The specific function that is referenced by a function call is determined using the following procedure.
Function Type Resolution
Select the functions to be considered from the
pg_proc system catalog. If a
non-schema-qualified function name was used, the functions
considered are those with the matching name and argument count that
are visible in the current search path (see Section 5.8.3). If a
qualified function name was given, only functions in the specified
schema are considered.
If the search path finds multiple functions of identical argument types, only the one appearing earliest in the path is considered. Functions of different argument types are considered on an equal footing regardless of search path position.
If a function is declared with a
VARIADIC array parameter, and the call does not
VARIADIC keyword, then the
function is treated as if the array parameter were replaced by one
or more occurrences of its element type, as needed to match the
call. After such expansion the function might have effective
argument types identical to some non-variadic function. In that
case the function appearing earlier in the search path is used, or
if the two functions are in the same schema, the non-variadic one
This creates a security hazard when calling, via qualified name
, a variadic
function found in a schema that permits untrusted users to create
objects. A malicious user can take control and execute arbitrary
SQL functions as though you executed them. Substitute a call
VARIADIC keyword, which
bypasses this hazard. Calls populating
VARIADIC "any" parameters often have no equivalent
formulation containing the
keyword. To issue those calls safely, the function's schema must
permit only trusted users to create objects.
Functions that have default values for parameters are considered to match any call that omits zero or more of the defaultable parameter positions. If more than one such function matches a call, the one appearing earliest in the search path is used. If there are two or more such functions in the same schema with identical parameter types in the non-defaulted positions (which is possible if they have different sets of defaultable parameters), the system will not be able to determine which to prefer, and so an “ambiguous function call” error will result if no better match to the call can be found.
This creates an availability hazard when calling, via qualified name, any function found in a schema that permits untrusted users to create objects. A malicious user can create a function with the name of an existing function, replicating that function's parameters and appending novel parameters having default values. This precludes new calls to the original function. To forestall this hazard, place functions in schemas that permit only trusted users to create objects.
Check for a function accepting exactly the input argument types.
If one exists (there can be only one exact match in the set of
functions considered), use it. Lack of an exact match creates a
security hazard when calling, via qualified name, a function
found in a schema that permits untrusted users to create objects.
In such situations, cast arguments to force an exact match. (Cases
unknown will never find a match
at this step.)
If no exact match is found, see if the function call appears to
be a special type conversion request. This happens if the function
call has just one argument and the function name is the same as the
(internal) name of some data type. Furthermore, the function
argument must be either an unknown-type literal, or a type that is
binary-coercible to the named data type, or a type that could be
converted to the named data type by applying that type's I/O
functions (that is, the conversion is either to or from one of the
standard string types). When these conditions are met, the function
call is treated as a form of
Look for the best match.
Discard candidate functions for which the input types do not
match and cannot be converted (using an implicit conversion) to
unknown literals are assumed to be
convertible to anything for this purpose. If only one candidate
remains, use it; else continue to the next step.
If any input argument is of a domain type, treat it as being of the domain's base type for all subsequent steps. This ensures that domains act like their base types for purposes of ambiguous-function resolution.
Run through all candidates and keep those with the most exact matches on input types. Keep all candidates if none have exact matches. If only one candidate remains, use it; else continue to the next step.
Run through all candidates and keep those that accept preferred types (of the input data type's type category) at the most positions where type conversion will be required. Keep all candidates if none accept preferred types. If only one candidate remains, use it; else continue to the next step.
If any input arguments are
check the type categories accepted at those argument positions by
the remaining candidates. At each position, select the
string category if any candidate accepts that
category. (This bias towards string is appropriate since an
unknown-type literal looks like a string.) Otherwise, if all the
remaining candidates accept the same type category, select that
category; otherwise fail because the correct choice cannot be
deduced without more clues. Now discard candidates that do not
accept the selected type category. Furthermore, if any candidate
accepts a preferred type in that category, discard candidates that
accept non-preferred types for that argument. Keep all candidates
if none survive these tests. If only one candidate remains, use it;
else continue to the next step.
If there are both
known-type arguments, and all the known-type arguments have the
same type, assume that the
arguments are also of that type, and check which candidates can
accept that type at the
positions. If exactly one candidate passes this test, use it.
Note that the “best match” rules are identical for operator and function type resolution. Some examples follow.
Example 10.6. Rounding Function Argument Type Resolution
There is only one
that takes two arguments; it takes a first argument of type
numeric and a second argument of type
integer. So the following query
automatically converts the first argument of type
SELECT round(4, 4); round -------- 4.0000 (1 row)
That query is actually transformed by the parser to:
SELECT round(CAST (4 AS numeric), 4);
Since numeric constants with decimal points are initially
assigned the type
numeric, the following
query will require no type conversion and therefore might be
slightly more efficient:
SELECT round(4.0, 4);
Example 10.7. Variadic Function Resolution
CREATE FUNCTION public.variadic_example(VARIADIC numeric) RETURNS int LANGUAGE sql AS 'SELECT 1'; CREATE FUNCTION
This function accepts, but does not require, the VARIADIC keyword. It tolerates both integer and numeric arguments:
SELECT public.variadic_example(0), public.variadic_example(0.0), public.variadic_example(VARIADIC array[0.0]); variadic_example | variadic_example | variadic_example ------------------+------------------+------------------ 1 | 1 | 1 (1 row)
However, the first and second calls will prefer more-specific functions, if available:
CREATE FUNCTION public.variadic_example(numeric) RETURNS int LANGUAGE sql AS 'SELECT 2'; CREATE FUNCTION CREATE FUNCTION public.variadic_example(int) RETURNS int LANGUAGE sql AS 'SELECT 3'; CREATE FUNCTION SELECT public.variadic_example(0), public.variadic_example(0.0), public.variadic_example(VARIADIC array[0.0]); variadic_example | variadic_example | variadic_example ------------------+------------------+------------------ 3 | 2 | 1 (1 row)
Given the default configuration and only the first function
existing, the first and second calls are insecure. Any user could
intercept them by creating the second or third function. By
matching the argument type exactly and using the
VARIADIC keyword, the third call is secure.
Example 10.8. Substring Function Type Resolution
There are several
functions, one of which takes types
integer. If called with a string
constant of unspecified type, the system chooses the candidate
function that accepts an argument of the preferred category
string (namely of type
SELECT substr('1234', 3); substr -------- 34 (1 row)
If the string is declared to be of type
varchar, as might be the case if it comes from a
table, then the parser will try to convert it to become
SELECT substr(varchar '1234', 3); substr -------- 34 (1 row)
This is transformed by the parser to effectively become:
SELECT substr(CAST (varchar '1234' AS text), 3);
The parser learns from the
pg_cast catalog that
binary-compatible, meaning that one can be passed to a function
that accepts the other without doing any physical conversion.
Therefore, no type conversion call is really inserted in this
And, if the function is called with an argument of type
integer, the parser will try to convert
SELECT substr(1234, 3); ERROR: function substr(integer, integer) does not exist HINT: No function matches the given name and argument types. You might need to add explicit type casts.
This does not work because
does not have an implicit cast to
An explicit cast will work, however:
SELECT substr(CAST (1234 AS text), 3); substr -------- 34 (1 row)
 The reason for this step is to support function-style cast specifications in cases where there is not an actual cast function. If there is a cast function, it is conventionally named after its output type, and so there is no need to have a special case. See CREATE CAST for additional commentary.
If you see anything in the documentation that is not correct, does not match your experience with the particular feature or requires further clarification, please use this form to report a documentation issue.