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176 lines
4.8 KiB
C++
176 lines
4.8 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 "corr.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_corr_ToUDAFMap
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{
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public:
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Add_corr_ToUDAFMap()
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{
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UDAFMap::getMap()["corr"] = new corr();
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}
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};
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static Add_corr_ToUDAFMap addToMap;
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// Use the simple data model
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struct corr_data
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{
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uint64_t cnt;
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long double sumx;
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long double sumx2; // sum of (x squared)
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long double sumy;
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long double sumy2; // sum of (y squared)
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long double sumxy; // sum of x * y
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};
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mcsv1_UDAF::ReturnCode corr::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("corr() 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) && isNumeric(colTypes[1].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("corr() with non-numeric arguments");
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return mcsv1_UDAF::ERROR;
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}
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context->setUserDataSize(sizeof(corr_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 corr::reset(mcsv1Context* context)
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{
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struct corr_data* data = (struct corr_data*)context->getUserData()->data;
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data->cnt = 0;
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data->sumx = 0.0;
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data->sumx2 = 0.0;
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data->sumy = 0.0;
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data->sumy2 = 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 corr::nextValue(mcsv1Context* context, ColumnDatum* valsIn)
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{
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double valy = toDouble(valsIn[0]);
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double valx = toDouble(valsIn[1]);
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struct corr_data* data = (struct corr_data*)context->getUserData()->data;
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data->sumy += valy;
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data->sumy2 += valy * valy;
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data->sumx += valx;
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data->sumx2 += valx * 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 corr::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 corr_data* outData = (struct corr_data*)context->getUserData()->data;
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struct corr_data* inData = (struct corr_data*)userDataIn->data;
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outData->sumx += inData->sumx;
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outData->sumx2 += inData->sumx2;
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outData->sumy += inData->sumy;
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outData->sumy2 += inData->sumy2;
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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 corr::evaluate(mcsv1Context* context, static_any::any& valOut)
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{
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struct corr_data* data = (struct corr_data*)context->getUserData()->data;
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double N = data->cnt;
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if (N > 1)
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{
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long double sumx = data->sumx;
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long double sumy = data->sumy;
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long double sumx2 = data->sumx2;
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long double sumy2 = data->sumy2;
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long double sumxy = data->sumxy;
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long double var_popx = (sumx2 - (sumx * sumx / N)) / N;
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if (var_popx <= 0) // Catch -0
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{
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// When var_popx is 0, NULL is the result.
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return mcsv1_UDAF::SUCCESS;
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}
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long double var_popy = (sumy2 - (sumy * sumy / N)) / N;
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if (var_popy <= 0) // Catch -0
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{
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// When var_popy is 0, NULL is the result
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return mcsv1_UDAF::SUCCESS;
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}
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long double std_popx = sqrt(var_popx);
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long double std_popy = sqrt(var_popy);
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long double covar_pop = (sumxy - ((sumx * sumy) / N)) / N;
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long double corr = covar_pop / (std_popy * std_popx);
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valOut = static_cast<double>(corr);
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}
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode corr::dropValue(mcsv1Context* context, ColumnDatum* valsDropped)
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{
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double valy = toDouble(valsDropped[0]);
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double valx = toDouble(valsDropped[1]);
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struct corr_data* data = (struct corr_data*)context->getUserData()->data;
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data->sumy -= valy;
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data->sumy2 -= valy * valy;
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data->sumx -= valx;
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data->sumx2 -= valx * 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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