/**
* @brief Internal function for retrieving if the type is composite and, if
* yes, the PostgreSQL HeapTupleHeader
*
* @param inTypeID PostgreSQL OID for the type
* @param inDatum PostgreSQL Datum
* @param[out] outIsTuple True if the type is a composite type
* @param[out] outTupleHeader A PostgreSQL HeapTupleHeader that will be updated
* if type is composite
*
* @internal
* Having this as separate function isolates the PG_TRY block. Otherwise,
* the compiler might warn that the longjmp could clobber local variables.
*/
inline
void
AbstractionLayer::AnyType::backendGetIsCompositeTypeAndHeapTupleHeader(
Oid inTypeID, Datum inDatum, bool &outIsTuple,
HeapTupleHeader &outTupleHeader) const {
boost::tribool isComposite = isRowTypeInCache(inTypeID);
if (!isComposite) {
outIsTuple = false;
return;
}
bool exceptionOccurred = false;
PG_TRY(); {
if (boost::indeterminate(isComposite))
outIsTuple = isRowTypeInCache(inTypeID, type_is_rowtype(inTypeID));
if (outIsTuple)
outTupleHeader = DatumGetHeapTupleHeader(inDatum);
} PG_CATCH(); {
exceptionOccurred = true;
} PG_END_TRY();
if (exceptionOccurred)
throw PGException();
}
/**
* @brief Internal function for retrieving if the type is composite and, if
* yes, the PostgreSQL TupleDesc
*
* @param inTargetTypeID PostgreSQL OID for the type
* @param[in,out] ioTargetIsComposite On input, whether the type is composite.
* \c indeterminate if unknown. On return, the updated boolean value.
* @param[out] outTupleHandle TupleHandle that will be updated if type is
* composite
*
* @internal
* Having this as separate function isolates the PG_TRY block. Otherwise,
* the compiler might warn that the longjmp could clobber local variables.
*/
inline
void
AbstractionLayer::AnyType::backendGetIsCompositeTypeAndTupleHandle(
Oid inTargetTypeID, boost::tribool &ioTargetIsComposite,
TupleHandle &outTupleHandle) const {
bool exceptionOccurred = false;
PG_TRY(); {
if (boost::indeterminate(ioTargetIsComposite))
ioTargetIsComposite = isRowTypeInCache(inTargetTypeID,
type_is_rowtype(inTargetTypeID));
if (ioTargetIsComposite) {
// Don't ereport errors. We set typmod < 0, and this should
// not cause an error because compound types in another
// compound can never be transient. (I think)
outTupleHandle.desc = lookup_rowtype_tupdesc_noerror(
inTargetTypeID, -1, true);
outTupleHandle.shouldReleaseDesc = true;
}
} PG_CATCH(); {
exceptionOccurred = true;
} PG_END_TRY();
if (exceptionOccurred)
throw PGException();
}
static void
PLy_output_datum_func2(PLyObToDatum *arg, HeapTuple typeTup)
{
Form_pg_type typeStruct = (Form_pg_type) GETSTRUCT(typeTup);
Oid element_type;
perm_fmgr_info(typeStruct->typinput, &arg->typfunc);
arg->typoid = HeapTupleGetOid(typeTup);
arg->typmod = -1;
arg->typioparam = getTypeIOParam(typeTup);
arg->typbyval = typeStruct->typbyval;
element_type = get_base_element_type(arg->typoid);
/*
* Select a conversion function to convert Python objects to PostgreSQL
* datums. Most data types can go through the generic function.
*/
switch (getBaseType(element_type ? element_type : arg->typoid))
{
case BOOLOID:
arg->func = PLyObject_ToBool;
break;
case BYTEAOID:
arg->func = PLyObject_ToBytea;
break;
default:
arg->func = PLyObject_ToDatum;
break;
}
/* Composite types need their own input routine, though */
if (typeStruct->typtype == TYPTYPE_COMPOSITE)
{
arg->func = PLyObject_ToComposite;
}
if (element_type)
{
char dummy_delim;
Oid funcid;
if (type_is_rowtype(element_type))
arg->func = PLyObject_ToComposite;
arg->elm = PLy_malloc0(sizeof(*arg->elm));
arg->elm->func = arg->func;
arg->func = PLySequence_ToArray;
arg->elm->typoid = element_type;
arg->elm->typmod = -1;
get_type_io_data(element_type, IOFunc_input,
&arg->elm->typlen, &arg->elm->typbyval, &arg->elm->typalign, &dummy_delim,
&arg->elm->typioparam, &funcid);
perm_fmgr_info(funcid, &arg->elm->typfunc);
}
}
/**
* Convert postgres Datum into a ConcreteValue object.
*/
AbstractValueSPtr AbstractPGValue::DatumToValue(bool inMemoryIsWritable,
Oid inTypeID, Datum inDatum) const {
// First check if datum is rowtype
if (type_is_rowtype(inTypeID)) {
HeapTupleHeader pgTuple = DatumGetHeapTupleHeader(inDatum);
return AbstractValueSPtr(new PGValue<HeapTupleHeader>(pgTuple));
} else if (type_is_array(inTypeID)) {
ArrayType *pgArray = DatumGetArrayTypeP(inDatum);
if (ARR_NDIM(pgArray) != 1)
throw std::invalid_argument("Multidimensional arrays not yet supported");
if (ARR_HASNULL(pgArray))
throw std::invalid_argument("Arrays with NULLs not yet supported");
switch (ARR_ELEMTYPE(pgArray)) {
case FLOAT8OID: {
MemHandleSPtr memoryHandle(new PGArrayHandle(pgArray));
if (inMemoryIsWritable) {
return AbstractValueSPtr(
new ConcreteValue<Array<double> >(
Array<double>(memoryHandle,
boost::extents[ ARR_DIMS(pgArray)[0] ])
)
);
} else {
return AbstractValueSPtr(
new ConcreteValue<Array_const<double> >(
Array_const<double>(memoryHandle,
boost::extents[ ARR_DIMS(pgArray)[0] ])
)
);
}
}
}
}
switch (inTypeID) {
case BOOLOID: return AbstractValueSPtr(
new ConcreteValue<bool>( DatumGetBool(inDatum) ));
case INT2OID: return AbstractValueSPtr(
new ConcreteValue<int16_t>( DatumGetInt16(inDatum) ));
case INT4OID: return AbstractValueSPtr(
new ConcreteValue<int32_t>( DatumGetInt32(inDatum) ));
case INT8OID: return AbstractValueSPtr(
new ConcreteValue<int64_t>( DatumGetInt64(inDatum) ));
case FLOAT4OID: return AbstractValueSPtr(
new ConcreteValue<float>( DatumGetFloat4(inDatum) ));
case FLOAT8OID: return AbstractValueSPtr(
new ConcreteValue<double>( DatumGetFloat8(inDatum) ));
}
return AbstractValueSPtr();
}
Datum
hstore_populate_record(PG_FUNCTION_ARGS)
{
Oid argtype = get_fn_expr_argtype(fcinfo->flinfo, 0);
HStore *hs;
HEntry *entries;
char *ptr;
HeapTupleHeader rec;
Oid tupType;
int32 tupTypmod;
TupleDesc tupdesc;
HeapTupleData tuple;
HeapTuple rettuple;
RecordIOData *my_extra;
int ncolumns;
int i;
Datum *values;
bool *nulls;
if (!type_is_rowtype(argtype))
ereport(ERROR,
(errcode(ERRCODE_DATATYPE_MISMATCH),
errmsg("first argument must be a rowtype")));
if (PG_ARGISNULL(0))
{
if (PG_ARGISNULL(1))
PG_RETURN_NULL();
rec = NULL;
/*
* have no tuple to look at, so the only source of type info is the
* argtype. The lookup_rowtype_tupdesc call below will error out if we
* don't have a known composite type oid here.
*/
tupType = argtype;
tupTypmod = -1;
}
else
{
rec = PG_GETARG_HEAPTUPLEHEADER(0);
if (PG_ARGISNULL(1))
PG_RETURN_POINTER(rec);
/* Extract type info from the tuple itself */
tupType = HeapTupleHeaderGetTypeId(rec);
tupTypmod = HeapTupleHeaderGetTypMod(rec);
}
hs = PG_GETARG_HS(1);
entries = ARRPTR(hs);
ptr = STRPTR(hs);
/*
* if the input hstore is empty, we can only skip the rest if we were
* passed in a non-null record, since otherwise there may be issues with
* domain nulls.
*/
if (HS_COUNT(hs) == 0 && rec)
PG_RETURN_POINTER(rec);
tupdesc = lookup_rowtype_tupdesc(tupType, tupTypmod);
ncolumns = tupdesc->natts;
if (rec)
{
/* Build a temporary HeapTuple control structure */
tuple.t_len = HeapTupleHeaderGetDatumLength(rec);
ItemPointerSetInvalid(&(tuple.t_self));
//tuple.t_tableOid = InvalidOid;
tuple.t_data = rec;
}
/*
* We arrange to look up the needed I/O info just once per series of
* calls, assuming the record type doesn't change underneath us.
*/
my_extra = (RecordIOData *) fcinfo->flinfo->fn_extra;
if (my_extra == NULL ||
my_extra->ncolumns != ncolumns)
{
fcinfo->flinfo->fn_extra =
MemoryContextAlloc(fcinfo->flinfo->fn_mcxt,
sizeof(RecordIOData) - sizeof(ColumnIOData)
+ ncolumns * sizeof(ColumnIOData));
my_extra = (RecordIOData *) fcinfo->flinfo->fn_extra;
my_extra->record_type = InvalidOid;
my_extra->record_typmod = 0;
}
if (my_extra->record_type != tupType ||
my_extra->record_typmod != tupTypmod)
{
MemSet(my_extra, 0,
sizeof(RecordIOData) - sizeof(ColumnIOData)
+ ncolumns * sizeof(ColumnIOData));
my_extra->record_type = tupType;
my_extra->record_typmod = tupTypmod;
my_extra->ncolumns = ncolumns;
}
values = (Datum *) palloc(ncolumns * sizeof(Datum));
nulls = (bool *) palloc(ncolumns * sizeof(bool));
if (rec)
{
/* Break down the tuple into fields */
heap_deform_tuple(&tuple, tupdesc, values, nulls);
}
else
{
for (i = 0; i < ncolumns; ++i)
{
values[i] = (Datum) 0;
nulls[i] = true;
}
}
for (i = 0; i < ncolumns; ++i)
{
ColumnIOData *column_info = &my_extra->columns[i];
Oid column_type = tupdesc->attrs[i]->atttypid;
char *value;
int idx;
int vallen;
/* Ignore dropped columns in datatype */
if (tupdesc->attrs[i]->attisdropped)
{
nulls[i] = true;
continue;
}
idx = hstoreFindKey(hs, 0,
NameStr(tupdesc->attrs[i]->attname),
strlen(NameStr(tupdesc->attrs[i]->attname)));
/*
* we can't just skip here if the key wasn't found since we might have
* a domain to deal with. If we were passed in a non-null record
* datum, we assume that the existing values are valid (if they're
* not, then it's not our fault), but if we were passed in a null,
* then every field which we don't populate needs to be run through
* the input function just in case it's a domain type.
*/
if (idx < 0 && rec)
continue;
/*
* Prepare to convert the column value from text
*/
if (column_info->column_type != column_type)
{
getTypeInputInfo(column_type,
&column_info->typiofunc,
&column_info->typioparam);
fmgr_info_cxt(column_info->typiofunc, &column_info->proc,
fcinfo->flinfo->fn_mcxt);
column_info->column_type = column_type;
}
if (idx < 0 || HS_VALISNULL(entries, idx))
{
/*
* need InputFunctionCall to happen even for nulls, so that domain
* checks are done
*/
values[i] = InputFunctionCall(&column_info->proc, NULL,
column_info->typioparam,
tupdesc->attrs[i]->atttypmod);
nulls[i] = true;
}
else
{
vallen = HS_VALLEN(entries, idx);
value = palloc(1 + vallen);
memcpy(value, HS_VAL(entries, ptr, idx), vallen);
value[vallen] = 0;
values[i] = InputFunctionCall(&column_info->proc, value,
column_info->typioparam,
tupdesc->attrs[i]->atttypmod);
nulls[i] = false;
}
}
rettuple = heap_form_tuple(tupdesc, values, nulls);
ReleaseTupleDesc(tupdesc);
PG_RETURN_DATUM(HeapTupleGetDatum(rettuple));
}
/*
* Assign a tuple descriptor to variable specified by dno
*/
void
plpgsql_check_assign_tupdesc_dno(PLpgSQL_checkstate *cstate, int varno, TupleDesc tupdesc, bool isnull)
{
PLpgSQL_datum *target = cstate->estate->datums[varno];
switch (target->dtype)
{
case PLPGSQL_DTYPE_VAR:
{
PLpgSQL_var *var = (PLpgSQL_var *) target;
plpgsql_check_assign_to_target_type(cstate,
var->datatype->typoid, var->datatype->atttypmod,
TupleDescAttr(tupdesc, 0)->atttypid,
isnull);
}
break;
case PLPGSQL_DTYPE_ROW:
plpgsql_check_assign_tupdesc_row_or_rec(cstate, (PLpgSQL_row *) target, NULL, tupdesc, isnull);
break;
case PLPGSQL_DTYPE_REC:
plpgsql_check_assign_tupdesc_row_or_rec(cstate, NULL, (PLpgSQL_rec *) target, tupdesc, isnull);
break;
case PLPGSQL_DTYPE_RECFIELD:
{
Oid typoid;
int typmod;
plpgsql_check_target(cstate, varno, &typoid, &typmod);
plpgsql_check_assign_to_target_type(cstate,
typoid, typmod,
TupleDescAttr(tupdesc, 0)->atttypid,
isnull);
}
break;
case PLPGSQL_DTYPE_ARRAYELEM:
{
Oid expected_typoid;
int expected_typmod;
plpgsql_check_target(cstate, varno, &expected_typoid, &expected_typmod);
/* When target is composite type, then source is expanded already */
if (type_is_rowtype(expected_typoid))
{
PLpgSQL_rec rec;
plpgsql_check_recval_init(&rec);
PG_TRY();
{
plpgsql_check_recval_assign_tupdesc(cstate, &rec,
lookup_rowtype_tupdesc_noerror(expected_typoid,
expected_typmod,
true),
isnull);
plpgsql_check_assign_tupdesc_row_or_rec(cstate, NULL, &rec, tupdesc, isnull);
plpgsql_check_recval_release(&rec);
}
PG_CATCH();
{
plpgsql_check_recval_release(&rec);
PG_RE_THROW();
}
PG_END_TRY();
}
else
plpgsql_check_assign_to_target_type(cstate,
expected_typoid, expected_typmod,
TupleDescAttr(tupdesc, 0)->atttypid,
isnull);
}
break;
default:
; /* nope */
}
}
/*
* Check so target can accept typoid value
*
*/
void
plpgsql_check_assign_to_target_type(PLpgSQL_checkstate *cstate,
Oid target_typoid,
int32 target_typmod,
Oid value_typoid,
bool isnull)
{
/* the overhead UNKONWNOID --> TEXT is low */
if (target_typoid == TEXTOID && value_typoid == UNKNOWNOID)
return;
#if PG_VERSION_NUM < 90500
/* any used typmod enforces IO cast - performance warning for older than 9.5*/
if (target_typmod != -1)
plpgsql_check_put_error(cstate,
ERRCODE_DATATYPE_MISMATCH, 0,
"target type has type modificator",
NULL,
"Usage of type modificator enforces slower IO casting.",
PLPGSQL_CHECK_WARNING_PERFORMANCE,
0, NULL, NULL);
#endif
if (type_is_rowtype(value_typoid))
plpgsql_check_put_error(cstate,
ERRCODE_DATATYPE_MISMATCH, 0,
"cannot cast composite value to a scalar type",
NULL,
NULL,
PLPGSQL_CHECK_ERROR,
0, NULL, NULL);
else if (target_typoid != value_typoid && !isnull)
{
StringInfoData str;
initStringInfo(&str);
appendStringInfo(&str, "cast \"%s\" value to \"%s\" type",
format_type_be(value_typoid),
format_type_be(target_typoid));
/* accent warning when cast is without supported explicit casting */
if (!can_coerce_type(1, &value_typoid, &target_typoid, COERCION_EXPLICIT))
plpgsql_check_put_error(cstate,
ERRCODE_DATATYPE_MISMATCH, 0,
"target type is different type than source type",
str.data,
"There are no possible explicit coercion between those types, possibly bug!",
PLPGSQL_CHECK_WARNING_OTHERS,
0, NULL, NULL);
else if (!can_coerce_type(1, &value_typoid, &target_typoid, COERCION_ASSIGNMENT))
plpgsql_check_put_error(cstate,
ERRCODE_DATATYPE_MISMATCH, 0,
"target type is different type than source type",
str.data,
"The input expression type does not have an assignment cast to the target type.",
PLPGSQL_CHECK_WARNING_OTHERS,
0, NULL, NULL);
else
{
/* highly probably only performance issue */
if (!isnull)
plpgsql_check_put_error(cstate,
ERRCODE_DATATYPE_MISMATCH, 0,
"target type is different type than source type",
str.data,
"Hidden casting can be a performance issue.",
PLPGSQL_CHECK_WARNING_PERFORMANCE,
0, NULL, NULL);
}
pfree(str.data);
}
}
/*
* makeWholeRowVar -
* creates a Var node representing a whole row of the specified RTE
*
* A whole-row reference is a Var with varno set to the correct range
* table entry, and varattno == 0 to signal that it references the whole
* tuple. (Use of zero here is unclean, since it could easily be confused
* with error cases, but it's not worth changing now.) The vartype indicates
* a rowtype; either a named composite type, or RECORD. This function
* encapsulates the logic for determining the correct rowtype OID to use.
*
* If allowScalar is true, then for the case where the RTE is a function
* returning a non-composite result type, we produce a normal Var referencing
* the function's result directly, instead of the single-column composite
* value that the whole-row notation might otherwise suggest.
*/
Var *
makeWholeRowVar(RangeTblEntry *rte,
Index varno,
Index varlevelsup,
bool allowScalar)
{
Var *result;
Oid toid;
switch (rte->rtekind)
{
case RTE_RELATION:
/* relation: the rowtype is a named composite type */
toid = get_rel_type_id(rte->relid);
if (!OidIsValid(toid))
elog(ERROR, "could not find type OID for relation %u",
rte->relid);
result = makeVar(varno,
InvalidAttrNumber,
toid,
-1,
InvalidOid,
varlevelsup);
break;
case RTE_FUNCTION:
toid = exprType(rte->funcexpr);
if (type_is_rowtype(toid))
{
/* func returns composite; same as relation case */
result = makeVar(varno,
InvalidAttrNumber,
toid,
-1,
InvalidOid,
varlevelsup);
}
else if (allowScalar)
{
/* func returns scalar; just return its output as-is */
result = makeVar(varno,
1,
toid,
-1,
exprCollation(rte->funcexpr),
varlevelsup);
}
else
{
/* func returns scalar, but we want a composite result */
result = makeVar(varno,
InvalidAttrNumber,
RECORDOID,
-1,
InvalidOid,
varlevelsup);
}
break;
default:
/*
* RTE is a join, subselect, or VALUES. We represent this as a
* whole-row Var of RECORD type. (Note that in most cases the Var
* will be expanded to a RowExpr during planning, but that is not
* our concern here.)
*/
result = makeVar(varno,
InvalidAttrNumber,
RECORDOID,
-1,
InvalidOid,
varlevelsup);
break;
}
return result;
}
/*
* SQL function json_populate_recordset
*
* set fields in a set of records from the argument json,
* which must be an array of objects.
*
* similar to json_populate_record, but the tuple-building code
* is pushed down into the semantic action handlers so it's done
* per object in the array.
*/
Datum
json_populate_recordset(PG_FUNCTION_ARGS)
{
Oid argtype = get_fn_expr_argtype(fcinfo->flinfo, 0);
text *json = PG_GETARG_TEXT_P(1);
bool use_json_as_text = PG_GETARG_BOOL(2);
ReturnSetInfo *rsi;
MemoryContext old_cxt;
Oid tupType;
int32 tupTypmod;
HeapTupleHeader rec;
TupleDesc tupdesc;
RecordIOData *my_extra;
int ncolumns;
JsonLexContext *lex;
JsonSemAction sem;
PopulateRecordsetState state;
if (!type_is_rowtype(argtype))
ereport(ERROR,
(errcode(ERRCODE_DATATYPE_MISMATCH),
errmsg("first argument must be a rowtype")));
rsi = (ReturnSetInfo *) fcinfo->resultinfo;
if (!rsi || !IsA(rsi, ReturnSetInfo) ||
(rsi->allowedModes & SFRM_Materialize) == 0 ||
rsi->expectedDesc == NULL)
ereport(ERROR,
(errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
errmsg("set-valued function called in context that "
"cannot accept a set")));
rsi->returnMode = SFRM_Materialize;
/*
* get the tupdesc from the result set info - it must be a record type
* because we already checked that arg1 is a record type.
*/
(void) get_call_result_type(fcinfo, NULL, &tupdesc);
state = palloc0(sizeof(populateRecordsetState));
sem = palloc0(sizeof(jsonSemAction));
/* make these in a sufficiently long-lived memory context */
old_cxt = MemoryContextSwitchTo(rsi->econtext->ecxt_per_query_memory);
state->ret_tdesc = CreateTupleDescCopy(tupdesc);
BlessTupleDesc(state->ret_tdesc);
state->tuple_store =
tuplestore_begin_heap(rsi->allowedModes & SFRM_Materialize,
false, work_mem);
MemoryContextSwitchTo(old_cxt);
/* if the json is null send back an empty set */
if (PG_ARGISNULL(1))
PG_RETURN_NULL();
if (PG_ARGISNULL(0))
rec = NULL;
else
rec = PG_GETARG_HEAPTUPLEHEADER(0);
tupType = tupdesc->tdtypeid;
tupTypmod = tupdesc->tdtypmod;
ncolumns = tupdesc->natts;
lex = makeJsonLexContext(json, true);
/*
* We arrange to look up the needed I/O info just once per series of
* calls, assuming the record type doesn't change underneath us.
*/
my_extra = (RecordIOData *) fcinfo->flinfo->fn_extra;
if (my_extra == NULL ||
my_extra->ncolumns != ncolumns)
{
fcinfo->flinfo->fn_extra =
MemoryContextAlloc(fcinfo->flinfo->fn_mcxt,
sizeof(RecordIOData) - sizeof(ColumnIOData)
+ ncolumns * sizeof(ColumnIOData));
my_extra = (RecordIOData *) fcinfo->flinfo->fn_extra;
my_extra->record_type = InvalidOid;
my_extra->record_typmod = 0;
}
if (my_extra->record_type != tupType ||
my_extra->record_typmod != tupTypmod)
{
MemSet(my_extra, 0,
sizeof(RecordIOData) - sizeof(ColumnIOData)
+ ncolumns * sizeof(ColumnIOData));
my_extra->record_type = tupType;
my_extra->record_typmod = tupTypmod;
my_extra->ncolumns = ncolumns;
}
sem->semstate = (void *) state;
sem->array_start = populate_recordset_array_start;
sem->array_element_start = populate_recordset_array_element_start;
sem->scalar = populate_recordset_scalar;
sem->object_field_start = populate_recordset_object_field_start;
sem->object_field_end = populate_recordset_object_field_end;
sem->object_start = populate_recordset_object_start;
sem->object_end = populate_recordset_object_end;
state->lex = lex;
state->my_extra = my_extra;
state->rec = rec;
state->use_json_as_text = use_json_as_text;
state->fn_mcxt = fcinfo->flinfo->fn_mcxt;
pg_parse_json(lex, sem);
rsi->setResult = state->tuple_store;
rsi->setDesc = state->ret_tdesc;
PG_RETURN_NULL();
}
/*
* SQL function json_populate_record
*
* set fields in a record from the argument json
*
* Code adapted shamelessly from hstore's populate_record
* which is in turn partly adapted from record_out.
*
* The json is decomposed into a hash table, in which each
* field in the record is then looked up by name.
*/
Datum
json_populate_record(PG_FUNCTION_ARGS)
{
Oid argtype = get_fn_expr_argtype(fcinfo->flinfo, 0);
text *json = PG_GETARG_TEXT_P(1);
bool use_json_as_text = PG_GETARG_BOOL(2);
HTAB *json_hash;
HeapTupleHeader rec;
Oid tupType;
int32 tupTypmod;
TupleDesc tupdesc;
HeapTupleData tuple;
HeapTuple rettuple;
RecordIOData *my_extra;
int ncolumns;
int i;
Datum *values;
bool *nulls;
char fname[NAMEDATALEN];
JsonHashEntry hashentry;
if (!type_is_rowtype(argtype))
ereport(ERROR,
(errcode(ERRCODE_DATATYPE_MISMATCH),
errmsg("first argument must be a rowtype")));
if (PG_ARGISNULL(0))
{
if (PG_ARGISNULL(1))
PG_RETURN_NULL();
rec = NULL;
/*
* have no tuple to look at, so the only source of type info is the
* argtype. The lookup_rowtype_tupdesc call below will error out if we
* don't have a known composite type oid here.
*/
tupType = argtype;
tupTypmod = -1;
}
else
{
rec = PG_GETARG_HEAPTUPLEHEADER(0);
if (PG_ARGISNULL(1))
PG_RETURN_POINTER(rec);
/* Extract type info from the tuple itself */
tupType = HeapTupleHeaderGetTypeId(rec);
tupTypmod = HeapTupleHeaderGetTypMod(rec);
}
json_hash = get_json_object_as_hash(json, "json_populate_record", use_json_as_text);
/*
* if the input json is empty, we can only skip the rest if we were passed
* in a non-null record, since otherwise there may be issues with domain
* nulls.
*/
if (hash_get_num_entries(json_hash) == 0 && rec)
PG_RETURN_POINTER(rec);
tupdesc = lookup_rowtype_tupdesc(tupType, tupTypmod);
ncolumns = tupdesc->natts;
if (rec)
{
/* Build a temporary HeapTuple control structure */
tuple.t_len = HeapTupleHeaderGetDatumLength(rec);
ItemPointerSetInvalid(&(tuple.t_self));
tuple.t_data = rec;
}
/*
* We arrange to look up the needed I/O info just once per series of
* calls, assuming the record type doesn't change underneath us.
*/
my_extra = (RecordIOData *) fcinfo->flinfo->fn_extra;
if (my_extra == NULL ||
my_extra->ncolumns != ncolumns)
{
fcinfo->flinfo->fn_extra =
MemoryContextAlloc(fcinfo->flinfo->fn_mcxt,
sizeof(RecordIOData) - sizeof(ColumnIOData)
+ ncolumns * sizeof(ColumnIOData));
my_extra = (RecordIOData *) fcinfo->flinfo->fn_extra;
my_extra->record_type = InvalidOid;
my_extra->record_typmod = 0;
}
if (my_extra->record_type != tupType ||
my_extra->record_typmod != tupTypmod)
{
MemSet(my_extra, 0,
sizeof(RecordIOData) - sizeof(ColumnIOData)
+ ncolumns * sizeof(ColumnIOData));
my_extra->record_type = tupType;
my_extra->record_typmod = tupTypmod;
my_extra->ncolumns = ncolumns;
}
values = (Datum *) palloc(ncolumns * sizeof(Datum));
nulls = (bool *) palloc(ncolumns * sizeof(bool));
if (rec)
{
/* Break down the tuple into fields */
heap_deform_tuple(&tuple, tupdesc, values, nulls);
}
else
{
for (i = 0; i < ncolumns; ++i)
{
values[i] = (Datum) 0;
nulls[i] = true;
}
}
for (i = 0; i < ncolumns; ++i)
{
ColumnIOData *column_info = &my_extra->columns[i];
Oid column_type = tupdesc->attrs[i]->atttypid;
char *value;
/* Ignore dropped columns in datatype */
if (tupdesc->attrs[i]->attisdropped)
{
nulls[i] = true;
continue;
}
memset(fname, 0, NAMEDATALEN);
strncpy(fname, NameStr(tupdesc->attrs[i]->attname), NAMEDATALEN);
hashentry = hash_search(json_hash, fname, HASH_FIND, NULL);
/*
* we can't just skip here if the key wasn't found since we might have
* a domain to deal with. If we were passed in a non-null record
* datum, we assume that the existing values are valid (if they're
* not, then it's not our fault), but if we were passed in a null,
* then every field which we don't populate needs to be run through
* the input function just in case it's a domain type.
*/
if (hashentry == NULL && rec)
continue;
/*
* Prepare to convert the column value from text
*/
if (column_info->column_type != column_type)
{
getTypeInputInfo(column_type,
&column_info->typiofunc,
&column_info->typioparam);
fmgr_info_cxt(column_info->typiofunc, &column_info->proc,
fcinfo->flinfo->fn_mcxt);
column_info->column_type = column_type;
}
if (hashentry == NULL || hashentry->isnull)
{
/*
* need InputFunctionCall to happen even for nulls, so that domain
* checks are done
*/
values[i] = InputFunctionCall(&column_info->proc, NULL,
column_info->typioparam,
tupdesc->attrs[i]->atttypmod);
nulls[i] = true;
}
else
{
value = hashentry->val;
values[i] = InputFunctionCall(&column_info->proc, value,
column_info->typioparam,
tupdesc->attrs[i]->atttypmod);
nulls[i] = false;
}
}
rettuple = heap_form_tuple(tupdesc, values, nulls);
ReleaseTupleDesc(tupdesc);
PG_RETURN_DATUM(HeapTupleGetDatum(rettuple));
}
/*
* makeWholeRowVar -
* creates a Var node representing a whole row of the specified RTE
*
* A whole-row reference is a Var with varno set to the correct range
* table entry, and varattno == 0 to signal that it references the whole
* tuple. (Use of zero here is unclean, since it could easily be confused
* with error cases, but it's not worth changing now.) The vartype indicates
* a rowtype; either a named composite type, or RECORD. This function
* encapsulates the logic for determining the correct rowtype OID to use.
*
* If allowScalar is true, then for the case where the RTE is a single function
* returning a non-composite result type, we produce a normal Var referencing
* the function's result directly, instead of the single-column composite
* value that the whole-row notation might otherwise suggest.
*/
Var *
makeWholeRowVar(RangeTblEntry *rte,
Index varno,
Index varlevelsup,
bool allowScalar)
{
Var *result;
Oid toid;
Node *fexpr;
switch (rte->rtekind)
{
case RTE_RELATION:
/* relation: the rowtype is a named composite type */
toid = get_rel_type_id(rte->relid);
if (!OidIsValid(toid))
elog(ERROR, "could not find type OID for relation %u",
rte->relid);
result = makeVar(varno,
InvalidAttrNumber,
toid,
-1,
InvalidOid,
varlevelsup);
break;
case RTE_FUNCTION:
/*
* If there's more than one function, or ordinality is requested,
* force a RECORD result, since there's certainly more than one
* column involved and it can't be a known named type.
*/
if (rte->funcordinality || list_length(rte->functions) != 1)
{
/* always produces an anonymous RECORD result */
result = makeVar(varno,
InvalidAttrNumber,
RECORDOID,
-1,
InvalidOid,
varlevelsup);
break;
}
fexpr = ((RangeTblFunction *) linitial(rte->functions))->funcexpr;
toid = exprType(fexpr);
if (type_is_rowtype(toid))
{
/* func returns composite; same as relation case */
result = makeVar(varno,
InvalidAttrNumber,
toid,
-1,
InvalidOid,
varlevelsup);
}
else if (allowScalar)
{
/* func returns scalar; just return its output as-is */
result = makeVar(varno,
1,
toid,
-1,
exprCollation(fexpr),
varlevelsup);
}
else
{
/* func returns scalar, but we want a composite result */
result = makeVar(varno,
InvalidAttrNumber,
RECORDOID,
-1,
InvalidOid,
varlevelsup);
}
break;
default:
/*
* RTE is a join, subselect, or VALUES. We represent this as a
* whole-row Var of RECORD type. (Note that in most cases the Var
* will be expanded to a RowExpr during planning, but that is not
* our concern here.)
*/
result = makeVar(varno,
InvalidAttrNumber,
RECORDOID,
-1,
InvalidOid,
varlevelsup);
break;
}
return result;
}
/*
* ExecMakeTableFunctionResult
*
* Evaluate a table function, producing a materialized result in a Tuplestore
* object.
*
* This is used by nodeFunctionscan.c.
*/
Tuplestorestate *
ExecMakeTableFunctionResult(SetExprState *setexpr,
ExprContext *econtext,
MemoryContext argContext,
TupleDesc expectedDesc,
bool randomAccess)
{
Tuplestorestate *tupstore = NULL;
TupleDesc tupdesc = NULL;
Oid funcrettype;
bool returnsTuple;
bool returnsSet = false;
FunctionCallInfoData fcinfo;
PgStat_FunctionCallUsage fcusage;
ReturnSetInfo rsinfo;
HeapTupleData tmptup;
MemoryContext callerContext;
MemoryContext oldcontext;
bool first_time = true;
callerContext = CurrentMemoryContext;
funcrettype = exprType((Node *) setexpr->expr);
returnsTuple = type_is_rowtype(funcrettype);
/*
* Prepare a resultinfo node for communication. We always do this even if
* not expecting a set result, so that we can pass expectedDesc. In the
* generic-expression case, the expression doesn't actually get to see the
* resultinfo, but set it up anyway because we use some of the fields as
* our own state variables.
*/
rsinfo.type = T_ReturnSetInfo;
rsinfo.econtext = econtext;
rsinfo.expectedDesc = expectedDesc;
rsinfo.allowedModes = (int) (SFRM_ValuePerCall | SFRM_Materialize | SFRM_Materialize_Preferred);
if (randomAccess)
rsinfo.allowedModes |= (int) SFRM_Materialize_Random;
rsinfo.returnMode = SFRM_ValuePerCall;
/* isDone is filled below */
rsinfo.setResult = NULL;
rsinfo.setDesc = NULL;
/*
* Normally the passed expression tree will be a SetExprState, since the
* grammar only allows a function call at the top level of a table
* function reference. However, if the function doesn't return set then
* the planner might have replaced the function call via constant-folding
* or inlining. So if we see any other kind of expression node, execute
* it via the general ExecEvalExpr() code; the only difference is that we
* don't get a chance to pass a special ReturnSetInfo to any functions
* buried in the expression.
*/
if (!setexpr->elidedFuncState)
{
/*
* This path is similar to ExecMakeFunctionResultSet.
*/
returnsSet = setexpr->funcReturnsSet;
InitFunctionCallInfoData(fcinfo, &(setexpr->func),
list_length(setexpr->args),
setexpr->fcinfo_data.fncollation,
NULL, (Node *) &rsinfo);
/*
* Evaluate the function's argument list.
*
* We can't do this in the per-tuple context: the argument values
* would disappear when we reset that context in the inner loop. And
* the caller's CurrentMemoryContext is typically a query-lifespan
* context, so we don't want to leak memory there. We require the
* caller to pass a separate memory context that can be used for this,
* and can be reset each time through to avoid bloat.
*/
MemoryContextReset(argContext);
oldcontext = MemoryContextSwitchTo(argContext);
ExecEvalFuncArgs(&fcinfo, setexpr->args, econtext);
MemoryContextSwitchTo(oldcontext);
/*
* If function is strict, and there are any NULL arguments, skip
* calling the function and act like it returned NULL (or an empty
* set, in the returns-set case).
*/
if (setexpr->func.fn_strict)
{
int i;
for (i = 0; i < fcinfo.nargs; i++)
{
if (fcinfo.argnull[i])
goto no_function_result;
}
}
}
else
{
/* Treat setexpr as a generic expression */
InitFunctionCallInfoData(fcinfo, NULL, 0, InvalidOid, NULL, NULL);
}
/*
* Switch to short-lived context for calling the function or expression.
*/
MemoryContextSwitchTo(econtext->ecxt_per_tuple_memory);
/*
* Loop to handle the ValuePerCall protocol (which is also the same
* behavior needed in the generic ExecEvalExpr path).
*/
for (;;)
{
Datum result;
CHECK_FOR_INTERRUPTS();
/*
* reset per-tuple memory context before each call of the function or
* expression. This cleans up any local memory the function may leak
* when called.
*/
ResetExprContext(econtext);
/* Call the function or expression one time */
if (!setexpr->elidedFuncState)
{
pgstat_init_function_usage(&fcinfo, &fcusage);
fcinfo.isnull = false;
rsinfo.isDone = ExprSingleResult;
result = FunctionCallInvoke(&fcinfo);
pgstat_end_function_usage(&fcusage,
rsinfo.isDone != ExprMultipleResult);
}
else
{
result =
ExecEvalExpr(setexpr->elidedFuncState, econtext, &fcinfo.isnull);
rsinfo.isDone = ExprSingleResult;
}
/* Which protocol does function want to use? */
if (rsinfo.returnMode == SFRM_ValuePerCall)
{
/*
* Check for end of result set.
*/
if (rsinfo.isDone == ExprEndResult)
break;
/*
* If first time through, build tuplestore for result. For a
* scalar function result type, also make a suitable tupdesc.
*/
if (first_time)
{
oldcontext = MemoryContextSwitchTo(econtext->ecxt_per_query_memory);
tupstore = tuplestore_begin_heap(randomAccess, false, work_mem);
rsinfo.setResult = tupstore;
if (!returnsTuple)
{
tupdesc = CreateTemplateTupleDesc(1, false);
TupleDescInitEntry(tupdesc,
(AttrNumber) 1,
"column",
funcrettype,
-1,
0);
rsinfo.setDesc = tupdesc;
}
MemoryContextSwitchTo(oldcontext);
}
/*
* Store current resultset item.
*/
if (returnsTuple)
{
if (!fcinfo.isnull)
{
HeapTupleHeader td = DatumGetHeapTupleHeader(result);
if (tupdesc == NULL)
{
/*
* This is the first non-NULL result from the
* function. Use the type info embedded in the
* rowtype Datum to look up the needed tupdesc. Make
* a copy for the query.
*/
oldcontext = MemoryContextSwitchTo(econtext->ecxt_per_query_memory);
tupdesc = lookup_rowtype_tupdesc_copy(HeapTupleHeaderGetTypeId(td),
HeapTupleHeaderGetTypMod(td));
rsinfo.setDesc = tupdesc;
MemoryContextSwitchTo(oldcontext);
}
else
{
/*
* Verify all later returned rows have same subtype;
* necessary in case the type is RECORD.
*/
if (HeapTupleHeaderGetTypeId(td) != tupdesc->tdtypeid ||
HeapTupleHeaderGetTypMod(td) != tupdesc->tdtypmod)
ereport(ERROR,
(errcode(ERRCODE_DATATYPE_MISMATCH),
errmsg("rows returned by function are not all of the same row type")));
}
/*
* tuplestore_puttuple needs a HeapTuple not a bare
* HeapTupleHeader, but it doesn't need all the fields.
*/
tmptup.t_len = HeapTupleHeaderGetDatumLength(td);
tmptup.t_data = td;
tuplestore_puttuple(tupstore, &tmptup);
}
else
{
/*
* NULL result from a tuple-returning function; expand it
* to a row of all nulls. We rely on the expectedDesc to
* form such rows. (Note: this would be problematic if
* tuplestore_putvalues saved the tdtypeid/tdtypmod from
* the provided descriptor, since that might not match
* what we get from the function itself. But it doesn't.)
*/
int natts = expectedDesc->natts;
bool *nullflags;
nullflags = (bool *) palloc(natts * sizeof(bool));
memset(nullflags, true, natts * sizeof(bool));
tuplestore_putvalues(tupstore, expectedDesc, NULL, nullflags);
}
}
else
{
/* Scalar-type case: just store the function result */
tuplestore_putvalues(tupstore, tupdesc, &result, &fcinfo.isnull);
}
/*
* Are we done?
*/
if (rsinfo.isDone != ExprMultipleResult)
break;
}
else if (rsinfo.returnMode == SFRM_Materialize)
{
/* check we're on the same page as the function author */
if (!first_time || rsinfo.isDone != ExprSingleResult)
ereport(ERROR,
(errcode(ERRCODE_E_R_I_E_SRF_PROTOCOL_VIOLATED),
errmsg("table-function protocol for materialize mode was not followed")));
/* Done evaluating the set result */
break;
}
else
ereport(ERROR,
(errcode(ERRCODE_E_R_I_E_SRF_PROTOCOL_VIOLATED),
errmsg("unrecognized table-function returnMode: %d",
(int) rsinfo.returnMode)));
first_time = false;
}
no_function_result:
/*
* If we got nothing from the function (ie, an empty-set or NULL result),
* we have to create the tuplestore to return, and if it's a
* non-set-returning function then insert a single all-nulls row. As
* above, we depend on the expectedDesc to manufacture the dummy row.
*/
if (rsinfo.setResult == NULL)
{
MemoryContextSwitchTo(econtext->ecxt_per_query_memory);
tupstore = tuplestore_begin_heap(randomAccess, false, work_mem);
rsinfo.setResult = tupstore;
if (!returnsSet)
{
int natts = expectedDesc->natts;
bool *nullflags;
MemoryContextSwitchTo(econtext->ecxt_per_tuple_memory);
nullflags = (bool *) palloc(natts * sizeof(bool));
memset(nullflags, true, natts * sizeof(bool));
tuplestore_putvalues(tupstore, expectedDesc, NULL, nullflags);
}
}
/*
* If function provided a tupdesc, cross-check it. We only really need to
* do this for functions returning RECORD, but might as well do it always.
*/
if (rsinfo.setDesc)
{
tupledesc_match(expectedDesc, rsinfo.setDesc);
/*
* If it is a dynamically-allocated TupleDesc, free it: it is
* typically allocated in a per-query context, so we must avoid
* leaking it across multiple usages.
*/
if (rsinfo.setDesc->tdrefcount == -1)
FreeTupleDesc(rsinfo.setDesc);
}
MemoryContextSwitchTo(callerContext);
/* All done, pass back the tuplestore */
return rsinfo.setResult;
}
/*
* Determine how we want to render values of a given type in datum_to_jsonb.
*
* Given the datatype OID, return its JsonbTypeCategory, as well as the type's
* output function OID. If the returned category is JSONBTYPE_JSONCAST,
* we return the OID of the relevant cast function instead.
*/
static void
jsonb_categorize_type(Oid typoid,
JsonbTypeCategory *tcategory,
Oid *outfuncoid)
{
bool typisvarlena;
/* Look through any domain */
typoid = getBaseType(typoid);
*outfuncoid = InvalidOid;
/*
* We need to get the output function for everything except date and
* timestamp types, booleans, array and composite types, json and jsonb,
* and non-builtin types where there's a cast to json. In this last case
* we return the oid of the cast function instead.
*/
switch (typoid)
{
case BOOLOID:
*tcategory = JSONBTYPE_BOOL;
break;
case INT2OID:
case INT4OID:
case INT8OID:
case FLOAT4OID:
case FLOAT8OID:
case NUMERICOID:
getTypeOutputInfo(typoid, outfuncoid, &typisvarlena);
*tcategory = JSONBTYPE_NUMERIC;
break;
case DATEOID:
*tcategory = JSONBTYPE_DATE;
break;
case TIMESTAMPOID:
*tcategory = JSONBTYPE_TIMESTAMP;
break;
case TIMESTAMPTZOID:
*tcategory = JSONBTYPE_TIMESTAMPTZ;
break;
case JSONBOID:
*tcategory = JSONBTYPE_JSONB;
break;
case JSONOID:
*tcategory = JSONBTYPE_JSON;
break;
default:
/* Check for arrays and composites */
if (OidIsValid(get_element_type(typoid)))
*tcategory = JSONBTYPE_ARRAY;
else if (type_is_rowtype(typoid))
*tcategory = JSONBTYPE_COMPOSITE;
else
{
/* It's probably the general case ... */
*tcategory = JSONBTYPE_OTHER;
/*
* but first let's look for a cast to json (note: not to
* jsonb) if it's not built-in.
*/
if (typoid >= FirstNormalObjectId)
{
Oid castfunc;
CoercionPathType ctype;
ctype = find_coercion_pathway(JSONOID, typoid,
COERCION_EXPLICIT, &castfunc);
if (ctype == COERCION_PATH_FUNC && OidIsValid(castfunc))
{
*tcategory = JSONBTYPE_JSONCAST;
*outfuncoid = castfunc;
}
else
{
/* not a cast type, so just get the usual output func */
getTypeOutputInfo(typoid, outfuncoid, &typisvarlena);
}
}
else
{
/* any other builtin type */
getTypeOutputInfo(typoid, outfuncoid, &typisvarlena);
}
break;
}
}
}
/*
* makeWholeRowVar -
* creates a Var node representing a whole row of the specified RTE
*
* A whole-row reference is a Var with varno set to the correct range
* table entry, and varattno == 0 to signal that it references the whole
* tuple. (Use of zero here is unclean, since it could easily be confused
* with error cases, but it's not worth changing now.) The vartype indicates
* a rowtype; either a named composite type, or RECORD. This function
* encapsulates the logic for determining the correct rowtype OID to use.
*/
Var *
makeWholeRowVar(RangeTblEntry *rte,
Index varno,
Index varlevelsup)
{
Var *result;
Oid toid;
switch (rte->rtekind)
{
case RTE_RELATION:
/* relation: the rowtype is a named composite type */
toid = get_rel_type_id(rte->relid);
if (!OidIsValid(toid))
elog(ERROR, "could not find type OID for relation %u",
rte->relid);
result = makeVar(varno,
InvalidAttrNumber,
toid,
-1,
InvalidOid,
varlevelsup);
break;
case RTE_FUNCTION:
toid = exprType(rte->funcexpr);
if (type_is_rowtype(toid))
{
/* func returns composite; same as relation case */
result = makeVar(varno,
InvalidAttrNumber,
toid,
-1,
InvalidOid,
varlevelsup);
}
else
{
/*
* func returns scalar; instead of making a whole-row Var,
* just reference the function's scalar output. (XXX this
* seems a tad inconsistent, especially if "f.*" was
* explicitly written ...)
*/
result = makeVar(varno,
1,
toid,
-1,
InvalidOid,
varlevelsup);
}
break;
case RTE_VALUES:
toid = RECORDOID;
/* returns composite; same as relation case */
result = makeVar(varno,
InvalidAttrNumber,
toid,
-1,
InvalidOid,
varlevelsup);
break;
default:
/*
* RTE is a join or subselect. We represent this as a whole-row
* Var of RECORD type. (Note that in most cases the Var will be
* expanded to a RowExpr during planning, but that is not our
* concern here.)
*/
result = makeVar(varno,
InvalidAttrNumber,
RECORDOID,
-1,
InvalidOid,
varlevelsup);
break;
}
return result;
}
static void
PLy_output_datum_func2(PLyObToDatum *arg, HeapTuple typeTup, Oid langid, List *trftypes)
{
Form_pg_type typeStruct = (Form_pg_type) GETSTRUCT(typeTup);
Oid element_type;
Oid base_type;
Oid funcid;
perm_fmgr_info(typeStruct->typinput, &arg->typfunc);
arg->typoid = HeapTupleGetOid(typeTup);
arg->typmod = -1;
arg->typioparam = getTypeIOParam(typeTup);
arg->typbyval = typeStruct->typbyval;
element_type = get_base_element_type(arg->typoid);
base_type = getBaseType(element_type ? element_type : arg->typoid);
/*
* Select a conversion function to convert Python objects to PostgreSQL
* datums.
*/
if ((funcid = get_transform_tosql(base_type, langid, trftypes)))
{
arg->func = PLyObject_ToTransform;
perm_fmgr_info(funcid, &arg->typtransform);
}
else if (typeStruct->typtype == TYPTYPE_COMPOSITE)
{
arg->func = PLyObject_ToComposite;
}
else
switch (base_type)
{
case BOOLOID:
arg->func = PLyObject_ToBool;
break;
case BYTEAOID:
arg->func = PLyObject_ToBytea;
break;
default:
arg->func = PLyObject_ToDatum;
break;
}
if (element_type)
{
char dummy_delim;
Oid funcid;
if (type_is_rowtype(element_type))
arg->func = PLyObject_ToComposite;
arg->elm = PLy_malloc0(sizeof(*arg->elm));
arg->elm->func = arg->func;
arg->elm->typtransform = arg->typtransform;
arg->func = PLySequence_ToArray;
arg->elm->typoid = element_type;
arg->elm->typmod = -1;
get_type_io_data(element_type, IOFunc_input,
&arg->elm->typlen, &arg->elm->typbyval, &arg->elm->typalign, &dummy_delim,
&arg->elm->typioparam, &funcid);
perm_fmgr_info(funcid, &arg->elm->typfunc);
}
}
/**
* @brief Convert postgres Datum into a ConcreteValue object.
*/
AbstractValueSPtr PGAbstractValue::DatumToValue(bool inMemoryIsWritable,
Oid inTypeID, Datum inDatum) const {
bool isTuple;
bool isArray;
HeapTupleHeader pgTuple;
ArrayType *pgArray;
bool errorOccurred = false;
PG_TRY(); {
isTuple = type_is_rowtype(inTypeID);
isArray = type_is_array(inTypeID);
if (isTuple)
pgTuple = DatumGetHeapTupleHeader(inDatum);
else if (isArray)
pgArray = DatumGetArrayTypeP(inDatum);
} PG_CATCH(); {
errorOccurred = true;
} PG_END_TRY();
BOOST_ASSERT_MSG(errorOccurred == false, "An exception occurred while "
"converting a PostgreSQL datum to DBAL object.");
// First check if datum is rowtype
if (isTuple) {
return AbstractValueSPtr(new PGValue<HeapTupleHeader>(pgTuple));
} else if (isArray) {
if (ARR_NDIM(pgArray) != 1)
throw std::invalid_argument("Multidimensional arrays not yet supported");
if (ARR_HASNULL(pgArray))
throw std::invalid_argument("Arrays with NULLs not yet supported");
switch (ARR_ELEMTYPE(pgArray)) {
case FLOAT8OID: {
MemHandleSPtr memoryHandle(new PGArrayHandle(pgArray));
if (inMemoryIsWritable) {
return AbstractValueSPtr(
new ConcreteValue<Array<double> >(
Array<double>(memoryHandle,
boost::extents[ ARR_DIMS(pgArray)[0] ])
)
);
} else {
return AbstractValueSPtr(
new ConcreteValue<Array_const<double> >(
Array_const<double>(memoryHandle,
boost::extents[ ARR_DIMS(pgArray)[0] ])
)
);
}
}
// FIXME: Default case
}
}
switch (inTypeID) {
case BOOLOID: return AbstractValueSPtr(
new ConcreteValue<bool>( DatumGetBool(inDatum) ));
case INT2OID: return AbstractValueSPtr(
new ConcreteValue<int16_t>( DatumGetInt16(inDatum) ));
case INT4OID: return AbstractValueSPtr(
new ConcreteValue<int32_t>( DatumGetInt32(inDatum) ));
case INT8OID: return AbstractValueSPtr(
new ConcreteValue<int64_t>( DatumGetInt64(inDatum) ));
case FLOAT4OID: return AbstractValueSPtr(
new ConcreteValue<float>( DatumGetFloat4(inDatum) ));
case FLOAT8OID: return AbstractValueSPtr(
new ConcreteValue<double>( DatumGetFloat8(inDatum) ));
}
return AbstractValueSPtr();
}
