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			8.9 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			269 lines
		
	
	
		
			8.9 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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/***********************************************************************
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 *   $Id$
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 *
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 *   avg_mode.h
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 ***********************************************************************/
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/**
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 * Columnstore interface for writing a User Defined Aggregate
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 * Functions (UDAF) and User Defined Analytic Functions (UDAnF)
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 * or a function that can act as either - UDA(n)F
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 *
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 * The basic steps are:
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 *
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 * 1. Create a the UDA(n)F function interface in some .h file.
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 * 2. Create the UDF function implementation in some .cpp file
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 * 3. Create the connector stub (MariaDB UDAF definition) for
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 * this UDF function.
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 * 4. build the dynamic library using all of the source.
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 * 5  Put the library in $COLUMNSTORE_INSTALL/lib of
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 * all modules
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 * 6. restart the Columnstore system.
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 * 7. notify mysqld about the new function:
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 *
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 *    CREATE AGGREGATE FUNCTION avg_mode returns REAL soname
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 *    'libudf_mysql.so';
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 *
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 * The UDAF functions may run distributed in the Columnstore
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 * engine. UDAnF do not run distributed.
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 *
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 * UDAF is User Defined Aggregate Function.
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 * UDAnF is User Defined Analytic Function.
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 * UDA(n)F is an acronym for a function that could be either. It
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 * is also used to describe the interface that is used for
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 * either.
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 */
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#pragma once
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#include <cstdlib>
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#include <string>
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#include <vector>
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#include <unordered.h>
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#include "mcsv1_udaf.h"
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#include "calpontsystemcatalog.h"
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#include "windowfunctioncolumn.h"
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#define EXPORT
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namespace mcsv1sdk
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{
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#define DATATYPE double
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typedef std::tr1::unordered_map<DATATYPE, uint32_t> MODE_DATA;
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// Override UserData for data storage
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struct ModeData : public UserData
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{
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  ModeData() = default;
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  ~ModeData() override = default;
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  void serialize(messageqcpp::ByteStream& bs) const override;
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  void unserialize(messageqcpp::ByteStream& bs) override;
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  MODE_DATA mData;
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 private:
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  // For now, copy construction is unwanted
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  explicit ModeData(UserData&);
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};
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// Override mcsv1_UDAF to build your User Defined Aggregate (UDAF) and/or
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// User Defined Analytic Function (UDAnF).
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// These will be singleton classes, so don't put any instance
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// specific data in here. All instance data is stored in mcsv1Context
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// passed to each user function and retrieved by the getUserData() method.
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//
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// Each API function returns a ReturnCode. If ERROR is returned at any time,
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// the query is aborted, getInterrupted() will begin to return true and the
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// message set in config->setErrorMessage() is returned to MariaDB.
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// Return the avg_mode value of the dataset
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class avg_mode : public mcsv1_UDAF
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{
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 public:
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  // Defaults OK
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  avg_mode() : mcsv1_UDAF() {};
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  ~avg_mode() override = default;
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  /**
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   * init()
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   *
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   * Mandatory. Implement this to initialize flags and instance
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   * data. Called once per SQL statement. You can do any sanity
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   * checks here.
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   *
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   * colTypes (in) - A vector of ColDataType defining the
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   * parameters of the UDA(n)F call. These can be used to decide
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   * to override the default return type. If desired, the new
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   * return type can be set by context->setReturnType() and
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   * decimal scale and precision can be set by context->setScale
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   * and context->setPrecision respectively.
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   *
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   * Return mcsv1_UDAF::ERROR on any error, such as non-compatible
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   * colTypes or wrong number of arguments. Else return
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   * mcsv1_UDAF::SUCCESS.
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   */
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  ReturnCode init(mcsv1Context* context, ColumnDatum* colTypes) override;
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  /**
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   * reset()
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   *
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   * Mandatory. Reset the UDA(n)F for a new group, partition or,
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   * in some cases, new Window Frame. Do not free any memory
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   * allocated by context->setUserDataSize(). The SDK Framework owns
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   * that memory and will handle that. Use this opportunity to
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   * reset any variables in context->getUserData() needed for the
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   * next aggregation. May be called multiple times if running in
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   * a ditributed fashion.
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   *
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   * Use this opportunity to initialize the userData.
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   */
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  ReturnCode reset(mcsv1Context* context) override;
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  /**
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   * nextValue()
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   *
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   * Mandatory. Handle a single row.
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   *
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   * colsIn - A vector of data structure describing the input
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   * data.
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   *
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   * This function is called once for every row in the filtered
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   * result set (before aggregation). It is very important that
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   * this function is efficient.
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   *
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   * If the UDAF is running in a distributed fashion, nextValue
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   * cannot depend on order, as it will only be called for each
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   * row found on the specific PM.
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   *
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   * valsIn (in) - a vector of the parameters from the row.
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   */
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  ReturnCode nextValue(mcsv1Context* context, ColumnDatum* valsIn) override;
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  /**
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   * subEvaluate()
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   *
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   * Mandatory -- Called if the UDAF is running in a distributed
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   * fashion. Columnstore tries to run all aggregate functions
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   * distributed, depending on context.
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   *
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   * Perform an aggregation on rows partially aggregated by
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   * nextValue. Columnstore calls nextValue for each row on a
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   * given PM for a group (GROUP BY). subEvaluate is called on the
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   * UM to consolodate those values into a single instance of
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   * userData. Keep your aggregated totals in context's userData.
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   * The first time this is called for a group, reset() would have
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   * been called with this version of userData.
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   *
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   * Called for every partial data set in each group in GROUP BY.
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   *
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   * When subEvaluate has been called for all subAggregated data
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   * sets, Evaluate will be called with the same context as here.
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   *
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   * valIn (In) - This is a pointer to a memory block of the size
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   * set in setUserDataSize. It will contain the value of userData
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   * as seen in the last call to NextValue for a given PM.
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   *
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   */
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  ReturnCode subEvaluate(mcsv1Context* context, const UserData* valIn) override;
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  /**
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   * evaluate()
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   *
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   * Mandatory. Get the aggregated value.
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   *
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   * Called for every new group if UDAF GROUP BY, UDAnF partition
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   * or, in some cases, new Window Frame.
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   *
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   * Set the aggregated value into valOut. The datatype is assumed
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   * to be the same as that set in the init() function;
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   *
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   * If the UDAF is running in a distributed fashion, evaluate is
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   * called after a series of subEvaluate calls.
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   *
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   * valOut (out) - Set the aggregated value here. The datatype is
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   * assumed to be the same as that set in the init() function;
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   *
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   * To return a NULL value, don't assign to valOut.
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   */
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  ReturnCode evaluate(mcsv1Context* context, static_any::any& valOut) override;
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  /**
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   * dropValue()
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   *
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   * Optional -- If defined, the server will call this instead of
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   * reset for UDAnF.
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   *
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   * Don't implement if a UDAnF has one or more of the following:
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   * The UDAnF can't be used with a Window Frame
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   * The UDAnF is not reversable in some way
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   * The UDAnF is not interested in optimal performance
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   *
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   * If not implemented, reset() followed by a series of
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   * nextValue() will be called for each movement of the Window
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   * Frame.
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   *
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   * If implemented, then each movement of the Window Frame will
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   * result in dropValue() being called for each row falling out
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   * of the Frame and nextValue() being called for each new row
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   * coming into the Frame.
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   *
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   * valsDropped (in) - a vector of the parameters from the row
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   * leaving the Frame
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   *
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   * dropValue() will not be called for unbounded/current row type
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   * frames, as those are already optimized.
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   */
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  ReturnCode dropValue(mcsv1Context* context, ColumnDatum* valsDropped) override;
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  /**
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   * createUserData()
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   *
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   * Optional -- If defined, the server will call this instead of
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   * createUserData on context.
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   *
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   * Create your variable length data structure via
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   * data = new <datatype>
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   *
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   * The data structure may contain references to containers or
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   * pointers to other objects. Remember that for distributed
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   * processing, this may be called multiple times for variaous
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   * computing blocks. At the least, it will be called once per PM
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   * that processes the data, and once more for the UM. For UDAnF,
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   * it may only be called once.
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   *
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   * Set length to the length of the data structure you create.
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   *
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   * For each call to createUserData(), there will be a
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   * corresponding deleteUserData() where you must clean up. Any
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   * memory leaks are your fault.
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   *
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   */
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  ReturnCode createUserData(UserData*& data, int32_t& length) override;
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 protected:
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};
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}  // namespace mcsv1sdk
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#undef EXPORT
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