Skip to main content

FIRST_VALUE

Introduced or updated: v1.2.697

Returns the first value in the window frame.

See also:

Syntax

FIRST_VALUE (expression) [ { IGNORE | RESPECT } NULLS ] OVER ([PARTITION BY partition_expression] ORDER BY order_expression [window_frame])
  • [ { IGNORE | RESPECT } NULLS ]: Controls how NULL values are handled within the window function.

    • By default, RESPECT NULLS is used, meaning NULL values are included in the calculation and affect the result.
    • When set to IGNORE NULLS, NULL values are excluded from consideration, and the function operates only on non-NULL values.
    • If all values in the window frame are NULL, the function returns NULL even when IGNORE NULLS is specified.
  • For the syntax of window frame, see Window Frame Syntax.

Examples

CREATE TABLE employees (
employee_id INT,
first_name VARCHAR(50),
last_name VARCHAR(50),
salary DECIMAL(10,2)
);

INSERT INTO employees (employee_id, first_name, last_name, salary)
VALUES
(1, 'John', 'Doe', 5000.00),
(2, 'Jane', 'Smith', 6000.00),
(3, 'David', 'Johnson', 5500.00),
(4, 'Mary', 'Williams', 7000.00),
(5, 'Michael', 'Brown', 4500.00);

-- Use FIRST_VALUE to retrieve the first name of the employee with the highest salary
SELECT employee_id, first_name, last_name, salary,
FIRST_VALUE(first_name) OVER (ORDER BY salary DESC) AS highest_salary_first_name
FROM employees;


employee_id | first_name | last_name | salary | highest_salary_first_name
------------+------------+-----------+---------+--------------------------
4 | Mary | Williams | 7000.00 | Mary
2 | Jane | Smith | 6000.00 | Mary
3 | David | Johnson | 5500.00 | Mary
1 | John | Doe | 5000.00 | Mary
5 | Michael | Brown | 4500.00 | Mary

This example excludes the NULL values from the window frame with the IGNORE NULLS option:

CREATE or replace TABLE example AS SELECT * FROM (VALUES
(0, 1, 614),
(1, 1, null),
(2, 1, null),
(3, 1, 639),
(4, 1, 2027)
) tbl(id, user_id, order_id);


SELECT
id,
user_id,
order_id,
FIRST_VALUE (order_id) IGNORE nulls over (
PARTITION BY user_id
ORDER BY
id ROWS BETWEEN 1 PRECEDING AND UNBOUNDED FOLLOWING
) AS last_order_id
FROM
example

┌───────────────────────────────────────────────────────┐
│ id │ user_id │ order_id │ last_order_id │
├───────┼─────────┼──────────────────┼──────────────────┤
01614614
11NULL614
21NULL639
31639639
412027639
└───────────────────────────────────────────────────────┘
Explore Databend Cloud for FREE
Low-cost
Fast Analytics
Easy Data Ingestion
Elastic Scaling
Try it today