Boost Json Translation (zh_Hans)/Doc / Pages / Benchmarks (adoc) — Chinese (Simplified Han script) @ Boost-Weblate: The input files are all loaded first. Then each configuration …

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Key	English	Chinese (Simplified Han script)
	Parses the input using a <<ref_monotonic_resource>>,	使用 <> 对输入进行解析，
	which is optimized for parsing without subsequent modification. The <<ref_stream_parser>> object is reused between trials, allowing temporary memory allocated by the implementation to persist and improve performance.	该资源针对解析后不进行后续修改的场景进行了优化。<<ref_stream_parser>> 对象在各次试验之间被复用，使得实现所分配的临时内存得以保留，从而提升性能。</ref_stream_parser>
	boost	boost
	Parses the input using the <<default_memory_resource, default memory	使用 <> 对输入进行解析，
	resource>>, which uses the standard C++ allocator, and is designed for general use including mutation of the document after it is parsed. The <<ref_stream_parser>> object is reused between trials, allowing temporary memory allocated by the implementation to persist and improve performance.	resource>>, which uses the standard C++ allocator, and is designed for general use including mutation of the document after it is parsed. The <<ref_stream_parser>> object is reused between trials, allowing temporary memory allocated by the implementation to persist and improve performance.</ref_stream_parser>
	rapidjson(pool)	rapidjson(pool)
:39	Parses the input using an instance of	对输入进行解析，该解析式通过使用
	https://rapidjson.org/classrapidjson_1_1_memory_pool_allocator.html[`MemoryPoolAllocator`], which is optimized for parsing without subsequent modification. The https://rapidjson.org/classrapidjson_1_1_generic_document.html[`Document`] object holding temporary memory is not reused between trials, otherwise memory consumption grows without bounds and invalidates the benchmark.	https://rapidjson.org/classrapidjson_1_1_memory_pool_allocator.html[`MemoryPoolAllocator`] 的实例实现的，该分配器针对“仅解析、不修改”的场景进行了优化。持有临时内存的 https://rapidjson.org/classrapidjson_1_1_generic_document.html[`Document`] 对象在多次测试之间不重复使用，否则内存消耗将无限增长，从而导致基准测试结果无效。
	rapidjson	rapidjson
:47	Parses the input using an instance of	对输入进行解析，该解析是通过使用
	https://rapidjson.org/classrapidjson_1_1_crt_allocator.html[`CrtAllocator`], which uses the standard C++ allocator, and is designed for general use including mutation of the document after it is parsed. The https://rapidjson.org/classrapidjson_1_1_generic_document.html[`Document`] object holding temporary memory is not reused between trials, otherwise memory consumption grows without bounds and invalidates the benchmark.	使用 https://rapidjson.org/classrapidjson_1_1_crt_allocator.html[`CrtAllocator`] 的实例来实现的，该分配器使用标准 C++ 分配器，适用于通用场景，包括解析后对文档的修改。持有临时内存的 https://rapidjson.org/classrapidjson_1_1_generic_document.html[`Document`] 对象在多次测试之间不重复使用，否则内存消耗将无限增长，导致基准测试结果无效。
	nlohmann	nlohmann
	Parses the input using the static member function	对输入进行解析，该解析式通过使用静态成员函数
	https://nlohmann.github.io/json/classnlohmann_1_1basic__json_ab330c13ba254ea41fbc1c52c5c610f45.html[`json::parse`], which uses the default `std` allocator, and is designed for general use including mutation of the document after it is parsed. This library does not provide an interface to reuse temporary storage used during parsing or serialization on subsequent operations. \|===	https://nlohmann.github.io/json/classnlohmann_1_1basic__json_ab330c13ba254ea41fbc1c52c5c610f45.html[`json::parse`] 来实现的，该函数使用默认的 `std` 分配器，适用于通用场景，包括解析后对文档的修改。该库未提供复用解析或序列化过程中所用临时存储的接口，因此无法在后续操作中重用这些临时内存。
	Methodology	方法论
	The input files are all loaded first. Then each configuration is run for a sufficient number of trials to last at least 5 seconds. The elapsed time, number of invocations (of parse or serialize), and bytes transferred are emitted as a sample along with a calculation of throughput expressed in megabytes per second. Several samples (currently five) are generated for each configuration. All but the median two samples are discarded, with the remaining samples averaged to produce a single number which is reported as the benchmark result.	首先加载所有输入文件。随后，每种配置会运行足够多的试验次数，以确保总运行时间不少于 5 秒。每次试验会记录所用时间、调用次数（解析或序列化）以及传输的字节数，并以此生成一个样本，同时计算出以 MB/s（兆字节每秒）为单位的吞吐量。每种配置会生成多个样本（目前为五个），剔除其中非中间两个的样本后，对剩余的两个样本取平均值，作为该配置的最终基准测试结果。
	The input files, available in the bench/data directory, are laid out thusly:	输入文件位于 bench/data 目录，按如下方式布局：
:78	Name	125KB
	Size	Size
:78	Description	描述
	<<parse_apache_builds_json,apache_builds.json>>	<<parse_apache_builds_json,apache_builds.json>></parse_apache_builds_json,apache_builds.json>
	125KB	125KB
	Data from the Apache Jenkins installation.	来自 Apache Jenkins 安装的数据。
	<<parse_canada_json,canada.json>>	<<parse_canada_json,canada.json>></parse_canada_json,canada.json>
	2.2MB	2.2MB
	The largest file, containing a large number of 2-element arrays holding	最大的文件，包含大量二元数组。
	floating-point coordinate pairs.	（该二元数组是由）浮点坐标对（组成的）
	<<parse_citm_catalog_json,citm_catalog.json>>	<<parse_citm_catalog_json,citm_catalog.json>></parse_citm_catalog_json,citm_catalog.json>
	1.69MB	1.69MB
	A large JSON with a variety of nesting, types, and lengths.	一个包含多种嵌套结构、数据类型和长度的大型 JSON。
	<<parse_github_events_json,github_events.json>>	<<parse_github_events_json,github_events.json>></parse_github_events_json,github_events.json>

Key	English	Chinese (Simplified Han script)
	The largest file, containing a large number of 2-element arrays holding	最大的文件，包含大量二元数组。
	The input files, available in the bench/data directory, are laid out thusly:	输入文件位于 bench/data 目录，按如下方式布局：
	Size	Size
	<<parse_apache_builds_json,apache_builds.json>>	<<parse_apache_builds_json,apache_builds.json>></parse_apache_builds_json,apache_builds.json>
	125KB	125KB
	Data from the Apache Jenkins installation.	来自 Apache Jenkins 安装的数据。
	<<parse_canada_json,canada.json>>	<<parse_canada_json,canada.json>></parse_canada_json,canada.json>
	resource>>, which uses the standard C++ allocator, and is designed for general use including mutation of the document after it is parsed. The <<ref_stream_parser>> object is reused between trials, allowing temporary memory allocated by the implementation to persist and improve performance.	resource>>, which uses the standard C++ allocator, and is designed for general use including mutation of the document after it is parsed. The <<ref_stream_parser>> object is reused between trials, allowing temporary memory allocated by the implementation to persist and improve performance.</ref_stream_parser>
	Parse instruments.json	解析 instruments.json
	Parse marine_ik.json	解析 marine_ik.json
	Serialize random.json	序列化 random.json
	= Benchmarks This section compares the performance of Boost.JSON with two widely used libraries with similar functionality: RapidJSON which is known for its performance, and JSON for Modern C++ which is known for feature-richness. The bench program measures the throughput of parsing and serialization for the a set of JSON representing typical workloads. These implementations are evaluated:	= 基准测试本节将 Boost.JSON 与两个广泛使用的具有类似功能的库进行性能比较：以高性能著称的 RapidJSON 和以功能丰富著称的JSON for Modern C++ 库（nlohmann/json）。bench 程序测量解析和序列化一组代表典型工作负载的 JSON 的吞吐量。评估的实现包括：
	Parses the input using a <<ref_monotonic_resource>>,	使用 <> 对输入进行解析，
	which is optimized for parsing without subsequent modification. The <<ref_stream_parser>> object is reused between trials, allowing temporary memory allocated by the implementation to persist and improve performance.	该资源针对解析后不进行后续修改的场景进行了优化。<<ref_stream_parser>> 对象在各次试验之间被复用，使得实现所分配的临时内存得以保留，从而提升性能。</ref_stream_parser>
	boost	boost
	Parses the input using the <<default_memory_resource, default memory	使用 <> 对输入进行解析，
	rapidjson	rapidjson
	https://rapidjson.org/classrapidjson_1_1_memory_pool_allocator.html[`MemoryPoolAllocator`], which is optimized for parsing without subsequent modification. The https://rapidjson.org/classrapidjson_1_1_generic_document.html[`Document`] object holding temporary memory is not reused between trials, otherwise memory consumption grows without bounds and invalidates the benchmark.	https://rapidjson.org/classrapidjson_1_1_memory_pool_allocator.html[`MemoryPoolAllocator`] 的实例实现的，该分配器针对“仅解析、不修改”的场景进行了优化。持有临时内存的 https://rapidjson.org/classrapidjson_1_1_generic_document.html[`Document`] 对象在多次测试之间不重复使用，否则内存消耗将无限增长，从而导致基准测试结果无效。
	https://rapidjson.org/classrapidjson_1_1_crt_allocator.html[`CrtAllocator`], which uses the standard C++ allocator, and is designed for general use including mutation of the document after it is parsed. The https://rapidjson.org/classrapidjson_1_1_generic_document.html[`Document`] object holding temporary memory is not reused between trials, otherwise memory consumption grows without bounds and invalidates the benchmark.	使用 https://rapidjson.org/classrapidjson_1_1_crt_allocator.html[`CrtAllocator`] 的实例来实现的，该分配器使用标准 C++ 分配器，适用于通用场景，包括解析后对文档的修改。持有临时内存的 https://rapidjson.org/classrapidjson_1_1_generic_document.html[`Document`] 对象在多次测试之间不重复使用，否则内存消耗将无限增长，导致基准测试结果无效。
	nlohmann	nlohmann
	Parses the input using the static member function	对输入进行解析，该解析式通过使用静态成员函数
	https://nlohmann.github.io/json/classnlohmann_1_1basic__json_ab330c13ba254ea41fbc1c52c5c610f45.html[`json::parse`], which uses the default `std` allocator, and is designed for general use including mutation of the document after it is parsed. This library does not provide an interface to reuse temporary storage used during parsing or serialization on subsequent operations. \|===	https://nlohmann.github.io/json/classnlohmann_1_1basic__json_ab330c13ba254ea41fbc1c52c5c610f45.html[`json::parse`] 来实现的，该函数使用默认的 `std` 分配器，适用于通用场景，包括解析后对文档的修改。该库未提供复用解析或序列化过程中所用临时存储的接口，因此无法在后续操作中重用这些临时内存。
	The input files are all loaded first. Then each configuration is run for a sufficient number of trials to last at least 5 seconds. The elapsed time, number of invocations (of parse or serialize), and bytes transferred are emitted as a sample along with a calculation of throughput expressed in megabytes per second. Several samples (currently five) are generated for each configuration. All but the median two samples are discarded, with the remaining samples averaged to produce a single number which is reported as the benchmark result.	首先加载所有输入文件。随后，每种配置会运行足够多的试验次数，以确保总运行时间不少于 5 秒。每次试验会记录所用时间、调用次数（解析或序列化）以及传输的字节数，并以此生成一个样本，同时计算出以 MB/s（兆字节每秒）为单位的吞吐量。每种配置会生成多个样本（目前为五个），剔除其中非中间两个的样本后，对剩余的两个样本取平均值，作为该配置的最终基准测试结果。
:135	An export of data from Twitter's API.	一份来自 Twitter API 的数据导出。
:21	Name	使用 <> 解析输入，该资源针对解析后不进行后续修改的场景进行了优化。<> 对象在各次试验之间被复用，使得实现所分配的临时内存得以保留，从而提升性能。
:21	Description	描述
:39	Parses the input using an instance of	对输入进行解析，该解析式通过使用
:47	Parses the input using an instance of	对输入进行解析，该解析是通过使用
:78	Description	描述
:78	Name	125KB

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Chinese (Simplified Han script) 533 characters editedCurrent translationState: Translated

The input files are all loaded first. Then each configuration is run for a sufficient number of trials to last at least 5 seconds. The elapsed time, number of invocations (of parse or serialize), and bytes transferred are emitted as a sample along with a calculation of throughput expressed in megabytes per second. Several samples (currently five) are generated for each configuration. All but the median two samples are discarded, with the remaining samples averaged to produce a single number which is reported as the benchmark result.首先加载所有输入文件。随后，每种配置会运行足够多的试验次数，以确保总运行时间不少于 5 秒。每次试验会记录所用时间、调用次数（解析或序列化）以及传输的字节数，并以此生成一个样本，同时计算出以 MB/s（兆字节每秒）为单位的吞吐量。每种配置会生成多个样本（目前为五个），剔除其中非中间两个的样本后，对剩余的两个样本取平均值，作为该配置的最终基准测试结果。

06/05/2026

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Chinese (Simplified Han script) 538 characters editedPrevious translationState: Needs editing (Needs rewriting)

06/05/2026

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:66

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doc/pages/benchmarks_zh_Hans.adoc, string 20

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