Datum vec_to_mean_numeric_transfn(PG_FUNCTION_ARGS); PG_FUNCTION_INFO_V1(vec_to_mean_numeric_transfn); /** * Returns an array of n elements, * which each element is the mean value found in that position * from all input arrays. * * by Paul A. Jungwirth */ Datum vec_to_mean_numeric_transfn(PG_FUNCTION_ARGS) { Oid elemTypeId; int16 elemTypeWidth; bool elemTypeByValue; char elemTypeAlignmentCode; int currentLength; MemoryContext aggContext; VecArrayBuildState *state = NULL; ArrayType *currentArray; int arrayLength; Datum *currentVals; bool *currentNulls; int i; MemoryContext old; if (!AggCheckCallContext(fcinfo, &aggContext)) { elog(ERROR, "vec_to_mean_numeric_transfn called in non-aggregate context"); } // PG_ARGISNULL tests for SQL NULL, // but after the first pass we can have a // value that is non-SQL-NULL but still is C NULL. if (!PG_ARGISNULL(0)) { state = (VecArrayBuildState *)PG_GETARG_POINTER(0); } if (PG_ARGISNULL(1)) { // just return the current state unchanged (possibly still NULL) PG_RETURN_POINTER(state); } currentArray = PG_GETARG_ARRAYTYPE_P(1); if (ARR_NDIM(currentArray) == 0) { PG_RETURN_POINTER(state); } if (state == NULL) { // Since we have our first not-null argument // we can initialize the state to match its length. elemTypeId = ARR_ELEMTYPE(currentArray); if (ARR_NDIM(currentArray) != 1) { ereport(ERROR, (errmsg("One-dimensional arrays are required"))); } arrayLength = (ARR_DIMS(currentArray))[0]; // Just start with all NULLs and let the comparisons below replace them: state = initVecArrayResultWithNulls(elemTypeId, NUMERICOID, aggContext, arrayLength); } else { elemTypeId = state->inputElementType; arrayLength = state->state.nelems; } get_typlenbyvalalign(elemTypeId, &elemTypeWidth, &elemTypeByValue, &elemTypeAlignmentCode); deconstruct_array(currentArray, elemTypeId, elemTypeWidth, elemTypeByValue, elemTypeAlignmentCode, ¤tVals, ¤tNulls, ¤tLength); if (currentLength != arrayLength) { ereport(ERROR, (errmsg("All arrays must be the same length, but we got %d vs %d", currentLength, arrayLength))); } old = MemoryContextSwitchTo(aggContext); for (i = 0; i < arrayLength; i++) { if (currentNulls[i]) { // do nothing: nulls can't change the result. } else if (state->state.dnulls[i]) { state->state.dnulls[i] = false; state->veccounts[i] = 1; state->vecvalues[i].num = DatumGetNumericCopy(currentVals[i]); } else { state->veccounts[i] += 1; // instead of performing sub/div/add numeric calculations each row, just add and complete later in final function #if PG_VERSION_NUM < 120000 state->vecvalues[i].num = DatumGetNumeric(DirectFunctionCall2(numeric_add, NumericGetDatum(state->vecvalues[i].num), currentVals[i])); #else state->vecvalues[i].num = numeric_add_opt_error(state->vecvalues[i].num, DatumGetNumeric(currentVals[i]), NULL); #endif } } MemoryContextSwitchTo(old); PG_RETURN_POINTER(state); } Datum vec_to_mean_numeric_finalfn(PG_FUNCTION_ARGS); PG_FUNCTION_INFO_V1(vec_to_mean_numeric_finalfn); Datum vec_to_mean_numeric_finalfn(PG_FUNCTION_ARGS) { Datum result; VecArrayBuildState *state; int dims[1]; int lbs[1]; int i; Datum count; Datum div; Assert(AggCheckCallContext(fcinfo, NULL)); state = PG_ARGISNULL(0) ? NULL : (VecArrayBuildState *)PG_GETARG_POINTER(0); if (state == NULL) PG_RETURN_NULL(); // Convert from our pgnums to Datums: for (i = 0; i < state->state.nelems; i++) { if (state->state.dnulls[i]) continue; count = DirectFunctionCall1(int8_numeric, UInt32GetDatum(state->veccounts[i])); #if PG_VERSION_NUM < 120000 div = DirectFunctionCall2(numeric_div, NumericGetDatum(state->vecvalues[i].num), count); #else div = NumericGetDatum(numeric_div_opt_error(state->vecvalues[i].num, DatumGetNumeric(count), NULL)); #endif state->state.dvalues[i] = div; } dims[0] = state->state.nelems; lbs[0] = 1; result = makeMdArrayResult(&state->state, 1, dims, lbs, CurrentMemoryContext, false); PG_RETURN_DATUM(result); }