aggregate_unpivot.h

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

#include "../GenericRecord.hpp"

namespace gpudb
{
    struct AggregateUnpivotRequest
    {
        AggregateUnpivotRequest() :
            tableName(std::string()),
            columnNames(std::vector<std::string>()),
            variableColumnName(std::string()),
            valueColumnName(std::string()),
            pivotedColumns(std::vector<std::string>()),
            encoding(std::string("binary")),
            options(std::map<std::string, std::string>())
        {
        }

        AggregateUnpivotRequest(const std::string& tableName_, const std::vector<std::string>& columnNames_, const std::string& variableColumnName_, const std::string& valueColumnName_, const std::vector<std::string>& pivotedColumns_, const std::map<std::string, std::string>& options_):
            tableName( tableName_ ),
            columnNames( columnNames_ ),
            variableColumnName( variableColumnName_ ),
            valueColumnName( valueColumnName_ ),
            pivotedColumns( pivotedColumns_ ),
            encoding( "binary" ),
            options( options_ )
        {
        }

        AggregateUnpivotRequest(const std::string& tableName_, const std::vector<std::string>& columnNames_, const std::string& variableColumnName_, const std::string& valueColumnName_, const std::vector<std::string>& pivotedColumns_, const std::string& encoding_, const std::map<std::string, std::string>& options_):
            tableName( tableName_ ),
            columnNames( columnNames_ ),
            variableColumnName( variableColumnName_ ),
            valueColumnName( valueColumnName_ ),
            pivotedColumns( pivotedColumns_ ),
            encoding( encoding_ ),
            options( options_ )
        {
        }

        std::string tableName;

        std::vector<std::string> columnNames;

        std::string variableColumnName;

        std::string valueColumnName;

        std::vector<std::string> pivotedColumns;

        std::string encoding;

        std::map<std::string, std::string> options;
    };
} // end namespace gpudb

namespace avro
{
    template<> struct codec_traits<gpudb::AggregateUnpivotRequest>
    {
        static void encode(Encoder& e, const gpudb::AggregateUnpivotRequest& v)
        {
            ::avro::encode(e, v.tableName);
            ::avro::encode(e, v.columnNames);
            ::avro::encode(e, v.variableColumnName);
            ::avro::encode(e, v.valueColumnName);
            ::avro::encode(e, v.pivotedColumns);
            ::avro::encode(e, v.encoding);
            ::avro::encode(e, v.options);
        }

        static void decode(Decoder& d, gpudb::AggregateUnpivotRequest& 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.columnNames);
                            break;

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

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

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

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

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

                        default:
                            break;
                    }
                }
            }
            else
            {
                ::avro::decode(d, v.tableName);
                ::avro::decode(d, v.columnNames);
                ::avro::decode(d, v.variableColumnName);
                ::avro::decode(d, v.valueColumnName);
                ::avro::decode(d, v.pivotedColumns);
                ::avro::decode(d, v.encoding);
                ::avro::decode(d, v.options);
            }
        }
    };
} // end namespace avro

namespace gpudb
{
    struct RawAggregateUnpivotResponse
    {
        RawAggregateUnpivotResponse() :
            tableName(std::string()),
            responseSchemaStr(std::string()),
            binaryEncodedResponse(std::vector<uint8_t>()),
            jsonEncodedResponse(std::string()),
            totalNumberOfRecords(int64_t()),
            hasMoreRecords(bool()),
            info(std::map<std::string, std::string>())
        {
        }

        std::string tableName;

        std::string responseSchemaStr;

        std::vector<uint8_t> binaryEncodedResponse;

        std::string jsonEncodedResponse;

        int64_t totalNumberOfRecords;

        bool hasMoreRecords;

        std::map<std::string, std::string> info;
    };
} // end namespace gpudb

namespace avro
{
    template<> struct codec_traits<gpudb::RawAggregateUnpivotResponse>
    {
        static void encode(Encoder& e, const gpudb::RawAggregateUnpivotResponse& v)
        {
            ::avro::encode(e, v.tableName);
            ::avro::encode(e, v.responseSchemaStr);
            ::avro::encode(e, v.binaryEncodedResponse);
            ::avro::encode(e, v.jsonEncodedResponse);
            ::avro::encode(e, v.totalNumberOfRecords);
            ::avro::encode(e, v.hasMoreRecords);
            ::avro::encode(e, v.info);
        }

        static void decode(Decoder& d, gpudb::RawAggregateUnpivotResponse& 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.responseSchemaStr);
                            break;

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

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

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

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

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

                        default:
                            break;
                    }
                }
            }
            else
            {
                ::avro::decode(d, v.tableName);
                ::avro::decode(d, v.responseSchemaStr);
                ::avro::decode(d, v.binaryEncodedResponse);
                ::avro::decode(d, v.jsonEncodedResponse);
                ::avro::decode(d, v.totalNumberOfRecords);
                ::avro::decode(d, v.hasMoreRecords);
                ::avro::decode(d, v.info);
            }
        }
    };
} // end namespace avro

namespace gpudb
{
    struct AggregateUnpivotResponse
    {
        AggregateUnpivotResponse() :
            tableName(std::string()),
            responseSchemaStr(std::string()),
            data(std::vector<gpudb::GenericRecord>()),
            totalNumberOfRecords(int64_t()),
            hasMoreRecords(bool()),
            info(std::map<std::string, std::string>()),
            dataTypePtr((gpudb::Type*)NULL)
        {
        }

        std::string tableName;

        std::string responseSchemaStr;

        std::vector<gpudb::GenericRecord> data;

        int64_t totalNumberOfRecords;

        bool hasMoreRecords;

        std::map<std::string, std::string> info;

        gpudb_type_ptr_t dataTypePtr;
    };
} // end namespace gpudb

#endif // __AGGREGATE_UNPIVOT_H__