mirror of
https://github.com/mariadb-corporation/mariadb-columnstore-engine.git
synced 2025-06-09 06:41:19 +03:00
133 lines
3.5 KiB
C++
133 lines
3.5 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_avgx.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_avgx_ToUDAFMap
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{
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public:
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Add_regr_avgx_ToUDAFMap()
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{
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UDAFMap::getMap()["regr_avgx"] = new regr_avgx();
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}
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};
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static Add_regr_avgx_ToUDAFMap addToMap;
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#define DATATYPE double
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// Use the simple data model
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struct regr_avgx_data
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{
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long double sum;
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uint64_t cnt;
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};
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mcsv1_UDAF::ReturnCode regr_avgx::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_avgx() with other than 2 arguments");
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return mcsv1_UDAF::ERROR;
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}
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if (!(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("regr_avgx() with a non-numeric x argument");
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return mcsv1_UDAF::ERROR;
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}
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context->setUserDataSize(sizeof(regr_avgx_data));
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context->setResultType(execplan::CalpontSystemCatalog::DOUBLE);
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context->setColWidth(8);
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context->setScale(colTypes[1].scale + 4);
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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_avgx::reset(mcsv1Context* context)
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{
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struct regr_avgx_data* data = (struct regr_avgx_data*)context->getUserData()->data;
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data->sum = 0;
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data->cnt = 0;
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode regr_avgx::nextValue(mcsv1Context* context, ColumnDatum* valsIn)
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{
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DATATYPE val = toDouble(valsIn[1]);
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struct regr_avgx_data* data = (struct regr_avgx_data*)context->getUserData()->data;
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data->sum += val;
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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_avgx::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_avgx_data* outData = (struct regr_avgx_data*)context->getUserData()->data;
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struct regr_avgx_data* inData = (struct regr_avgx_data*)userDataIn->data;
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outData->sum += inData->sum;
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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_avgx::evaluate(mcsv1Context* context, static_any::any& valOut)
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{
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struct regr_avgx_data* data = (struct regr_avgx_data*)context->getUserData()->data;
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if (data->cnt > 0)
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{
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valOut = static_cast<double>(data->sum / (long double)data->cnt);
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}
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return mcsv1_UDAF::SUCCESS;
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}
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mcsv1_UDAF::ReturnCode regr_avgx::dropValue(mcsv1Context* context, ColumnDatum* valsDropped)
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{
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double val = toDouble(valsDropped[1]);
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struct regr_avgx_data* data = (struct regr_avgx_data*)context->getUserData()->data;
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data->sum -= val;
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--data->cnt;
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return mcsv1_UDAF::SUCCESS;
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}
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