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			223 lines
		
	
	
		
			5.4 KiB
		
	
	
	
		
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			223 lines
		
	
	
		
			5.4 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 "median.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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| 
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| mcsv1_UDAF::ReturnCode median::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("median() 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("median() 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("median() 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->setResultType(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 median::reset(mcsv1Context* context)
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| {
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|   MedianData* data = static_cast<MedianData*>(context->getUserData());
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|   data->mData.clear();
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|   return mcsv1_UDAF::SUCCESS;
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| }
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| 
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| mcsv1_UDAF::ReturnCode median::nextValue(mcsv1Context* context, ColumnDatum* valsIn)
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| {
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|   static_any::any& valIn = valsIn[0].columnData;
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|   MEDIAN_DATA& data = static_cast<MedianData*>(context->getUserData())->mData;
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| 
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|   if (valIn.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 = convertAnyTo<double>(valIn);
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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[0].scale;
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| 
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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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| 
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|   data[val]++;
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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 median::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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| 
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|   MEDIAN_DATA& outData = static_cast<MedianData*>(context->getUserData())->mData;
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|   const MEDIAN_DATA& inData = static_cast<const MedianData*>(userDataIn)->mData;
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|   MEDIAN_DATA::const_iterator iter = inData.begin();
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| 
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|   for (; iter != inData.end(); ++iter)
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|   {
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|     outData[iter->first] += iter->second;
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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 median::evaluate(mcsv1Context* context, static_any::any& valOut)
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| {
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|   uint64_t cnt1 = 0, cnt2 = 0;
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|   MEDIAN_DATA& data = static_cast<MedianData*>(context->getUserData())->mData;
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| 
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|   if (data.size() == 0)
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|   {
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|     valOut = (DATATYPE)0;
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|     return mcsv1_UDAF::SUCCESS;
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|   }
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| 
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|   MEDIAN_DATA::iterator iter(data.begin());
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|   MEDIAN_DATA::iterator revfrom(data.end());
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|   MEDIAN_DATA::reverse_iterator riter(revfrom);
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|   cnt1 += iter->second;
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|   cnt2 += riter->second;
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| 
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|   while (iter->first < riter->first)
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|   {
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|     while (cnt1 < cnt2 && iter->first < riter->first)
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|     {
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|       ++iter;
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|       cnt1 += iter->second;
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|     }
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| 
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|     while (cnt2 < cnt1 && iter->first < riter->first)
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|     {
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|       ++riter;
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|       cnt2 += riter->second;
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|     }
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| 
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|     while (cnt1 == cnt2 && iter->first < riter->first)
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|     {
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|       ++iter;
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|       cnt1 += iter->second;
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| 
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|       if (iter->first > riter->first)
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|       {
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|         break;
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|       }
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| 
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|       ++riter;
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|       cnt2 += riter->second;
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|     }
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|   }
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| 
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|   valOut = (iter->first + riter->first) / 2;
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|   return mcsv1_UDAF::SUCCESS;
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| }
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| 
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| mcsv1_UDAF::ReturnCode median::dropValue(mcsv1Context* context, ColumnDatum* valsDropped)
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| {
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|   static_any::any& valIn = valsDropped[0].columnData;
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|   MEDIAN_DATA& data = static_cast<MedianData*>(context->getUserData())->mData;
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| 
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|   if (valIn.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 = convertAnyTo<double>(valIn);
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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[0].scale;
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| 
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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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| 
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|   data[val]--;
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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 median::createUserData(UserData*& userData, int32_t& length)
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| {
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|   userData = new MedianData;
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|   length = sizeof(MedianData);
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|   return mcsv1_UDAF::SUCCESS;
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| }
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| 
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| void MedianData::serialize(messageqcpp::ByteStream& bs) const
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| {
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|   MEDIAN_DATA::const_iterator iter = mData.begin();
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|   DATATYPE num;
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|   uint32_t cnt;
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|   bs << (int32_t)mData.size();
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| 
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|   for (; iter != mData.end(); ++iter)
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|   {
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|     num = iter->first;
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|     bs << num;
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|     cnt = iter->second;
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|     bs << cnt;
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|   }
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| }
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| 
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| void MedianData::unserialize(messageqcpp::ByteStream& bs)
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| {
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|   mData.clear();
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|   int32_t sz;
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|   DATATYPE num;
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|   uint32_t cnt;
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|   bs >> sz;
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| 
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|   for (int i = 0; i < sz; ++i)
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|   {
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|     bs >> num;
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|     bs >> cnt;
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|     mData[num] = cnt;
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|   }
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| }
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