WINDOW clause

Applies to: check marked yes Databricks SQL check marked yes Databricks Runtime

The window clause allows you to define and name one or more distinct window specifications once and share them across many window functions within the same query.

Syntax 

WINDOW { window_name AS window_spec } [, ...]

Parameters

  • window_name

    An identifier by which the window specification can be referenced. The identifier must be unique within the WINDOW clause.

  • window_spec

    A window specification to be shared across one or more window functions.

Examples 

> CREATE TABLE employees
   (name STRING, dept STRING, salary INT, age INT);
> INSERT INTO employees
   VALUES ('Lisa', 'Sales', 10000, 35),
          ('Evan', 'Sales', 32000, 38),
          ('Fred', 'Engineering', 21000, 28),
          ('Alex', 'Sales', 30000, 33),
          ('Tom', 'Engineering', 23000, 33),
          ('Jane', 'Marketing', 29000, 28),
          ('Jeff', 'Marketing', 35000, 38),
          ('Paul', 'Engineering', 29000, 23),
          ('Chloe', 'Engineering', 23000, 25);

> SELECT round(avg(age) OVER win, 1) AS salary,
         round(avg(salary) OVER win, 1) AS avgsalary,
         min(salary) OVER win AS minsalary,
         max(salary) OVER win AS maxsalary,
         count(1) OVER win AS numEmps
    FROM employees
    WINDOW win AS (ORDER BY age
                   ROWS BETWEEN 2 PRECEDING AND 2 FOLLOWING);
25.3    27000.0 23000   29000   3
26.0    25500.0 21000   29000   4
27.4    25000.0 21000   29000   5
29.4    25200.0 21000   30000   5
31.4    22600.0 10000   30000   5
33.4    23800.0 10000   35000   5
35.4    26000.0 10000   35000   5
36.0    26750.0 10000   35000   4
37.0    25666.7 10000   35000   3