Files
scylladb/alternator/serialization.cc
Piotr Sarna e19a7f908e alternator: migrate to rapidjson library
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.
2019-08-19 15:49:52 +03:00

191 lines
7.8 KiB
C++

/*
* Copyright 2019 ScyllaDB
*/
/*
* This file is part of Scylla.
*
* See the LICENSE.PROPRIETARY file in the top-level directory for licensing information.
*/
#include "base64.hh"
#include "log.hh"
#include "serialization.hh"
#include "error.hh"
#include "rapidjson/writer.h"
static logging::logger slogger("alternator-serialization");
namespace alternator {
type_info type_info_from_string(std::string type) {
static thread_local const std::unordered_map<std::string, type_info> type_infos = {
{"S", {alternator_type::S, utf8_type}},
{"B", {alternator_type::B, bytes_type}},
{"BOOL", {alternator_type::BOOL, boolean_type}},
{"N", {alternator_type::N, decimal_type}}, //FIXME: Replace with custom Alternator type when implemented
};
auto it = type_infos.find(type);
if (it == type_infos.end()) {
return {alternator_type::NOT_SUPPORTED_YET, utf8_type};
}
return it->second;
}
type_representation represent_type(alternator_type atype) {
static thread_local const std::unordered_map<alternator_type, type_representation> type_representations = {
{alternator_type::S, {"S", utf8_type}},
{alternator_type::B, {"B", bytes_type}},
{alternator_type::BOOL, {"BOOL", boolean_type}},
{alternator_type::N, {"N", decimal_type}}, //FIXME: Replace with custom Alternator type when implemented
};
auto it = type_representations.find(atype);
if (it == type_representations.end()) {
throw std::runtime_error(format("Unknown alternator type {}", int8_t(atype)));
}
return it->second;
}
bytes serialize_item(const rjson::value& item) {
if (item.IsNull() || item.MemberCount() != 1) {
throw api_error("ValidationException", format("An item can contain only one attribute definition: {}", item));
}
auto it = item.MemberBegin();
type_info type_info = type_info_from_string(it->name.GetString()); // JSON keys are guaranteed to be strings
if (type_info.atype == alternator_type::NOT_SUPPORTED_YET) {
slogger.trace("Non-optimal serialization of type {}", it->name.GetString());
return bytes{int8_t(type_info.atype)} + to_bytes(rjson::print(item));
}
bytes serialized;
// Alternator bytes representation does not start with "0x" followed by hex digits as Scylla-JSON does,
// but instead uses base64.
if (type_info.dtype == bytes_type) {
std::string raw_value = it->value.GetString();
serialized = base64_decode(std::string_view(raw_value));
} else if (type_info.dtype == decimal_type) {
serialized = type_info.dtype->from_string(it->value.GetString());
} else if (type_info.dtype == boolean_type) {
serialized = type_info.dtype->from_json_object(Json::Value(it->value.GetBool()), cql_serialization_format::internal());
} else {
//FIXME(sarna): Once we have type visitors, this double conversion hack should be replaced with parsing straight from rapidjson
serialized = type_info.dtype->from_json_object(Json::Value(rjson::print(it->value)), cql_serialization_format::internal());
}
//NOTICE: redundant copy here, from_json_object should accept bytes' output iterator too.
// Or, we could append type info to the end, but that's unorthodox.
return bytes{int8_t(type_info.atype)} + std::move(serialized);
}
rjson::value deserialize_item(bytes_view bv) {
rjson::value deserialized(rapidjson::kObjectType);
if (bv.empty()) {
throw api_error("ValidationException", "Serialized value empty");
}
alternator_type atype = alternator_type(bv[0]);
bv.remove_prefix(1);
if (atype == alternator_type::NOT_SUPPORTED_YET) {
slogger.trace("Non-optimal deserialization of alternator type {}", int8_t(atype));
return rjson::parse_raw(reinterpret_cast<const char *>(bv.data()), bv.size());
}
type_representation type_representation = represent_type(atype);
if (type_representation.dtype == bytes_type) {
std::string b64 = base64_encode(bv);
rjson::set_with_string_name(deserialized, type_representation.ident, rjson::from_string(b64));
} else if (type_representation.dtype == decimal_type) {
auto s = decimal_type->to_json_string(bytes(bv)); //FIXME(sarna): unnecessary copy
rjson::set_with_string_name(deserialized, type_representation.ident, rjson::from_string(s));
} else {
rjson::set_with_string_name(deserialized, type_representation.ident, rjson::parse(type_representation.dtype->to_string(bytes(bv))));
}
return deserialized;
}
std::string type_to_string(data_type type) {
static thread_local std::unordered_map<data_type, std::string> types = {
{utf8_type, "S"},
{bytes_type, "B"},
{boolean_type, "BOOL"},
{decimal_type, "N"}, // FIXME: use a specialized Alternator number type instead of the general decimal_type
};
auto it = types.find(type);
if (it == types.end()) {
throw std::runtime_error(format("Unknown type {}", type->name()));
}
return it->second;
}
bytes get_key_column_value(const rjson::value& item, const column_definition& column) {
std::string column_name = column.name_as_text();
std::string expected_type = type_to_string(column.type);
const rjson::value& key_typed_value = rjson::get(item, rjson::value::StringRefType(column_name.c_str()));
if (!key_typed_value.IsObject() || key_typed_value.MemberCount() != 1) {
throw api_error("ValidationException",
format("Missing or invalid value object for key column {}: {}", column_name, item));
}
auto it = key_typed_value.MemberBegin();
if (it->name.GetString() != expected_type) {
throw api_error("ValidationException",
format("Expected type {} for key column {}, got type {}",
expected_type, column_name, it->name.GetString()));
}
if (column.type == bytes_type) {
return base64_decode(it->value.GetString());
} else {
return column.type->from_string(it->value.GetString());
}
}
rjson::value json_key_column_value(bytes_view cell, const column_definition& column) {
if (column.type == bytes_type) {
std::string b64 = base64_encode(cell);
return rjson::from_string(b64);
} if (column.type == utf8_type) {
return rjson::from_string(std::string(reinterpret_cast<const char*>(cell.data()), cell.size()));
} else if (column.type == decimal_type) {
// FIXME: use specialized Alternator number type, not the more
// general "decimal_type". A dedicated type can be more efficient
// in storage space and in parsing speed.
auto s = decimal_type->to_json_string(bytes(cell));
return rjson::from_string(s);
} else {
// We shouldn't get here, we shouldn't see such key columns.
throw std::runtime_error(format("Unexpected key type: {}", column.type->name()));
}
}
partition_key pk_from_json(const rjson::value& item, schema_ptr schema) {
std::vector<bytes> raw_pk;
// FIXME: this is a loop, but we really allow only one partition key column.
for (const column_definition& cdef : schema->partition_key_columns()) {
bytes raw_value = get_key_column_value(item, cdef);
raw_pk.push_back(std::move(raw_value));
}
return partition_key::from_exploded(raw_pk);
}
clustering_key ck_from_json(const rjson::value& item, schema_ptr schema) {
if (schema->clustering_key_size() == 0) {
return clustering_key::make_empty();
}
std::vector<bytes> raw_ck;
// FIXME: this is a loop, but we really allow only one clustering key column.
for (const column_definition& cdef : schema->clustering_key_columns()) {
bytes raw_value = get_key_column_value(item, cdef);
raw_ck.push_back(std::move(raw_value));
}
return clustering_key::from_exploded(raw_ck);
}
}