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Copyright (C) 2024 Braden Ganetsky
Copyright (C) 2024 版权所有 © 2024 布雷登·加涅茨基 (Braden Ganetsky)
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Copyright (C) 2022-2023 Peter Dimov
Copyright (C)版权所有 © 2022-2023 彼得·迪莫夫 (Peter Dimov)
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Copyright (C) 2022-2025 Joaquín M López Muñoz
Copyright (C) 2022-2025 Joaquín M López Muñ版权所有 © 2022-2025 华金·M·洛佩斯·穆尼奥斯(Joaquín M López Muñoz)
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Copyright (C) 2022-2025 Christian Mazakas
Copyright (C) 2022-2025 版权所有 © 2022-2025 克里斯蒂安·马扎卡斯 (Christian Mazakas)
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Copyright (C) 2005-2008 Daniel James
Copyright (C)版权所有 © 2005-2008 丹尼尔·詹姆斯(Daniel James)
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Copyright (C) 2003, 2004 Jeremy B. Maitin-Shepard
Copyright (C) 2003, 2004 版权所有 © 2003, 2004 杰里米·B·梅廷-谢泼德 (Jeremy B. Maitin-Shepard)
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*Daniel James*
*丹尼尔·詹姆斯 (Daniel James)*
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:idprefix: copyright_
:idprefix: copyright_
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= Copyright and License
= Copyright and License版权与许可协议
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This interoperability comes handy in multistage scenarios where parts of the data processing happen in parallel whereas other steps are non-concurrent (or non-modifying). In the following example, we want to construct a histogram from a huge input vector of words: the population phase can be done in parallel with `boost::concurrent_flat_map` and results then transferred to the final container.
This interoperability comes handy in multistage scenarios where parts of the data processing happen in parallel whereas other steps are non-concurrent (or non-modifying). In the following example, we want to construct a histogram from a huge input vector of words: the population phase can be done in parallel with `boost::concurrent_flat_map` and results then transferred to the final container.此互操作性适用于多阶段场景：部分数据处理环节需要并行执行，而其他步骤采用非并发（或只读）模式。下例中，我们需要从一个庞大的单词输入向量构建词频统计直方图：填充阶段用 `boost::concurrent++_++flat++_++map` 并行执行，随后将结果转移至最终容器。
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^|`boost::concurrent_flat_map` ^|`boost::unordered_flat_map`
^|`boost::concurrent_flat_mapset` ^|`boost::unordered_flat_mapset`
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^|`boost::concurrent_flat_set` ^|`boost::unordered_flat_set`
^|`boost::concurrent_flat_set` ^|`boost::unordered_flat_set`
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^|`boost::concurrent_node_map` ^|`boost::unordered_node_map`
^|`boost::concurrent_node_map` ^|`boost::unordered_node_map`
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^|`boost::concurrent_node_set` ^|`boost::unordered_node_set`
^|`boost::concurrent_node_set` ^|`boost::unordered_node_set`
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As open-addressing and concurrent containers are based on the same internal data structure, they can be efficiently move-constructed from their non-concurrent counterpart, and vice versa.
As open-addressing and concurrent containers are based on the same internal data structure, they can be efficiently move-constructed from their non-concurrent counterpart, and vice versa.由于开放寻址容器与并发容器基于相同的内部数据结构，它们可以高效地通过移动构造从其非并发对应容器转换而来，反之亦然。
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Interoperability with non-concurrent containers
Interoperability with non-concurrent containers与非并发容器的互操作性
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Another blocking operation is _rehashing_, which happens explicitly via `rehash`/`reserve` or during insertion when the table's load hits `max_load()`. As with non-concurrent containers, reserving space in advance of bulk insertions will generally speed up the process.
Another blocking operation is _rehashing_, which happens explicitly via另一阻塞操作是__重哈希__，该操作可通过 `rehash`/ / `reserve` or during insertion when the table's load hits `max_load()`. As with non-concurrent containers, reserving space in advance of bulk insertions will generally speed up the process.显式触发，或在插入过程中当容器负载达到 `max++_++load()` 时自动执行。与非并发容器类似，在批量插入前预先分配空间通常能加速处理过程。
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Concurrent containers can be copied, assigned, cleared and merged just like any other Boost.Unordered container. Unlike most other operations, these are _blocking_, that is, all other threads are prevented from accesing the tables involved while a copy, assignment, clear or merge operation is in progress. Blocking is taken care of automatically by the library and the user need not take any special precaution, but overall performance may be affected.
Concurrent containers can be copied, assigned, cleared and merged just like any other Boost.Unordered container. Unlike most other operations, these are _blocking_, that is, all other threads are prevented from accesing the tables involved while a copy, assignment, clear or merge operation is in progress. Blocking is taken care of automatically by the library and the user need not take any special precaution, but overall performance may be affected.并发容器可像其他 Boost.Unordered 容器一样支持复制、赋值、清空和合并操作。与大多数其他操作不同，这些属于__阻塞式操作__：在执行期间，其他线程将被阻止访问相关容器。该阻塞机制由库自动处理，用户无需采取特殊预防措施，但整体性能可能受到影响。
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Blocking Operations
Blocking Operations阻塞式操作
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