/* Copyright (C) 2017 MariaDB Corporaton This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; version 2 of the License. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. */ #include #include #include #include "avgx.h" #include "bytestream.h" #include "objectreader.h" using namespace mcsv1sdk; #define DATATYPE double // Use the simple data model struct avgx_data { double sum; uint64_t cnt; }; mcsv1_UDAF::ReturnCode avgx::init(mcsv1Context* context, ColumnDatum* colTypes) { if (context->getParameterCount() != 1) { // The error message will be prepended with // "The storage engine for the table doesn't support " context->setErrorMessage("avgx() with other than 1 arguments"); return mcsv1_UDAF::ERROR; } if (!(isNumeric(colTypes[0].dataType))) { // The error message will be prepended with // "The storage engine for the table doesn't support " context->setErrorMessage("avgx() with a non-numeric x argument"); return mcsv1_UDAF::ERROR; } context->setUserDataSize(sizeof(avgx_data)); context->setResultType(CalpontSystemCatalog::DOUBLE); context->setColWidth(8); context->setScale(colTypes[0].scale + 4); context->setPrecision(19); context->setRunFlag(mcsv1sdk::UDAF_IGNORE_NULLS); return mcsv1_UDAF::SUCCESS; } mcsv1_UDAF::ReturnCode avgx::reset(mcsv1Context* context) { struct avgx_data* data = (struct avgx_data*)context->getUserData()->data; data->sum = 0; data->cnt = 0; return mcsv1_UDAF::SUCCESS; } mcsv1_UDAF::ReturnCode avgx::nextValue(mcsv1Context* context, ColumnDatum* valsIn) { static_any::any& valIn_x = valsIn[0].columnData; struct avgx_data* data = (struct avgx_data*)context->getUserData()->data; DATATYPE val = 0.0; if (valIn_x.empty()) { return mcsv1_UDAF::SUCCESS; // Ought not happen when UDAF_IGNORE_NULLS is on. } if (valIn_x.compatible(longTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(charTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(scharTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(shortTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(intTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(longTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(llTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(ucharTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(ushortTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(uintTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(ulongTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(ullTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(floatTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(doubleTypeId)) { val = valIn_x.cast(); } // For decimal types, we need to move the decimal point. uint32_t scale = valsIn[0].scale; if (val != 0 && scale > 0) { val /= pow(10.0, (double)scale); } data->sum += val; ++data->cnt; return mcsv1_UDAF::SUCCESS; } mcsv1_UDAF::ReturnCode avgx::subEvaluate(mcsv1Context* context, const UserData* userDataIn) { if (!userDataIn) { return mcsv1_UDAF::SUCCESS; } struct avgx_data* outData = (struct avgx_data*)context->getUserData()->data; struct avgx_data* inData = (struct avgx_data*)userDataIn->data; outData->sum += inData->sum; outData->cnt += inData->cnt; return mcsv1_UDAF::SUCCESS; } mcsv1_UDAF::ReturnCode avgx::evaluate(mcsv1Context* context, static_any::any& valOut) { struct avgx_data* data = (struct avgx_data*)context->getUserData()->data; valOut = data->sum / (double)data->cnt; return mcsv1_UDAF::SUCCESS; } mcsv1_UDAF::ReturnCode avgx::dropValue(mcsv1Context* context, ColumnDatum* valsDropped) { static_any::any& valIn_x = valsDropped[0].columnData; struct avgx_data* data = (struct avgx_data*)context->getUserData()->data; DATATYPE val = 0.0; if (valIn_x.empty()) { return mcsv1_UDAF::SUCCESS; // Ought not happen when UDAF_IGNORE_NULLS is on. } if (valIn_x.compatible(charTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(scharTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(shortTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(intTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(longTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(llTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(ucharTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(ushortTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(uintTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(ulongTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(ullTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(floatTypeId)) { val = valIn_x.cast(); } else if (valIn_x.compatible(doubleTypeId)) { val = valIn_x.cast(); } // For decimal types, we need to move the decimal point. uint32_t scale = valsDropped[0].scale; if (val != 0 && scale > 0) { val /= pow(10.0, (double)scale); } data->sum -= val; --data->cnt; return mcsv1_UDAF::SUCCESS; }