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MCOL-1759 Add corr(), covar_pop(), covar_samp(), regr_sxx(), regr_sxy(), regr_syy() functions as UDAF
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189
utils/regr/regr_sxy.cpp
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189
utils/regr/regr_sxy.cpp
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/* Copyright (C) 2017 MariaDB Corporaton
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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_sxy.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_sxy_ToUDAFMap
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{
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public:
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Add_regr_sxy_ToUDAFMap()
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{
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UDAFMap::getMap()["regr_sxy"] = new regr_sxy();
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}
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};
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static Add_regr_sxy_ToUDAFMap addToMap;
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// Use the simple data model
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struct regr_sxy_data
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{
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uint64_t cnt;
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double sumx;
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double sumy;
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double sumxy; // sum of x * y
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};
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mcsv1_UDAF::ReturnCode regr_sxy::init(mcsv1Context* context,
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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_sxy() with other than 2 arguments");
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return mcsv1_UDAF::ERROR;
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}
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context->setUserDataSize(sizeof(regr_sxy_data));
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context->setResultType(CalpontSystemCatalog::DOUBLE);
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context->setColWidth(8);
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context->setScale(colTypes[0].scale + 8);
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context->setPrecision(19);
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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_sxy::reset(mcsv1Context* context)
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{
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struct regr_sxy_data* data = (struct regr_sxy_data*)context->getUserData()->data;
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data->cnt = 0;
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data->sumx = 0.0;
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data->sumy = 0.0;
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data->sumxy = 0.0;
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode regr_sxy::nextValue(mcsv1Context* context, ColumnDatum* valsIn)
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{
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static_any::any& valIn_y = valsIn[0].columnData;
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static_any::any& valIn_x = valsIn[1].columnData;
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struct regr_sxy_data* data = (struct regr_sxy_data*)context->getUserData()->data;
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double valx = 0.0;
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double valy = 0.0;
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valx = convertAnyTo<double>(valIn_x);
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valy = convertAnyTo<double>(valIn_y);
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// For decimal types, we need to move the decimal point.
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uint32_t scaley = valsIn[0].scale;
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if (valy != 0 && scaley > 0)
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{
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valy /= pow(10.0, (double)scaley);
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}
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data->sumy += valy;
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// For decimal types, we need to move the decimal point.
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uint32_t scalex = valsIn[1].scale;
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if (valx != 0 && scalex > 0)
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{
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valx /= pow(10.0, (double)scalex);
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}
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data->sumx += valx;
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data->sumxy += valx*valy;
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++data->cnt;
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode regr_sxy::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_sxy_data* outData = (struct regr_sxy_data*)context->getUserData()->data;
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struct regr_sxy_data* inData = (struct regr_sxy_data*)userDataIn->data;
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outData->sumx += inData->sumx;
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outData->sumy += inData->sumy;
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outData->sumxy += inData->sumxy;
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outData->cnt += inData->cnt;
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode regr_sxy::evaluate(mcsv1Context* context, static_any::any& valOut)
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{
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struct regr_sxy_data* data = (struct regr_sxy_data*)context->getUserData()->data;
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double N = data->cnt;
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if (N > 0)
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{
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double sumx = data->sumx;
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double sumy = data->sumy;
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double sumxy = data->sumxy;
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double covar_pop = (sumxy - ((sumx * sumy) / N)) / N;
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double regr_sxy = data->cnt * covar_pop;
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valOut = regr_sxy;
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}
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode regr_sxy::dropValue(mcsv1Context* context, ColumnDatum* valsDropped)
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{
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static_any::any& valIn_y = valsDropped[0].columnData;
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static_any::any& valIn_x = valsDropped[1].columnData;
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struct regr_sxy_data* data = (struct regr_sxy_data*)context->getUserData()->data;
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double valx = 0.0;
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double valy = 0.0;
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valx = convertAnyTo<double>(valIn_x);
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valy = convertAnyTo<double>(valIn_y);
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// For decimal types, we need to move the decimal point.
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uint32_t scaley = valsDropped[0].scale;
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if (valy != 0 && scaley > 0)
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{
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valy /= pow(10.0, (double)scaley);
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}
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data->sumy -= valy;
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// For decimal types, we need to move the decimal point.
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uint32_t scalex = valsDropped[1].scale;
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if (valx != 0 && scalex > 0)
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{
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valx /= pow(10.0, (double)scalex);
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}
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data->sumx -= valx;
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data->sumxy -= valx*valy;
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--data->cnt;
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return mcsv1_UDAF::SUCCESS;
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}
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