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TDengine/source/libs/executor/src/forecastoperator.c

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/*
* Copyright (c) 2019 TAOS Data, Inc. <jhtao@taosdata.com>
*
* This program is free software: you can use, redistribute, and/or modify
* it under the terms of the GNU Affero General Public License, version 3
* or later ("AGPL"), as published by the Free Software Foundation.
*
* 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.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "executorInt.h"
#include "filter.h"
#include "functionMgt.h"
#include "operator.h"
#include "querytask.h"
#include "tanalytics.h"
#include "taoserror.h"
#include "tcommon.h"
#include "tdatablock.h"
#include "tmsg.h"
#include "tmsg.h"
#ifdef USE_ANALYTICS
#define ALGO_OPT_RETCONF_NAME "return_conf"
#define ALGO_OPT_FORECASTROWS_NAME "rows"
#define ALGO_OPT_CONF_NAME "conf"
#define ALGO_OPT_START_NAME "start"
#define ALGO_OPT_EVERY_NAME "every"
typedef struct {
char* pName;
SColumnInfoData data;
SColumn col;
int32_t numOfRows;
} SColFutureData;
typedef struct {
char algoName[TSDB_ANALYTIC_ALGO_NAME_LEN];
char algoUrl[TSDB_ANALYTIC_ALGO_URL_LEN];
char* pOptions;
int64_t maxTs;
int64_t minTs;
int64_t numOfRows;
uint64_t groupId;
int64_t forecastRows;
int64_t cachedRows;
int32_t numOfBlocks;
int64_t timeout;
int16_t resTsSlot;
int16_t resValSlot;
int16_t resLowSlot;
int16_t resHighSlot;
int16_t inputTsSlot;
int16_t targetValSlot;
int8_t targetValType;
int8_t inputPrecision;
int8_t wncheck;
double conf;
int64_t startTs;
int64_t every;
int8_t setStart;
int8_t setEvery;
SArray* pCovariateSlotList; // covariate slot list
SArray* pDynamicRealList; // dynamic real data list
int32_t numOfInputCols;
SAnalyticBuf analyBuf;
} SForecastSupp;
typedef struct SForecastOperatorInfo {
SSDataBlock* pRes;
SExprSupp scalarSup; // scalar calculation
SForecastSupp forecastSupp;
} SForecastOperatorInfo;
static void destroyForecastInfo(void* param);
static int32_t forecastParseOpt(SForecastSupp* pSupp, const char* id);
static FORCE_INLINE int32_t forecastEnsureBlockCapacity(SSDataBlock* pBlock, int32_t newRowsNum) {
if (pBlock->info.rows < pBlock->info.capacity) {
return TSDB_CODE_SUCCESS;
}
int32_t code = blockDataEnsureCapacity(pBlock, newRowsNum);
if (code != TSDB_CODE_SUCCESS) {
qError("%s failed at line %d since %s", __func__, __LINE__, tstrerror(code));
return code;
}
return TSDB_CODE_SUCCESS;
}
static int32_t forecastCacheBlock(SForecastSupp* pSupp, SSDataBlock* pBlock, const char* id) {
int32_t code = TSDB_CODE_SUCCESS;
int32_t lino = 0;
SAnalyticBuf* pBuf = &pSupp->analyBuf;
if (pSupp->cachedRows > ANALY_FORECAST_MAX_ROWS) {
code = TSDB_CODE_ANA_ANODE_TOO_MANY_ROWS;
qError("%s rows:%" PRId64 " for forecast cache, error happens, code:%s, upper limit:%d", id, pSupp->cachedRows,
tstrerror(code), ANALY_FORECAST_MAX_ROWS);
return code;
}
pSupp->numOfBlocks++;
qDebug("%s block:%d, %p rows:%" PRId64, id, pSupp->numOfBlocks, pBlock, pBlock->info.rows);
for (int32_t j = 0; j < pBlock->info.rows; ++j) {
SColumnInfoData* pValCol = taosArrayGet(pBlock->pDataBlock, pSupp->targetValSlot);
SColumnInfoData* pTsCol = taosArrayGet(pBlock->pDataBlock, pSupp->inputTsSlot);
if (pTsCol == NULL || pValCol == NULL) break;
int32_t index = 0;
int64_t ts = ((TSKEY*)pTsCol->pData)[j];
char* val = colDataGetData(pValCol, j);
int16_t valType = pValCol->info.type;
pSupp->minTs = MIN(pSupp->minTs, ts);
pSupp->maxTs = MAX(pSupp->maxTs, ts);
pSupp->numOfRows++;
// write the primary time stamp column data
code = taosAnalyBufWriteColData(pBuf, index++, TSDB_DATA_TYPE_TIMESTAMP, &ts);
if (TSDB_CODE_SUCCESS != code) {
qError("%s failed to write ts in buf, code:%s", id, tstrerror(code));
return code;
}
// write the main column for forecasting
code = taosAnalyBufWriteColData(pBuf, index++, valType, val);
if (TSDB_CODE_SUCCESS != code) {
qError("%s failed to write val in buf, code:%s", id, tstrerror(code));
return code;
}
// let's handle the dynamic_real_columns
for (int32_t i = 0; i < taosArrayGetSize(pSupp->pDynamicRealList); ++i) {
SColFutureData* pCol = taosArrayGet(pSupp->pDynamicRealList, i);
SColumnInfoData* pColData = taosArrayGet(pBlock->pDataBlock, pCol->col.slotId);
char* pVal = colDataGetData(pColData, j);
code = taosAnalyBufWriteColData(pBuf, index++, pCol->col.type, pVal);
if (TSDB_CODE_SUCCESS != code) {
qError("%s failed to write val in buf, code:%s", id, tstrerror(code));
return code;
}
}
// now handle the past_dynamic_real columns and
for (int32_t i = 0; i < taosArrayGetSize(pSupp->pCovariateSlotList); ++i) {
SColumn* pCol = taosArrayGet(pSupp->pCovariateSlotList, i);
SColumnInfoData* pColData = taosArrayGet(pBlock->pDataBlock, pCol->slotId);
char* pVal = colDataGetData(pColData, j);
code = taosAnalyBufWriteColData(pBuf, index++, pCol->type, pVal);
if (TSDB_CODE_SUCCESS != code) {
qError("%s failed to write val in buf, code:%s", id, tstrerror(code));
return code;
}
}
}
return 0;
}
static int32_t forecastCloseBuf(SForecastSupp* pSupp, const char* id) {
SAnalyticBuf* pBuf = &pSupp->analyBuf;
int32_t code = 0;
// add the future dynamic real column data
for (int32_t i = 0; i < pSupp->numOfInputCols; ++i) {
// the primary timestamp and the forecast column
// add the future dynamic real column data
if ((i >= 2) && ((i - 2) < taosArrayGetSize(pSupp->pDynamicRealList))) {
SColFutureData* pCol = taosArrayGet(pSupp->pDynamicRealList, i - 2);
int16_t valType = pCol->col.type;
for (int32_t j = 0; j < pCol->numOfRows; ++j) {
char* pVal = colDataGetData(&pCol->data, j);
code = taosAnalyBufWriteColData(pBuf, i, valType, pVal);
if (code != 0) {
return code;
}
}
}
code = taosAnalyBufWriteColEnd(pBuf, i);
if (code != 0) return code;
}
code = taosAnalyBufWriteDataEnd(pBuf);
if (code != 0) return code;
code = taosAnalyBufWriteOptStr(pBuf, "option", pSupp->pOptions);
if (code != 0) return code;
code = taosAnalyBufWriteOptStr(pBuf, "algo", pSupp->algoName);
if (code != 0) return code;
const char* prec = TSDB_TIME_PRECISION_MILLI_STR;
if (pSupp->inputPrecision == TSDB_TIME_PRECISION_MICRO) prec = TSDB_TIME_PRECISION_MICRO_STR;
if (pSupp->inputPrecision == TSDB_TIME_PRECISION_NANO) prec = TSDB_TIME_PRECISION_NANO_STR;
code = taosAnalyBufWriteOptStr(pBuf, "prec", prec);
if (code != 0) return code;
code = taosAnalyBufWriteOptInt(pBuf, ALGO_OPT_WNCHECK_NAME, pSupp->wncheck);
if (code != 0) return code;
bool noConf = (pSupp->resHighSlot == -1 && pSupp->resLowSlot == -1);
code = taosAnalyBufWriteOptInt(pBuf, ALGO_OPT_RETCONF_NAME, !noConf);
if (code != 0) return code;
if (pSupp->cachedRows < ANALY_FORECAST_MIN_ROWS) {
qError("%s history rows for forecasting not enough, min required:%d, current:%" PRId64, id, ANALY_FORECAST_MIN_ROWS,
pSupp->forecastRows);
return TSDB_CODE_ANA_ANODE_NOT_ENOUGH_ROWS;
}
if (pSupp->cachedRows < ANALY_TDTSFM_FORECAST_MIN_ROWS && strcmp(pSupp->algoName, "tdtsfm_1") == 0) {
qError("%s history rows for forecasting when using tdtsfm model not enough, min required:%d, current:%" PRId64, id,
ANALY_TDTSFM_FORECAST_MIN_ROWS, pSupp->forecastRows);
return TSDB_CODE_ANA_ANODE_NOT_ENOUGH_ROWS;
}
code = taosAnalyBufWriteOptInt(pBuf, "forecast_rows", pSupp->forecastRows);
if (code != 0) return code;
code = taosAnalyBufWriteOptFloat(pBuf, "conf", pSupp->conf);
if (code != 0) return code;
int32_t len = strlen(pSupp->pOptions);
int64_t every = (pSupp->setEvery != 0) ? pSupp->every : ((pSupp->maxTs - pSupp->minTs) / (pSupp->numOfRows - 1));
code = taosAnalyBufWriteOptInt(pBuf, "every", every);
if (code != 0) return code;
int64_t start = (pSupp->setStart != 0) ? pSupp->startTs : pSupp->maxTs + every;
code = taosAnalyBufWriteOptInt(pBuf, "start", start);
if (code != 0) return code;
if (taosArrayGetSize(pSupp->pCovariateSlotList) + taosArrayGetSize(pSupp->pDynamicRealList) > 0) {
code = taosAnalyBufWriteOptStr(pBuf, "type", "covariate");
if (code != 0) return code;
}
code = taosAnalyBufClose(pBuf);
return code;
}
static int32_t forecastAnalysis(SForecastSupp* pSupp, SSDataBlock* pBlock, const char* pId) {
SAnalyticBuf* pBuf = &pSupp->analyBuf;
int32_t resCurRow = pBlock->info.rows;
int64_t tmpI64 = 0;
double tmpDouble = 0;
int32_t code = 0;
SColumnInfoData* pResValCol = taosArrayGet(pBlock->pDataBlock, pSupp->resValSlot);
if (NULL == pResValCol) {
return terrno;
}
SColumnInfoData* pResTsCol = ((pSupp->resTsSlot != -1) ? taosArrayGet(pBlock->pDataBlock, pSupp->resTsSlot) : NULL);
SColumnInfoData* pResLowCol =
((pSupp->resLowSlot != -1) ? taosArrayGet(pBlock->pDataBlock, pSupp->resLowSlot) : NULL);
SColumnInfoData* pResHighCol =
(pSupp->resHighSlot != -1 ? taosArrayGet(pBlock->pDataBlock, pSupp->resHighSlot) : NULL);
SJson* pJson = taosAnalySendReqRetJson(pSupp->algoUrl, ANALYTICS_HTTP_TYPE_POST, pBuf, pSupp->timeout, pId);
if (pJson == NULL) {
return terrno;
}
int32_t rows = 0;
tjsonGetInt32ValueFromDouble(pJson, "rows", rows, code);
if (rows < 0 && code == 0) {
code = parseErrorMsgFromAnalyticServer(pJson, pId);
tjsonDelete(pJson);
return code;
}
// invalid json format
if (code != 0) {
goto _OVER;
}
SJson* res = tjsonGetObjectItem(pJson, "res");
if (res == NULL) goto _OVER;
int32_t ressize = tjsonGetArraySize(res);
bool returnConf = (pSupp->resHighSlot != -1 || pSupp->resLowSlot != -1);
if ((returnConf && (ressize != 4)) || ((!returnConf) && (ressize != 2))) {
goto _OVER;
}
if (pResTsCol != NULL) {
resCurRow = pBlock->info.rows;
SJson* tsJsonArray = tjsonGetArrayItem(res, 0);
if (tsJsonArray == NULL) goto _OVER;
int32_t tsSize = tjsonGetArraySize(tsJsonArray);
if (tsSize != rows) goto _OVER;
for (int32_t i = 0; i < tsSize; ++i) {
SJson* tsJson = tjsonGetArrayItem(tsJsonArray, i);
tjsonGetObjectValueBigInt(tsJson, &tmpI64);
colDataSetInt64(pResTsCol, resCurRow, &tmpI64);
resCurRow++;
}
}
if (pResLowCol != NULL) {
resCurRow = pBlock->info.rows;
SJson* lowJsonArray = tjsonGetArrayItem(res, 2);
if (lowJsonArray == NULL) goto _OVER;
int32_t lowSize = tjsonGetArraySize(lowJsonArray);
if (lowSize != rows) goto _OVER;
for (int32_t i = 0; i < lowSize; ++i) {
SJson* lowJson = tjsonGetArrayItem(lowJsonArray, i);
tjsonGetObjectValueDouble(lowJson, &tmpDouble);
colDataSetDouble(pResLowCol, resCurRow, &tmpDouble);
resCurRow++;
}
}
if (pResHighCol != NULL) {
resCurRow = pBlock->info.rows;
SJson* highJsonArray = tjsonGetArrayItem(res, 3);
if (highJsonArray == NULL) goto _OVER;
int32_t highSize = tjsonGetArraySize(highJsonArray);
if (highSize != rows) goto _OVER;
for (int32_t i = 0; i < highSize; ++i) {
SJson* highJson = tjsonGetArrayItem(highJsonArray, i);
tjsonGetObjectValueDouble(highJson, &tmpDouble);
colDataSetDouble(pResHighCol, resCurRow, &tmpDouble);
resCurRow++;
}
}
resCurRow = pBlock->info.rows;
SJson* valJsonArray = tjsonGetArrayItem(res, 1);
if (valJsonArray == NULL) goto _OVER;
int32_t valSize = tjsonGetArraySize(valJsonArray);
if (valSize != rows) goto _OVER;
for (int32_t i = 0; i < valSize; ++i) {
SJson* valJson = tjsonGetArrayItem(valJsonArray, i);
tjsonGetObjectValueDouble(valJson, &tmpDouble);
colDataSetDouble(pResValCol, resCurRow, &tmpDouble);
resCurRow++;
}
pBlock->info.rows += rows;
if (pJson != NULL) tjsonDelete(pJson);
return 0;
_OVER:
tjsonDelete(pJson);
if (code == 0) {
code = TSDB_CODE_INVALID_JSON_FORMAT;
}
qError("%s failed to perform forecast finalize since %s", pId, tstrerror(code));
return code;
}
static int32_t forecastAggregateBlocks(SForecastSupp* pSupp, SSDataBlock* pResBlock, const char* pId) {
int32_t code = TSDB_CODE_SUCCESS;
int32_t lino = 0;
SAnalyticBuf* pBuf = &pSupp->analyBuf;
code = forecastCloseBuf(pSupp, pId);
QUERY_CHECK_CODE(code, lino, _end);
code = forecastEnsureBlockCapacity(pResBlock, 1);
QUERY_CHECK_CODE(code, lino, _end);
code = forecastAnalysis(pSupp, pResBlock, pId);
QUERY_CHECK_CODE(code, lino, _end);
uInfo("%s block:%d, forecast finalize", pId, pSupp->numOfBlocks);
_end:
pSupp->numOfBlocks = 0;
taosAnalyBufDestroy(&pSupp->analyBuf);
return code;
}
static int32_t forecastNext(SOperatorInfo* pOperator, SSDataBlock** ppRes) {
int32_t code = TSDB_CODE_SUCCESS;
int32_t lino = 0;
SExecTaskInfo* pTaskInfo = pOperator->pTaskInfo;
SForecastOperatorInfo* pInfo = pOperator->info;
SSDataBlock* pResBlock = pInfo->pRes;
SForecastSupp* pSupp = &pInfo->forecastSupp;
SExprSupp* pScalarSupp = &pInfo->scalarSup;
SAnalyticBuf* pBuf = &pSupp->analyBuf;
int64_t st = taosGetTimestampUs();
int32_t numOfBlocks = pSupp->numOfBlocks;
const char* pId = GET_TASKID(pOperator->pTaskInfo);
blockDataCleanup(pResBlock);
while (1) {
SSDataBlock* pBlock = getNextBlockFromDownstream(pOperator, 0);
if (pBlock == NULL) {
break;
}
if (pScalarSupp->pExprInfo != NULL) {
code = projectApplyFunctions(pScalarSupp->pExprInfo, pBlock, pBlock, pScalarSupp->pCtx, pScalarSupp->numOfExprs,
NULL, GET_STM_RTINFO(pOperator->pTaskInfo));
if (code != TSDB_CODE_SUCCESS) {
T_LONG_JMP(pTaskInfo->env, code);
}
}
if (pSupp->groupId == 0 || pSupp->groupId == pBlock->info.id.groupId) {
pSupp->groupId = pBlock->info.id.groupId;
numOfBlocks++;
pSupp->cachedRows += pBlock->info.rows;
qDebug("%s group:%" PRId64 ", blocks:%d, rows:%" PRId64 ", total rows:%" PRId64, pId, pSupp->groupId, numOfBlocks,
pBlock->info.rows, pSupp->cachedRows);
code = forecastCacheBlock(pSupp, pBlock, pId);
QUERY_CHECK_CODE(code, lino, _end);
} else {
qDebug("%s group:%" PRId64 ", read finish for new group coming, blocks:%d", pId, pSupp->groupId, numOfBlocks);
code = forecastAggregateBlocks(pSupp, pResBlock, pId);
QUERY_CHECK_CODE(code, lino, _end);
pSupp->groupId = pBlock->info.id.groupId;
numOfBlocks = 1;
pSupp->cachedRows = pBlock->info.rows;
qDebug("%s group:%" PRId64 ", new group, rows:%" PRId64 ", total rows:%" PRId64, pId, pSupp->groupId,
pBlock->info.rows, pSupp->cachedRows);
code = forecastCacheBlock(pSupp, pBlock, pId);
QUERY_CHECK_CODE(code, lino, _end);
}
if (pResBlock->info.rows > 0) {
(*ppRes) = pResBlock;
qDebug("%s group:%" PRId64 ", return to upstream, blocks:%d", pId, pResBlock->info.id.groupId, numOfBlocks);
return code;
}
}
if (numOfBlocks > 0) {
qDebug("%s group:%" PRId64 ", read finish, blocks:%d", pId, pSupp->groupId, numOfBlocks);
code = forecastAggregateBlocks(pSupp, pResBlock, pId);
QUERY_CHECK_CODE(code, lino, _end);
}
int64_t cost = taosGetTimestampUs() - st;
qDebug("%s all groups finished, cost:%" PRId64 "us", pId, cost);
_end:
if (code != TSDB_CODE_SUCCESS) {
qError("%s %s failed at line %d since %s", pId, __func__, lino, tstrerror(code));
pTaskInfo->code = code;
T_LONG_JMP(pTaskInfo->env, code);
}
(*ppRes) = (pResBlock->info.rows == 0) ? NULL : pResBlock;
return code;
}
static int32_t forecastParseOutput(SForecastSupp* pSupp, SExprSupp* pExprSup) {
pSupp->resLowSlot = -1;
pSupp->resHighSlot = -1;
pSupp->resTsSlot = -1;
pSupp->resValSlot = -1;
for (int32_t j = 0; j < pExprSup->numOfExprs; ++j) {
SExprInfo* pExprInfo = &pExprSup->pExprInfo[j];
int32_t dstSlot = pExprInfo->base.resSchema.slotId;
if (pExprInfo->pExpr->_function.functionType == FUNCTION_TYPE_FORECAST) {
pSupp->resValSlot = dstSlot;
} else if (pExprInfo->pExpr->_function.functionType == FUNCTION_TYPE_FORECAST_ROWTS) {
pSupp->resTsSlot = dstSlot;
} else if (pExprInfo->pExpr->_function.functionType == FUNCTION_TYPE_FORECAST_LOW) {
pSupp->resLowSlot = dstSlot;
} else if (pExprInfo->pExpr->_function.functionType == FUNCTION_TYPE_FORECAST_HIGH) {
pSupp->resHighSlot = dstSlot;
} else {
}
}
return 0;
}
static int32_t validInputParams(SFunctionNode* pFunc, const char* id) {
int32_t code = 0;
int32_t num = LIST_LENGTH(pFunc->pParameterList);
if (num <= 1) {
qError("%s invalid number of parameters:%d", id, num);
code = TSDB_CODE_PLAN_INTERNAL_ERROR;
goto _end;
}
for (int32_t i = 0; i < num; ++i) {
SNode* p = nodesListGetNode(pFunc->pParameterList, i);
if (p == NULL) {
code = TSDB_CODE_PLAN_INTERNAL_ERROR;
qError("%s %d-th parameter in forecast function is NULL, code:%s", id, i, tstrerror(code));
goto _end;
}
}
if (num == 2) { // column_name, timestamp_column_name
SNode* p1 = nodesListGetNode(pFunc->pParameterList, 0);
SNode* p2 = nodesListGetNode(pFunc->pParameterList, 1);
if (nodeType(p1) != QUERY_NODE_COLUMN || nodeType(p2) != QUERY_NODE_COLUMN) {
qError("%s invalid column type, column 1:%d, column 2:%d", id, nodeType(p1), nodeType(p2));
code = TSDB_CODE_PLAN_INTERNAL_ERROR;
goto _end;
}
} else if (num >= 3) {
// column_name_#1, column_name_#2...., analytics_options, timestamp_column_name, primary_key_column if exists
// column_name_#1, timestamp_column_name, primary_key_column if exists
// column_name_#1, analytics_options, timestamp_column_name
SNode* pTarget = nodesListGetNode(pFunc->pParameterList, 0);
if (nodeType(pTarget) != QUERY_NODE_COLUMN) {
code = TSDB_CODE_PLAN_INTERNAL_ERROR;
qError("%s first parameter is not valid column in forecast function", id);
goto _end;
}
SNode* pNode = nodesListGetNode(pFunc->pParameterList, num - 1);
if (nodeType(pNode) != QUERY_NODE_COLUMN) {
qError("%s last parameter is not valid column, actual:%d", id, nodeType(pNode));
code = TSDB_CODE_PLAN_INTERNAL_ERROR;
}
}
_end:
if (code) {
qError("%s valid the parameters failed, code:%s", id, tstrerror(code));
}
return code;
}
static bool existInList(SForecastSupp* pSupp, int32_t slotId) {
for (int32_t j = 0; j < taosArrayGetSize(pSupp->pCovariateSlotList); ++j) {
SColumn* pCol = taosArrayGet(pSupp->pCovariateSlotList, j);
if (pCol->slotId == slotId) {
return true;
}
}
return false;
}
static int32_t forecastParseInput(SForecastSupp* pSupp, SNodeList* pFuncs, const char* id) {
int32_t code = 0;
SNode* pNode = NULL;
pSupp->inputTsSlot = -1;
pSupp->targetValSlot = -1;
pSupp->targetValType = -1;
pSupp->inputPrecision = -1;
FOREACH(pNode, pFuncs) {
if ((nodeType(pNode) == QUERY_NODE_TARGET) && (nodeType(((STargetNode*)pNode)->pExpr) == QUERY_NODE_FUNCTION)) {
SFunctionNode* pFunc = (SFunctionNode*)((STargetNode*)pNode)->pExpr;
int32_t numOfParam = LIST_LENGTH(pFunc->pParameterList);
if (pFunc->funcType == FUNCTION_TYPE_FORECAST) {
code = validInputParams(pFunc, id);
if (code) {
return code;
}
pSupp->numOfInputCols = 2;
if (numOfParam == 2) {
// column, ts
SColumnNode* pTarget = (SColumnNode*)nodesListGetNode(pFunc->pParameterList, 0);
SColumnNode* pTsNode = (SColumnNode*)nodesListGetNode(pFunc->pParameterList, 1);
pSupp->inputTsSlot = pTsNode->slotId;
pSupp->inputPrecision = pTsNode->node.resType.precision;
pSupp->targetValSlot = pTarget->slotId;
pSupp->targetValType = pTarget->node.resType.type;
// let's add the holtwinters as the default forecast algorithm
pSupp->pOptions = taosStrdup("algo=holtwinters");
if (pSupp->pOptions == NULL) {
qError("%s failed to dup forecast option, code:%s", id, tstrerror(terrno));
return terrno;
}
} else {
SColumnNode* pTarget = (SColumnNode*)nodesListGetNode(pFunc->pParameterList, 0);
bool assignTs = false;
bool assignOpt = false;
pSupp->targetValSlot = pTarget->slotId;
pSupp->targetValType = pTarget->node.resType.type;
// set the primary ts column and option info
for (int32_t i = 0; i < numOfParam; ++i) {
SNode* pNode = nodesListGetNode(pFunc->pParameterList, i);
if (nodeType(pNode) == QUERY_NODE_COLUMN) {
SColumnNode* pColNode = (SColumnNode*)pNode;
if (pColNode->isPrimTs && (!assignTs)) {
pSupp->inputTsSlot = pColNode->slotId;
pSupp->inputPrecision = pColNode->node.resType.precision;
assignTs = true;
continue;
}
} else if (nodeType(pNode) == QUERY_NODE_VALUE) {
if (!assignOpt) {
SValueNode* pOptNode = (SValueNode*)pNode;
pSupp->pOptions = taosStrdup(pOptNode->literal);
assignOpt = true;
continue;
}
}
}
if (!assignOpt) {
// set the default forecast option
pSupp->pOptions = taosStrdup("algo=holtwinters");
if (pSupp->pOptions == NULL) {
qError("%s failed to dup forecast option, code:%s", id, tstrerror(terrno));
return terrno;
}
}
pSupp->pCovariateSlotList = taosArrayInit(4, sizeof(SColumn));
pSupp->pDynamicRealList = taosArrayInit(4, sizeof(SColFutureData));
// the first is the target column
for (int32_t i = 1; i < numOfParam; ++i) {
SColumnNode* p = (SColumnNode*)nodesListGetNode(pFunc->pParameterList, i);
if ((nodeType(p) != QUERY_NODE_COLUMN) || (nodeType(p) == QUERY_NODE_COLUMN && p->isPrimTs)) {
break;
}
if (p->slotId == pSupp->targetValSlot) {
continue; // duplicate the target column, ignore it
}
bool exist = existInList(pSupp, p->slotId);
if (exist) {
continue; // duplicate column, ignore it
}
SColumn col = {.slotId = p->slotId,
.colType = p->colType,
.type = p->node.resType.type,
.bytes = p->node.resType.bytes};
tstrncpy(col.name, p->colName, tListLen(col.name));
void* pRet = taosArrayPush(pSupp->pCovariateSlotList, &col);
if (pRet == NULL) {
code = terrno;
qError("failed to record the covariate slot index, since %s", tstrerror(code));
}
}
pSupp->numOfInputCols += taosArrayGetSize(pSupp->pCovariateSlotList);
}
}
}
}
return code;
}
static void initForecastOpt(SForecastSupp* pSupp) {
pSupp->maxTs = 0;
pSupp->minTs = INT64_MAX;
pSupp->numOfRows = 0;
pSupp->wncheck = ANALY_DEFAULT_WNCHECK;
pSupp->forecastRows = ANALY_FORECAST_DEFAULT_ROWS;
pSupp->conf = ANALY_FORECAST_DEFAULT_CONF;
pSupp->setEvery = 0;
pSupp->setStart = 0;
}
static int32_t filterNotSupportForecast(SForecastSupp* pSupp) {
if (taosArrayGetSize(pSupp->pCovariateSlotList) > 0) {
if (taosStrcasecmp(pSupp->algoName, "holtwinters") == 0) {
return TSDB_CODE_ANA_NOT_SUPPORT_FORECAST;
} else if (taosStrcasecmp(pSupp->algoName, "arima") == 0) {
return TSDB_CODE_ANA_NOT_SUPPORT_FORECAST;
} else if (taosStrcasecmp(pSupp->algoName, "timemoe-fc") == 0) {
return TSDB_CODE_ANA_NOT_SUPPORT_FORECAST;
}
}
return TSDB_CODE_SUCCESS;
}
static int32_t forecastParseOpt(SForecastSupp* pSupp, const char* id) {
int32_t code = 0;
int32_t lino = 0;
SHashObj* pHashMap = NULL;
initForecastOpt(pSupp);
code = taosAnalyGetOpts(pSupp->pOptions, &pHashMap);
if (code != TSDB_CODE_SUCCESS) {
return code;
}
if (taosHashGetSize(pHashMap) == 0) {
code = TSDB_CODE_INVALID_PARA;
qError("%s no valid options for forecast, failed to exec", id);
return code;
}
if (taosHashGetSize(pHashMap) == 0) {
code = TSDB_CODE_INVALID_PARA;
qError("%s no valid options for forecast, failed to exec", id);
return code;
}
code = taosAnalysisParseAlgo(pSupp->pOptions, pSupp->algoName, pSupp->algoUrl, ANALY_ALGO_TYPE_FORECAST,
tListLen(pSupp->algoUrl), pHashMap, id);
TSDB_CHECK_CODE(code, lino, _end);
code = filterNotSupportForecast(pSupp);
if (code) {
qError("%s not support forecast model, %s", id, pSupp->algoName);
TSDB_CHECK_CODE(code, lino, _end);
}
// extract the timeout parameter
pSupp->timeout = taosAnalysisParseTimout(pHashMap, id);
pSupp->wncheck = taosAnalysisParseWncheck(pHashMap, id);
// extract the forecast rows
char* pRows = taosHashGet(pHashMap, ALGO_OPT_FORECASTROWS_NAME, strlen(ALGO_OPT_FORECASTROWS_NAME));
if (pRows != NULL) {
int64_t v = 0;
code = toInteger(pRows, taosHashGetValueSize(pRows), 10, &v);
pSupp->forecastRows = v;
qDebug("%s forecast rows:%"PRId64, id, pSupp->forecastRows);
} else {
qDebug("%s forecast rows not found:%s, use default:%" PRId64, id, pSupp->pOptions, pSupp->forecastRows);
}
if (pSupp->forecastRows > ANALY_FORECAST_RES_MAX_ROWS) {
qError("%s required too many forecast rows, max allowed:%d, required:%" PRId64, id, ANALY_FORECAST_RES_MAX_ROWS,
pSupp->forecastRows);
code = TSDB_CODE_ANA_ANODE_TOO_MANY_ROWS;
goto _end;
}
if (pSupp->forecastRows <= 0) {
qError("%s output rows should be greater than 0, input:%" PRId64, id, pSupp->forecastRows);
code = TSDB_CODE_INVALID_PARA;
goto _end;
}
// extract the confidence interval value
char* pConf = taosHashGet(pHashMap, ALGO_OPT_CONF_NAME, strlen(ALGO_OPT_CONF_NAME));
if (pConf != NULL) {
char* endPtr = NULL;
double v = taosStr2Double(pConf, &endPtr);
pSupp->conf = v;
if (v <= 0 || v > 1.0) {
pSupp->conf = ANALY_FORECAST_DEFAULT_CONF;
qWarn("%s valid conf range is (0, 1], user specified:%.2f out of range, set the default:%.2f", id, v,
pSupp->conf);
} else {
qDebug("%s forecast conf:%.2f", id, pSupp->conf);
}
} else {
qDebug("%s forecast conf not found:%s, use default:%.2f", id, pSupp->pOptions, pSupp->conf);
}
// extract the start timestamp
char* pStart = taosHashGet(pHashMap, ALGO_OPT_START_NAME, strlen(ALGO_OPT_START_NAME));
if (pStart != NULL) {
int64_t v = 0;
code = toInteger(pStart, taosHashGetValueSize(pStart), 10, &v);
pSupp->startTs = v;
pSupp->setStart = 1;
qDebug("%s forecast set start ts:%"PRId64, id, pSupp->startTs);
}
// extract the time step
char* pEvery = taosHashGet(pHashMap, ALGO_OPT_EVERY_NAME, strlen(ALGO_OPT_EVERY_NAME));
if (pEvery != NULL) {
int64_t v = 0;
code = toInteger(pEvery, taosHashGetValueSize(pEvery), 10, &v);
pSupp->every = v;
pSupp->setEvery = 1;
qDebug("%s forecast set every ts:%"PRId64, id, pSupp->every);
}
if (pSupp->setEvery && pSupp->every <= 0) {
qError("%s period should be greater than 0, user specified:%"PRId64, id, pSupp->every);
code = TSDB_CODE_INVALID_PARA;
goto _end;
}
// extract the dynamic real feature for covariate forecasting
void* pIter = NULL;
size_t keyLen = 0;
const char* p = "dynamic_real_";
while ((pIter = taosHashIterate(pHashMap, pIter))) {
const char* pVal = pIter;
char* pKey = taosHashGetKey((void*)pVal, &keyLen);
int32_t idx = 0;
char nameBuf[512] = {0};
if (strncmp(pKey, p, strlen(p)) == 0) {
if (strncmp(&pKey[keyLen - 4], "_col", 4) == 0) {
continue;
}
int32_t ret = sscanf(pKey, "dynamic_real_%d", &idx);
if (ret == 0) {
continue;
}
memcpy(nameBuf, pKey, keyLen);
strncpy(&nameBuf[keyLen], "_col", strlen("_col"));
void* pCol = taosHashGet(pHashMap, nameBuf, strlen(nameBuf));
if (pCol == NULL) {
char* pTmp = taosStrndupi(pKey, keyLen);
qError("%s dynamic real column related:%s column name:%s not specified", id, pTmp, nameBuf);
taosMemoryFree(pTmp);
code = TSDB_CODE_INVALID_PARA;
goto _end;
} else {
// build dynamic_real_feature
SColFutureData d = {.pName = taosStrndupi(pCol, taosHashGetValueSize(pCol))};
if (d.pName == NULL) {
qError("%s failed to clone the future dynamic real column name:%s", id, (char*) pCol);
code = terrno;
goto _end;
}
int32_t index = -1;
for (int32_t i = 0; i < taosArrayGetSize(pSupp->pCovariateSlotList); ++i) {
SColumn* pColx = taosArrayGet(pSupp->pCovariateSlotList, i);
if (strcmp(pColx->name, d.pName) == 0) {
index = i;
break;
}
}
if (index == -1) {
qError("%s not found the required future dynamic real column:%s", id, d.pName);
code = TSDB_CODE_INVALID_PARA;
taosMemoryFree(d.pName);
goto _end;
}
SColumn* pColx = taosArrayGet(pSupp->pCovariateSlotList, index);
d.data.info.slotId = pColx->slotId;
d.data.info.type = pColx->type;
d.data.info.bytes = pColx->bytes;
int32_t len = taosHashGetValueSize((void*)pVal);
char* buf = taosStrndupi(pVal, len);
int32_t unused = strdequote((char*)buf);
int32_t num = 0;
char** pList = strsplit(buf, " ", &num);
if (num != pSupp->forecastRows) {
qError("%s the rows:%d of future dynamic real column data is not equalled to the forecasting rows:%" PRId64,
id, num, pSupp->forecastRows);
code = TSDB_CODE_INVALID_PARA;
taosMemoryFree(d.pName);
taosMemoryFree(pList);
taosMemoryFree(buf);
goto _end;
}
d.numOfRows = num;
code = colInfoDataEnsureCapacity(&d.data, num, true);
if (code != 0) {
qError("%s failed to prepare buffer, code:%s", id, tstrerror(code));
goto _end;
}
for (int32_t j = 0; j < num; ++j) {
char* ps = NULL;
if (j == 0) {
ps = strstr(pList[j], "[") + 1;
} else {
ps = pList[j];
}
code = 0;
switch(pColx->type) {
case TSDB_DATA_TYPE_TINYINT: {
int8_t t1 = taosStr2Int8(ps, NULL, 10);
code = colDataSetVal(&d.data, j, (const char*)&t1, false);
break;
}
case TSDB_DATA_TYPE_SMALLINT: {
int16_t t1 = taosStr2Int16(ps, NULL, 10);
code = colDataSetVal(&d.data, j, (const char*)&t1, false);
break;
}
case TSDB_DATA_TYPE_INT: {
int32_t t1 = taosStr2Int32(ps, NULL, 10);
code = colDataSetVal(&d.data, j, (const char*)&t1, false);
break;
}
case TSDB_DATA_TYPE_BIGINT: {
int64_t t1 = taosStr2Int64(ps, NULL, 10);
code = colDataSetVal(&d.data, j, (const char*)&t1, false);
break;
}
case TSDB_DATA_TYPE_FLOAT: {
float t1 = taosStr2Float(ps, NULL);
code = colDataSetVal(&d.data, j, (const char*)&t1, false);
break;
}
case TSDB_DATA_TYPE_DOUBLE: {
double t1 = taosStr2Double(ps, NULL);
code = colDataSetVal(&d.data, j, (const char*)&t1, false);
break;
}
case TSDB_DATA_TYPE_UTINYINT: {
uint8_t t1 = taosStr2UInt8(ps, NULL, 10);
code = colDataSetVal(&d.data, j, (const char*)&t1, false);
break;
}
case TSDB_DATA_TYPE_USMALLINT: {
uint16_t t1 = taosStr2UInt16(ps, NULL, 10);
code = colDataSetVal(&d.data, j, (const char*)&t1, false);
break;
}
case TSDB_DATA_TYPE_UINT: {
uint32_t t1 = taosStr2UInt32(ps, NULL, 10);
code = colDataSetVal(&d.data, j, (const char*)&t1, false);
break;
}
case TSDB_DATA_TYPE_UBIGINT: {
uint64_t t1 = taosStr2UInt64(ps, NULL, 10);
code = colDataSetVal(&d.data, j, (const char*)&t1, false);
break;
}
}
if (code != 0) {
break;
}
}
taosMemoryFree(pList);
taosMemoryFree(buf);
if (code != 0) {
goto _end;
}
void* noret = taosArrayPush(pSupp->pDynamicRealList, &d);
if (noret == NULL) {
qError("%s failed to add column info in dynamic real column info", id);
code = terrno;
goto _end;
}
}
}
}
_end:
taosHashCleanup(pHashMap);
return code;
}
static int32_t forecastCreateBuf(SForecastSupp* pSupp, const char* pId) {
SAnalyticBuf* pBuf = &pSupp->analyBuf;
int64_t ts = taosGetTimestampNs();
int32_t index = 0;
pBuf->bufType = ANALYTICS_BUF_TYPE_JSON_COL;
snprintf(pBuf->fileName, sizeof(pBuf->fileName), "%s/tdengine-forecast-%p-%" PRId64, tsTempDir, pSupp, ts);
int32_t numOfCols = taosArrayGetSize(pSupp->pCovariateSlotList) + 2;
int32_t code = tsosAnalyBufOpen(pBuf, numOfCols, pId);
if (code != 0) goto _OVER;
code = taosAnalyBufWriteColMeta(pBuf, index++, TSDB_DATA_TYPE_TIMESTAMP, "ts");
if (code != 0) goto _OVER;
code = taosAnalyBufWriteColMeta(pBuf, index++, pSupp->targetValType, "val");
if (code != 0) goto _OVER;
int32_t numOfDynamicReal = taosArrayGetSize(pSupp->pDynamicRealList);
int32_t numOfPastDynamicReal = taosArrayGetSize(pSupp->pCovariateSlotList);
if (numOfPastDynamicReal >= numOfDynamicReal) {
for(int32_t i = 0; i < numOfDynamicReal; ++i) {
SColFutureData* pData = taosArrayGet(pSupp->pDynamicRealList, i);
for(int32_t k = 0; k < taosArrayGetSize(pSupp->pCovariateSlotList); ++k) {
SColumn* pCol = taosArrayGet(pSupp->pCovariateSlotList, k);
if (strcmp(pCol->name, pData->pName) == 0) {
char name[128] = {0};
(void) tsnprintf(name, tListLen(name), "dynamic_real_%d", i + 1);
code = taosAnalyBufWriteColMeta(pBuf, index++, pCol->type, name);
if (code != 0) {
goto _OVER;
}
memcpy(&pData->col, pCol, sizeof(SColumn));
taosArrayRemove(pSupp->pCovariateSlotList, k);
break;
}
}
}
numOfPastDynamicReal = taosArrayGetSize(pSupp->pCovariateSlotList);
for (int32_t j = 0; j < numOfPastDynamicReal; ++j) {
SColumn* pCol = taosArrayGet(pSupp->pCovariateSlotList, j);
char name[128] = {0};
(void)tsnprintf(name, tListLen(name), "past_dynamic_real_%d", j + 1);
code = taosAnalyBufWriteColMeta(pBuf, index++, pCol->type, name);
if (code) {
goto _OVER;
}
}
}
code = taosAnalyBufWriteDataBegin(pBuf);
if (code != 0) goto _OVER;
for (int32_t i = 0; i < pSupp->numOfInputCols; ++i) {
code = taosAnalyBufWriteColBegin(pBuf, i);
if (code != 0) goto _OVER;
}
_OVER:
if (code != 0) {
(void)taosAnalyBufClose(pBuf);
taosAnalyBufDestroy(pBuf);
}
return code;
}
static int32_t resetForecastOperState(SOperatorInfo* pOper) {
int32_t code = 0, lino = 0;
SForecastOperatorInfo* pInfo = pOper->info;
const char* pId = pOper->pTaskInfo->id.str;
SForecastFuncPhysiNode* pForecastPhyNode = (SForecastFuncPhysiNode*)pOper->pPhyNode;
SExecTaskInfo* pTaskInfo = pOper->pTaskInfo;
pOper->status = OP_NOT_OPENED;
blockDataCleanup(pInfo->pRes);
taosArrayDestroy(pInfo->forecastSupp.pCovariateSlotList);
pInfo->forecastSupp.pCovariateSlotList = NULL;
taosAnalyBufDestroy(&pInfo->forecastSupp.analyBuf);
cleanupExprSupp(&pOper->exprSupp);
cleanupExprSupp(&pInfo->scalarSup);
int32_t numOfExprs = 0;
SExprInfo* pExprInfo = NULL;
TAOS_CHECK_EXIT(createExprInfo(pForecastPhyNode->pFuncs, NULL, &pExprInfo, &numOfExprs));
TAOS_CHECK_EXIT(initExprSupp(&pOper->exprSupp, pExprInfo, numOfExprs, &pTaskInfo->storageAPI.functionStore));
TAOS_CHECK_EXIT(filterInitFromNode((SNode*)pForecastPhyNode->node.pConditions, &pOper->exprSupp.pFilterInfo, 0,
pTaskInfo->pStreamRuntimeInfo));
TAOS_CHECK_EXIT(forecastParseInput(&pInfo->forecastSupp, pForecastPhyNode->pFuncs, pId));
TAOS_CHECK_EXIT(forecastParseOutput(&pInfo->forecastSupp, &pOper->exprSupp));
TAOS_CHECK_EXIT(forecastParseOpt(&pInfo->forecastSupp, pId));
TAOS_CHECK_EXIT(forecastCreateBuf(&pInfo->forecastSupp, pId));
if (pForecastPhyNode->pExprs != NULL) {
int32_t num = 0;
SExprInfo* pScalarExprInfo = NULL;
TAOS_CHECK_EXIT(createExprInfo(pForecastPhyNode->pExprs, NULL, &pScalarExprInfo, &num));
TAOS_CHECK_EXIT(initExprSupp(&pInfo->scalarSup, pScalarExprInfo, num, &pTaskInfo->storageAPI.functionStore));
}
initResultSizeInfo(&pOper->resultInfo, 4096);
_exit:
if (code) {
qError("%s failed at line %d since %s", __func__, lino, tstrerror(code));
}
return code;
}
int32_t createForecastOperatorInfo(SOperatorInfo* downstream, SPhysiNode* pPhyNode, SExecTaskInfo* pTaskInfo,
SOperatorInfo** pOptrInfo) {
QRY_PARAM_CHECK(pOptrInfo);
int32_t code = 0;
int32_t lino = 0;
SForecastOperatorInfo* pInfo = taosMemoryCalloc(1, sizeof(SForecastOperatorInfo));
SOperatorInfo* pOperator = taosMemoryCalloc(1, sizeof(SOperatorInfo));
if (pOperator == NULL || pInfo == NULL) {
code = terrno;
goto _error;
}
pOperator->pPhyNode = pPhyNode;
const char* pId = pTaskInfo->id.str;
SForecastSupp* pSupp = &pInfo->forecastSupp;
SForecastFuncPhysiNode* pForecastPhyNode = (SForecastFuncPhysiNode*)pPhyNode;
SExprSupp* pExprSup = &pOperator->exprSupp;
int32_t numOfExprs = 0;
SExprInfo* pExprInfo = NULL;
code = createExprInfo(pForecastPhyNode->pFuncs, NULL, &pExprInfo, &numOfExprs);
QUERY_CHECK_CODE(code, lino, _error);
code = initExprSupp(pExprSup, pExprInfo, numOfExprs, &pTaskInfo->storageAPI.functionStore);
QUERY_CHECK_CODE(code, lino, _error);
if (pForecastPhyNode->pExprs != NULL) {
int32_t num = 0;
SExprInfo* pScalarExprInfo = NULL;
code = createExprInfo(pForecastPhyNode->pExprs, NULL, &pScalarExprInfo, &num);
QUERY_CHECK_CODE(code, lino, _error);
code = initExprSupp(&pInfo->scalarSup, pScalarExprInfo, num, &pTaskInfo->storageAPI.functionStore);
QUERY_CHECK_CODE(code, lino, _error);
}
code = filterInitFromNode((SNode*)pForecastPhyNode->node.pConditions, &pOperator->exprSupp.pFilterInfo, 0,
pTaskInfo->pStreamRuntimeInfo);
QUERY_CHECK_CODE(code, lino, _error);
code = forecastParseInput(pSupp, pForecastPhyNode->pFuncs, pId);
QUERY_CHECK_CODE(code, lino, _error);
code = forecastParseOutput(pSupp, pExprSup);
QUERY_CHECK_CODE(code, lino, _error);
code = forecastParseOpt(pSupp, pId);
QUERY_CHECK_CODE(code, lino, _error);
code = forecastCreateBuf(pSupp, pId);
QUERY_CHECK_CODE(code, lino, _error);
initResultSizeInfo(&pOperator->resultInfo, 4096);
pInfo->pRes = createDataBlockFromDescNode(pPhyNode->pOutputDataBlockDesc);
QUERY_CHECK_NULL(pInfo->pRes, code, lino, _error, terrno);
setOperatorInfo(pOperator, "ForecastOperator", QUERY_NODE_PHYSICAL_PLAN_FORECAST_FUNC, false, OP_NOT_OPENED, pInfo,
pTaskInfo);
pOperator->fpSet = createOperatorFpSet(optrDummyOpenFn, forecastNext, NULL, destroyForecastInfo, optrDefaultBufFn,
NULL, optrDefaultGetNextExtFn, NULL);
setOperatorResetStateFn(pOperator, resetForecastOperState);
code = blockDataEnsureCapacity(pInfo->pRes, pOperator->resultInfo.capacity);
QUERY_CHECK_CODE(code, lino, _error);
code = appendDownstream(pOperator, &downstream, 1);
QUERY_CHECK_CODE(code, lino, _error);
*pOptrInfo = pOperator;
qDebug("%s forecast env is initialized, option:%s", pId, pSupp->pOptions);
return TSDB_CODE_SUCCESS;
_error:
if (code != TSDB_CODE_SUCCESS) {
qError("%s %s failed at line %d since %s", pId, __func__, lino, tstrerror(code));
}
if (pInfo != NULL) destroyForecastInfo(pInfo);
destroyOperatorAndDownstreams(pOperator, &downstream, 1);
pTaskInfo->code = code;
return code;
}
static void destroyColFutureData(void* p) {
SColFutureData* pData = p;
taosMemoryFree(pData->pName);
colDataDestroy(&pData->data);
}
static void destroyForecastInfo(void* param) {
SForecastOperatorInfo* pInfo = (SForecastOperatorInfo*)param;
blockDataDestroy(pInfo->pRes);
pInfo->pRes = NULL;
taosArrayDestroy(pInfo->forecastSupp.pCovariateSlotList);
pInfo->forecastSupp.pCovariateSlotList = NULL;
taosArrayDestroyEx(pInfo->forecastSupp.pDynamicRealList, destroyColFutureData);
pInfo->forecastSupp.pDynamicRealList = NULL;
taosMemoryFree(pInfo->forecastSupp.pOptions);
cleanupExprSupp(&pInfo->scalarSup);
taosAnalyBufDestroy(&pInfo->forecastSupp.analyBuf);
taosMemoryFreeClear(param);
}
#else
int32_t createForecastOperatorInfo(SOperatorInfo* downstream, SPhysiNode* pPhyNode, SExecTaskInfo* pTaskInfo,
SOperatorInfo** pOptrInfo) {
return TSDB_CODE_OPS_NOT_SUPPORT;
}
#endif
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