37.10. C-Language Functions
- 37.10.1. Dynamic Loading
- 37.10.2. Base Types in C-Language Functions
- 37.10.3. Version 1 Calling Conventions
- 37.10.4. Writing Code
- 37.10.5. Compiling and Linking Dynamically-Loaded Functions
- 37.10.6. Composite-Type Arguments
- 37.10.7. Returning Rows (Composite Types)
- 37.10.8. Returning Sets
- 37.10.9. Polymorphic Arguments and Return Types
- 37.10.10. Shared Memory and LWLocks
- 37.10.11. Using C++ for Extensibility
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.)
Currently only one calling convention is used for C functions
(
"
version 1
"
). Support for that calling convention is
indicated by writing a
PG_FUNCTION_INFO_V1()
macro
call for the function, as illustrated below.
37.10.1. 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. -
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.
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
.
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.
Note
PostgreSQL
will not compile a C function
automatically. The object file must be compiled before it is referenced
in a
CREATE
FUNCTION
command. See
Section 37.10.5
for additional
information.
To ensure that a dynamically loaded object file is not loaded into an
incompatible server,
PostgreSQL
checks that the
file contains a
"
magic block
"
with the appropriate contents.
This allows the server to detect obvious incompatibilities, such as code
compiled for a different major version of
PostgreSQL
. To include a magic block,
write this in one (and only one) of the module source files, after having
included the header
fmgr.h
:
PG_MODULE_MAGIC;
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, begin a fresh session.
Optionally, a dynamically loaded file can contain initialization and
finalization functions. If the file includes a function named
_PG_init
, that function will be called immediately after
loading the file. The function receives no parameters and should
return void. If the file includes a function named
_PG_fini
, that function will be called immediately before
unloading the file. Likewise, the function receives no parameters and
should return void. Note that
_PG_fini
will only be called
during an unload of the file, not during process termination.
(Presently, unloads are disabled and will never occur, but this may
change in the future.)
37.10.2. Base Types in C-Language Functions
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;
(The actual PostgreSQL C code calls this type
int32
, because
it is a convention in C that
int
means
XX
XX
bits
. Note
therefore also that the C type
int8
is 1 byte in size. The
SQL type
int8
is called
int64
in C. See also
Table 37.1
.)
On the other hand, fixed-length types of any size can 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. (Also, if you just want to return the
same value as one of your input arguments that's of the same data type,
you can skip the extra
palloc
and just return the
pointer to the input value.)
Finally, all variable-length types must also be passed
by reference. All variable-length types must begin
with an opaque length field of exactly 4 bytes, which will be set
by
SET_VARSIZE
; never set this field directly! 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.
Another important point is to avoid leaving any uninitialized bits within data type values; for example, take care to zero out any alignment padding bytes that might be present in structs. Without this, logically-equivalent constants of your data type might be seen as unequal by the planner, leading to inefficient (though not incorrect) plans.
Warning
Never modify the contents of a pass-by-reference input value. If you do so you are likely to corrupt on-disk data, since the pointer you are given might point directly into a disk buffer. The sole exception to this rule is explained in Section 37.12 .
As an example, we can define the type
text
as
follows:
typedef struct { int32 length; char data[FLEXIBLE_ARRAY_MEMBER]; } text;
The
[FLEXIBLE_ARRAY_MEMBER]
notation means that the actual
length of the data part is not specified by this declaration.
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); SET_VARSIZE(destination, VARHDRSZ + 40); memcpy(destination->data, buffer, 40); ...
VARHDRSZ
is the same as
sizeof(int32)
, but
it's considered good style to use the macro
VARHDRSZ
to refer to the size of the overhead for a variable-length type.
Also, the length field
must
be set using the
SET_VARSIZE
macro, not by simple assignment.
Table 37.1
shows the C types
corresponding to many of the built-in SQL data types
of
PostgreSQL
.
The
"
Defined In
"
column gives the header file that
needs to be included to get the type definition. (The actual
definition might 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 of server
code, because it declares a number of things that you will need
anyway, and because including other headers first can cause
portability issues.
Table 37.1. Equivalent C Types for Built-in SQL Types
SQL Type | C Type | Defined In |
---|---|---|
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
|
float4
(
real
)
|
float4
|
postgres.h
|
float8
(
double precision
)
|
float8
|
postgres.h
|
int2
(
smallint
)
|
int16
|
postgres.h
|
int4
(
integer
)
|
int32
|
postgres.h
|
int8
(
bigint
)
|
int64
|
postgres.h
|
interval
|
Interval*
|
datatype/timestamp.h
|
lseg
|
LSEG*
|
utils/geo_decls.h
|
name
|
Name
|
postgres.h
|
numeric
|
Numeric
|
utils/numeric.h
|
oid
|
Oid
|
postgres.h
|
oidvector
|
oidvector*
|
postgres.h
|
path
|
PATH*
|
utils/geo_decls.h
|
point
|
POINT*
|
utils/geo_decls.h
|
regproc
|
RegProcedure
|
postgres.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
|
datatype/timestamp.h
|
timestamp with time zone
|
TimestampTz
|
datatype/timestamp.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.
37.10.3. Version 1 Calling Conventions
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_
macro that corresponds to the argument's data type. (In non-strict
functions there needs to be a previous check about argument null-ness
using
xxx
()
PG_ARGISNULL()
; see below.)
The result is returned using a
PG_RETURN_
macro for the return type.
xxx
()
PG_GETARG_
takes as its argument the number of the function argument to
fetch, where the count starts at 0.
xxx
()
PG_RETURN_
takes as its argument the actual value to return.
xxx
()
Here are some examples using the version-1 calling convention:
#include "postgres.h" #include#include "fmgr.h" #include "utils/geo_decls.h" PG_MODULE_MAGIC; /* 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); } /* by 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_PP(0); /* * VARSIZE_ANY_EXHDR is the size of the struct in bytes, minus the * VARHDRSZ or VARHDRSZ_SHORT of its header. Construct the copy with a * full-length header. */ text *new_t = (text *) palloc(VARSIZE_ANY_EXHDR(t) + VARHDRSZ); SET_VARSIZE(new_t, VARSIZE_ANY_EXHDR(t) + VARHDRSZ); /* * VARDATA is a pointer to the data region of the new struct. The source * could be a short datum, so retrieve its data through VARDATA_ANY. */ memcpy((void *) VARDATA(new_t), /* destination */ (void *) VARDATA_ANY(t), /* source */ VARSIZE_ANY_EXHDR(t)); /* 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_PP(0); text *arg2 = PG_GETARG_TEXT_PP(1); int32 arg1_size = VARSIZE_ANY_EXHDR(arg1); int32 arg2_size = VARSIZE_ANY_EXHDR(arg2); int32 new_text_size = arg1_size + arg2_size + VARHDRSZ; text *new_text = (text *) palloc(new_text_size); SET_VARSIZE(new_text, new_text_size); memcpy(VARDATA(new_text), VARDATA_ANY(arg1), arg1_size); memcpy(VARDATA(new_text) + arg1_size, VARDATA_ANY(arg2), arg2_size); PG_RETURN_TEXT_P(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 can omit the system-specific extension for a shared
library, commonly
.so
.)
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, using
PG_ARGISNULL()
.
The macro
PG_ARGISNULL(
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
n
)
PG_GETARG_
macros,
the input arguments are counted beginning at zero. Note that one
should refrain from executing
xxx
()
PG_GETARG_
until
one has verified that the argument isn't null.
To return a null result, execute
xxx
()
PG_RETURN_NULL()
;
this works in both strict and nonstrict functions.
At first glance, the version-1 coding conventions might appear
to be just pointless obscurantism, compared to using
plain
C
calling conventions. They do however allow
us to deal with
NULL
able arguments/return values,
and
"
toasted
"
(compressed or out-of-line) values.
Other options provided by the version-1 interface are two
variants of the
PG_GETARG_
macros. The first of these,
xxx
()
PG_GETARG_
,
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
xxx
_COPY()
PG_GETARG_
macros guarantees a writable result.)
The second variant consists of the
xxx
_COPY()
PG_GETARG_
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
xxx
_SLICE()
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 (
Section 37.10.8
) and
implement trigger functions (
Chapter 38
) and
procedural-language call handlers (
Chapter 55
). For more details
see
src/backend/utils/fmgr/README
in the
source distribution.
37.10.4. Writing Code
Before we turn to the more advanced topics, we should discuss some coding rules for PostgreSQL C-language functions. While it might 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-server
to find out where the PostgreSQL server header files are installed on your system (or the system that your users will be running on). -
Compiling and linking your code so that it can be dynamically loaded into PostgreSQL always requires special flags. See Section 37.10.5 for a detailed explanation of how to do it for your particular operating system.
-
Remember to define a " magic block " for your shared library, as described in Section 37.10.1 .
-
When allocating memory, use the PostgreSQL functions
palloc
andpfree
instead of the corresponding C library functionsmalloc
andfree
. The memory allocated bypalloc
will be freed automatically at the end of each transaction, preventing memory leaks. -
Always zero the bytes of your structures using
memset
(or allocate them withpalloc0
in the first place). Even if you assign to each field of your structure, there might be alignment padding (holes in the structure) that contain garbage values. 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. The planner also sometimes relies on comparing constants via bitwise equality, so you can get undesirable planning results if logically-equivalent values aren't bitwise equal. -
Most of the internal PostgreSQL types are declared in
postgres.h
, while the function manager interfaces (PG_FUNCTION_ARGS
, etc.) are infmgr.h
, so you will need to include at least these two files. For portability reasons it's best to includepostgres.h
first , before any other system or user header files. Includingpostgres.h
will also includeelog.h
andpalloc.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.
37.10.5. Compiling and Linking Dynamically-Loaded Functions
Before you are able to use your PostgreSQL extension functions written in C, they must be compiled and linked in a special way to produce a file that can be dynamically loaded by the server. To be precise, a shared library needs to be created.
For information beyond what is contained in this section
you should read the documentation of your
operating system, in particular the manual pages for the C compiler,
cc
, and the link editor,
ld
.
In addition, the
PostgreSQL
source code
contains several working examples in the
contrib
directory. If you rely on these
examples you will make your modules dependent on the availability
of the
PostgreSQL
source code, however.
Creating shared libraries is generally analogous to linking executables: first the source files are compiled into object files, then the object files are linked together. The object files need to be created as position-independent code ( PIC ), which conceptually means that they can be placed at an arbitrary location in memory when they are loaded by the executable. (Object files intended for executables are usually not compiled that way.) The command to link a shared library contains special flags to distinguish it from linking an executable (at least in theory - on some systems the practice is much uglier).
In the following examples we assume that your source code is in a
file
foo.c
and we will create a shared library
foo.so
. The intermediate object file will be
called
foo.o
unless otherwise noted. A shared
library can contain more than one object file, but we only use one
here.
- FreeBSD
-
The compiler flag to create PIC is
-fPIC
. To create shared libraries the compiler flag is-shared
.gcc -fPIC -c foo.c gcc -shared -o foo.so foo.o
This is applicable as of version 3.0 of FreeBSD .
- HP-UX
-
The compiler flag of the system compiler to create PIC is
+z
. When using GCC it's-fPIC
. The linker flag for shared libraries is-b
. So:cc +z -c foo.c
or:
gcc -fPIC -c foo.c
and then:
ld -b -o foo.sl foo.o
HP-UX uses the extension
.sl
for shared libraries, unlike most other systems. - Linux
-
The compiler flag to create PIC is
-fPIC
. The compiler flag to create a shared library is-shared
. A complete example looks like this:cc -fPIC -c foo.c cc -shared -o foo.so foo.o
- macOS
-
Here is an example. It assumes the developer tools are installed.
cc -c foo.c cc -bundle -flat_namespace -undefined suppress -o foo.so foo.o
- NetBSD
-
The compiler flag to create PIC is
-fPIC
. For ELF systems, the compiler with the flag-shared
is used to link shared libraries. On the older non-ELF systems,ld -Bshareable
is used.gcc -fPIC -c foo.c gcc -shared -o foo.so foo.o
- OpenBSD
-
The compiler flag to create PIC is
-fPIC
.ld -Bshareable
is used to link shared libraries.gcc -fPIC -c foo.c ld -Bshareable -o foo.so foo.o
- Solaris
-
The compiler flag to create PIC is
-KPIC
with the Sun compiler and-fPIC
with GCC . To link shared libraries, the compiler option is-G
with either compiler or alternatively-shared
with GCC .cc -KPIC -c foo.c cc -G -o foo.so foo.o
or
gcc -fPIC -c foo.c gcc -G -o foo.so foo.o
Tip
If this is too complicated for you, you should consider using GNU Libtool , which hides the platform differences behind a uniform interface.
The resulting shared library file can then be loaded into
PostgreSQL
. When specifying the file name
to the
CREATE FUNCTION
command, one must give it
the name of the shared library file, not the intermediate object file.
Note that the system's standard shared-library extension (usually
.so
or
.sl
) can be omitted from
the
CREATE FUNCTION
command, and normally should
be omitted for best portability.
Refer back to Section 37.10.1 about where the server expects to find the shared library files.
37.10.6. Composite-Type Arguments
Composite types do not have a fixed layout like C structures. Instances of a composite type can contain null fields. In addition, composite types that are part of an inheritance hierarchy can 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 the version-1 calling conventions, we can define
c_overpaid
as:
#include "postgres.h" #include "executor/executor.h" /* for GetAttributeByName() */ PG_MODULE_MAGIC; 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
DatumGet
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.
XXX
()
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.
37.10.7. Returning Rows (Composite Types)
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_form_tuple
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 needed
TupleDesc
. The recommended way to do this in most
functions returning composite values is to call:
TypeFuncClass get_call_result_type(FunctionCallInfo fcinfo, Oid *resultTypeId, TupleDesc *resultTupleDesc)
passing the same
fcinfo
struct passed to the calling function
itself. (This of course requires that you use the version-1
calling conventions.)
resultTypeId
can be specified
as
NULL
or as the address of a local variable to receive the
function's result type OID.
resultTupleDesc
should be the
address of a local
TupleDesc
variable. Check that the
result is
TYPEFUNC_COMPOSITE
; if so,
resultTupleDesc
has been filled with the needed
TupleDesc
. (If it is not, you can report an error along
the lines of
"
function returning record called in context that
cannot accept type record
"
.)
Tip
get_call_result_type
can resolve the actual type of a
polymorphic function result; so it is useful in functions that return
scalar polymorphic results, not only functions that return composites.
The
resultTypeId
output is primarily useful for functions
returning polymorphic scalars.
Note
get_call_result_type
has a sibling
get_expr_result_type
, which can be used to resolve the
expected output type for a function call represented by an expression
tree. This can be used when trying to determine the result type from
outside the function itself. There is also
get_func_result_type
, which can be used when only the
function's OID is available. However these functions are not able
to deal with functions declared to return
record
, and
get_func_result_type
cannot resolve polymorphic types,
so you should preferentially use
get_call_result_type
.
Older, now-deprecated functions for obtaining
TupleDesc
s are:
TupleDesc RelationNameGetTupleDesc(const char *relname)
to get a
TupleDesc
for the row type of a named relation,
and:
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. It will not work for a function that returns
record
, however, and it cannot resolve polymorphic
types.
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_form_tuple(TupleDesc tupdesc, Datum *values, bool *isnull)
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.
37.10.8. Returning Sets
C-language functions have two options for returning sets (multiple rows). In one method, called ValuePerCall mode, a set-returning function is called repeatedly (passing the same arguments each time) and it returns one new row on each call, until it has no more rows to return and signals that by returning NULL. The set-returning function ( SRF ) must therefore save enough state across calls to remember what it was doing and return the correct next item on each call. In the other method, called Materialize mode, a SRF fills and returns a tuplestore object containing its entire result; then only one call occurs for the whole result, and no inter-call state is needed.
When using ValuePerCall mode, it is important to remember that the
query is not guaranteed to be run to completion; that is, due to
options such as
LIMIT
, the executor might stop
making calls to the set-returning function before all rows have been
fetched. This means it is not safe to perform cleanup activities in
the last call, because that might not ever happen. It's recommended
to use Materialize mode for functions that need access to external
resources, such as file descriptors.
The remainder of this section documents a set of helper macros that
are commonly used (though not required to be used) for SRFs using
ValuePerCall mode. Additional details about Materialize mode can be
found in
src/backend/utils/fmgr/README
. Also,
the
contrib
modules in
the
PostgreSQL
source distribution contain
many examples of SRFs using both ValuePerCall and Materialize mode.
To use the ValuePerCall support macros described here,
include
funcapi.h
. These macros work with a
structure
FuncCallContext
that contains the
state that needs to be saved across calls. Within the calling
SRF,
fcinfo->flinfo->fn_extra
is used to
hold a pointer to
FuncCallContext
across
calls. The macros automatically fill that field on first use,
and expect to find the same pointer there on subsequent uses.
typedef struct FuncCallContext { /* * 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. */ uint64 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. */ uint64 max_calls; /* * 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_form_tuple() rather than with BuildTupleFromCStrings(). Note that * the TupleDesc pointer stored here should usually have been run through * BlessTupleDesc() first. */ TupleDesc tuple_desc; } FuncCallContext;
The macros to be used by an SRF using this infrastructure are:
SRF_IS_FIRSTCALL()
Use this to determine if your function is being called for the first or a subsequent time. On the first call (only), call:
SRF_FIRSTCALL_INIT()
to initialize the
FuncCallContext
. On every function call,
including the first, call:
SRF_PERCALL_SETUP()
to set up for using the
FuncCallContext
.
If your function has data to return in the current call, 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.
Use
funcctx->user_fctx
to hold a pointer to
any such cross-call data structures.
(Data you allocate
in
multi_call_memory_ctx
will go away
automatically when the query ends, so it is not necessary to free
that data manually, either.)
Warning
While the actual arguments to the function remain unchanged between
calls, if you detoast the argument values (which is normally done
transparently by the
PG_GETARG_
macro)
in the transient context then the detoasted copies will be freed on
each cycle. Accordingly, if you keep references to such values in
your
xxx
user_fctx
, you must either copy them into the
multi_call_memory_ctx
after detoasting, or ensure
that you detoast the values only in that context.
A complete pseudo-code example looks like the following:
Datum my_set_returning_function(PG_FUNCTION_ARGS) { FuncCallContext *funcctx; Datum result;further declarations as needed
if (SRF_IS_FIRSTCALL()) { MemoryContext oldcontext; 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, so just report that fact. */ /* (Resist the temptation to put cleanup code here.) */ SRF_RETURN_DONE(funcctx); } }
A complete example of a simple SRF returning a composite type looks like:
PG_FUNCTION_INFO_V1(retcomposite); Datum retcomposite(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 descriptor for our result type */ if (get_call_result_type(fcinfo, NULL, &tupdesc) != TYPEFUNC_COMPOSITE) ereport(ERROR, (errcode(ERRCODE_FEATURE_NOT_SUPPORTED), errmsg("function returning record called in context " "that cannot accept type record"))); /* * 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); } }
One way to declare this function in SQL is:
CREATE TYPE __retcomposite AS (f1 integer, f2 integer, f3 integer);
CREATE OR REPLACE FUNCTION retcomposite(integer, integer)
RETURNS SETOF __retcomposite
AS 'filename
', 'retcomposite'
LANGUAGE C IMMUTABLE STRICT;
A different way is to use OUT parameters:
CREATE OR REPLACE FUNCTION retcomposite(IN integer, IN integer,
OUT f1 integer, OUT f2 integer, OUT f3 integer)
RETURNS SETOF record
AS 'filename
', 'retcomposite'
LANGUAGE C IMMUTABLE STRICT;
Notice that in this method the output type of the function is formally
an anonymous
record
type.
37.10.9. Polymorphic Arguments and Return Types
C-language functions can be declared to accept and
return the polymorphic types
anyelement
,
anyarray
,
anynonarray
,
anyenum
, and
anyrange
.
See
Section 37.2.5
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.
get_call_result_type
can also be used
as an alternative to
get_fn_expr_rettype
.
There is also
get_fn_expr_variadic
, which can be used to
find out whether variadic arguments have been merged into an array.
This is primarily useful for
VARIADIC "any"
functions,
since such merging will always have occurred for variadic functions
taking ordinary array types.
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; bool isnull; 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, being careful in case it's NULL */ isnull = PG_ARGISNULL(0); if (isnull) element = (Datum) 0; else 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, &isnull, 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 IMMUTABLE;
There is a variant of polymorphism that is only available to C-language
functions: they can be declared to take parameters of type
"any"
. (Note that this type name must be double-quoted,
since it's also a SQL reserved word.) This works like
anyelement
except that it does not constrain different
"any"
arguments to be the same type, nor do they help
determine the function's result type. A C-language function can also
declare its final parameter to be
VARIADIC "any"
. This will
match one or more actual arguments of any type (not necessarily the same
type). These arguments will
not
be gathered into an array
as happens with normal variadic functions; they will just be passed to
the function separately. The
PG_NARGS()
macro and the
methods described above must be used to determine the number of actual
arguments and their types when using this feature. Also, users of such
a function might wish to use the
VARIADIC
keyword in their
function call, with the expectation that the function would treat the
array elements as separate arguments. The function itself must implement
that behavior if wanted, after using
get_fn_expr_variadic
to
detect that the actual argument was marked with
VARIADIC
.
37.10.10. Shared Memory and LWLocks
Add-ins can reserve LWLocks and an allocation of shared memory on server startup. The add-in's shared library must be preloaded by specifying it in shared_preload_libraries . Shared memory is reserved by calling:
void RequestAddinShmemSpace(int size)
from your
_PG_init
function.
LWLocks are reserved by calling:
void RequestNamedLWLockTranche(const char *tranche_name, int num_lwlocks)
from
_PG_init
. This will ensure that an array of
num_lwlocks
LWLocks is available under the name
tranche_name
. Use
GetNamedLWLockTranche
to get a pointer to this array.
To avoid possible race-conditions, each backend should use the LWLock
AddinShmemInitLock
when connecting to and initializing
its allocation of shared memory, as shown here:
static mystruct *ptr = NULL; if (!ptr) { bool found; LWLockAcquire(AddinShmemInitLock, LW_EXCLUSIVE); ptr = ShmemInitStruct("my struct name", size, &found); if (!found) { initialize contents of shmem area; acquire any requested LWLocks using: ptr->locks = GetNamedLWLockTranche("my tranche name"); } LWLockRelease(AddinShmemInitLock); }
37.10.11. Using C++ for Extensibility
Although the PostgreSQL backend is written in C, it is possible to write extensions in C++ if these guidelines are followed:
-
All functions accessed by the backend must present a C interface to the backend; these C functions can then call C++ functions. For example,
extern C
linkage is required for backend-accessed functions. This is also necessary for any functions that are passed as pointers between the backend and C++ code. -
Free memory using the appropriate deallocation method. For example, most backend memory is allocated using
palloc()
, so usepfree()
to free it. Using C++delete
in such cases will fail. -
Prevent exceptions from propagating into the C code (use a catch-all block at the top level of all
extern C
functions). This is necessary even if the C++ code does not explicitly throw any exceptions, because events like out-of-memory can still throw exceptions. Any exceptions must be caught and appropriate errors passed back to the C interface. If possible, compile C++ with-fno-exceptions
to eliminate exceptions entirely; in such cases, you must check for failures in your C++ code, e.g., check for NULL returned bynew()
. -
If calling backend functions from C++ code, be sure that the C++ call stack contains only plain old data structures ( POD ). This is necessary because backend errors generate a distant
longjmp()
that does not properly unroll a C++ call stack with non-POD objects.
In summary, it is best to place C++ code behind a wall of
extern C
functions that interface to the backend,
and avoid exception, memory, and call stack leakage.