As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
/*
|
|
|
|
* tablefunc
|
|
|
|
*
|
|
|
|
* Sample to demonstrate C functions which return setof scalar
|
|
|
|
* and setof composite.
|
|
|
|
* Joe Conway <mail@joeconway.com>
|
|
|
|
*
|
|
|
|
* Copyright 2002 by PostgreSQL Global Development Group
|
|
|
|
*
|
|
|
|
* Permission to use, copy, modify, and distribute this software and its
|
|
|
|
* documentation for any purpose, without fee, and without a written agreement
|
|
|
|
* is hereby granted, provided that the above copyright notice and this
|
|
|
|
* paragraph and the following two paragraphs appear in all copies.
|
|
|
|
*
|
|
|
|
* IN NO EVENT SHALL THE AUTHORS OR DISTRIBUTORS BE LIABLE TO ANY PARTY FOR
|
|
|
|
* DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING
|
|
|
|
* LOST PROFITS, ARISING OUT OF THE USE OF THIS SOFTWARE AND ITS
|
|
|
|
* DOCUMENTATION, EVEN IF THE AUTHOR OR DISTRIBUTORS HAVE BEEN ADVISED OF THE
|
|
|
|
* POSSIBILITY OF SUCH DAMAGE.
|
|
|
|
*
|
|
|
|
* THE AUTHORS AND DISTRIBUTORS SPECIFICALLY DISCLAIM ANY WARRANTIES,
|
|
|
|
* INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY
|
|
|
|
* AND FITNESS FOR A PARTICULAR PURPOSE. THE SOFTWARE PROVIDED HEREUNDER IS
|
|
|
|
* ON AN "AS IS" BASIS, AND THE AUTHOR AND DISTRIBUTORS HAS NO OBLIGATIONS TO
|
|
|
|
* PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.
|
|
|
|
*
|
|
|
|
*/
|
|
|
|
#include <stdlib.h>
|
|
|
|
#include <math.h>
|
|
|
|
|
|
|
|
#include "postgres.h"
|
|
|
|
|
|
|
|
#include "fmgr.h"
|
|
|
|
#include "funcapi.h"
|
|
|
|
#include "executor/spi.h"
|
|
|
|
#include "utils/builtins.h"
|
|
|
|
#include "utils/guc.h"
|
2002-08-15 06:51:27 +04:00
|
|
|
#include "utils/lsyscache.h"
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
|
|
|
|
#include "tablefunc.h"
|
|
|
|
|
|
|
|
static bool compatTupleDescs(TupleDesc tupdesc1, TupleDesc tupdesc2);
|
|
|
|
static void get_normal_pair(float8 *x1, float8 *x2);
|
2002-08-15 06:51:27 +04:00
|
|
|
static TupleDesc make_crosstab_tupledesc(TupleDesc spi_tupdesc, int num_catagories);
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
|
|
|
|
typedef struct
|
|
|
|
{
|
|
|
|
float8 mean; /* mean of the distribution */
|
|
|
|
float8 stddev; /* stddev of the distribution */
|
|
|
|
float8 carry_val; /* hold second generated value */
|
|
|
|
bool use_carry; /* use second generated value */
|
|
|
|
} normal_rand_fctx;
|
|
|
|
|
|
|
|
typedef struct
|
|
|
|
{
|
|
|
|
SPITupleTable *spi_tuptable; /* sql results from user query */
|
|
|
|
char *lastrowid; /* rowid of the last tuple sent */
|
|
|
|
} crosstab_fctx;
|
|
|
|
|
|
|
|
#define GET_TEXT(cstrp) DatumGetTextP(DirectFunctionCall1(textin, CStringGetDatum(cstrp)))
|
|
|
|
#define GET_STR(textp) DatumGetCString(DirectFunctionCall1(textout, PointerGetDatum(textp)))
|
|
|
|
#define xpfree(var_) \
|
|
|
|
do { \
|
|
|
|
if (var_ != NULL) \
|
|
|
|
{ \
|
|
|
|
pfree(var_); \
|
|
|
|
var_ = NULL; \
|
|
|
|
} \
|
|
|
|
} while (0)
|
|
|
|
|
|
|
|
/*
|
|
|
|
* normal_rand - return requested number of random values
|
|
|
|
* with a Gaussian (Normal) distribution.
|
|
|
|
*
|
|
|
|
* inputs are int numvals, float8 lower_bound, and float8 upper_bound
|
|
|
|
* returns float8
|
|
|
|
*/
|
|
|
|
PG_FUNCTION_INFO_V1(normal_rand);
|
|
|
|
Datum
|
|
|
|
normal_rand(PG_FUNCTION_ARGS)
|
|
|
|
{
|
|
|
|
FuncCallContext *funcctx;
|
|
|
|
int call_cntr;
|
|
|
|
int max_calls;
|
|
|
|
normal_rand_fctx *fctx;
|
|
|
|
float8 mean;
|
|
|
|
float8 stddev;
|
|
|
|
float8 carry_val;
|
|
|
|
bool use_carry;
|
2002-08-29 21:14:33 +04:00
|
|
|
MemoryContext oldcontext;
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
|
|
|
|
/* stuff done only on the first call of the function */
|
|
|
|
if(SRF_IS_FIRSTCALL())
|
|
|
|
{
|
|
|
|
/* create a function context for cross-call persistence */
|
|
|
|
funcctx = SRF_FIRSTCALL_INIT();
|
|
|
|
|
2002-08-29 21:14:33 +04:00
|
|
|
/* switch to memory context appropriate for multiple function calls */
|
|
|
|
oldcontext = MemoryContextSwitchTo(funcctx->multi_call_memory_ctx);
|
|
|
|
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
/* total number of tuples to be returned */
|
|
|
|
funcctx->max_calls = PG_GETARG_UINT32(0);
|
|
|
|
|
|
|
|
/* allocate memory for user context */
|
|
|
|
fctx = (normal_rand_fctx *) palloc(sizeof(normal_rand_fctx));
|
|
|
|
|
|
|
|
/*
|
|
|
|
* Use fctx to keep track of upper and lower bounds
|
|
|
|
* from call to call. It will also be used to carry over
|
|
|
|
* the spare value we get from the Box-Muller algorithm
|
|
|
|
* so that we only actually calculate a new value every
|
|
|
|
* other call.
|
|
|
|
*/
|
|
|
|
fctx->mean = PG_GETARG_FLOAT8(1);
|
|
|
|
fctx->stddev = PG_GETARG_FLOAT8(2);
|
|
|
|
fctx->carry_val = 0;
|
|
|
|
fctx->use_carry = false;
|
|
|
|
|
|
|
|
funcctx->user_fctx = fctx;
|
|
|
|
|
|
|
|
/*
|
|
|
|
* we might actually get passed a negative number, but for this
|
|
|
|
* purpose it doesn't matter, just cast it as an unsigned value
|
|
|
|
*/
|
|
|
|
srandom(PG_GETARG_UINT32(3));
|
2002-08-29 21:14:33 +04:00
|
|
|
|
|
|
|
MemoryContextSwitchTo(oldcontext);
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
}
|
|
|
|
|
|
|
|
/* stuff done on every call of the function */
|
|
|
|
funcctx = SRF_PERCALL_SETUP();
|
|
|
|
|
|
|
|
call_cntr = funcctx->call_cntr;
|
|
|
|
max_calls = funcctx->max_calls;
|
|
|
|
fctx = funcctx->user_fctx;
|
|
|
|
mean = fctx->mean;
|
|
|
|
stddev = fctx->stddev;
|
|
|
|
carry_val = fctx->carry_val;
|
|
|
|
use_carry = fctx->use_carry;
|
|
|
|
|
|
|
|
if (call_cntr < max_calls) /* do when there is more left to send */
|
|
|
|
{
|
|
|
|
float8 result;
|
|
|
|
|
|
|
|
if(use_carry)
|
|
|
|
{
|
|
|
|
/*
|
|
|
|
* reset use_carry and use second value obtained on last pass
|
|
|
|
*/
|
|
|
|
fctx->use_carry = false;
|
|
|
|
result = carry_val;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
float8 normval_1;
|
|
|
|
float8 normval_2;
|
|
|
|
|
|
|
|
/* Get the next two normal values */
|
|
|
|
get_normal_pair(&normval_1, &normval_2);
|
|
|
|
|
|
|
|
/* use the first */
|
|
|
|
result = mean + (stddev * normval_1);
|
|
|
|
|
|
|
|
/* and save the second */
|
|
|
|
fctx->carry_val = mean + (stddev * normval_2);
|
|
|
|
fctx->use_carry = true;
|
|
|
|
}
|
|
|
|
|
|
|
|
/* send the result */
|
|
|
|
SRF_RETURN_NEXT(funcctx, Float8GetDatum(result));
|
|
|
|
}
|
|
|
|
else /* do when there is no more left */
|
|
|
|
{
|
|
|
|
SRF_RETURN_DONE(funcctx);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
/*
|
|
|
|
* get_normal_pair()
|
|
|
|
* Assigns normally distributed (Gaussian) values to a pair of provided
|
|
|
|
* parameters, with mean 0, standard deviation 1.
|
|
|
|
*
|
|
|
|
* This routine implements Algorithm P (Polar method for normal deviates)
|
|
|
|
* from Knuth's _The_Art_of_Computer_Programming_, Volume 2, 3rd ed., pages
|
|
|
|
* 122-126. Knuth cites his source as "The polar method", G. E. P. Box, M. E.
|
|
|
|
* Muller, and G. Marsaglia, _Annals_Math,_Stat._ 29 (1958), 610-611.
|
|
|
|
*
|
|
|
|
*/
|
|
|
|
static void
|
|
|
|
get_normal_pair(float8 *x1, float8 *x2)
|
|
|
|
{
|
|
|
|
float8 u1, u2, v1, v2, s;
|
|
|
|
|
|
|
|
for(;;)
|
|
|
|
{
|
|
|
|
u1 = (float8) random() / (float8) RAND_MAX;
|
|
|
|
u2 = (float8) random() / (float8) RAND_MAX;
|
|
|
|
|
|
|
|
v1 = (2.0 * u1) - 1.0;
|
|
|
|
v2 = (2.0 * u2) - 1.0;
|
|
|
|
|
|
|
|
s = pow(v1, 2) + pow(v2, 2);
|
|
|
|
|
|
|
|
if (s >= 1.0)
|
|
|
|
continue;
|
|
|
|
|
|
|
|
if (s == 0)
|
|
|
|
{
|
|
|
|
*x1 = 0;
|
|
|
|
*x2 = 0;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
*x1 = v1 * sqrt((-2.0 * log(s)) / s);
|
|
|
|
*x2 = v2 * sqrt((-2.0 * log(s)) / s);
|
|
|
|
}
|
|
|
|
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
/*
|
|
|
|
* crosstab - create a crosstab of rowids and values columns from a
|
|
|
|
* SQL statement returning one rowid column, one category column,
|
|
|
|
* and one value column.
|
|
|
|
*
|
|
|
|
* e.g. given sql which produces:
|
|
|
|
*
|
|
|
|
* rowid cat value
|
|
|
|
* ------+-------+-------
|
|
|
|
* row1 cat1 val1
|
|
|
|
* row1 cat2 val2
|
|
|
|
* row1 cat3 val3
|
|
|
|
* row1 cat4 val4
|
|
|
|
* row2 cat1 val5
|
|
|
|
* row2 cat2 val6
|
|
|
|
* row2 cat3 val7
|
|
|
|
* row2 cat4 val8
|
|
|
|
*
|
|
|
|
* crosstab returns:
|
|
|
|
* <===== values columns =====>
|
|
|
|
* rowid cat1 cat2 cat3 cat4
|
|
|
|
* ------+-------+-------+-------+-------
|
|
|
|
* row1 val1 val2 val3 val4
|
|
|
|
* row2 val5 val6 val7 val8
|
|
|
|
*
|
|
|
|
* NOTES:
|
|
|
|
* 1. SQL result must be ordered by 1,2.
|
|
|
|
* 2. The number of values columns depends on the tuple description
|
|
|
|
* of the function's declared return type.
|
|
|
|
* 2. Missing values (i.e. not enough adjacent rows of same rowid to
|
|
|
|
* fill the number of result values columns) are filled in with nulls.
|
|
|
|
* 3. Extra values (i.e. too many adjacent rows of same rowid to fill
|
|
|
|
* the number of result values columns) are skipped.
|
|
|
|
* 4. Rows with all nulls in the values columns are skipped.
|
|
|
|
*/
|
|
|
|
PG_FUNCTION_INFO_V1(crosstab);
|
|
|
|
Datum
|
|
|
|
crosstab(PG_FUNCTION_ARGS)
|
|
|
|
{
|
|
|
|
FuncCallContext *funcctx;
|
|
|
|
TupleDesc ret_tupdesc;
|
|
|
|
int call_cntr;
|
|
|
|
int max_calls;
|
|
|
|
TupleTableSlot *slot;
|
|
|
|
AttInMetadata *attinmeta;
|
2002-08-15 06:51:27 +04:00
|
|
|
SPITupleTable *spi_tuptable = NULL;
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
TupleDesc spi_tupdesc;
|
2002-08-29 21:14:33 +04:00
|
|
|
char *lastrowid = NULL;
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
crosstab_fctx *fctx;
|
|
|
|
int i;
|
|
|
|
int num_categories;
|
2002-08-29 21:14:33 +04:00
|
|
|
MemoryContext oldcontext;
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
|
|
|
|
/* stuff done only on the first call of the function */
|
|
|
|
if(SRF_IS_FIRSTCALL())
|
|
|
|
{
|
2002-08-15 06:51:27 +04:00
|
|
|
char *sql = GET_STR(PG_GETARG_TEXT_P(0));
|
|
|
|
Oid funcid = fcinfo->flinfo->fn_oid;
|
|
|
|
Oid functypeid;
|
|
|
|
char functyptype;
|
|
|
|
TupleDesc tupdesc = NULL;
|
|
|
|
int ret;
|
|
|
|
int proc;
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
|
|
|
|
/* create a function context for cross-call persistence */
|
|
|
|
funcctx = SRF_FIRSTCALL_INIT();
|
|
|
|
|
2002-08-29 21:14:33 +04:00
|
|
|
/* switch to memory context appropriate for multiple function calls */
|
|
|
|
oldcontext = MemoryContextSwitchTo(funcctx->multi_call_memory_ctx);
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
|
|
|
|
/* Connect to SPI manager */
|
|
|
|
if ((ret = SPI_connect()) < 0)
|
|
|
|
elog(ERROR, "crosstab: SPI_connect returned %d", ret);
|
|
|
|
|
|
|
|
/* Retrieve the desired rows */
|
|
|
|
ret = SPI_exec(sql, 0);
|
|
|
|
proc = SPI_processed;
|
|
|
|
|
|
|
|
/* Check for qualifying tuples */
|
|
|
|
if ((ret == SPI_OK_SELECT) && (proc > 0))
|
|
|
|
{
|
|
|
|
spi_tuptable = SPI_tuptable;
|
|
|
|
spi_tupdesc = spi_tuptable->tupdesc;
|
|
|
|
|
|
|
|
/*
|
|
|
|
* The provided SQL query must always return three columns.
|
|
|
|
*
|
2002-08-15 06:51:27 +04:00
|
|
|
* 1. rowname the label or identifier for each row in the final
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
* result
|
|
|
|
* 2. category the label or identifier for each column in the
|
|
|
|
* final result
|
|
|
|
* 3. values the value for each column in the final result
|
|
|
|
*/
|
|
|
|
if (spi_tupdesc->natts != 3)
|
|
|
|
elog(ERROR, "crosstab: provided SQL must return 3 columns;"
|
|
|
|
" a rowid, a category, and a values column");
|
2002-08-15 06:51:27 +04:00
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
/* no qualifying tuples */
|
|
|
|
SPI_finish();
|
|
|
|
SRF_RETURN_DONE(funcctx);
|
|
|
|
}
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
|
2002-08-29 21:14:33 +04:00
|
|
|
/* SPI switches context on us, so reset it */
|
|
|
|
MemoryContextSwitchTo(funcctx->multi_call_memory_ctx);
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
|
2002-08-15 06:51:27 +04:00
|
|
|
/* get the typeid that represents our return type */
|
|
|
|
functypeid = get_func_rettype(funcid);
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
|
2002-08-15 06:51:27 +04:00
|
|
|
/* check typtype to see if we have a predetermined return type */
|
|
|
|
functyptype = get_typtype(functypeid);
|
|
|
|
|
|
|
|
if (functyptype == 'c')
|
|
|
|
{
|
|
|
|
/* Build a tuple description for a functypeid tuple */
|
|
|
|
tupdesc = TypeGetTupleDesc(functypeid, NIL);
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
}
|
2002-08-15 06:51:27 +04:00
|
|
|
else if (functyptype == 'p' && functypeid == RECORDOID)
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
{
|
2002-08-15 06:51:27 +04:00
|
|
|
if (fcinfo->nargs != 2)
|
|
|
|
elog(ERROR, "Wrong number of arguments specified for function");
|
|
|
|
else
|
|
|
|
{
|
|
|
|
int num_catagories = PG_GETARG_INT32(1);
|
|
|
|
|
|
|
|
tupdesc = make_crosstab_tupledesc(spi_tupdesc, num_catagories);
|
|
|
|
}
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
}
|
2002-08-15 06:51:27 +04:00
|
|
|
else if (functyptype == 'b')
|
|
|
|
elog(ERROR, "Invalid kind of return type specified for function");
|
|
|
|
else
|
|
|
|
elog(ERROR, "Unknown kind of return type specified for function");
|
|
|
|
|
|
|
|
/*
|
|
|
|
* Check that return tupdesc is compatible with the one we got
|
|
|
|
* from ret_relname, at least based on number and type of
|
|
|
|
* attributes
|
|
|
|
*/
|
|
|
|
if (!compatTupleDescs(tupdesc, spi_tupdesc))
|
|
|
|
elog(ERROR, "crosstab: return and sql tuple descriptions are"
|
|
|
|
" incompatible");
|
|
|
|
|
|
|
|
/* allocate a slot for a tuple with this tupdesc */
|
|
|
|
slot = TupleDescGetSlot(tupdesc);
|
|
|
|
|
|
|
|
/* assign slot to function context */
|
|
|
|
funcctx->slot = slot;
|
|
|
|
|
|
|
|
/*
|
|
|
|
* Generate attribute metadata needed later to produce tuples from raw
|
|
|
|
* C strings
|
|
|
|
*/
|
|
|
|
attinmeta = TupleDescGetAttInMetadata(tupdesc);
|
|
|
|
funcctx->attinmeta = attinmeta;
|
|
|
|
|
|
|
|
/* allocate memory for user context */
|
|
|
|
fctx = (crosstab_fctx *) palloc(sizeof(crosstab_fctx));
|
|
|
|
|
|
|
|
/*
|
|
|
|
* Save spi data for use across calls
|
|
|
|
*/
|
|
|
|
fctx->spi_tuptable = spi_tuptable;
|
|
|
|
fctx->lastrowid = NULL;
|
|
|
|
funcctx->user_fctx = fctx;
|
|
|
|
|
|
|
|
/* total number of tuples to be returned */
|
|
|
|
funcctx->max_calls = proc;
|
2002-08-29 21:14:33 +04:00
|
|
|
|
|
|
|
MemoryContextSwitchTo(oldcontext);
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
}
|
|
|
|
|
|
|
|
/* stuff done on every call of the function */
|
|
|
|
funcctx = SRF_PERCALL_SETUP();
|
|
|
|
|
|
|
|
/*
|
|
|
|
* initialize per-call variables
|
|
|
|
*/
|
|
|
|
call_cntr = funcctx->call_cntr;
|
|
|
|
max_calls = funcctx->max_calls;
|
|
|
|
|
|
|
|
/* return slot for our tuple */
|
|
|
|
slot = funcctx->slot;
|
|
|
|
|
|
|
|
/* user context info */
|
|
|
|
fctx = (crosstab_fctx *) funcctx->user_fctx;
|
|
|
|
lastrowid = fctx->lastrowid;
|
|
|
|
spi_tuptable = fctx->spi_tuptable;
|
|
|
|
|
|
|
|
/* the sql tuple */
|
|
|
|
spi_tupdesc = spi_tuptable->tupdesc;
|
|
|
|
|
|
|
|
/* attribute return type and return tuple description */
|
|
|
|
attinmeta = funcctx->attinmeta;
|
|
|
|
ret_tupdesc = attinmeta->tupdesc;
|
|
|
|
|
|
|
|
/* the return tuple always must have 1 rowid + num_categories columns */
|
|
|
|
num_categories = ret_tupdesc->natts - 1;
|
|
|
|
|
|
|
|
if (call_cntr < max_calls) /* do when there is more left to send */
|
|
|
|
{
|
|
|
|
HeapTuple tuple;
|
|
|
|
Datum result;
|
|
|
|
char **values;
|
|
|
|
bool allnulls = true;
|
|
|
|
|
|
|
|
while (true)
|
|
|
|
{
|
|
|
|
/* allocate space */
|
|
|
|
values = (char **) palloc((1 + num_categories) * sizeof(char *));
|
|
|
|
|
|
|
|
/* and make sure it's clear */
|
|
|
|
memset(values, '\0', (1 + num_categories) * sizeof(char *));
|
|
|
|
|
|
|
|
/*
|
|
|
|
* now loop through the sql results and assign each value
|
|
|
|
* in sequence to the next category
|
|
|
|
*/
|
|
|
|
for (i = 0; i < num_categories; i++)
|
|
|
|
{
|
|
|
|
HeapTuple spi_tuple;
|
2002-08-29 21:14:33 +04:00
|
|
|
char *rowid = NULL;
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
|
|
|
|
/* see if we've gone too far already */
|
|
|
|
if (call_cntr >= max_calls)
|
|
|
|
break;
|
|
|
|
|
|
|
|
/* get the next sql result tuple */
|
|
|
|
spi_tuple = spi_tuptable->vals[call_cntr];
|
|
|
|
|
|
|
|
/* get the rowid from the current sql result tuple */
|
|
|
|
rowid = SPI_getvalue(spi_tuple, spi_tupdesc, 1);
|
|
|
|
|
|
|
|
/*
|
|
|
|
* If this is the first pass through the values for this rowid
|
|
|
|
* set it, otherwise make sure it hasn't changed on us. Also
|
|
|
|
* check to see if the rowid is the same as that of the last
|
|
|
|
* tuple sent -- if so, skip this tuple entirely
|
|
|
|
*/
|
|
|
|
if (i == 0)
|
|
|
|
values[0] = pstrdup(rowid);
|
|
|
|
|
|
|
|
if ((rowid != NULL) && (strcmp(rowid, values[0]) == 0))
|
|
|
|
{
|
|
|
|
if ((lastrowid != NULL) && (strcmp(rowid, lastrowid) == 0))
|
|
|
|
break;
|
|
|
|
else if (allnulls == true)
|
|
|
|
allnulls = false;
|
|
|
|
|
|
|
|
/*
|
|
|
|
* Get the next category item value, which is alway attribute
|
|
|
|
* number three.
|
|
|
|
*
|
|
|
|
* Be careful to sssign the value to the array index based
|
|
|
|
* on which category we are presently processing.
|
|
|
|
*/
|
|
|
|
values[1 + i] = SPI_getvalue(spi_tuple, spi_tupdesc, 3);
|
|
|
|
|
|
|
|
/*
|
|
|
|
* increment the counter since we consume a row
|
|
|
|
* for each category, but not for last pass
|
|
|
|
* because the API will do that for us
|
|
|
|
*/
|
|
|
|
if (i < (num_categories - 1))
|
|
|
|
call_cntr = ++funcctx->call_cntr;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
/*
|
|
|
|
* We'll fill in NULLs for the missing values,
|
|
|
|
* but we need to decrement the counter since
|
|
|
|
* this sql result row doesn't belong to the current
|
|
|
|
* output tuple.
|
|
|
|
*/
|
|
|
|
call_cntr = --funcctx->call_cntr;
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (rowid != NULL)
|
|
|
|
xpfree(rowid);
|
|
|
|
}
|
|
|
|
|
|
|
|
xpfree(fctx->lastrowid);
|
|
|
|
|
|
|
|
if (values[0] != NULL)
|
2002-08-29 21:14:33 +04:00
|
|
|
{
|
|
|
|
/* switch to memory context appropriate for multiple function calls */
|
|
|
|
oldcontext = MemoryContextSwitchTo(funcctx->multi_call_memory_ctx);
|
|
|
|
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
lastrowid = fctx->lastrowid = pstrdup(values[0]);
|
2002-08-29 21:14:33 +04:00
|
|
|
MemoryContextSwitchTo(oldcontext);
|
|
|
|
}
|
As mentioned above, here is my contrib/tablefunc patch. It includes
three functions which exercise the tablefunc API.
show_all_settings()
- returns the same information as SHOW ALL, but as a query result
normal_rand(int numvals, float8 mean, float8 stddev, int seed)
- returns a set of normally distributed float8 values
- This routine implements Algorithm P (Polar method for normal
deviates) from Knuth's _The_Art_of_Computer_Programming_, Volume 2,
3rd ed., pages 122-126. Knuth cites his source as "The polar
method", G. E. P. Box, M. E. Muller, and G. Marsaglia,
_Annals_Math,_Stat._ 29 (1958), 610-611.
crosstabN(text sql)
- returns a set of row_name plus N category value columns
- crosstab2(), crosstab3(), and crosstab4() are defined for you,
but you can create additional crosstab functions per directions
in the README.
Joe Conway
2002-07-30 20:31:11 +04:00
|
|
|
|
|
|
|
if (!allnulls)
|
|
|
|
{
|
|
|
|
/* build the tuple */
|
|
|
|
tuple = BuildTupleFromCStrings(attinmeta, values);
|
|
|
|
|
|
|
|
/* make the tuple into a datum */
|
|
|
|
result = TupleGetDatum(slot, tuple);
|
|
|
|
|
|
|
|
/* Clean up */
|
|
|
|
for (i = 0; i < num_categories + 1; i++)
|
|
|
|
if (values[i] != NULL)
|
|
|
|
xpfree(values[i]);
|
|
|
|
xpfree(values);
|
|
|
|
|
|
|
|
SRF_RETURN_NEXT(funcctx, result);
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
/*
|
|
|
|
* Skipping this tuple entirely, but we need to advance
|
|
|
|
* the counter like the API would if we had returned
|
|
|
|
* one.
|
|
|
|
*/
|
|
|
|
call_cntr = ++funcctx->call_cntr;
|
|
|
|
|
|
|
|
/* we'll start over at the top */
|
|
|
|
xpfree(values);
|
|
|
|
|
|
|
|
/* see if we've gone too far already */
|
|
|
|
if (call_cntr >= max_calls)
|
|
|
|
{
|
|
|
|
/* release SPI related resources */
|
|
|
|
SPI_finish();
|
|
|
|
SRF_RETURN_DONE(funcctx);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else /* do when there is no more left */
|
|
|
|
{
|
|
|
|
/* release SPI related resources */
|
|
|
|
SPI_finish();
|
|
|
|
SRF_RETURN_DONE(funcctx);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
/*
|
|
|
|
* Check if two tupdescs match in type of attributes
|
|
|
|
*/
|
|
|
|
static bool
|
|
|
|
compatTupleDescs(TupleDesc ret_tupdesc, TupleDesc sql_tupdesc)
|
|
|
|
{
|
|
|
|
int i;
|
|
|
|
Form_pg_attribute ret_attr;
|
|
|
|
Oid ret_atttypid;
|
|
|
|
Form_pg_attribute sql_attr;
|
|
|
|
Oid sql_atttypid;
|
|
|
|
|
|
|
|
/* check the rowid types match */
|
|
|
|
ret_atttypid = ret_tupdesc->attrs[0]->atttypid;
|
|
|
|
sql_atttypid = sql_tupdesc->attrs[0]->atttypid;
|
|
|
|
if (ret_atttypid != sql_atttypid)
|
|
|
|
elog(ERROR, "compatTupleDescs: SQL rowid datatype does not match"
|
|
|
|
" return rowid datatype");
|
|
|
|
|
|
|
|
/*
|
|
|
|
* - attribute [1] of the sql tuple is the category;
|
|
|
|
* no need to check it
|
|
|
|
* - attribute [2] of the sql tuple should match
|
|
|
|
* attributes [1] to [natts] of the return tuple
|
|
|
|
*/
|
|
|
|
sql_attr = sql_tupdesc->attrs[2];
|
|
|
|
for (i = 1; i < ret_tupdesc->natts; i++)
|
|
|
|
{
|
|
|
|
ret_attr = ret_tupdesc->attrs[i];
|
|
|
|
|
|
|
|
if (ret_attr->atttypid != sql_attr->atttypid)
|
|
|
|
return false;
|
|
|
|
}
|
|
|
|
|
|
|
|
/* OK, the two tupdescs are compatible for our purposes */
|
|
|
|
return true;
|
|
|
|
}
|
2002-08-15 06:51:27 +04:00
|
|
|
|
|
|
|
static TupleDesc
|
|
|
|
make_crosstab_tupledesc(TupleDesc spi_tupdesc, int num_catagories)
|
|
|
|
{
|
|
|
|
Form_pg_attribute sql_attr;
|
|
|
|
Oid sql_atttypid;
|
|
|
|
TupleDesc tupdesc;
|
|
|
|
int natts;
|
|
|
|
AttrNumber attnum;
|
|
|
|
char attname[NAMEDATALEN];
|
|
|
|
int i;
|
|
|
|
|
|
|
|
/*
|
|
|
|
* We need to build a tuple description with one column
|
|
|
|
* for the rowname, and num_catagories columns for the values.
|
|
|
|
* Each must be of the same type as the corresponding
|
|
|
|
* spi result input column.
|
|
|
|
*/
|
|
|
|
natts = num_catagories + 1;
|
2002-09-02 05:05:06 +04:00
|
|
|
tupdesc = CreateTemplateTupleDesc(natts, false);
|
2002-08-15 06:51:27 +04:00
|
|
|
|
|
|
|
/* first the rowname column */
|
|
|
|
attnum = 1;
|
|
|
|
|
|
|
|
sql_attr = spi_tupdesc->attrs[0];
|
|
|
|
sql_atttypid = sql_attr->atttypid;
|
|
|
|
|
|
|
|
strcpy(attname, "rowname");
|
|
|
|
|
|
|
|
TupleDescInitEntry(tupdesc, attnum, attname, sql_atttypid,
|
|
|
|
-1, 0, false);
|
|
|
|
|
|
|
|
/* now the catagory values columns */
|
|
|
|
sql_attr = spi_tupdesc->attrs[2];
|
|
|
|
sql_atttypid = sql_attr->atttypid;
|
|
|
|
|
|
|
|
for (i = 0; i < num_catagories; i++)
|
|
|
|
{
|
|
|
|
attnum++;
|
|
|
|
|
|
|
|
sprintf(attname, "category_%d", i + 1);
|
|
|
|
TupleDescInitEntry(tupdesc, attnum, attname, sql_atttypid,
|
|
|
|
-1, 0, false);
|
|
|
|
}
|
|
|
|
|
|
|
|
return tupdesc;
|
|
|
|
}
|
|
|
|
|