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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 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"
static void pg_get_one_r(char *value, Oid arg_out_fn_oid, SEXP obj,
int elnum);
static SEXP get_r_vector(Oid typtype, int64 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_simple_array_datum(SEXP rval, Oid typelem, 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);
static Tuplestorestate *get_matrix_tuplestore(SEXP rval,
plr_function *function,
AttInMetadata *attinmeta,
MemoryContext per_query_ctx);
static Tuplestorestate *get_generic_tuplestore(SEXP rval,
plr_function *function,
AttInMetadata *attinmeta,
MemoryContext per_query_ctx);
static SEXP coerce_to_char(SEXP rval);
static Datum r_get_tuple(SEXP rval, plr_function *function, FunctionCallInfo fcinfo);
extern char *last_R_error_msg;
/*
* 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;
/* add our value to it */
if (arg_typid != BYTEAOID)
{
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));
pg_get_one_r(value, arg_typid, result, 0);
UNPROTECT(1);
}
else
{
SEXP s, t, obj;
int status;
Datum dt_dvalue = PointerGetDatum(PG_DETOAST_DATUM(dvalue));
int bsize = VARSIZE((bytea *) dt_dvalue);
PROTECT(obj = get_r_vector(arg_typid, bsize));
memcpy((char *) RAW(obj),
VARDATA((bytea *) dt_dvalue),
bsize);
/*
* Need to construct a call to
* unserialize(rval)
*/
PROTECT(t = s = allocList(2));
SET_TYPEOF(s, LANGSXP);
SETCAR(t, install("unserialize"));
t = CDR(t);
SETCAR(t, obj);
PROTECT(result = R_tryEval(s, R_GlobalEnv, &status));
if(status != 0)
{
if (last_R_error_msg)
ereport(ERROR,
(errcode(ERRCODE_DATA_EXCEPTION),
errmsg("R interpreter expression evaluation error"),
errdetail("%s", last_R_error_msg)));
else
ereport(ERROR,
(errcode(ERRCODE_DATA_EXCEPTION),
errmsg("R interpreter expression evaluation error"),
errdetail("R expression evaluation error caught in \"unserialize\".")));
}
UNPROTECT(3);
}
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;
ArrayType *v;
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;
bool fast_track_type;
/* short-circuit for NULL datums */
if (dvalue == (Datum) NULL)
return R_NilValue;
v = DatumGetArrayTypeP(dvalue);
ndim = ARR_NDIM(v);
element_type = ARR_ELEMTYPE(v);
dim = ARR_DIMS(v);
nitems = ArrayGetNItems(ARR_NDIM(v), ARR_DIMS(v));
switch (element_type)
{
case INT4OID:
case FLOAT8OID:
fast_track_type = true;
break;
default:
fast_track_type = false;
}
/*
* Special case for pass-by-value data types, if the following conditions are met:
* designated fast_track_type
* no NULL elements
* 1 dimensional array only
* at least one element
*/
if (fast_track_type &&
typbyval &&
!ARR_HASNULL(v) &&
(ndim == 1) &&
(nitems > 0))
{
char *p = ARR_DATA_PTR(v);
/* get new vector of the appropriate type and length */
PROTECT(result = get_r_vector(element_type, nitems));
/* keep this in sync with switch above -- fast_track_type only */
switch (element_type)
{
case INT4OID:
Assert(sizeof(int) == 4);
memcpy(INTEGER_DATA(result), p, nitems * sizeof(int));
break;
case FLOAT8OID:
Assert(sizeof(double) == 8);
memcpy(NUMERIC_DATA(result), p, nitems * sizeof(double));
break;
default:
/* Everything else is error */
ereport(ERROR,
(errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
errmsg("direct array passthrough attempted for unsupported type")));
}
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);
}
UNPROTECT(1); /* result */
}
else
{
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++)
{
char *value;
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);
if (value != NULL)
pfree(value);
}
}
}
pfree(elem_values);
pfree(elem_nulls);
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);
}
UNPROTECT(1); /* result */
}
return result;
}
#ifdef HAVE_WINDOW_FUNCTIONS
/*
* Evaluate a window function's argument expression on a specified
* window frame, returning either an array or an R dataframe
* for the argno column in the frame, depending on whether
* the argno argument is of composite type or not
*
* winobj: PostgreSQL window object handle
* argno: argument number to evaluate (counted from 0)
* function: contains necessary info on how to output Datum as string for general case conversion
*/
SEXP
pg_window_frame_get_r(WindowObject winobj, int argno, plr_function* function)
{
char buf[256];
SEXP result, v, names, row_names;
int64 i, num_frame_row = 0;
int j, nc = 1, nc_effective = 1, df_colnum = 0;
Datum dvalue;
bool isnull, isout = false;
bool isrel = function->arg_is_rel[argno];
Oid element_type = function->arg_typid[argno];
FmgrInfo out_func = function->arg_out_func[argno];
/* for tuple arguments */
HeapTuple tuple;
HeapTupleHeader tuple_hdr;
Oid tupType;
int32 tupTypmod;
TupleDesc tupdesc;
/* for array arguments */
Oid typelem = function->arg_elem[argno];
int16 typlen;
bool typbyval;
char typdelim, typalign;
Oid typoutput, typioparam;
FmgrInfo outputproc;
int64 num_partition_rows = WinGetPartitionRowCount(winobj);
if (num_partition_rows < 1)
return R_NilValue;
/*
* Check to see if arg is an array type. typelem will be
* InvalidOid instead of actual element type if the type is not a
* varlena array.
*/
if (!isrel && typelem != InvalidOid)
{
typlen = function->arg_elem_typlen[argno];
typbyval = function->arg_elem_typbyval[argno];
typalign = function->arg_elem_typalign[argno];
outputproc = function->arg_elem_out_func[argno];
}
if (isrel)
{
/*
* Get current row for starters, setting mark
* Need this to get tuple info in order to build an R dataframe
*/
dvalue = WinGetFuncArgInFrame(winobj, argno, 0, WINDOW_SEEK_HEAD,
true, &isnull, &isout);
if (isout || isnull)
return R_NilValue;
/* Count non-dropped attributes so we can later ignore the dropped ones */
tuple_hdr = DatumGetHeapTupleHeader(dvalue);
tupType = HeapTupleHeaderGetTypeId(tuple_hdr);
tupTypmod = HeapTupleHeaderGetTypMod(tuple_hdr);
tupdesc = lookup_rowtype_tupdesc(tupType, tupTypmod);
nc = tupdesc->natts;
for (j = 0, nc_effective = 0; j < nc; j++)
{
if (!TUPLE_DESC_ATTR(tupdesc,j)->attisdropped)
nc_effective++;
}
/*
* Allocate the resulting data.frame initially as a list,
* and also allocate a names vector for the column names.
* If !isrel, then nc == nc_effective == 1, see below
*/
PROTECT(names = NEW_CHARACTER(nc_effective));
}
PROTECT(result = NEW_LIST(nc_effective));
for (;; num_frame_row++)
{
dvalue = WinGetFuncArgInFrame(winobj, argno, num_frame_row, WINDOW_SEEK_HEAD, num_frame_row == 0, &isnull, &isout);
if (isout)
break;
if (isrel && !isnull)
{
/* Allocate new heaptuple for this row and set contents */
tuple = palloc(sizeof(HeapTupleData));
tuple_hdr = DatumGetHeapTupleHeader(dvalue);
tuple->t_len = HeapTupleHeaderGetDatumLength(tuple_hdr);
ItemPointerSetInvalid(&(tuple->t_self));
tuple->t_tableOid = InvalidOid;
tuple->t_data = tuple_hdr;
}
for (df_colnum = 0, j = 0; j < nc; j++)
{
if (isrel)
{
/* ignore dropped attributes */
if (TUPLE_DESC_ATTR(tupdesc,j)->attisdropped)
continue;
/* set column names */
if (num_frame_row == 0)
SET_COLUMN_NAMES;
/* update column datatype oid and check for embedded array */
element_type = SPI_gettypeid(tupdesc, j + 1);
typelem = get_element_type(element_type);
if (typelem != InvalidOid)
{
get_type_io_data(typelem, IOFunc_output, &typlen, &typbyval, &typalign, &typdelim, &typioparam, &typoutput);
fmgr_info(typoutput, &outputproc);
}
}
if (num_frame_row == 0)
{
/* allocate new vector of the appropriate type and length */
if (typelem == InvalidOid)
/* dealing with scalars of element_type */
PROTECT(v = get_r_vector(element_type, num_partition_rows));
else
/* dealing with arrays (containing typelem's) */
PROTECT(v = NEW_LIST(num_partition_rows));
SET_VECTOR_ELT(result, df_colnum, v);
UNPROTECT(1);
}
v = VECTOR_ELT(result, df_colnum);
if (!isrel && typelem == InvalidOid)
{
/* scalar type */
char *value;
switch (element_type)
{
case BOOLOID:
LOGICAL_DATA(v)[num_frame_row] = isnull ? NA_LOGICAL : DatumGetBool(dvalue);
break;
case INT8OID:
NUMERIC_DATA(v)[num_frame_row] = isnull ? NA_REAL : (double)DatumGetInt64(dvalue);
break;
case INT2OID:
case INT4OID:
case OIDOID:
INTEGER_DATA(v)[num_frame_row] = isnull ? NA_INTEGER : DatumGetInt32(dvalue);
break;
case FLOAT4OID:
NUMERIC_DATA(v)[num_frame_row] = isnull ? NA_REAL : DatumGetFloat4(dvalue);
break;
case FLOAT8OID:
NUMERIC_DATA(v)[num_frame_row] = isnull ? NA_REAL : DatumGetFloat8(dvalue);
break;
default:
value = isnull ? NULL :
DatumGetCString(FunctionCall3(&out_func, dvalue, (Datum) 0, Int32GetDatum(-1)));
/*
* 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, v, num_frame_row);
if (value != NULL)
pfree(value);
}
}
else if (isrel && typelem == InvalidOid)
{
char *value = isnull ? NULL : SPI_getvalue(tuple, tupdesc, j + 1);
pg_get_one_r(value, element_type, v, num_frame_row);
if (value != NULL)
pfree(value);
}
else /* typelem != InvalidOid, i.e.: */
{
/* array type (regardless of whether embedded in a tuple or not) */
SEXP fldvec_elem;
Datum value = dvalue;
bool isvaluenull = isnull;
if (isrel && !isnull)
value = SPI_getbinval(tuple, tupdesc, j + 1, &isvaluenull);
if (!isvaluenull)
PROTECT(fldvec_elem = pg_array_get_r(value, outputproc, typlen, typbyval, typalign));
else
PROTECT(fldvec_elem = R_NilValue);
SET_VECTOR_ELT(v, num_frame_row, fldvec_elem);
UNPROTECT(1);
}
df_colnum++;
}
if (isrel && !isnull)
pfree(tuple);
}
/* Resize all vectors from num_partition_rows (rows in partition) down to num_frame_row (rows in frame) */
if (num_frame_row < num_partition_rows)
{
for (df_colnum = 0, j = 0; j < nc; j++)
{
if (isrel && TUPLE_DESC_ATTR(tupdesc,j)->attisdropped)
continue;
v = VECTOR_ELT(result, df_colnum);
SET_VECTOR_ELT(result, df_colnum, SET_LENGTH(v, num_frame_row));
df_colnum++;
}
}
/* for non-tuple arguments return now */
if (!isrel)
{
v = VECTOR_ELT(result, 0);
UNPROTECT(1); /* result */
return v;
}
/* attach the column names */
setAttrib(result, R_NamesSymbol, names);
/* attach row names - basically just the row number, zero based */
PROTECT(row_names = allocVector(STRSXP, num_frame_row));
for (i = 0; i < num_frame_row; i++)
{
sprintf(buf, "%ld", 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"));
ReleaseTupleDesc(tupdesc);
UNPROTECT(3); /* result, names, row-names */
return result;
}
#endif
/*
* Given an array of pg tuples, convert to an R list
* the created object is not quite actually a 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 (!TUPLE_DESC_ATTR(tupdesc,i)->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,
typioparam;
FmgrInfo outputproc;
char typalign;
/* ignore dropped attributes */
if (TUPLE_DESC_ATTR(tupdesc,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, &typioparam, &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);
if (!isnull)
PROTECT(fldvec_elem = pg_array_get_r(dvalue, outputproc, typlen, typbyval, typalign));
else
PROTECT(fldvec_elem = R_NilValue);
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, int64 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;
case BYTEAOID:
PROTECT(result = NEW_RAW(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)
{
/* fixup for Visual Studio 2013, _MSC_VER == 1916*/
char *endptr = NULL;
const double el = strtod(value, &endptr);
NUMERIC_DATA(obj)[elnum] = value==endptr ? R_NaN : el;
}
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 (fcinfo->flinfo->fn_retset)
result = get_tuplestore(rval, function, fcinfo, &isnull);
else if (function->result_natts > 1)
result = r_get_tuple(rval, function, fcinfo);
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_fld_elem_typid[0] == function->result_fld_typid[0])
result = get_scalar_datum(rval, function->result_fld_typid[0], function->result_fld_elem_in_func[0], &isnull);
else
result = get_array_datum(rval, function, 0, &isnull);
}
if (isnull)
fcinfo->isnull = true;
return result;
}
/*
* Given an R value (data frame or list), coerce it to list
* and get a tuple representing first elements of each list element.
*
* This is used to return a single RECORD (not SETOF)
*/
Datum
r_get_tuple(SEXP rval, plr_function *function, FunctionCallInfo fcinfo)
{
Oid oid;
TupleDesc tupdesc;
HeapTuple tuple;
Datum *values;
bool *isnull;
int i, min_length;
if (!(isFrame(rval) || isNewList(rval) || isList(rval)))
elog(ERROR, "Only list alike is expected");
if (TYPEFUNC_COMPOSITE != get_call_result_type(fcinfo, &oid, &tupdesc))
elog(ERROR, "return type must be a row type");
min_length = Min(function->result_natts, length(rval));
//if (tupdesc->natts != length(rval))
// elog(ERROR, "same length expected");
BlessTupleDesc(tupdesc);
values = palloc0(sizeof(Datum) * tupdesc->natts);
isnull = palloc0(sizeof(bool) * tupdesc->natts);
for (i = 0; i < min_length; i++)
{
SEXP el = VECTOR_ELT(rval, i);
if (function->result_fld_typid[i] != function->result_fld_elem_typid[i])
values[i] = get_array_datum(el, function, i, isnull + i);
else
values[i] = get_scalar_datum(el, function->result_fld_elem_typid[i], function->result_fld_elem_in_func[i], isnull + i);
}
tuple = heap_form_tuple(tupdesc, values, isnull);
pfree(values);
pfree(isnull);
return HeapTupleGetDatum(tuple);
}
/*
* Similar to r_get_pg, given an R value, convert to its pg representation
* Other than scalar, currently only prepared to be used with simple 1D vector
*/
Datum
get_datum(SEXP rval, Oid typid, Oid typelem, FmgrInfo in_func, bool *isnull)
{
Datum result;
/* short circuit if return value is Null */
if (rval == R_NilValue || isNull(rval)) /* probably redundant */
{
*isnull = true;
return (Datum) 0;
}
if (typelem == InvalidOid)
result = get_scalar_datum(rval, typid, in_func, isnull);
else
result = get_simple_array_datum(rval, typelem, isnull);
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 (TUPLE_DESC_ATTR(tupdesc,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 = coerce_to_char(dfcol));
SET_VECTOR_ELT(result, j, obj);
UNPROTECT(1);