9.21. Window函式
_Window functions_provide the ability to perform calculations across sets of rows that are related to the current query row. SeeSection 3.5for an introduction to this feature, andSection 4.2.8for syntax details.
The built-in window functions are listed inTable 9.57. Note that these functions_must_be invoked using window function syntax, i.e., anOVER
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; seeSection 9.20for a list of the built-in aggregates. Aggregate functions act as window functions only when anOVER
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
Function | Return Type | Description |
|
| number of the current row within its partition, counting from 1 |
|
| rank of the current row with gaps; same as |
|
| rank of the current row without gaps; this function counts peer groups |
|
| relative rank of the current row: ( |
|
| cumulative distribution: (number of partition rows preceding or peer with current row) / total partition rows |
|
| integer ranging from 1 to the argument value, dividing the partition as equally as possible |
|
| returns |
|
| returns |
|
| returns_ |
|
| returns_ |
|
| returns |
All of the functions listed inTable 9.57depend on the sort ordering specified by theORDER BY
clause of the associated window definition. Rows that are not distinct when considering only theORDER BY
columns are said to bepeers. The four ranking functions (includingcume_dist
) are defined so that they give the same answer for all peer rows.
Note thatfirst_value
,last_value
, andnth_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 forlast_value
and sometimes alsonth_value
. You can redefine the frame by adding a suitable frame specification (RANGE
orROWS
) to theOVER
clause. SeeSection 4.2.8for 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 withORDER 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, omitORDER BY
or useROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
. Other frame specifications can be used to obtain other effects.
Note
The SQL standard defines aRESPECT NULLS
orIGNORE NULLS
option forlead
,lag
,first_value
,last_value
, andnth_value
. This is not implemented inPostgreSQL: the behavior is always the same as the standard's default, namelyRESPECT NULLS
. Likewise, the standard'sFROM FIRST
orFROM LAST
option fornth_value
is not implemented: only the defaultFROM FIRST
behavior is supported. (You can achieve the result ofFROM LAST
by reversing theORDER BY
ordering.)
cume_dist
computes the fraction of partition rows that are less than or equal to the current row and its peers, whilepercent_rank
computes the fraction of partition rows that are less than the current row, assuming the current row does not exist in the partition.
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