xxq250
/
homework-jianmu
1
0
Fork 0
Code Issues Pull Requests 1 Actions Packages Projects Releases Wiki Activity

Merge pull request #14941 from taosdata/feat/agg_client_api 

fix(query): add leastsquares function scalar version
This commit is contained in:
Ganlin Zhao 2022-07-15 15:01:17 +08:00 committed by GitHub
parent a83d41f635 9de4ad8535
commit 86c64639c8
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
3 changed files with 170 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
include/libs/scalar/scalar.h
View File

@ -103,6 +103,7 @@ int32_t minScalarFunction(SScalarParam *pInput, int32_t inputNum, SScalarParam *
int32_t maxScalarFunction(SScalarParam *pInput, int32_t inputNum, SScalarParam *pOutput);
int32_t avgScalarFunction(SScalarParam *pInput, int32_t inputNum, SScalarParam *pOutput);
int32_t stddevScalarFunction(SScalarParam *pInput, int32_t inputNum, SScalarParam *pOutput);
int32_t leastSQRScalarFunction(SScalarParam *pInput, int32_t inputNum, SScalarParam *pOutput);
#ifdef __cplusplus
}

1
source/libs/function/src/builtins.c
View File

@ -1981,6 +1981,7 @@ const SBuiltinFuncDefinition funcMgtBuiltins[] = {
.getEnvFunc = getLeastSQRFuncEnv,
.initFunc = leastSQRFunctionSetup,
.processFunc = leastSQRFunction,
.sprocessFunc = leastSQRScalarFunction,
.finalizeFunc = leastSQRFinalize,
.invertFunc = NULL,
.combineFunc = leastSQRCombine,

168
source/libs/scalar/src/sclfunc.c
View File

@ -2139,3 +2139,171 @@ int32_t stddevScalarFunction(SScalarParam *pInput, int32_t inputNum, SScalarPara
return TSDB_CODE_SUCCESS;
}
#define LEASTSQR_CAL(p, x, y, index, step) \
do { \
(p)[0][0] += (double)(x) * (x); \
(p)[0][1] += (double)(x); \
(p)[0][2] += (double)(x) * (y)[index]; \
(p)[1][2] += (y)[index]; \
(x) += step; \
} while (0)
int32_t leastSQRScalarFunction(SScalarParam *pInput, int32_t inputNum, SScalarParam *pOutput) {
SColumnInfoData *pInputData = pInput->columnData;
SColumnInfoData *pOutputData = pOutput->columnData;
double startVal, stepVal;
double matrix[2][3] = {0};
GET_TYPED_DATA(startVal, double, GET_PARAM_TYPE(&pInput[1]), pInput[1].columnData->pData);
GET_TYPED_DATA(stepVal, double, GET_PARAM_TYPE(&pInput[2]), pInput[2].columnData->pData);
int32_t type = GET_PARAM_TYPE(pInput);
int64_t count = 0;
switch(type) {
case TSDB_DATA_TYPE_TINYINT: {
int8_t *in = (int8_t *)pInputData->pData;
for (int32_t i = 0; i < pInput->numOfRows; ++i) {
if (colDataIsNull_s(pInputData, i)) {
continue;
}
count++;
LEASTSQR_CAL(matrix, startVal, in, i, stepVal);
}
break;
}
case TSDB_DATA_TYPE_SMALLINT: {
int16_t *in = (int16_t *)pInputData->pData;
for (int32_t i = 0; i < pInput->numOfRows; ++i) {
if (colDataIsNull_s(pInputData, i)) {
continue;
}
count++;
LEASTSQR_CAL(matrix, startVal, in, i, stepVal);
}
break;
}
case TSDB_DATA_TYPE_INT: {
int32_t *in = (int32_t *)pInputData->pData;
for (int32_t i = 0; i < pInput->numOfRows; ++i) {
if (colDataIsNull_s(pInputData, i)) {
continue;
}
count++;
LEASTSQR_CAL(matrix, startVal, in, i, stepVal);
}
break;
}
case TSDB_DATA_TYPE_BIGINT: {
int64_t *in = (int64_t *)pInputData->pData;
for (int32_t i = 0; i < pInput->numOfRows; ++i) {
if (colDataIsNull_s(pInputData, i)) {
continue;
}
count++;
LEASTSQR_CAL(matrix, startVal, in, i, stepVal);
}
break;
}
case TSDB_DATA_TYPE_UTINYINT: {
uint8_t *in = (uint8_t *)pInputData->pData;
for (int32_t i = 0; i < pInput->numOfRows; ++i) {
if (colDataIsNull_s(pInputData, i)) {
continue;
}
count++;
LEASTSQR_CAL(matrix, startVal, in, i, stepVal);
}
break;
}
case TSDB_DATA_TYPE_USMALLINT: {
uint16_t *in = (uint16_t *)pInputData->pData;
for (int32_t i = 0; i < pInput->numOfRows; ++i) {
if (colDataIsNull_s(pInputData, i)) {
continue;
}
count++;
LEASTSQR_CAL(matrix, startVal, in, i, stepVal);
}
break;
}
case TSDB_DATA_TYPE_UINT: {
uint32_t *in = (uint32_t *)pInputData->pData;
for (int32_t i = 0; i < pInput->numOfRows; ++i) {
if (colDataIsNull_s(pInputData, i)) {
continue;
}
count++;
LEASTSQR_CAL(matrix, startVal, in, i, stepVal);
}
break;
}
case TSDB_DATA_TYPE_UBIGINT: {
uint64_t *in = (uint64_t *)pInputData->pData;
for (int32_t i = 0; i < pInput->numOfRows; ++i) {
if (colDataIsNull_s(pInputData, i)) {
continue;
}
count++;
LEASTSQR_CAL(matrix, startVal, in, i, stepVal);
}
break;
}
case TSDB_DATA_TYPE_FLOAT: {
float *in = (float *)pInputData->pData;
for (int32_t i = 0; i < pInput->numOfRows; ++i) {
if (colDataIsNull_s(pInputData, i)) {
continue;
}
count++;
LEASTSQR_CAL(matrix, startVal, in, i, stepVal);
}
break;
}
case TSDB_DATA_TYPE_DOUBLE: {
double *in = (double *)pInputData->pData;
for (int32_t i = 0; i < pInput->numOfRows; ++i) {
if (colDataIsNull_s(pInputData, i)) {
continue;
}
count++;
LEASTSQR_CAL(matrix, startVal, in, i, stepVal);
}
break;
}
}
if (count == 0) {
colDataAppendNULL(pOutputData, 0);
} else {
matrix[1][1] = (double)count;
matrix[1][0] = matrix[0][1];
double matrix00 = matrix[0][0] - matrix[1][0] * (matrix[0][1] / matrix[1][1]);
double matrix02 = matrix[0][2] - matrix[1][2] * (matrix[0][1] / matrix[1][1]);
double matrix12 = matrix[1][2] - matrix02 * (matrix[1][0] / matrix00);
matrix02 /= matrix00;
matrix12 /= matrix[1][1];
char buf[64] = {0};
size_t len =
snprintf(varDataVal(buf), sizeof(buf) - VARSTR_HEADER_SIZE, "{slop:%.6lf, intercept:%.6lf}", matrix02, matrix12);
varDataSetLen(buf, len);
colDataAppend(pOutputData, 0, buf, false);
}
pOutput->numOfRows = 1;
return TSDB_CODE_SUCCESS;
}