aggregate_statistics_by_range.h

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/*
 *  This file was autogenerated by the GPUdb schema processor.
 *
 *  DO NOT EDIT DIRECTLY.
 */
#ifndef __AGGREGATE_STATISTICS_BY_RANGE_H__
#define __AGGREGATE_STATISTICS_BY_RANGE_H__

namespace gpudb
{

    struct AggregateStatisticsByRangeRequest
    {

        AggregateStatisticsByRangeRequest() :
            tableName(std::string()),
            selectExpression(std::string()),
            columnName(std::string()),
            valueColumnName(std::string()),
            stats(std::string()),
            start(double()),
            end(double()),
            interval(double()),
            options(std::map<std::string, std::string>())
        {
        }

        AggregateStatisticsByRangeRequest(const std::string& tableName_, const std::string& selectExpression_, const std::string& columnName_, const std::string& valueColumnName_, const std::string& stats_, const double start_, const double end_, const double interval_, const std::map<std::string, std::string>& options_):
            tableName( tableName_ ),
            selectExpression( selectExpression_ ),
            columnName( columnName_ ),
            valueColumnName( valueColumnName_ ),
            stats( stats_ ),
            start( start_ ),
            end( end_ ),
            interval( interval_ ),
            options( options_ )
        {
        }

        std::string tableName;
        std::string selectExpression;
        std::string columnName;
        std::string valueColumnName;
        std::string stats;
        double start;
        double end;
        double interval;
        std::map<std::string, std::string> options;
    };
}

namespace avro
{
    template<> struct codec_traits<gpudb::AggregateStatisticsByRangeRequest>
    {
        static void encode(Encoder& e, const gpudb::AggregateStatisticsByRangeRequest& v)
        {
            ::avro::encode(e, v.tableName);
            ::avro::encode(e, v.selectExpression);
            ::avro::encode(e, v.columnName);
            ::avro::encode(e, v.valueColumnName);
            ::avro::encode(e, v.stats);
            ::avro::encode(e, v.start);
            ::avro::encode(e, v.end);
            ::avro::encode(e, v.interval);
            ::avro::encode(e, v.options);
        }

        static void decode(Decoder& d, gpudb::AggregateStatisticsByRangeRequest& v)
        {
            if (::avro::ResolvingDecoder *rd = dynamic_cast< ::avro::ResolvingDecoder*>(&d))
            {
                const std::vector<size_t> fo = rd->fieldOrder();

                for (std::vector<size_t>::const_iterator it = fo.begin(); it != fo.end(); ++it)
                {
                    switch (*it)
                    {
                        case 0:
                            ::avro::decode(d, v.tableName);
                            break;

                        case 1:
                            ::avro::decode(d, v.selectExpression);
                            break;

                        case 2:
                            ::avro::decode(d, v.columnName);
                            break;

                        case 3:
                            ::avro::decode(d, v.valueColumnName);
                            break;

                        case 4:
                            ::avro::decode(d, v.stats);
                            break;

                        case 5:
                            ::avro::decode(d, v.start);
                            break;

                        case 6:
                            ::avro::decode(d, v.end);
                            break;

                        case 7:
                            ::avro::decode(d, v.interval);
                            break;

                        case 8:
                            ::avro::decode(d, v.options);
                            break;

                        default:
                            break;
                    }
                }
            }
            else
            {
                ::avro::decode(d, v.tableName);
                ::avro::decode(d, v.selectExpression);
                ::avro::decode(d, v.columnName);
                ::avro::decode(d, v.valueColumnName);
                ::avro::decode(d, v.stats);
                ::avro::decode(d, v.start);
                ::avro::decode(d, v.end);
                ::avro::decode(d, v.interval);
                ::avro::decode(d, v.options);
            }
        }
    };
}

namespace gpudb
{

    struct AggregateStatisticsByRangeResponse
    {

        AggregateStatisticsByRangeResponse() :
            stats(std::map<std::string, std::vector<double> >())
        {
        }

        std::map<std::string, std::vector<double> > stats;
    };
}

namespace avro
{
    template<> struct codec_traits<gpudb::AggregateStatisticsByRangeResponse>
    {
        static void encode(Encoder& e, const gpudb::AggregateStatisticsByRangeResponse& v)
        {
            ::avro::encode(e, v.stats);
        }

        static void decode(Decoder& d, gpudb::AggregateStatisticsByRangeResponse& v)
        {
            if (::avro::ResolvingDecoder *rd = dynamic_cast< ::avro::ResolvingDecoder*>(&d))
            {
                const std::vector<size_t> fo = rd->fieldOrder();

                for (std::vector<size_t>::const_iterator it = fo.begin(); it != fo.end(); ++it)
                {
                    switch (*it)
                    {
                        case 0:
                            ::avro::decode(d, v.stats);
                            break;

                        default:
                            break;
                    }
                }
            }
            else
            {
                ::avro::decode(d, v.stats);
            }
        }
    };
}

#endif