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pg_conversion.c
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pg_conversion.c
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/*
* PL/R - PostgreSQL support for R as a
* procedural language (PL)
*
* Copyright (c) 2003-2007 by Joseph E. Conway
* ALL RIGHTS RESERVED
*
* Joe Conway <mail@joeconway.com>
*
* Based on pltcl by Jan Wieck
* and inspired by REmbeddedPostgres by
* Duncan Temple Lang <duncan@research.bell-labs.com>
* http://www.omegahat.org/RSPostgres/
*
* License: GPL version 2 or newer. http://www.gnu.org/copyleft/gpl.html
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* pg_conversion.c - functions for converting arguments from pg types to
* R types, and for converting return values from R types
* to pg types
*/
#include "plr.h"
#include "funcapi.h"
#include "miscadmin.h"
#include "catalog/catversion.h"
static void pg_get_one_r(char *value, Oid arg_out_fn_oid, SEXP *obj,
int elnum);
static SEXP get_r_vector(Oid typtype, int numels);
static Datum get_trigger_tuple(SEXP rval, plr_function *function,
FunctionCallInfo fcinfo, bool *isnull);
static Datum get_tuplestore(SEXP rval, plr_function *function,
FunctionCallInfo fcinfo, bool *isnull);
static Datum get_array_datum(SEXP rval, plr_function *function, int col, bool *isnull);
static Datum get_frame_array_datum(SEXP rval, plr_function *function, int col,
bool *isnull);
static Datum get_md_array_datum(SEXP rval, int ndims, plr_function *function, int col,
bool *isnull);
static Datum get_generic_array_datum(SEXP rval, plr_function *function, int col,
bool *isnull);
static Tuplestorestate *get_frame_tuplestore(SEXP rval,
plr_function *function,
AttInMetadata *attinmeta,
MemoryContext per_query_ctx,
bool retset);
static Tuplestorestate *get_matrix_tuplestore(SEXP rval,
plr_function *function,
AttInMetadata *attinmeta,
MemoryContext per_query_ctx,
bool retset);
static Tuplestorestate *get_generic_tuplestore(SEXP rval,
plr_function *function,
AttInMetadata *attinmeta,
MemoryContext per_query_ctx,
bool retset);
/*
* given a scalar pg value, convert to a one row R vector
*/
SEXP
pg_scalar_get_r(Datum dvalue, Oid arg_typid, FmgrInfo arg_out_func)
{
SEXP result;
char *value;
value = DatumGetCString(FunctionCall3(&arg_out_func,
dvalue,
(Datum) 0,
Int32GetDatum(-1)));
/* get new vector of the appropriate type, length 1 */
PROTECT(result = get_r_vector(arg_typid, 1));
/* add our value to it */
pg_get_one_r(value, arg_typid, &result, 0);
UNPROTECT(1);
return result;
}
/*
* Given an array pg value, convert to a multi-row R vector.
*/
SEXP
pg_array_get_r(Datum dvalue, FmgrInfo out_func, int typlen, bool typbyval, char typalign)
{
/*
* Loop through and convert each scalar value.
* Use the converted values to build an R vector.
*/
SEXP result;
char *value;
ArrayType *v = DatumGetArrayTypeP(dvalue);
Oid element_type;
int i, j, k,
nitems,
nr = 1,
nc = 1,
nz = 1,
ndim,
*dim;
int elem_idx = 0;
Datum *elem_values;
bool *elem_nulls;
/* short-circuit for NULL datums */
if (dvalue == (Datum) NULL)
return R_NilValue;
ndim = ARR_NDIM(v);
element_type = ARR_ELEMTYPE(v);
dim = ARR_DIMS(v);
deconstruct_array(v, element_type,
typlen, typbyval, typalign,
&elem_values, &elem_nulls, &nitems);
/* array is empty */
if (nitems == 0)
{
PROTECT(result = get_r_vector(element_type, nitems));
UNPROTECT(1);
return result;
}
if (ndim == 1)
nr = nitems;
else if (ndim == 2)
{
nr = dim[0];
nc = dim[1];
}
else if (ndim == 3)
{
nr = dim[0];
nc = dim[1];
nz = dim[2];
}
else
ereport(ERROR,
(errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
errmsg("greater than 3-dimensional arrays are not yet supported")));
/* get new vector of the appropriate type and length */
PROTECT(result = get_r_vector(element_type, nitems));
/* Convert all values to their R form and build the vector */
for (i = 0; i < nr; i++)
{
for (j = 0; j < nc; j++)
{
for (k = 0; k < nz; k++)
{
Datum itemvalue;
bool isnull;
int idx = (k * nr * nc) + (j * nr) + i;
isnull = elem_nulls[elem_idx];
itemvalue = elem_values[elem_idx++];
if (!isnull)
{
value = DatumGetCString(FunctionCall3(&out_func,
itemvalue,
(Datum) 0,
Int32GetDatum(-1)));
}
else
value = NULL;
/*
* Note that pg_get_one_r() replaces NULL values with
* the NA value appropriate for the data type.
*/
pg_get_one_r(value, element_type, &result, idx);
}
}
}
UNPROTECT(1);
if (ndim > 1)
{
SEXP matrix_dims;
/* attach dimensions */
PROTECT(matrix_dims = allocVector(INTSXP, ndim));
for (i = 0; i < ndim; i++)
INTEGER_DATA(matrix_dims)[i] = dim[i];
setAttrib(result, R_DimSymbol, matrix_dims);
UNPROTECT(1);
}
return result;
}
/*
* given an array of pg tuples, convert to an R data.frame
*/
SEXP
pg_tuple_get_r_frame(int ntuples, HeapTuple *tuples, TupleDesc tupdesc)
{
int nr = ntuples;
int nc = tupdesc->natts;
int nc_non_dropped = 0;
int df_colnum = 0;
int i = 0;
int j = 0;
Oid element_type;
Oid typelem;
SEXP names;
SEXP row_names;
char buf[256];
SEXP result;
SEXP fldvec;
if (tuples == NULL || ntuples < 1)
return R_NilValue;
/* Count non-dropped attributes so we can later ignore the dropped ones */
for (j = 0; j < nc; j++)
{
if (!tupdesc->attrs[j]->attisdropped)
nc_non_dropped++;
}
/*
* Allocate the data.frame initially as a list,
* and also allocate a names vector for the column names
*/
PROTECT(result = NEW_LIST(nc_non_dropped));
PROTECT(names = NEW_CHARACTER(nc_non_dropped));
/*
* Loop by columns
*/
for (j = 0; j < nc; j++)
{
int16 typlen;
bool typbyval;
char typdelim;
Oid typoutput,
elemtypelem;
FmgrInfo outputproc;
char typalign;
/* ignore dropped attributes */
if (tupdesc->attrs[j]->attisdropped)
continue;
/* set column name */
SET_COLUMN_NAMES;
/* get column datatype oid */
element_type = SPI_gettypeid(tupdesc, j + 1);
/*
* Check to see if it is an array type. get_element_type will return
* InvalidOid instead of actual element type if the type is not a
* varlena array.
*/
typelem = get_element_type(element_type);
/* get new vector of the appropriate type and length */
if (typelem == InvalidOid)
PROTECT(fldvec = get_r_vector(element_type, nr));
else
{
PROTECT(fldvec = NEW_LIST(nr));
get_type_io_data(typelem, IOFunc_output, &typlen, &typbyval,
&typalign, &typdelim, &elemtypelem, &typoutput);
fmgr_info(typoutput, &outputproc);
}
/* loop rows for this column */
for (i = 0; i < nr; i++)
{
if (typelem == InvalidOid)
{
/* not an array type */
char *value;
value = SPI_getvalue(tuples[i], tupdesc, j + 1);
pg_get_one_r(value, element_type, &fldvec, i);
}
else
{
/* array type */
Datum dvalue;
bool isnull;
SEXP fldvec_elem;
dvalue = SPI_getbinval(tuples[i], tupdesc, j + 1, &isnull);
PROTECT(fldvec_elem = pg_array_get_r(dvalue, outputproc, typlen, typbyval, typalign));
SET_VECTOR_ELT(fldvec, i, fldvec_elem);
UNPROTECT(1);
}
}
SET_VECTOR_ELT(result, df_colnum, fldvec);
UNPROTECT(1);
df_colnum++;
}
/* attach the column names */
setAttrib(result, R_NamesSymbol, names);
/* attach row names - basically just the row number, zero based */
PROTECT(row_names = allocVector(STRSXP, nr));
for (i=0; i<nr; i++)
{
sprintf(buf, "%d", i+1);
SET_STRING_ELT(row_names, i, COPY_TO_USER_STRING(buf));
}
setAttrib(result, R_RowNamesSymbol, row_names);
/* finally, tell R we are a "data.frame" */
setAttrib(result, R_ClassSymbol, mkString("data.frame"));
UNPROTECT(3);
return result;
}
/*
* create an R vector of a given type and size based on pg output function oid
*/
static SEXP
get_r_vector(Oid typtype, int numels)
{
SEXP result;
switch (typtype)
{
case OIDOID:
case INT2OID:
case INT4OID:
/* 2 and 4 byte integer pgsql datatype => use R INTEGER */
PROTECT(result = NEW_INTEGER(numels));
break;
case INT8OID:
case FLOAT4OID:
case FLOAT8OID:
case CASHOID:
case NUMERICOID:
/*
* Other numeric types => use R REAL
* Note pgsql int8 is mapped to R REAL
* because R INTEGER is only 4 byte
*/
PROTECT(result = NEW_NUMERIC(numels));
break;
case BOOLOID:
PROTECT(result = NEW_LOGICAL(numels));
break;
default:
/* Everything else is defaulted to string */
PROTECT(result = NEW_CHARACTER(numels));
}
UNPROTECT(1);
return result;
}
/*
* given a single non-array pg value, convert to its R value representation
*/
static void
pg_get_one_r(char *value, Oid typtype, SEXP *obj, int elnum)
{
switch (typtype)
{
case OIDOID:
case INT2OID:
case INT4OID:
/* 2 and 4 byte integer pgsql datatype => use R INTEGER */
if (value)
INTEGER_DATA(*obj)[elnum] = atoi(value);
else
INTEGER_DATA(*obj)[elnum] = NA_INTEGER;
break;
case INT8OID:
case FLOAT4OID:
case FLOAT8OID:
case CASHOID:
case NUMERICOID:
/*
* Other numeric types => use R REAL
* Note pgsql int8 is mapped to R REAL
* because R INTEGER is only 4 byte
*/
if (value)
NUMERIC_DATA(*obj)[elnum] = atof(value);
else
NUMERIC_DATA(*obj)[elnum] = NA_REAL;
break;
case BOOLOID:
if (value)
LOGICAL_DATA(*obj)[elnum] = ((*value == 't') ? 1 : 0);
else
LOGICAL_DATA(*obj)[elnum] = NA_LOGICAL;
break;
default:
/* Everything else is defaulted to string */
if (value)
SET_STRING_ELT(*obj, elnum, COPY_TO_USER_STRING(value));
else
SET_STRING_ELT(*obj, elnum, NA_STRING);
}
}
/*
* given an R value, convert to its pg representation
*/
Datum
r_get_pg(SEXP rval, plr_function *function, FunctionCallInfo fcinfo)
{
bool isnull = false;
Datum result;
if (CALLED_AS_TRIGGER(fcinfo))
result = get_trigger_tuple(rval, function, fcinfo, &isnull);
else if (function->result_istuple || fcinfo->flinfo->fn_retset)
result = get_tuplestore(rval, function, fcinfo, &isnull);
else
{
/* short circuit if return value is Null */
if (rval == R_NilValue || isNull(rval)) /* probably redundant */
{
fcinfo->isnull = true;
return (Datum) 0;
}
if (function->result_elem == 0)
result = get_scalar_datum(rval, function->result_in_func, function->result_elem, &isnull);
else
result = get_array_datum(rval, function, 0, &isnull);
}
if (isnull)
fcinfo->isnull = true;
return result;
}
static Datum
get_trigger_tuple(SEXP rval, plr_function *function, FunctionCallInfo fcinfo, bool *isnull)
{
TriggerData *trigdata = (TriggerData *) fcinfo->context;
TupleDesc tupdesc = trigdata->tg_relation->rd_att;
AttInMetadata *attinmeta;
MemoryContext fn_mcxt;
MemoryContext oldcontext;
int nc;
int nr;
char **values;
HeapTuple tuple = NULL;
int i, j;
int nc_dropped = 0;
int df_colnum = 0;
SEXP result;
SEXP dfcol;
/* short circuit statement level trigger which always returns NULL */
if (TRIGGER_FIRED_FOR_STATEMENT(trigdata->tg_event))
{
/* special for triggers, don't set isnull flag */
*isnull = false;
return (Datum) 0;
}
/* short circuit if return value is Null */
if (rval == R_NilValue || isNull(rval)) /* probably redundant */
{
/* special for triggers, don't set isnull flag */
*isnull = false;
return (Datum) 0;
}
if (isFrame(rval))
nc = length(rval);
else if (isMatrix(rval))
nc = ncols(rval);
else
nc = 1;
PROTECT(dfcol = VECTOR_ELT(rval, 0));
nr = length(dfcol);
UNPROTECT(1);
if (nr != 1)
ereport(ERROR,
(errcode(ERRCODE_DATA_EXCEPTION),
errmsg("incorrect function return type"),
errdetail("function return value cannot have more " \
"than one row")));
/*
* Count number of dropped attributes so we can add them back to
* the return tuple
*/
for (j = 0; j < nc; j++)
{
if (tupdesc->attrs[j]->attisdropped)
nc_dropped++;
}
/*
* Check to make sure we have the same number of columns
* to return as there are attributes in the return tuple.
* Note that we have to account for the number of dropped
* columns.
*
* Note we will attempt to coerce the R values into whatever
* the return attribute type is and depend on the "in"
* function to complain if needed.
*/
if (nc + nc_dropped != tupdesc->natts)
ereport(ERROR,
(errcode(ERRCODE_DATATYPE_MISMATCH),
errmsg("returned tuple structure does not match table " \
"of trigger event")));
fn_mcxt = fcinfo->flinfo->fn_mcxt;
oldcontext = MemoryContextSwitchTo(fn_mcxt);
attinmeta = TupleDescGetAttInMetadata(tupdesc);
/* coerce columns to character in advance */
PROTECT(result = NEW_LIST(nc));
for (j = 0; j < nc; j++)
{
PROTECT(dfcol = VECTOR_ELT(rval, j));
if(!isFactor(dfcol))
{
SEXP obj;
PROTECT(obj = AS_CHARACTER(dfcol));
SET_VECTOR_ELT(result, j, obj);
UNPROTECT(1);
}
else
{
SEXP t;
for (t = ATTRIB(dfcol); t != R_NilValue; t = CDR(t))
{
if(TAG(t) == R_LevelsSymbol)
{
PROTECT(SETCAR(t, AS_CHARACTER(CAR(t))));
UNPROTECT(1);
break;
}
}
SET_VECTOR_ELT(result, j, dfcol);
}
UNPROTECT(1);
}
values = (char **) palloc((nc + nc_dropped) * sizeof(char *));
for(i = 0; i < nr; i++)
{
for (j = 0; j < nc + nc_dropped; j++)
{
/* insert NULL for dropped attributes */
if (tupdesc->attrs[j]->attisdropped)
values[j] = NULL;
else
{
PROTECT(dfcol = VECTOR_ELT(result, df_colnum));
if(isFactor(dfcol))
{
SEXP t;
for (t = ATTRIB(dfcol); t != R_NilValue; t = CDR(t))
{
if(TAG(t) == R_LevelsSymbol)
{
SEXP obj;
int idx = INTEGER(dfcol)[i] - 1;
PROTECT(obj = CAR(t));
values[j] = pstrdup(CHAR(STRING_ELT(obj, idx)));
UNPROTECT(1);
break;
}
}
}
else
{
if (STRING_ELT(dfcol, 0) != NA_STRING)
values[j] = pstrdup(CHAR(STRING_ELT(dfcol, i)));
else
values[j] = NULL;
}
UNPROTECT(1);
df_colnum++;
}
}
/* construct the tuple */
tuple = BuildTupleFromCStrings(attinmeta, values);
for (j = 0; j < nc; j++)
if (values[j] != NULL)
pfree(values[j]);
}
MemoryContextSwitchTo(oldcontext);
if (tuple)
{
*isnull = false;
return PointerGetDatum(tuple);
}
else
{
/* special for triggers, don't set isnull flag */
*isnull = false;
return (Datum) 0;
}
}
static Datum
get_tuplestore(SEXP rval, plr_function *function, FunctionCallInfo fcinfo, bool *isnull)
{
bool retset = fcinfo->flinfo->fn_retset;
ReturnSetInfo *rsinfo = (ReturnSetInfo *) fcinfo->resultinfo;
TupleDesc tupdesc;
AttInMetadata *attinmeta;
MemoryContext per_query_ctx;
MemoryContext oldcontext;
int nc;
/* check to see if caller supports us returning a tuplestore */
if (!rsinfo || !(rsinfo->allowedModes & SFRM_Materialize))
ereport(ERROR,
(errcode(ERRCODE_SYNTAX_ERROR),
errmsg("materialize mode required, but it is not "
"allowed in this context")));
if (isFrame(rval))
nc = length(rval);
else if (isList(rval) || isNewList(rval))
nc = length(rval);
else if (isMatrix(rval))
nc = ncols(rval);
else
nc = 1;
per_query_ctx = rsinfo->econtext->ecxt_per_query_memory;
oldcontext = MemoryContextSwitchTo(per_query_ctx);
/* get the requested return tuple description */
tupdesc = CreateTupleDescCopy(rsinfo->expectedDesc);
/*
* Check to make sure we have the same number of columns
* to return as there are attributes in the return tuple.
*
* Note we will attempt to coerce the R values into whatever
* the return attribute type is and depend on the "in"
* function to complain if needed.
*/
if (nc != tupdesc->natts)
ereport(ERROR,
(errcode(ERRCODE_SYNTAX_ERROR),
errmsg("query-specified return tuple and "
"function returned data.frame are not compatible")));
attinmeta = TupleDescGetAttInMetadata(tupdesc);
/* OK, go to work */
rsinfo->returnMode = SFRM_Materialize;
if (isFrame(rval))
rsinfo->setResult = get_frame_tuplestore(rval, function, attinmeta, per_query_ctx, retset);
else if (isList(rval) || isNewList(rval))
rsinfo->setResult = get_frame_tuplestore(rval, function, attinmeta, per_query_ctx, retset);
else if (isMatrix(rval))
rsinfo->setResult = get_matrix_tuplestore(rval, function, attinmeta, per_query_ctx, retset);
else
rsinfo->setResult = get_generic_tuplestore(rval, function, attinmeta, per_query_ctx, retset);
/*
* SFRM_Materialize mode expects us to return a NULL Datum. The actual
* tuples are in our tuplestore and passed back through
* rsinfo->setResult. rsinfo->setDesc is set to the tuple description
* that we actually used to build our tuples with, so the caller can
* verify we did what it was expecting.
*/
rsinfo->setDesc = tupdesc;
MemoryContextSwitchTo(oldcontext);
*isnull = true;
return (Datum) 0;
}
Datum
get_scalar_datum(SEXP rval, FmgrInfo result_in_func, Oid result_elem, bool *isnull)
{
Datum dvalue;
SEXP obj;
char *value;
/*
* if the element type is zero, we don't have an array,
* so coerce to string and take the first element as a scalar
*/
PROTECT(obj = AS_CHARACTER(rval));
value = CHAR(STRING_ELT(obj, 0));
if (STRING_ELT(obj, 0) == NA_STRING)
{
*isnull = true;
dvalue = (Datum) 0;
}
else if (value != NULL)
{
dvalue = FunctionCall3(&result_in_func,
CStringGetDatum(value),
ObjectIdGetDatum(result_elem),
Int32GetDatum(-1));
}
else
{
*isnull = true;
dvalue = (Datum) 0;
}
UNPROTECT(1);
return dvalue;
}
static Datum
get_array_datum(SEXP rval, plr_function *function, int col, bool *isnull)
{
SEXP rdims;
int ndims;
int objlen = length(rval);
if (objlen > 0)
{
/* two supported special cases */
if (isFrame(rval))
return get_frame_array_datum(rval, function, col, isnull);
else if (isMatrix(rval))
return get_md_array_datum(rval, 2 /* matrix is 2D */, function, col, isnull);
PROTECT(rdims = getAttrib(rval, R_DimSymbol));
ndims = length(rdims);
UNPROTECT(1);
/* 2D and 3D arrays are specifically supported too */
if (ndims == 2 || ndims == 3)
return get_md_array_datum(rval, ndims, function, col, isnull);
/* everything else */
return get_generic_array_datum(rval, function, col, isnull);
}
else
{
/* create an empty array */
return PointerGetDatum(construct_empty_array(function->result_elem));
}
}
static Datum
get_frame_array_datum(SEXP rval, plr_function *function, int col, bool *isnull)
{
Datum dvalue;
SEXP obj;
char *value;
Oid result_elem;
FmgrInfo in_func;
int typlen;
bool typbyval;
char typalign;
int i;
Datum *dvalues = NULL;
ArrayType *array;
int nr = 0;
int nc = length(rval);
int ndims = 2;
int dims[ndims];
int lbs[ndims];
int idx;
SEXP dfcol = NULL;
int j;
bool *nulls = NULL;
bool have_nulls = FALSE;
if (nc < 1)
/* internal error */
elog(ERROR, "plr: bad internal representation of data.frame");
if (function->result_istuple)
{
result_elem = function->result_fld_elem_typid[col];
in_func = function->result_fld_elem_in_func[col];
typlen = function->result_fld_elem_typlen[col];
typbyval = function->result_fld_elem_typbyval[col];
typalign = function->result_fld_elem_typalign[col];
}
else
{
result_elem = function->result_elem;
in_func = function->result_elem_in_func;
typlen = function->result_elem_typlen;
typbyval = function->result_elem_typbyval;
typalign = function->result_elem_typalign;
}
for (j = 0; j < nc; j++)
{
if (TYPEOF(rval) == VECSXP)
PROTECT(dfcol = VECTOR_ELT(rval, j));
else if (TYPEOF(rval) == LISTSXP)
{
PROTECT(dfcol = CAR(rval));
rval = CDR(rval);
}
else
/* internal error */
elog(ERROR, "plr: bad internal representation of data.frame");
if (ATTRIB(dfcol) == R_NilValue)
PROTECT(obj = AS_CHARACTER(dfcol));
else
PROTECT(obj = AS_CHARACTER(CAR(ATTRIB(dfcol))));
if (j == 0)
{
nr = length(obj);
dvalues = (Datum *) palloc(nr * nc * sizeof(Datum));
nulls = (bool *) palloc(nr * nc * sizeof(bool));
}
for(i = 0; i < nr; i++)
{
value = CHAR(STRING_ELT(obj, i));
idx = ((i * nc) + j);
if (STRING_ELT(obj, i) == NA_STRING || value == NULL)
{
nulls[idx] = TRUE;
have_nulls = TRUE;
}
else
{
nulls[idx] = FALSE;
dvalues[idx] = FunctionCall3(&in_func,
CStringGetDatum(value),
(Datum) 0,
Int32GetDatum(-1));
}
}
UNPROTECT(2);
}
dims[0] = nr;
dims[1] = nc;
lbs[0] = 1;
lbs[1] = 1;
if (!have_nulls)
array = construct_md_array(dvalues, NULL, ndims, dims, lbs,
result_elem, typlen, typbyval, typalign);
else
array = construct_md_array(dvalues, nulls, ndims, dims, lbs,
result_elem, typlen, typbyval, typalign);
dvalue = PointerGetDatum(array);
return dvalue;
}
static Datum
get_md_array_datum(SEXP rval, int ndims, plr_function *function, int col, bool *isnull)
{
Datum dvalue;
SEXP obj;
SEXP rdims;
char *value;
Oid result_elem;
FmgrInfo in_func;
int typlen;
bool typbyval;
char typalign;
int i, j, k;
Datum *dvalues = NULL;
ArrayType *array;
int nitems;
int nr = 1;
int nc = 1;
int nz = 1;
int dims[ndims];
int lbs[ndims];
int idx;
int cntr = 0;
bool *nulls;
bool have_nulls = FALSE;
if (function->result_istuple)
{
result_elem = function->result_fld_elem_typid[col];
in_func = function->result_fld_elem_in_func[col];
typlen = function->result_fld_elem_typlen[col];
typbyval = function->result_fld_elem_typbyval[col];
typalign = function->result_fld_elem_typalign[col];
}
else
{
result_elem = function->result_elem;
in_func = function->result_elem_in_func;
typlen = function->result_elem_typlen;
typbyval = function->result_elem_typbyval;
typalign = function->result_elem_typalign;
}
PROTECT(rdims = getAttrib(rval, R_DimSymbol));
for(i = 0; i < ndims; i++)
{
dims[i] = INTEGER(rdims)[i];
lbs[i] = 1;
switch (i)
{
case 0:
nr = dims[i];
break;
case 1:
nc = dims[i];
break;
case 2:
nz = dims[i];
break;
default:
/* anything higher is currently unsupported */
ereport(ERROR,
(errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
errmsg("greater than 3-dimensional arrays are " \
"not yet supported")));
}
}
UNPROTECT(1);
nitems = nr * nc * nz;
dvalues = (Datum *) palloc(nitems * sizeof(Datum));
nulls = (bool *) palloc(nitems * sizeof(bool));
PROTECT(obj = AS_CHARACTER(rval));
for (i = 0; i < nr; i++)
{
for (j = 0; j < nc; j++)
{
for (k = 0; k < nz; k++)
{
int arridx = cntr++;
idx = (k * nr * nc) + (j * nr) + i;
value = CHAR(STRING_ELT(obj, idx));
if (STRING_ELT(obj, idx) == NA_STRING || value == NULL)
{
nulls[arridx] = TRUE;
have_nulls = TRUE;
}
else
{
nulls[arridx] = FALSE;
dvalues[arridx] = FunctionCall3(&in_func,
CStringGetDatum(value),
(Datum) 0,
Int32GetDatum(-1));
}
}