mirror of
https://github.com/mariadb-corporation/mariadb-columnstore-engine.git
synced 2025-06-09 06:41:19 +03:00
176 lines
4.7 KiB
C++
176 lines
4.7 KiB
C++
/* Copyright (C) 2017 MariaDB Corporation
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This program is free software; you can redistribute it and/or
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modify it under the terms of the GNU General Public License
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as published by the Free Software Foundation; version 2 of
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the License.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program; if not, write to the Free Software
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Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
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MA 02110-1301, USA. */
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#include <sstream>
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#include <cstring>
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#include <typeinfo>
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#include "regr_syy.h"
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#include "bytestream.h"
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#include "objectreader.h"
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using namespace mcsv1sdk;
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class Add_regr_syy_ToUDAFMap
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{
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public:
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Add_regr_syy_ToUDAFMap()
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{
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UDAFMap::getMap()["regr_syy"] = new regr_syy();
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}
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};
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static Add_regr_syy_ToUDAFMap addToMap;
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// Use the simple data model
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struct regr_syy_data
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{
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uint64_t cnt;
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long double avgy;
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long double cy; // sum of (y squared)
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};
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mcsv1_UDAF::ReturnCode regr_syy::init(mcsv1Context* context, ColumnDatum* colTypes)
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{
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if (context->getParameterCount() != 2)
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{
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// The error message will be prepended with
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// "The storage engine for the table doesn't support "
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context->setErrorMessage("regr_syy() with other than 2 arguments");
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return mcsv1_UDAF::ERROR;
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}
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if (!(isNumeric(colTypes[0].dataType)))
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{
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// The error message will be prepended with
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// "The storage engine for the table doesn't support "
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context->setErrorMessage("regr_syy() with a non-numeric dependant (first) argument");
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return mcsv1_UDAF::ERROR;
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}
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context->setUserDataSize(sizeof(regr_syy_data));
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context->setResultType(execplan::CalpontSystemCatalog::DOUBLE);
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context->setColWidth(8);
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context->setScale(DECIMAL_NOT_SPECIFIED);
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context->setPrecision(0);
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context->setRunFlag(mcsv1sdk::UDAF_IGNORE_NULLS);
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode regr_syy::reset(mcsv1Context* context)
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{
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struct regr_syy_data* data = (struct regr_syy_data*)context->getUserData()->data;
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data->cnt = 0;
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data->avgy = 0.0;
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data->cy = 0.0;
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode regr_syy::nextValue(mcsv1Context* context, ColumnDatum* valsIn)
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{
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double valy = toDouble(valsIn[0]);
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struct regr_syy_data* data = (struct regr_syy_data*)context->getUserData()->data;
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long double avgyPrev = data->avgy;
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long double cyPrev = data->cy;
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++data->cnt;
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uint64_t cnt = data->cnt;
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long double dy = valy - avgyPrev;
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avgyPrev += dy / cnt;
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cyPrev += dy * (valy - avgyPrev);
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data->avgy = avgyPrev;
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data->cy = cyPrev;
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode regr_syy::subEvaluate(mcsv1Context* context, const UserData* userDataIn)
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{
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if (!userDataIn)
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{
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return mcsv1_UDAF::SUCCESS;
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}
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struct regr_syy_data* outData = (struct regr_syy_data*)context->getUserData()->data;
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struct regr_syy_data* inData = (struct regr_syy_data*)userDataIn->data;
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uint64_t outCnt = outData->cnt;
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long double outAvgy = outData->avgy;
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long double outCy = outData->cy;
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uint64_t inCnt = inData->cnt;
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long double inAvgy = inData->avgy;
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long double inCy = inData->cy;
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uint64_t resCnt = inCnt + outCnt;
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if (resCnt == 0)
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{
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outData->avgy = 0;
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outData->cy = 0;
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outData->cnt = 0;
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}
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else
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{
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long double deltay = outAvgy - inAvgy;
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long double resAvgy = inAvgy + deltay * outCnt / resCnt;
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long double resCy = outCy + inCy + deltay * deltay * inCnt * outCnt / resCnt;
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outData->avgy = resAvgy;
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outData->cy = resCy;
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outData->cnt = resCnt;
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}
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode regr_syy::evaluate(mcsv1Context* context, static_any::any& valOut)
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{
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struct regr_syy_data* data = (struct regr_syy_data*)context->getUserData()->data;
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long double N = data->cnt;
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if (N > 0)
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{
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long double var_popy = data->cy;
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if (var_popy < 0) // might be -0
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var_popy = 0;
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valOut = static_cast<double>(var_popy);
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}
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode regr_syy::dropValue(mcsv1Context* context, ColumnDatum* valsDropped)
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{
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double valy = toDouble(valsDropped[0]);
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struct regr_syy_data* data = (struct regr_syy_data*)context->getUserData()->data;
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long double avgyPrev = data->avgy;
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long double cyPrev = data->cy;
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--data->cnt;
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uint64_t cnt = data->cnt;
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if (cnt == 0)
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{
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data->avgy = 0;
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data->cy = 0;
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}
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else
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{
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long double dy = valy - avgyPrev;
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avgyPrev -= dy / cnt;
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cyPrev -= dy * (valy - avgyPrev);
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data->avgy = avgyPrev;
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data->cy = cyPrev;
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}
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return mcsv1_UDAF::SUCCESS;
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}
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