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e19a7f908e
Profiling alternator implied that JSON parsing takes up a fair amount of CPU, and as such should be optimized. libjsoncpp is a standard library for handling JSON objects, but it also proves slower than rapidjson, which is hereby used instead. The results indicated that libjsoncpp used roughly 30% of CPU for a single-shard alternator instance under stress, while rapidjson dropped that usage to 18% without optimizations. Future optimizations should include eliding object copying, string copying and perhaps experimenting with different JSON allocators.
50 lines
1.1 KiB
C++
50 lines
1.1 KiB
C++
/*
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* Copyright 2019 ScyllaDB
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*/
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/*
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* This file is part of Scylla.
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*
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* See the LICENSE.PROPRIETARY file in the top-level directory for licensing information.
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*/
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#pragma once
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#include <string>
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#include "types.hh"
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#include "schema.hh"
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#include "keys.hh"
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#include "rjson.hh"
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namespace alternator {
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enum class alternator_type : int8_t {
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S, B, BOOL, N, NOT_SUPPORTED_YET
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};
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struct type_info {
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alternator_type atype;
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data_type dtype;
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};
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struct type_representation {
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std::string ident;
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data_type dtype;
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};
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type_info type_info_from_string(std::string type);
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type_representation represent_type(alternator_type atype);
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bytes serialize_item(const rjson::value& item);
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rjson::value deserialize_item(bytes_view bv);
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std::string type_to_string(data_type type);
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bytes get_key_column_value(const rjson::value& item, const column_definition& column);
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rjson::value json_key_column_value(bytes_view cell, const column_definition& column);
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partition_key pk_from_json(const rjson::value& item, schema_ptr schema);
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clustering_key ck_from_json(const rjson::value& item, schema_ptr schema);
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}
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