9.21. Window Functions
Window functions provide the ability to perform calculations across sets of rows that are related to the current query row. See Section 3.5 for an introduction to this feature, and Section 4.2.8 for syntax details.
The built-in window functions are listed in Table 9.57. Note that these functions must be invoked using window function syntax, i.e., an
OVER clause is required.
In addition to these functions, any built-in or user-defined general-purpose or statistical aggregate (i.e., not ordered-set or hypothetical-set aggregates) can be used as a window function; see Section 9.20 for a list of the built-in aggregates. Aggregate functions act as window functions only when an
OVER clause follows the call; otherwise they act as non-window aggregates and return a single row for the entire set.
Table 9.57. General-Purpose Window Functions
All of the functions listed in Table 9.57 depend on the sort ordering specified by the
ORDER BY clause of the associated window definition. Rows that are not distinct when considering only the
ORDER BY columns are said to be peers. The four ranking functions (including
cume_dist) are defined so that they give the same answer for all peer rows.
nth_value consider only the rows within the “window frame”, which by default contains the rows from the start of the partition through the last peer of the current row. This is likely to give unhelpful results for
last_value and sometimes also
nth_value. You can redefine the frame by adding a suitable frame specification (
ROWS) to the
OVER clause. See Section 4.2.8 for more information about frame specifications.
When an aggregate function is used as a window function, it aggregates over the rows within the current row's window frame. An aggregate used with
ORDER BY and the default window frame definition produces a “running sum” type of behavior, which may or may not be what's wanted. To obtain aggregation over the whole partition, omit
ORDER BY or use
ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING. Other frame specifications can be used to obtain other effects.
The SQL standard defines a
RESPECT NULLS or
IGNORE NULLS option for
nth_value. This is not implemented in Postgres Pro: the behavior is always the same as the standard's default, namely
RESPECT NULLS. Likewise, the standard's
FROM FIRST or
FROM LAST option for
nth_value is not implemented: only the default
FROM FIRST behavior is supported. (You can achieve the result of
FROM LAST by reversing the
ORDER BY ordering.)
cume_dist computes the fraction of partition rows that are less than or equal to the current row and its peers, while
percent_rank computes the fraction of partition rows that are less than the current row, assuming the current row does not exist in the partition.