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271 lines
7.0 KiB
C++
271 lines
7.0 KiB
C++
/* 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_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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#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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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,
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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_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(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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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_avgx_data* data = (struct regr_avgx_data*)context->getUserData()->data;
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DATATYPE val = 0.0;
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if (context->isParamNull(0) || context->isParamNull(1))
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{
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return mcsv1_UDAF::SUCCESS; // Ought not happen when UDAF_IGNORE_NULLS is on.
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}
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if (valIn_x.empty() || valIn_y.empty()) // Usually empty if NULL. Probably redundant
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{
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return mcsv1_UDAF::SUCCESS; // Ought not happen when UDAF_IGNORE_NULLS is on.
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}
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if (valIn_x.compatible(longTypeId))
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{
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val = valIn_x.cast<long>();
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}
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else if (valIn_x.compatible(charTypeId))
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{
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val = valIn_x.cast<char>();
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}
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else if (valIn_x.compatible(scharTypeId))
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{
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val = valIn_x.cast<signed char>();
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}
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else if (valIn_x.compatible(shortTypeId))
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{
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val = valIn_x.cast<short>();
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}
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else if (valIn_x.compatible(intTypeId))
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{
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val = valIn_x.cast<int>();
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}
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else if (valIn_x.compatible(llTypeId))
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{
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val = valIn_x.cast<long long>();
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}
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else if (valIn_x.compatible(ucharTypeId))
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{
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val = valIn_x.cast<unsigned char>();
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}
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else if (valIn_x.compatible(ushortTypeId))
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{
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val = valIn_x.cast<unsigned short>();
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}
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else if (valIn_x.compatible(uintTypeId))
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{
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val = valIn_x.cast<unsigned int>();
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}
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else if (valIn_x.compatible(ulongTypeId))
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{
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val = valIn_x.cast<unsigned long>();
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}
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else if (valIn_x.compatible(ullTypeId))
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{
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val = valIn_x.cast<unsigned long long>();
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}
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else if (valIn_x.compatible(floatTypeId))
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{
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val = valIn_x.cast<float>();
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}
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else if (valIn_x.compatible(doubleTypeId))
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{
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val = valIn_x.cast<double>();
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}
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// For decimal types, we need to move the decimal point.
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uint32_t scale = valsIn[1].scale;
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if (val != 0 && scale > 0)
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{
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val /= pow(10.0, (double)scale);
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}
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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 = 0;
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}
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else
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{
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valOut = data->sum / (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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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_avgx_data* data = (struct regr_avgx_data*)context->getUserData()->data;
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DATATYPE val = 0.0;
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if (valIn_x.empty() || valIn_y.empty())
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{
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return mcsv1_UDAF::SUCCESS; // Ought not happen when UDAF_IGNORE_NULLS is on.
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}
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if (valIn_x.compatible(charTypeId))
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{
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val = valIn_x.cast<char>();
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}
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else if (valIn_x.compatible(scharTypeId))
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{
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val = valIn_x.cast<signed char>();
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}
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else if (valIn_x.compatible(shortTypeId))
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{
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val = valIn_x.cast<short>();
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}
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else if (valIn_x.compatible(intTypeId))
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{
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val = valIn_x.cast<int>();
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}
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else if (valIn_x.compatible(longTypeId))
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{
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val = valIn_x.cast<long>();
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}
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else if (valIn_x.compatible(llTypeId))
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{
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val = valIn_x.cast<long long>();
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}
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else if (valIn_x.compatible(ucharTypeId))
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{
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val = valIn_x.cast<unsigned char>();
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}
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else if (valIn_x.compatible(ushortTypeId))
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{
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val = valIn_x.cast<unsigned short>();
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}
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else if (valIn_x.compatible(uintTypeId))
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{
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val = valIn_x.cast<unsigned int>();
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}
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else if (valIn_x.compatible(ulongTypeId))
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{
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val = valIn_x.cast<unsigned long>();
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}
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else if (valIn_x.compatible(ullTypeId))
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{
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val = valIn_x.cast<unsigned long long>();
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}
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else if (valIn_x.compatible(floatTypeId))
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{
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val = valIn_x.cast<float>();
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}
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else if (valIn_x.compatible(doubleTypeId))
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{
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val = valIn_x.cast<double>();
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}
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// For decimal types, we need to move the decimal point.
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uint32_t scale = valsDropped[1].scale;
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if (val != 0 && scale > 0)
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{
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val /= pow(10.0, (double)scale);
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}
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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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