PostgreSQL Reference Manual - Volume 1 - SQL Language Referenceby The PostgreSQL Global Development Group Paperback (6"x9"), 716 pages ISBN 0954612027 RRP £32.00 ($49.95) Sales of this book support the PostgreSQL project! Get a printed copy>>> |

## 12.29 CREATE AGGREGATE

### Name

CREATE AGGREGATE -- define a new aggregate function

### Synopsis

CREATE AGGREGATEname(input_data_type[ , ... ] ) ( SFUNC =sfunc, STYPE =state_data_type[ , FINALFUNC =ffunc] [ , INITCOND =initial_condition] [ , SORTOP =sort_operator] ) or the old syntax CREATE AGGREGATEname( BASETYPE =base_type, SFUNC =sfunc, STYPE =state_data_type[ , FINALFUNC =ffunc] [ , INITCOND =initial_condition] [ , SORTOP =sort_operator] )

### Description

`CREATE AGGREGATE`

defines a new aggregate
function. Some basic and commonly-used aggregate functions are
included with the distribution; they are documented in section 7.15 Aggregate Functions. If one defines new types or needs
an aggregate function not already provided, then ```
CREATE
AGGREGATE
```

can be used to provide the desired features.

If a schema name is given (for example, ```
CREATE AGGREGATE
myschema.myagg ...
```

) then the aggregate function is created in the
specified schema. Otherwise it is created in the current schema.

An aggregate function is identified by its name and input data type(s). Two aggregates in the same schema can have the same name if they operate on different input types. The name and input data type(s) of an aggregate must also be distinct from the name and input data type(s) of every ordinary function in the same schema.

An aggregate function is made from one or two ordinary
functions:
a state transition function
`sfunc`,
and an optional final calculation function
`ffunc`.
These are used as follows:

sfunc( internal-state, next-data-values ) ---> next-internal-state ffunc( internal-state ) ---> aggregate-value

PostgreSQL creates a temporary variable
of data type `stype`
to hold the current internal state of the aggregate. At each input row,
the aggregate argument value(s) are calculated and
the state transition function is invoked with the current state value
and the new argument value(s) to calculate a new
internal state value. After all the rows have been processed,
the final function is invoked once to calculate the aggregate's return
value. If there is no final function then the ending state value
is returned as-is.

An aggregate function may provide an initial condition,
that is, an initial value for the internal state value.
This is specified and stored in the database as a value of type
`text`

, but it must be a valid external representation
of a constant of the state value data type. If it is not supplied
then the state value starts out null.

If the state transition function is declared “strict”,
then it cannot be called with null inputs. With such a transition
function, aggregate execution behaves as follows. Rows with any null input
values are ignored (the function is not called and the previous state value
is retained). If the initial state value is null, then at the first row
with all-nonnull input values, the first argument value replaces the state
value, and the transition function is invoked at subsequent rows with
all-nonnull input values.
This is handy for implementing aggregates like `max`

.
Note that this behavior is only available when
`state_data_type`
is the same as the first
`input_data_type`.
When these types are different, you must supply a nonnull initial
condition or use a nonstrict transition function.

If the state transition function is not strict, then it will be called unconditionally at each input row, and must deal with null inputs and null transition values for itself. This allows the aggregate author to have full control over the aggregate's handling of null values.

If the final function is declared “strict”, then it will not
be called when the ending state value is null; instead a null result
will be returned automatically. (Of course this is just the normal
behavior of strict functions.) In any case the final function has
the option of returning a null value. For example, the final function for
`avg`

returns null when it sees there were zero
input rows.

Aggregates that behave like `MIN`

or `MAX`

can
sometimes be optimized by looking into an index instead of scanning every
input row. If this aggregate can be so optimized, indicate it by
specifying a *sort operator*. The basic requirement is that
the aggregate must yield the first element in the sort ordering induced by
the operator; in other words

SELECT agg(col) FROM tab;

must be equivalent to

SELECT col FROM tab ORDER BY col USING sortop LIMIT 1;

Further assumptions are that the aggregate ignores null inputs, and that
it delivers a null result if and only if there were no non-null inputs.
Ordinarily, a data type's `<`

operator is the proper sort
operator for `MIN`

, and `>`

is the proper sort
operator for `MAX`

. Note that the optimization will never
actually take effect unless the specified operator is the “less
than” or “greater than” strategy member of a B-tree
index operator class.

### Parameters

`name`- The name (optionally schema-qualified) of the aggregate function to create.
`input_data_type`-
An input data type on which this aggregate function operates.
To create a zero-argument aggregate function, write
`*`

in place of the list of input data types. (An example of such an aggregate is`count(*)`

.) `base_type`-
In the old syntax for
`CREATE AGGREGATE`

, the input data type is specified by a`basetype`

parameter rather than being written next to the aggregate name. Note that this syntax allows only one input parameter. To define a zero-argument aggregate function, specify the`basetype`

as`"ANY"`

(not`*`

). `sfunc`-
The name of the state transition function to be called for each
input row. For an
`N`-argument aggregate function, the`sfunc`must take`N`+1 arguments, the first being of type`state_data_type`and the rest matching the declared input data type(s) of the aggregate. The function must return a value of type`state_data_type`. This function takes the current state value and the current input data value(s), and returns the next state value. `state_data_type`- The data type for the aggregate's state value.
`ffunc`-
The name of the final function called to compute the aggregate's
result after all input rows have been traversed. The function
must take a single argument of type
`state_data_type`. The return data type of the aggregate is defined as the return type of this function. If`ffunc`is not specified, then the ending state value is used as the aggregate's result, and the return type is`state_data_type`. `initial_condition`-
The initial setting for the state value. This must be a string
constant in the form accepted for the data type
`state_data_type`. If not specified, the state value starts out null. `sort_operator`-
The associated sort operator for a
`MIN`

- or`MAX`

-like aggregate. This is just an operator name (possibly schema-qualified). The operator is assumed to have the same input data types as the aggregate (which must be a single-argument aggregate).

The parameters of `CREATE AGGREGATE`

can be
written in any order, not just the order illustrated above.

### Examples

See Volume 2: User-Defined Aggregates.

### Compatibility

`CREATE AGGREGATE`

is a
PostgreSQL language extension. The SQL
standard does not provide for user-defined aggregate functions.

### See Also

`ALTER AGGREGATE`

, `DROP AGGREGATE`

ISBN 0954612027 | PostgreSQL Reference Manual - Volume 1 - SQL Language Reference | See the print edition |