 Function: default.area
 Type:     SCALAR
 Input:    x DOUBLE
           y DOUBLE
 Returns:  DOUBLE

> DESCRIBE FUNCTION roll_dice;
 Function: default.roll_dice
 Type:     SCALAR
 Input:    num_dice  INT
           num_sides INT
 Returns:  INT

> DESCRIBE FUNCTION EXTENDED roll_dice;
 Function:      default.roll_dice
 Type:          SCALAR
 Input:         num_dice  INT DEFAULT 1 'number of dice to roll (Default: 1)'
                num_sides INT DEFAULT 6 'number of sides per dice (Default: 6)'
 Returns:       INT
 Comment:       Roll a number of m-sided dice
 Deterministic: false
 Data Access:   CONTAINS SQL
 Configs:       ...
 Owner:         the.house@always.wins
 Create Time:   Sat Feb 12 09:29:02 PST 2022
 Body:          aggregate(sequence(1, roll_dice.num_dice, 1),
                      0,
                      (acc, x) -> (rand() * roll_dice.num_sides)::int,
                      acc -> acc + roll_dice.num_dice)
Create Python functions​

SQL

—- Hello World-like functionality using Python UDFs
> CREATE FUNCTION main.default.greet(s STRING)
  RETURNS STRING
  LANGUAGE PYTHON
  AS $$
    def greet(name):
      return "Hello " + name + "!"

    return greet(s) if s else None
  $$

—- Can import functions from std library and environment
> CREATE FUNCTION main.default.isleapyear(year INT)
  RETURNS BOOLEAN
  LANGUAGE PYTHON
  AS $$
    import calendar
    return calendar.isleap(year) if year else None
  $$

—- Must return the correct type. Otherwise will fail at runtime.
> CREATE FUNCTION main.default.a_number()
  RETURNS INTEGER
  LANGUAGE PYTHON
  AS $$
    
    
    return 10
  $$

—- Deal with exceptions.
> CREATE FUNCTION main.default.custom_divide(n1 INT, n2 INT)
  RETURNS FLOAT
  LANGUAGE PYTHON
  AS $$
    try:
      return n1/n2
    except ZeroDivisionException:
    
    return None
  $$
Define custom dependencies in Python functions​

SQL


> CREATE FUNCTION main.default.dump_json(data STRING)
    RETURNS STRING
    LANGUAGE PYTHON
    ENVIRONMENT (
      dependencies = '["simplejson==3.19.3", "/Volumes/my_catalog/my_schema/my_volume/packages/custom_package-1.0.0.whl", "https://my-bucket.s3.amazonaws.com/packages/special_package-2.0.0.whl?Expires=2043167927&Signature=abcd"]',
      environment_version = 'None'
    )
    AS $$
      import simplejson as json
      import custom_package
      return json.dumps(custom_package.process(data))
    $$;


> SELECT dump_json('{"foo": "bar"}');
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