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			138 lines
		
	
	
		
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			138 lines
		
	
	
		
			3.7 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| /* Copyright (C) 2017 MariaDB Corporation
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| 
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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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| 
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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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| 
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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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| 
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| #include <sstream>
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| #include <cstring>
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| #include <typeinfo>
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| #include "ssq.h"
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| #include "bytestream.h"
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| #include "objectreader.h"
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| 
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| using namespace mcsv1sdk;
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| #define DATATYPE double
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| 
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| struct ssq_data
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| {
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|   uint64_t scale;
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|   DATATYPE sumsq;
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|   ssq_data() : scale(0)
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|   {
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|   }
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| };
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| 
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| #define OUT_TYPE int64_t
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| mcsv1_UDAF::ReturnCode ssq::init(mcsv1Context* context, ColumnDatum* colTypes)
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| {
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|   if (context->getParameterCount() < 1)
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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("ssq() with 0 arguments");
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|     return mcsv1_UDAF::ERROR;
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|   }
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| 
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|   if (context->getParameterCount() > 1)
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|   {
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|     context->setErrorMessage("ssq() with more than 1 argument");
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|     return mcsv1_UDAF::ERROR;
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|   }
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| 
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|   if (!(isNumeric(colTypes[0].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("ssq() with non-numeric argument");
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|     return mcsv1_UDAF::ERROR;
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|   }
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| 
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|   context->setUserDataSize(sizeof(ssq_data));
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|   context->setResultType(execplan::CalpontSystemCatalog::DOUBLE);
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|   context->setColWidth(8);
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|   context->setScale(context->getScale() * 2);
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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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| 
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| mcsv1_UDAF::ReturnCode ssq::reset(mcsv1Context* context)
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| {
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|   struct ssq_data* data = (struct ssq_data*)context->getUserData()->data;
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| 
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|   if (data)
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|   {
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|     data->scale = 0;
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|     data->sumsq = 0;
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|   }
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| 
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|   return mcsv1_UDAF::SUCCESS;
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| }
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| 
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| mcsv1_UDAF::ReturnCode ssq::nextValue(mcsv1Context* context, ColumnDatum* valsIn)
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| {
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|   struct ssq_data* data = (struct ssq_data*)context->getUserData()->data;
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| 
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|   if (context->isParamNull(0) || valsIn[0].columnData.empty())
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|   {
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|     return mcsv1_UDAF::SUCCESS;
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|   }
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| 
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|   DATATYPE val = toDouble(valsIn[0]);
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| 
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|   data->sumsq += val * val;
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|   return mcsv1_UDAF::SUCCESS;
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| }
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| 
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| mcsv1_UDAF::ReturnCode ssq::subEvaluate(mcsv1Context* context, const UserData* userDataIn)
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| {
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|   // If we turn off UDAF_IGNORE_NULLS in init(), then NULLS may be sent here in cases of Joins.
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|   // When a NULL value is sent here, userDataIn will be NULL, so check for NULLS.
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|   if (context->isParamNull(0))
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|   {
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|     return mcsv1_UDAF::SUCCESS;
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|   }
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| 
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|   struct ssq_data* outData = (struct ssq_data*)context->getUserData()->data;
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| 
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|   struct ssq_data* inData = (struct ssq_data*)userDataIn->data;
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| 
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|   outData->sumsq += inData->sumsq;
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| 
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|   return mcsv1_UDAF::SUCCESS;
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| }
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| 
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| mcsv1_UDAF::ReturnCode ssq::evaluate(mcsv1Context* context, static_any::any& valOut)
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| {
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|   struct ssq_data* data = (struct ssq_data*)context->getUserData()->data;
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|   valOut = data->sumsq;
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|   return mcsv1_UDAF::SUCCESS;
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| }
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| 
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| mcsv1_UDAF::ReturnCode ssq::dropValue(mcsv1Context* context, ColumnDatum* valsDropped)
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| {
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|   struct ssq_data* data = (struct ssq_data*)context->getUserData()->data;
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| 
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|   if (valsDropped[0].columnData.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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| 
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|   DATATYPE val = toDouble(valsDropped[0]);
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| 
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|   data->sumsq -= val * val;
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|   return mcsv1_UDAF::SUCCESS;
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| }
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