function user-defined PostgreSQL provides four kinds of functions: query language functions (functions written in SQL) () procedural language functions (functions written in, for example, PL/pgSQL or PL/Tcl) () internal functions () C-language functions () Every kind of function can take base types, composite types, or combinations of these as arguments (parameters). In addition, every kind of function can return a base type or a composite type. Functions may also be defined to return sets of base or composite values. Many kinds of functions can take or return certain pseudo-types (such as polymorphic types), but the available facilities vary. Consult the description of each kind of function for more details. It's easiest to define SQL functions, so we'll start by discussing those. Most of the concepts presented for SQL functions will carry over to the other types of functions. Throughout this chapter, it can be useful to look at the reference page of the command to understand the examples better. Some examples from this chapter can be found in funcs.sql and funcs.c in the src/tutorial directory in the PostgreSQL source distribution. function user-defined in SQL SQL functions execute an arbitrary list of SQL statements, returning the result of the last query in the list. In the simple (non-set) case, the first row of the last query's result will be returned. (Bear in mind that the first row of a multirow result is not well-defined unless you use ORDER BY.) If the last query happens to return no rows at all, the null value will be returned. SETOFfunction Alternatively, an SQL function may be declared to return a set, by specifying the function's return type as SETOF sometype.SETOF In this case all rows of the last query's result are returned. Further details appear below. The body of an SQL function must be a list of SQL statements separated by semicolons. A semicolon after the last statement is optional. Unless the function is declared to return void, the last statement must be a SELECT. Any collection of commands in the SQL language can be packaged together and defined as a function. Besides SELECT queries, the commands can include data modification queries (INSERT, UPDATE, and DELETE), as well as other SQL commands. (The only exception is that you can't put BEGIN, COMMIT, ROLLBACK, or SAVEPOINT commands into a SQL function.) However, the final command must be a SELECT that returns whatever is specified as the function's return type. Alternatively, if you want to define a SQL function that performs actions but has no useful value to return, you can define it as returning void. In that case, the function body must not end with a SELECT. For example, this function removes rows with negative salaries from the emp table: CREATE FUNCTION clean_emp() RETURNS void AS ' DELETE FROM emp WHERE salary < 0; ' LANGUAGE SQL; SELECT clean_emp(); clean_emp ----------- (1 row) The syntax of the CREATE FUNCTION command requires the function body to be written as a string constant. It is usually most convenient to use dollar quoting (see ) for the string constant. If you choose to use regular single-quoted string constant syntax, you must escape single quote marks (') and backslashes (\) used in the body of the function, typically by doubling them (see ). Arguments to the SQL function are referenced in the function body using the syntax $n: $1 refers to the first argument, $2 to the second, and so on. If an argument is of a composite type, then the dot notation, e.g., $1.name, may be used to access attributes of the argument. The simplest possible SQL function has no arguments and simply returns a base type, such as integer: CREATE FUNCTION one() RETURNS integer AS $$ SELECT 1 AS result; $$ LANGUAGE SQL; -- Alternative syntax for string literal: CREATE FUNCTION one() RETURNS integer AS ' SELECT 1 AS result; ' LANGUAGE SQL; SELECT one(); one ----- 1 Notice that we defined a column alias within the function body for the result of the function (with the name result), but this column alias is not visible outside the function. Hence, the result is labeled one instead of result. It is almost as easy to define SQL functions that take base types as arguments. In the example below, notice how we refer to the arguments within the function as $1 and $2. CREATE FUNCTION add_em(integer, integer) RETURNS integer AS $$ SELECT $1 + $2; $$ LANGUAGE SQL; SELECT add_em(1, 2) AS answer; answer -------- 3 Here is a more useful function, which might be used to debit a bank account: CREATE FUNCTION tf1 (integer, numeric) RETURNS integer AS $$ UPDATE bank SET balance = balance - $2 WHERE accountno = $1; SELECT 1; $$ LANGUAGE SQL; A user could execute this function to debit account 17 by $100.00 as follows: SELECT tf1(17, 100.0); In practice one would probably like a more useful result from the function than a constant 1, so a more likely definition is CREATE FUNCTION tf1 (integer, numeric) RETURNS numeric AS $$ UPDATE bank SET balance = balance - $2 WHERE accountno = $1; SELECT balance FROM bank WHERE accountno = $1; $$ LANGUAGE SQL; which adjusts the balance and returns the new balance. When writing functions with arguments of composite types, we must not only specify which argument we want (as we did above with $1 and $2) but also the desired attribute (field) of that argument. For example, suppose that emp is a table containing employee data, and therefore also the name of the composite type of each row of the table. Here is a function double_salary that computes what someone's salary would be if it were doubled: CREATE TABLE emp ( name text, salary numeric, age integer, cubicle point ); CREATE FUNCTION double_salary(emp) RETURNS numeric AS $$ SELECT $1.salary * 2 AS salary; $$ LANGUAGE SQL; SELECT name, double_salary(emp.*) AS dream FROM emp WHERE emp.cubicle ~= point '(2,1)'; name | dream ------+------- Bill | 8400 Notice the use of the syntax $1.salary to select one field of the argument row value. Also notice how the calling SELECT command uses * to select the entire current row of a table as a composite value. The table row can alternatively be referenced using just the table name, like this: SELECT name, double_salary(emp) AS dream FROM emp WHERE emp.cubicle ~= point '(2,1)'; but this usage is deprecated since it's easy to get confused. Sometimes it is handy to construct a composite argument value on-the-fly. This can be done with the ROW construct. For example, we could adjust the data being passed to the function: SELECT name, double_salary(ROW(name, salary*1.1, age, cubicle)) AS dream FROM emp; It is also possible to build a function that returns a composite type. This is an example of a function that returns a single emp row: CREATE FUNCTION new_emp() RETURNS emp AS $$ SELECT text 'None' AS name, 1000.0 AS salary, 25 AS age, point '(2,2)' AS cubicle; $$ LANGUAGE SQL; In this example we have specified each of the attributes with a constant value, but any computation could have been substituted for these constants. Note two important things about defining the function: The select list order in the query must be exactly the same as that in which the columns appear in the table associated with the composite type. (Naming the columns, as we did above, is irrelevant to the system.) You must typecast the expressions to match the definition of the composite type, or you will get errors like this: ERROR: function declared to return emp returns varchar instead of text at column 1 A different way to define the same function is: CREATE FUNCTION new_emp() RETURNS emp AS $$ SELECT ROW('None', 1000.0, 25, '(2,2)')::emp; $$ LANGUAGE SQL; Here we wrote a SELECT that returns just a single column of the correct composite type. This isn't really better in this situation, but it is a handy alternative in some cases — for example, if we need to compute the result by calling another function that returns the desired composite value. We could call this function directly in either of two ways: SELECT new_emp(); new_emp -------------------------- (None,1000.0,25,"(2,2)") SELECT * FROM new_emp(); name | salary | age | cubicle ------+--------+-----+--------- None | 1000.0 | 25 | (2,2) The second way is described more fully in . When you use a function that returns a composite type, you might want only one field (attribute) from its result. You can do that with syntax like this: SELECT (new_emp()).name; name ------ None The extra parentheses are needed to keep the parser from getting confused. If you try to do it without them, you get something like this: SELECT new_emp().name; ERROR: syntax error at or near "." at character 17 LINE 1: SELECT new_emp().name; ^ Another option is to use functional notation for extracting an attribute. The simple way to explain this is that we can use the notations attribute(table) and table.attribute interchangeably. SELECT name(new_emp()); name ------ None -- This is the same as: -- SELECT emp.name AS youngster FROM emp WHERE emp.age < 30; SELECT name(emp) AS youngster FROM emp WHERE age(emp) < 30; youngster ----------- Sam Andy The equivalence between functional notation and attribute notation makes it possible to use functions on composite types to emulate computed fields. computed field field computed For example, using the previous definition for double_salary(emp), we can write SELECT emp.name, emp.double_salary FROM emp; An application using this wouldn't need to be directly aware that double_salary isn't a real column of the table. (You can also emulate computed fields with views.) Another way to use a function returning a row result is to pass the result to another function that accepts the correct row type as input: CREATE FUNCTION getname(emp) RETURNS text AS $$ SELECT $1.name; $$ LANGUAGE SQL; SELECT getname(new_emp()); getname --------- None (1 row) Another way to use a function that returns a composite type is to call it as a table function, as described below. All SQL functions may be used in the FROM clause of a query, but it is particularly useful for functions returning composite types. If the function is defined to return a base type, the table function produces a one-column table. If the function is defined to return a composite type, the table function produces a column for each attribute of the composite type. Here is an example: CREATE TABLE foo (fooid int, foosubid int, fooname text); INSERT INTO foo VALUES (1, 1, 'Joe'); INSERT INTO foo VALUES (1, 2, 'Ed'); INSERT INTO foo VALUES (2, 1, 'Mary'); CREATE FUNCTION getfoo(int) RETURNS foo AS $$ SELECT * FROM foo WHERE fooid = $1; $$ LANGUAGE SQL; SELECT *, upper(fooname) FROM getfoo(1) AS t1; fooid | foosubid | fooname | upper -------+----------+---------+------- 1 | 1 | Joe | JOE (2 rows) As the example shows, we can work with the columns of the function's result just the same as if they were columns of a regular table. Note that we only got one row out of the function. This is because we did not use SETOF. That is described in the next section. When an SQL function is declared as returning SETOF sometype, the function's final SELECT query is executed to completion, and each row it outputs is returned as an element of the result set. This feature is normally used when calling the function in the FROM clause. In this case each row returned by the function becomes a row of the table seen by the query. For example, assume that table foo has the same contents as above, and we say: CREATE FUNCTION getfoo(int) RETURNS SETOF foo AS $$ SELECT * FROM foo WHERE fooid = $1; $$ LANGUAGE SQL; SELECT * FROM getfoo(1) AS t1; Then we would get: fooid | foosubid | fooname -------+----------+--------- 1 | 1 | Joe 1 | 2 | Ed (2 rows) Currently, functions returning sets may also be called in the select list of a query. For each row that the query generates by itself, the function returning set is invoked, and an output row is generated for each element of the function's result set. Note, however, that this capability is deprecated and may be removed in future releases. The following is an example function returning a set from the select list: CREATE FUNCTION listchildren(text) RETURNS SETOF text AS $$ SELECT name FROM nodes WHERE parent = $1 $$ LANGUAGE SQL; SELECT * FROM nodes; name | parent -----------+-------- Top | Child1 | Top Child2 | Top Child3 | Top SubChild1 | Child1 SubChild2 | Child1 (6 rows) SELECT listchildren('Top'); listchildren -------------- Child1 Child2 Child3 (3 rows) SELECT name, listchildren(name) FROM nodes; name | listchildren --------+-------------- Top | Child1 Top | Child2 Top | Child3 Child1 | SubChild1 Child1 | SubChild2 (5 rows) In the last SELECT, notice that no output row appears for Child2, Child3, etc. This happens because listchildren returns an empty set for those arguments, so no result rows are generated. SQL functions may be declared to accept and return the polymorphic types anyelement and anyarray. See for a more detailed explanation of polymorphic functions. Here is a polymorphic function make_array that builds up an array from two arbitrary data type elements: CREATE FUNCTION make_array(anyelement, anyelement) RETURNS anyarray AS $$ SELECT ARRAY[$1, $2]; $$ LANGUAGE SQL; SELECT make_array(1, 2) AS intarray, make_array('a'::text, 'b') AS textarray; intarray | textarray ----------+----------- {1,2} | {a,b} (1 row) Notice the use of the typecast 'a'::text to specify that the argument is of type text. This is required if the argument is just a string literal, since otherwise it would be treated as type unknown, and array of unknown is not a valid type. Without the typecast, you will get errors like this: ERROR: could not determine "anyarray"/"anyelement" type because input has type "unknown" It is permitted to have polymorphic arguments with a fixed return type, but the converse is not. For example: CREATE FUNCTION is_greater(anyelement, anyelement) RETURNS boolean AS $$ SELECT $1 > $2; $$ LANGUAGE SQL; SELECT is_greater(1, 2); is_greater ------------ f (1 row) CREATE FUNCTION invalid_func() RETURNS anyelement AS $$ SELECT 1; $$ LANGUAGE SQL; ERROR: cannot determine result data type DETAIL: A function returning "anyarray" or "anyelement" must have at least one argument of either type. overloading functions More than one function may be defined with the same SQL name, so long as the arguments they take are different. In other words, function names can be overloaded. When a query is executed, the server will determine which function to call from the data types and the number of the provided arguments. Overloading can also be used to simulate functions with a variable number of arguments, up to a finite maximum number. When creating a family of overloaded functions, one should be careful not to create ambiguities. For instance, given the functions CREATE FUNCTION test(int, real) RETURNS ... CREATE FUNCTION test(smallint, double precision) RETURNS ... it is not immediately clear which function would be called with some trivial input like test(1, 1.5). The currently implemented resolution rules are described in , but it is unwise to design a system that subtly relies on this behavior. A function that takes a single argument of a composite type should generally not have the same name as any attribute (field) of that type. Recall that attribute(table) is considered equivalent to table.attribute. In the case that there is an ambiguity between a function on a composite type and an attribute of the composite type, the attribute will always be used. It is possible to override that choice by schema-qualifying the function name (that is, schema.func(table)) but it's better to avoid the problem by not choosing conflicting names. When overloading C-language functions, there is an additional constraint: The C name of each function in the family of overloaded functions must be different from the C names of all other functions, either internal or dynamically loaded. If this rule is violated, the behavior is not portable. You might get a run-time linker error, or one of the functions will get called (usually the internal one). The alternative form of the AS clause for the SQL CREATE FUNCTION command decouples the SQL function name from the function name in the C source code. For instance, CREATE FUNCTION test(int) RETURNS int AS 'filename', 'test_1arg' LANGUAGE C; CREATE FUNCTION test(int, int) RETURNS int AS 'filename', 'test_2arg' LANGUAGE C; The names of the C functions here reflect one of many possible conventions. volatility functions Every function has a volatility classification, with the possibilities being VOLATILE, STABLE, or IMMUTABLE. VOLATILE is the default if the CREATE FUNCTION command does not specify a category. The volatility category is a promise to the optimizer about the behavior of the function: A VOLATILE function can do anything, including modifying the database. It can return different results on successive calls with the same arguments. The optimizer makes no assumptions about the behavior of such functions. A query using a volatile function will re-evaluate the function at every row where its value is needed. A STABLE function cannot modify the database and is guaranteed to return the same results given the same arguments for all calls within a single surrounding query. This category allows the optimizer to optimize away multiple calls of the function within a single query. In particular, it is safe to use an expression containing such a function in an index scan condition. (Since an index scan will evaluate the comparison value only once, not once at each row, it is not valid to use a VOLATILE function in an index scan condition.) An IMMUTABLE function cannot modify the database and is guaranteed to return the same results given the same arguments forever. This category allows the optimizer to pre-evaluate the function when a query calls it with constant arguments. For example, a query like SELECT ... WHERE x = 2 + 2 can be simplified on sight to SELECT ... WHERE x = 4, because the function underlying the integer addition operator is marked IMMUTABLE. For best optimization results, you should label your functions with the strictest volatility category that is valid for them. Any function with side-effects must be labeled VOLATILE, so that calls to it cannot be optimized away. Even a function with no side-effects needs to be labeled VOLATILE if its value can change within a single query; some examples are random(), currval(), timeofday(). There is relatively little difference between STABLE and IMMUTABLE categories when considering simple interactive queries that are planned and immediately executed: it doesn't matter a lot whether a function is executed once during planning or once during query execution startup. But there is a big difference if the plan is saved and reused later. Labeling a function IMMUTABLE when it really isn't may allow it to be prematurely folded to a constant during planning, resulting in a stale value being re-used during subsequent uses of the plan. This is a hazard when using prepared statements or when using function languages that cache plans (such as PL/pgSQL). Because of the snapshotting behavior of MVCC (see ) a function containing only SELECT commands can safely be marked STABLE, even if it selects from tables that might be undergoing modifications by concurrent queries. PostgreSQL will execute a STABLE function using the snapshot established for the calling query, and so it will see a fixed view of the database throughout that query. Also note that the current_timestamp family of functions qualify as stable, since their values do not change within a transaction. The same snapshotting behavior is used for SELECT commands within IMMUTABLE functions. It is generally unwise to select from database tables within an IMMUTABLE function at all, since the immutability will be broken if the table contents ever change. However, PostgreSQL does not enforce that you do not do that. A common error is to label a function IMMUTABLE when its results depend on a configuration parameter. For example, a function that manipulates timestamps might well have results that depend on the setting. For safety, such functions should be labeled STABLE instead. Before PostgreSQL release 8.0, the requirement that STABLE and IMMUTABLE functions cannot modify the database was not enforced by the system. Release 8.0 enforces it by requiring SQL functions and procedural language functions of these categories to contain no SQL commands other than SELECT. (This is not a completely bulletproof test, since such functions could still call VOLATILE functions that modify the database. If you do that, you will find that the STABLE or IMMUTABLE function does not notice the database changes applied by the called function.) PostgreSQL allows user-defined functions to be written in other languages besides SQL and C. These other languages are generically called procedural languages (PLs). Procedural languages aren't built into the PostgreSQL server; they are offered by loadable modules. See and following chapters for more information. functioninternal Internal functions are functions written in C that have been statically linked into the PostgreSQL server. The body of the function definition specifies the C-language name of the function, which need not be the same as the name being declared for SQL use. (For reasons of backwards compatibility, an empty body is accepted as meaning that the C-language function name is the same as the SQL name.) Normally, all internal functions present in the server are declared during the initialization of the database cluster (initdb), but a user could use CREATE FUNCTION to create additional alias names for an internal function. Internal functions are declared in CREATE FUNCTION with language name internal. For instance, to create an alias for the sqrt function: CREATE FUNCTION square_root(double precision) RETURNS double precision AS 'dsqrt' LANGUAGE internal STRICT; (Most internal functions expect to be declared strict.) Not all predefined functions are internal in the above sense. Some predefined functions are written in SQL. function user-defined in C User-defined functions can be written in C (or a language that can be made compatible with C, such as C++). Such functions are compiled into dynamically loadable objects (also called shared libraries) and are loaded by the server on demand. The dynamic loading feature is what distinguishes C language functions from internal functions — the actual coding conventions are essentially the same for both. (Hence, the standard internal function library is a rich source of coding examples for user-defined C functions.) Two different calling conventions are currently used for C functions. The newer version 1 calling convention is indicated by writing a PG_FUNCTION_INFO_V1() macro call for the function, as illustrated below. Lack of such a macro indicates an old-style (version 0) function. The language name specified in CREATE FUNCTION is C in either case. Old-style functions are now deprecated because of portability problems and lack of functionality, but they are still supported for compatibility reasons. dynamic loading The first time a user-defined function in a particular loadable object file is called in a session, the dynamic loader loads that object file into memory so that the function can be called. The CREATE FUNCTION for a user-defined C function must therefore specify two pieces of information for the function: the name of the loadable object file, and the C name (link symbol) of the specific function to call within that object file. If the C name is not explicitly specified then it is assumed to be the same as the SQL function name. The following algorithm is used to locate the shared object file based on the name given in the CREATE FUNCTION command: If the name is an absolute path, the given file is loaded. If the name starts with the string $libdir, that part is replaced by the PostgreSQL package library directory name, which is determined at build time.$libdir If the name does not contain a directory part, the file is searched for in the path specified by the configuration variable .dynamic_library_path Otherwise (the file was not found in the path, or it contains a non-absolute directory part), the dynamic loader will try to take the name as given, which will most likely fail. (It is unreliable to depend on the current working directory.) If this sequence does not work, the platform-specific shared library file name extension (often .so) is appended to the given name and this sequence is tried again. If that fails as well, the load will fail. The user ID the PostgreSQL server runs as must be able to traverse the path to the file you intend to load. Making the file or a higher-level directory not readable and/or not executable by the postgres user is a common mistake. In any case, the file name that is given in the CREATE FUNCTION command is recorded literally in the system catalogs, so if the file needs to be loaded again the same procedure is applied. PostgreSQL will not compile a C function automatically. The object file must be compiled before it is referenced in a CREATE FUNCTION command. See for additional information. After it is used for the first time, a dynamically loaded object file is retained in memory. Future calls in the same session to the function(s) in that file will only incur the small overhead of a symbol table lookup. If you need to force a reload of an object file, for example after recompiling it, use the LOAD command or begin a fresh session. It is recommended to locate shared libraries either relative to $libdir or through the dynamic library path. This simplifies version upgrades if the new installation is at a different location. The actual directory that $libdir stands for can be found out with the command pg_config --pkglibdir. Before PostgreSQL release 7.2, only exact absolute paths to object files could be specified in CREATE FUNCTION. This approach is now deprecated since it makes the function definition unnecessarily unportable. It's best to specify just the shared library name with no path nor extension, and let the search mechanism provide that information instead. data type internal organisation To know how to write C-language functions, you need to know how PostgreSQL internally represents base data types and how they can be passed to and from functions. Internally, PostgreSQL regards a base type as a blob of memory. The user-defined functions that you define over a type in turn define the way that PostgreSQL can operate on it. That is, PostgreSQL will only store and retrieve the data from disk and use your user-defined functions to input, process, and output the data. Base types can have one of three internal formats: pass by value, fixed-length pass by reference, fixed-length pass by reference, variable-length By-value types can only be 1, 2, or 4 bytes in length (also 8 bytes, if sizeof(Datum) is 8 on your machine). You should be careful to define your types such that they will be the same size (in bytes) on all architectures. For example, the long type is dangerous because it is 4 bytes on some machines and 8 bytes on others, whereas int type is 4 bytes on most Unix machines. A reasonable implementation of the int4 type on Unix machines might be: /* 4-byte integer, passed by value */ typedef int int4; On the other hand, fixed-length types of any size may be passed by-reference. For example, here is a sample implementation of a PostgreSQL type: /* 16-byte structure, passed by reference */ typedef struct { double x, y; } Point; Only pointers to such types can be used when passing them in and out of PostgreSQL functions. To return a value of such a type, allocate the right amount of memory with palloc, fill in the allocated memory, and return a pointer to it. (You can also return an input value that has the same type as the return value directly by returning the pointer to the input value. Never modify the contents of a pass-by-reference input value, however.) Finally, all variable-length types must also be passed by reference. All variable-length types must begin with a length field of exactly 4 bytes, and all data to be stored within that type must be located in the memory immediately following that length field. The length field contains the total length of the structure, that is, it includes the size of the length field itself. As an example, we can define the type text as follows: typedef struct { int4 length; char data[1]; } text; Obviously, the data field declared here is not long enough to hold all possible strings. Since it's impossible to declare a variable-size structure in C, we rely on the knowledge that the C compiler won't range-check array subscripts. We just allocate the necessary amount of space and then access the array as if it were declared the right length. (This is a common trick, which you can read about in many textbooks about C.) When manipulating variable-length types, we must be careful to allocate the correct amount of memory and set the length field correctly. For example, if we wanted to store 40 bytes in a text structure, we might use a code fragment like this: #include "postgres.h" ... char buffer[40]; /* our source data */ ... text *destination = (text *) palloc(VARHDRSZ + 40); destination->length = VARHDRSZ + 40; memcpy(destination->data, buffer, 40); ... VARHDRSZ is the same as sizeof(int4), but it's considered good style to use the macro VARHDRSZ to refer to the size of the overhead for a variable-length type. specifies which C type corresponds to which SQL type when writing a C-language function that uses a built-in type of PostgreSQL. The Defined In column gives the header file that needs to be included to get the type definition. (The actual definition may be in a different file that is included by the listed file. It is recommended that users stick to the defined interface.) Note that you should always include postgres.h first in any source file, because it declares a number of things that you will need anyway. SQL Type C Type Defined In abstime AbsoluteTime utils/nabstime.h boolean bool postgres.h (maybe compiler built-in) box BOX* utils/geo_decls.h bytea bytea* postgres.h "char" char (compiler built-in) character BpChar* postgres.h cid CommandId postgres.h date DateADT utils/date.h smallint (int2) int2 or int16 postgres.h int2vector int2vector* postgres.h integer (int4) int4 or int32 postgres.h real (float4) float4* postgres.h double precision (float8) float8* postgres.h interval Interval* utils/timestamp.h lseg LSEG* utils/geo_decls.h name Name postgres.h oid Oid postgres.h oidvector oidvector* postgres.h path PATH* utils/geo_decls.h point POINT* utils/geo_decls.h regproc regproc postgres.h reltime RelativeTime utils/nabstime.h text text* postgres.h tid ItemPointer storage/itemptr.h time TimeADT utils/date.h time with time zone TimeTzADT utils/date.h timestamp Timestamp* utils/timestamp.h tinterval TimeInterval utils/nabstime.h varchar VarChar* postgres.h xid TransactionId postgres.h Now that we've gone over all of the possible structures for base types, we can show some examples of real functions. We present the old style calling convention first — although this approach is now deprecated, it's easier to get a handle on initially. In the version-0 method, the arguments and result of the C function are just declared in normal C style, but being careful to use the C representation of each SQL data type as shown above. Here are some examples: #include "postgres.h" #include <string.h> /* by value */ int add_one(int arg) { return arg + 1; } /* by reference, fixed length */ float8 * add_one_float8(float8 *arg) { float8 *result = (float8 *) palloc(sizeof(float8)); *result = *arg + 1.0; return result; } Point * makepoint(Point *pointx, Point *pointy) { Point *new_point = (Point *) palloc(sizeof(Point)); new_point->x = pointx->x; new_point->y = pointy->y; return new_point; } /* by reference, variable length */ text * copytext(text *t) { /* * VARSIZE is the total size of the struct in bytes. */ text *new_t = (text *) palloc(VARSIZE(t)); VARATT_SIZEP(new_t) = VARSIZE(t); /* * VARDATA is a pointer to the data region of the struct. */ memcpy((void *) VARDATA(new_t), /* destination */ (void *) VARDATA(t), /* source */ VARSIZE(t)-VARHDRSZ); /* how many bytes */ return new_t; } text * concat_text(text *arg1, text *arg2) { int32 new_text_size = VARSIZE(arg1) + VARSIZE(arg2) - VARHDRSZ; text *new_text = (text *) palloc(new_text_size); VARATT_SIZEP(new_text) = new_text_size; memcpy(VARDATA(new_text), VARDATA(arg1), VARSIZE(arg1)-VARHDRSZ); memcpy(VARDATA(new_text) + (VARSIZE(arg1)-VARHDRSZ), VARDATA(arg2), VARSIZE(arg2)-VARHDRSZ); return new_text; } Supposing that the above code has been prepared in file funcs.c and compiled into a shared object, we could define the functions to PostgreSQL with commands like this: CREATE FUNCTION add_one(integer) RETURNS integer AS 'DIRECTORY/funcs', 'add_one' LANGUAGE C STRICT; -- note overloading of SQL function name "add_one" CREATE FUNCTION add_one(double precision) RETURNS double precision AS 'DIRECTORY/funcs', 'add_one_float8' LANGUAGE C STRICT; CREATE FUNCTION makepoint(point, point) RETURNS point AS 'DIRECTORY/funcs', 'makepoint' LANGUAGE C STRICT; CREATE FUNCTION copytext(text) RETURNS text AS 'DIRECTORY/funcs', 'copytext' LANGUAGE C STRICT; CREATE FUNCTION concat_text(text, text) RETURNS text AS 'DIRECTORY/funcs', 'concat_text', LANGUAGE C STRICT; Here, DIRECTORY stands for the directory of the shared library file (for instance the PostgreSQL tutorial directory, which contains the code for the examples used in this section). (Better style would be to use just 'funcs' in the AS clause, after having added DIRECTORY to the search path. In any case, we may omit the system-specific extension for a shared library, commonly .so or .sl.) Notice that we have specified the functions as strict, meaning that the system should automatically assume a null result if any input value is null. By doing this, we avoid having to check for null inputs in the function code. Without this, we'd have to check for null values explicitly, by checking for a null pointer for each pass-by-reference argument. (For pass-by-value arguments, we don't even have a way to check!) Although this calling convention is simple to use, it is not very portable; on some architectures there are problems with passing data types that are smaller than int this way. Also, there is no simple way to return a null result, nor to cope with null arguments in any way other than making the function strict. The version-1 convention, presented next, overcomes these objections. The version-1 calling convention relies on macros to suppress most of the complexity of passing arguments and results. The C declaration of a version-1 function is always Datum funcname(PG_FUNCTION_ARGS) In addition, the macro call PG_FUNCTION_INFO_V1(funcname); must appear in the same source file. (Conventionally. it's written just before the function itself.) This macro call is not needed for internal-language functions, since PostgreSQL assumes that all internal functions use the version-1 convention. It is, however, required for dynamically-loaded functions. In a version-1 function, each actual argument is fetched using a PG_GETARG_xxx() macro that corresponds to the argument's data type, and the result is returned using a PG_RETURN_xxx() macro for the return type. PG_GETARG_xxx() takes as its argument the number of the function argument to fetch, where the count starts at 0. PG_RETURN_xxx() takes as its argument the actual value to return. Here we show the same functions as above, coded in version-1 style: #include "postgres.h" #include <string.h> #include "fmgr.h" /* by value */ PG_FUNCTION_INFO_V1(add_one); Datum add_one(PG_FUNCTION_ARGS) { int32 arg = PG_GETARG_INT32(0); PG_RETURN_INT32(arg + 1); } /* b reference, fixed length */ PG_FUNCTION_INFO_V1(add_one_float8); Datum add_one_float8(PG_FUNCTION_ARGS) { /* The macros for FLOAT8 hide its pass-by-reference nature. */ float8 arg = PG_GETARG_FLOAT8(0); PG_RETURN_FLOAT8(arg + 1.0); } PG_FUNCTION_INFO_V1(makepoint); Datum makepoint(PG_FUNCTION_ARGS) { /* Here, the pass-by-reference nature of Point is not hidden. */ Point *pointx = PG_GETARG_POINT_P(0); Point *pointy = PG_GETARG_POINT_P(1); Point *new_point = (Point *) palloc(sizeof(Point)); new_point->x = pointx->x; new_point->y = pointy->y; PG_RETURN_POINT_P(new_point); } /* by reference, variable length */ PG_FUNCTION_INFO_V1(copytext); Datum copytext(PG_FUNCTION_ARGS) { text *t = PG_GETARG_TEXT_P(0); /* * VARSIZE is the total size of the struct in bytes. */ text *new_t = (text *) palloc(VARSIZE(t)); VARATT_SIZEP(new_t) = VARSIZE(t); /* * VARDATA is a pointer to the data region of the struct. */ memcpy((void *) VARDATA(new_t), /* destination */ (void *) VARDATA(t), /* source */ VARSIZE(t)-VARHDRSZ); /* how many bytes */ PG_RETURN_TEXT_P(new_t); } PG_FUNCTION_INFO_V1(concat_text); Datum concat_text(PG_FUNCTION_ARGS) { text *arg1 = PG_GETARG_TEXT_P(0); text *arg2 = PG_GETARG_TEXT_P(1); int32 new_text_size = VARSIZE(arg1) + VARSIZE(arg2) - VARHDRSZ; text *new_text = (text *) palloc(new_text_size); VARATT_SIZEP(new_text) = new_text_size; memcpy(VARDATA(new_text), VARDATA(arg1), VARSIZE(arg1)-VARHDRSZ); memcpy(VARDATA(new_text) + (VARSIZE(arg1)-VARHDRSZ), VARDATA(arg2), VARSIZE(arg2)-VARHDRSZ); PG_RETURN_TEXT_P(new_text); } The CREATE FUNCTION commands are the same as for the version-0 equivalents. At first glance, the version-1 coding conventions may appear to be just pointless obscurantism. They do, however, offer a number of improvements, because the macros can hide unnecessary detail. An example is that in coding add_one_float8, we no longer need to be aware that float8 is a pass-by-reference type. Another example is that the GETARG macros for variable-length types allow for more efficient fetching of toasted (compressed or out-of-line) values. One big improvement in version-1 functions is better handling of null inputs and results. The macro PG_ARGISNULL(n) allows a function to test whether each input is null. (Of course, doing this is only necessary in functions not declared strict.) As with the PG_GETARG_xxx() macros, the input arguments are counted beginning at zero. Note that one should refrain from executing PG_GETARG_xxx() until one has verified that the argument isn't null. To return a null result, execute PG_RETURN_NULL(); this works in both strict and nonstrict functions. Other options provided in the new-style interface are two variants of the PG_GETARG_xxx() macros. The first of these, PG_GETARG_xxx_COPY(), guarantees to return a copy of the specified argument that is safe for writing into. (The normal macros will sometimes return a pointer to a value that is physically stored in a table, which must not be written to. Using the PG_GETARG_xxx_COPY() macros guarantees a writable result.) The second variant consists of the PG_GETARG_xxx_SLICE() macros which take three arguments. The first is the number of the function argument (as above). The second and third are the offset and length of the segment to be returned. Offsets are counted from zero, and a negative length requests that the remainder of the value be returned. These macros provide more efficient access to parts of large values in the case where they have storage type external. (The storage type of a column can be specified using ALTER TABLE tablename ALTER COLUMN colname SET STORAGE storagetype. storagetype is one of plain, external, extended, or main.) Finally, the version-1 function call conventions make it possible to return set results () and implement trigger functions () and procedural-language call handlers (). Version-1 code is also more portable than version-0, because it does not break restrictions on function call protocol in the C standard. For more details see src/backend/utils/fmgr/README in the source distribution. Before we turn to the more advanced topics, we should discuss some coding rules for PostgreSQL C-language functions. While it may be possible to load functions written in languages other than C into PostgreSQL, this is usually difficult (when it is possible at all) because other languages, such as C++, FORTRAN, or Pascal often do not follow the same calling convention as C. That is, other languages do not pass argument and return values between functions in the same way. For this reason, we will assume that your C-language functions are actually written in C. The basic rules for writing and building C functions are as follows: Use pg_config --includedir-serverpg_configwith user-defined C functions to find out where the PostgreSQL server header files are installed on your system (or the system that your users will be running on). This option is new with PostgreSQL 7.2. For PostgreSQL 7.1 you should use the option --includedir. (pg_config will exit with a non-zero status if it encounters an unknown option.) For releases prior to 7.1 you will have to guess, but since that was before the current calling conventions were introduced, it is unlikely that you want to support those releases. When allocating memory, use the PostgreSQL functions pallocpalloc and pfreepfree instead of the corresponding C library functions malloc and free. The memory allocated by palloc will be freed automatically at the end of each transaction, preventing memory leaks. Always zero the bytes of your structures using memset. Without this, it's difficult to support hash indexes or hash joins, as you must pick out only the significant bits of your data structure to compute a hash. Even if you initialize all fields of your structure, there may be alignment padding (holes in the structure) that may contain garbage values. Most of the internal PostgreSQL types are declared in postgres.h, while the function manager interfaces (PG_FUNCTION_ARGS, etc.) are in fmgr.h, so you will need to include at least these two files. For portability reasons it's best to include postgres.h first, before any other system or user header files. Including postgres.h will also include elog.h and palloc.h for you. Symbol names defined within object files must not conflict with each other or with symbols defined in the PostgreSQL server executable. You will have to rename your functions or variables if you get error messages to this effect. Compiling and linking your code so that it can be dynamically loaded into PostgreSQL always requires special flags. See for a detailed explanation of how to do it for your particular operating system. &dfunc; pgxs If you are thinking about distributing your PostgreSQL extension modules, setting up a portable build system for them can be fairly difficult. Therefore the PostgreSQL installation provides a build infrastructure for extensions, called PGXS, so that simple extension modules can be built simply against an already installed server. Note that this infrastructure is not intended to be a universal build system framework that can be used to build all software interfacing to PostgreSQL; it simply automates common build rules for simple server extension modules. For more complicated packages, you need to write your own build system. To use the infrastructure for your extension, you must write a simple makefile. In that makefile, you need to set some variables and finally include the global PGXS makefile. Here is an example that builds an extension module named isbn_issn consisting of a shared library, an SQL script, and a documentation text file: MODULES = isbn_issn DATA_built = isbn_issn.sql DOCS = README.isbn_issn PGXS := $(shell pg_config --pgxs) include $(PGXS) The last two lines should always be the same. Earlier in the file, you assign variables or add custom make rules. The following variables can be set: MODULES list of shared objects to be build from source file with same stem (do not include suffix in this list) DATA random files to install into prefix/share/contrib DATA_built random files to install into prefix/share/contrib, which need to be built first DOCS random files to install under prefix/doc/contrib SCRIPTS script files (not binaries) to install into prefix/bin SCRIPTS_built script files (not binaries) to install into prefix/bin, which need to be built first REGRESS list of regression test cases (without suffix) or at most one of these two: PROGRAM a binary program to build (list objects files in OBJS) MODULE_big a shared object to build (list object files in OBJS) The following can also be set: EXTRA_CLEAN extra files to remove in make clean PG_CPPFLAGS will be added to CPPFLAGS PG_LIBS will be added to PROGRAM link line SHLIB_LINK will be added to MODULE_big link line Put this makefile as Makefile in the directory which holds your extension. Then you can do make to compile, and later make install to install your module. The extension is compiled and installed for the PostgreSQL installation that corresponds to the first pg_config command found in your path. Composite types do not have a fixed layout like C structures. Instances of a composite type may contain null fields. In addition, composite types that are part of an inheritance hierarchy may have different fields than other members of the same inheritance hierarchy. Therefore, PostgreSQL provides a function interface for accessing fields of composite types from C. Suppose we want to write a function to answer the query SELECT name, c_overpaid(emp, 1500) AS overpaid FROM emp WHERE name = 'Bill' OR name = 'Sam'; Using call conventions version 0, we can define c_overpaid as: #include "postgres.h" #include "executor/executor.h" /* for GetAttributeByName() */ bool c_overpaid(HeapTupleHeader t, /* the current row of emp */ int32 limit) { bool isnull; int32 salary; salary = DatumGetInt32(GetAttributeByName(t, "salary", &isnull)); if (isnull) return false; return salary > limit; } In version-1 coding, the above would look like this: #include "postgres.h" #include "executor/executor.h" /* for GetAttributeByName() */ PG_FUNCTION_INFO_V1(c_overpaid); Datum c_overpaid(PG_FUNCTION_ARGS) { HeapTupleHeader t = PG_GETARG_HEAPTUPLEHEADER(0); int32 limit = PG_GETARG_INT32(1); bool isnull; Datum salary; salary = GetAttributeByName(t, "salary", &isnull); if (isnull) PG_RETURN_BOOL(false); /* Alternatively, we might prefer to do PG_RETURN_NULL() for null salary. */ PG_RETURN_BOOL(DatumGetInt32(salary) > limit); } GetAttributeByName is the PostgreSQL system function that returns attributes out of the specified row. It has three arguments: the argument of type HeapTupleHeader passed into the function, the name of the desired attribute, and a return parameter that tells whether the attribute is null. GetAttributeByName returns a Datum value that you can convert to the proper data type by using the appropriate DatumGetXXX() macro. Note that the return value is meaningless if the null flag is set; always check the null flag before trying to do anything with the result. There is also GetAttributeByNum, which selects the target attribute by column number instead of name. The following command declares the function c_overpaid in SQL: CREATE FUNCTION c_overpaid(emp, integer) RETURNS boolean AS 'DIRECTORY/funcs', 'c_overpaid' LANGUAGE C STRICT; Notice we have used STRICT so that we did not have to check whether the input arguments were NULL. To return a row or composite-type value from a C-language function, you can use a special API that provides macros and functions to hide most of the complexity of building composite data types. To use this API, the source file must include: #include "funcapi.h" There are two ways you can build a composite data value (henceforth a tuple): you can build it from an array of Datum values, or from an array of C strings that can be passed to the input conversion functions of the tuple's column data types. In either case, you first need to obtain or construct a TupleDesc descriptor for the tuple structure. When working with Datums, you pass the TupleDesc to BlessTupleDesc, and then call heap_formtuple for each row. When working with C strings, you pass the TupleDesc to TupleDescGetAttInMetadata, and then call BuildTupleFromCStrings for each row. In the case of a function returning a set of tuples, the setup steps can all be done once during the first call of the function. Several helper functions are available for setting up the initial TupleDesc. If you want to use a named composite type, you can fetch the information from the system catalogs. Use TupleDesc RelationNameGetTupleDesc(const char *relname) to get a TupleDesc for a named relation, or TupleDesc TypeGetTupleDesc(Oid typeoid, List *colaliases) to get a TupleDesc based on a type OID. This can be used to get a TupleDesc for a base or composite type. When writing a function that returns record, the expected TupleDesc must be passed in by the caller. Once you have a TupleDesc, call TupleDesc BlessTupleDesc(TupleDesc tupdesc) if you plan to work with Datums, or AttInMetadata *TupleDescGetAttInMetadata(TupleDesc tupdesc) if you plan to work with C strings. If you are writing a function returning set, you can save the results of these functions in the FuncCallContext structure — use the tuple_desc or attinmeta field respectively. When working with Datums, use HeapTuple heap_formtuple(TupleDesc tupdesc, Datum *values, char *nulls) to build a HeapTuple given user data in Datum form. When working with C strings, use HeapTuple BuildTupleFromCStrings(AttInMetadata *attinmeta, char **values) to build a HeapTuple given user data in C string form. values is an array of C strings, one for each attribute of the return row. Each C string should be in the form expected by the input function of the attribute data type. In order to return a null value for one of the attributes, the corresponding pointer in the values array should be set to NULL. This function will need to be called again for each row you return. Once you have built a tuple to return from your function, it must be converted into a Datum. Use HeapTupleGetDatum(HeapTuple tuple) to convert a HeapTuple into a valid Datum. This Datum can be returned directly if you intend to return just a single row, or it can be used as the current return value in a set-returning function. An example appears in the next section. There is also a special API that provides support for returning sets (multiple rows) from a C-language function. A set-returning function must follow the version-1 calling conventions. Also, source files must include funcapi.h, as above. A set-returning function (SRF) is called once for each item it returns. The SRF must therefore save enough state to remember what it was doing and return the next item on each call. The structure FuncCallContext is provided to help control this process. Within a function, fcinfo->flinfo->fn_extra is used to hold a pointer to FuncCallContext across calls. typedef struct { /* * Number of times we've been called before * * call_cntr is initialized to 0 for you by SRF_FIRSTCALL_INIT(), and * incremented for you every time SRF_RETURN_NEXT() is called. */ uint32 call_cntr; /* * OPTIONAL maximum number of calls * * max_calls is here for convenience only and setting it is optional. * If not set, you must provide alternative means to know when the * function is done. */ uint32 max_calls; /* * OPTIONAL pointer to result slot * * This is obsolete and only present for backwards compatibility, viz, * user-defined SRFs that use the deprecated TupleDescGetSlot(). */ TupleTableSlot *slot; /* * OPTIONAL pointer to miscellaneous user-provided context information * * user_fctx is for use as a pointer to your own data to retain * arbitrary context information between calls of your function. */ void *user_fctx; /* * OPTIONAL pointer to struct containing attribute type input metadata * * attinmeta is for use when returning tuples (i.e., composite data types) * and is not used when returning base data types. It is only needed * if you intend to use BuildTupleFromCStrings() to create the return * tuple. */ AttInMetadata *attinmeta; /* * memory context used for structures that must live for multiple calls * * multi_call_memory_ctx is set by SRF_FIRSTCALL_INIT() for you, and used * by SRF_RETURN_DONE() for cleanup. It is the most appropriate memory * context for any memory that is to be reused across multiple calls * of the SRF. */ MemoryContext multi_call_memory_ctx; /* * OPTIONAL pointer to struct containing tuple description * * tuple_desc is for use when returning tuples (i.e. composite data types) * and is only needed if you are going to build the tuples with * heap_formtuple() rather than with BuildTupleFromCStrings(). Note that * the TupleDesc pointer stored here should usually have been run through * BlessTupleDesc() first. */ TupleDesc tuple_desc; } FuncCallContext; An SRF uses several functions and macros that automatically manipulate the FuncCallContext structure (and expect to find it via fn_extra). Use SRF_IS_FIRSTCALL() to determine if your function is being called for the first or a subsequent time. On the first call (only) use SRF_FIRSTCALL_INIT() to initialize the FuncCallContext. On every function call, including the first, use SRF_PERCALL_SETUP() to properly set up for using the FuncCallContext and clearing any previously returned data left over from the previous pass. If your function has data to return, use SRF_RETURN_NEXT(funcctx, result) to return it to the caller. (result must be of type Datum, either a single value or a tuple prepared as described above.) Finally, when your function is finished returning data, use SRF_RETURN_DONE(funcctx) to clean up and end the SRF. The memory context that is current when the SRF is called is a transient context that will be cleared between calls. This means that you do not need to call pfree on everything you allocated using palloc; it will go away anyway. However, if you want to allocate any data structures to live across calls, you need to put them somewhere else. The memory context referenced by multi_call_memory_ctx is a suitable location for any data that needs to survive until the SRF is finished running. In most cases, this means that you should switch into multi_call_memory_ctx while doing the first-call setup. A complete pseudo-code example looks like the following: Datum my_set_returning_function(PG_FUNCTION_ARGS) { FuncCallContext *funcctx; Datum result; MemoryContext oldcontext; further declarations as needed if (SRF_IS_FIRSTCALL()) { funcctx = SRF_FIRSTCALL_INIT(); oldcontext = MemoryContextSwitchTo(funcctx->multi_call_memory_ctx); /* One-time setup code appears here: */ user code if returning composite build TupleDesc, and perhaps AttInMetadata endif returning composite user code MemoryContextSwitchTo(oldcontext); } /* Each-time setup code appears here: */ user code funcctx = SRF_PERCALL_SETUP(); user code /* this is just one way we might test whether we are done: */ if (funcctx->call_cntr < funcctx->max_calls) { /* Here we want to return another item: */ user code obtain result Datum SRF_RETURN_NEXT(funcctx, result); } else { /* Here we are done returning items and just need to clean up: */ user code SRF_RETURN_DONE(funcctx); } } A complete example of a simple SRF returning a composite type looks like: PG_FUNCTION_INFO_V1(testpassbyval); Datum testpassbyval(PG_FUNCTION_ARGS) { FuncCallContext *funcctx; int call_cntr; int max_calls; TupleDesc tupdesc; AttInMetadata *attinmeta; /* stuff done only on the first call of the function */ if (SRF_IS_FIRSTCALL()) { MemoryContext oldcontext; /* create a function context for cross-call persistence */ funcctx = SRF_FIRSTCALL_INIT(); /* switch to memory context appropriate for multiple function calls */ oldcontext = MemoryContextSwitchTo(funcctx->multi_call_memory_ctx); /* total number of tuples to be returned */ funcctx->max_calls = PG_GETARG_UINT32(0); /* Build a tuple description for a __testpassbyval tuple */ tupdesc = RelationNameGetTupleDesc("__testpassbyval"); /* * generate attribute metadata needed later to produce tuples from raw * C strings */ attinmeta = TupleDescGetAttInMetadata(tupdesc); funcctx->attinmeta = attinmeta; MemoryContextSwitchTo(oldcontext); } /* stuff done on every call of the function */ funcctx = SRF_PERCALL_SETUP(); call_cntr = funcctx->call_cntr; max_calls = funcctx->max_calls; attinmeta = funcctx->attinmeta; if (call_cntr < max_calls) /* do when there is more left to send */ { char **values; HeapTuple tuple; Datum result; /* * Prepare a values array for building the returned tuple. * This should be an array of C strings which will * be processed later by the type input functions. */ values = (char **) palloc(3 * sizeof(char *)); values[0] = (char *) palloc(16 * sizeof(char)); values[1] = (char *) palloc(16 * sizeof(char)); values[2] = (char *) palloc(16 * sizeof(char)); snprintf(values[0], 16, "%d", 1 * PG_GETARG_INT32(1)); snprintf(values[1], 16, "%d", 2 * PG_GETARG_INT32(1)); snprintf(values[2], 16, "%d", 3 * PG_GETARG_INT32(1)); /* build a tuple */ tuple = BuildTupleFromCStrings(attinmeta, values); /* make the tuple into a datum */ result = HeapTupleGetDatum(tuple); /* clean up (this is not really necessary) */ pfree(values[0]); pfree(values[1]); pfree(values[2]); pfree(values); SRF_RETURN_NEXT(funcctx, result); } else /* do when there is no more left */ { SRF_RETURN_DONE(funcctx); } } The SQL code to declare this function is: CREATE TYPE __testpassbyval AS (f1 integer, f2 integer, f3 integer); CREATE OR REPLACE FUNCTION testpassbyval(integer, integer) RETURNS SETOF __testpassbyval AS 'filename', 'testpassbyval' LANGUAGE C IMMUTABLE STRICT; The directory contrib/tablefunc in the source distribution contains more examples of set-returning functions. C-language functions may be declared to accept and return the polymorphic types anyelement and anyarray. See for a more detailed explanation of polymorphic functions. When function arguments or return types are defined as polymorphic types, the function author cannot know in advance what data type it will be called with, or need to return. There are two routines provided in fmgr.h to allow a version-1 C function to discover the actual data types of its arguments and the type it is expected to return. The routines are called get_fn_expr_rettype(FmgrInfo *flinfo) and get_fn_expr_argtype(FmgrInfo *flinfo, int argnum). They return the result or argument type OID, or InvalidOid if the information is not available. The structure flinfo is normally accessed as fcinfo->flinfo. The parameter argnum is zero based. For example, suppose we want to write a function to accept a single element of any type, and return a one-dimensional array of that type: PG_FUNCTION_INFO_V1(make_array); Datum make_array(PG_FUNCTION_ARGS) { ArrayType *result; Oid element_type = get_fn_expr_argtype(fcinfo->flinfo, 0); Datum element; int16 typlen; bool typbyval; char typalign; int ndims; int dims[MAXDIM]; int lbs[MAXDIM]; if (!OidIsValid(element_type)) elog(ERROR, "could not determine data type of input"); /* get the provided element */ element = PG_GETARG_DATUM(0); /* we have one dimension */ ndims = 1; /* and one element */ dims[0] = 1; /* and lower bound is 1 */ lbs[0] = 1; /* get required info about the element type */ get_typlenbyvalalign(element_type, &typlen, &typbyval, &typalign); /* now build the array */ result = construct_md_array(&element, ndims, dims, lbs, element_type, typlen, typbyval, typalign); PG_RETURN_ARRAYTYPE_P(result); } The following command declares the function make_array in SQL: CREATE FUNCTION make_array(anyelement) RETURNS anyarray AS 'DIRECTORY/funcs', 'make_array' LANGUAGE C STRICT; Note the use of STRICT; this is essential since the code is not bothering to test for a null input.