• Non-reentrant functions cannot be used by multiple threads.

    不可重入的函数不能由多个线程使用。

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  • In multithreaded enviornments multiple threads access the same heap.

    在多线程环境中,多个线程访问同一个堆。

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  • Doing so allows for multiple threads to search the list concurrently.

    这么做就允许多个线程同时搜索链表。

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  • But what happens if multiple threads intend to append data to the queue?

    但是,如果多个线程都试图把数据添加到队列中,会发生什么?

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  • Instances of this timer class can be safely accessed from multiple threads.

    该定时器类的实例能够被多个线程安全地访问。

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  • For better throughput, clients can submit redaction requests from multiple threads.

    要实现更高的吞吐量,客户端可从多个线程提交编校请求。

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  • If this processing occurs in multiple threads, you can start to have serious problems.

    如果该处理出现在多个线程中,就可能发生严重问题。

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  • When the files are closed, you make room for storage to be allocated for multiple threads.

    在关闭文件后,您可以为将要分配给多个线程的存储腾出空间。

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  • A lock-bound application is one in which multiple threads are fighting over the same locks.

    在一个锁关键型应用程序中,多个线程在相同的锁上争用。

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  • Thread pools are far from the only way to use multiple threads within a server application.

    线程池远不是服务器应用程序内使用多线程的唯一方法。

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  • The job dispatcher spawns multiple threads, each containing the code for a different subtask.

    作业调度器生成多个线程,每个线程包含执行不同子任务的代码。

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  • Your code must create multiple threads (or processes, if you really prefer) to run multiple SPEs.

    代码必须创建多个线程(或进程,如果您喜欢这样叫)来运行多个SPE。

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  • This really brings me to the more general use case for multiple threads: long running operations.

    这也让我想起了多线程的一个更常用的用例:长时间运行的操作。

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  • If a variable is declared as volatile, it means that it is expected to be modified by multiple threads.

    如果一个变量被声明为volatile,这意味着它预计会由多个线程修改。

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  • The challenge is that you need to coordinate multiple methods in multiple classes across multiple threads.

    挑战在于,您需要跨多个线程协调多个类中的多个方法。

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  • The role of the join action is to synchronize multiple threads of parallel execution started by fork actions.

    join动作的功能是要同步fork动作启动的多个并行执行的线程。

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  • This provides concurrent access by multiple threads to the human tasks in the database as shown in Figure 2.

    这提供了多线程并发访问数据库中的人工任务,如图2所示。

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  • To exploit the power of multiprocessor systems, applications are generally structured using multiple threads.

    要使用多处理器系统的功能,通常需要使用多线程构造应用程序。

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  • You will get better performance if you can use multiple threads at a time for injecting (or receiving) messages.

    如果可以同时使用多个线程来注入(或接收)消息,您将获得更好的性能。

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  • When multiple threads ask for the same lock at the same time, one wins and acquires the lock, and the others block.

    在多个线程同时请求同一个锁时,会有一个线程获胜并得到锁,而其他线程被阻塞。

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  • Specifically, thread safety is about properly coordinating access to mutable data that is accessed by multiple threads.

    具体来说,线程安全是指适当地协调对被多个线程访问的可变数据的访问。

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  • In the example scenario, a client application running multiple threads calls an EJB component, log1Bean, from each thread.

    在这个例子场景中,一个多线程的客户机应用程序从每个线程调用一个EJB组件log1Bean。

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  • The engine provides transactions and crash recovery, and allows multiple connections and multiple threads to use a connection.

    该引擎提供了事务和崩溃恢复,支持多个连接,而且支持使用一个连接的多个线程。

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  • Developers must be aware that Struts will create a single instance of the Action and allow multiple threads to invoke execute .

    开发人员必须清楚,Struts创建的是Action的单一实例,并允许多个线程调用它的execute 。

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  • Immutable data cannot be changed and thus reading immutable data does not require locks, even when multiple threads are reading.

    不可变数据是不能更改的,因此读取不可变数据无需用到锁,即使有多个线程读取时也是如此。

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  • Now, we would have created a data race on the local variable sum, because multiple threads might want to update it simultaneously.

    现在,我们在局部变量sum上创造了一场数据竞争,因为多个线程可能同时希望更新它。

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  • When analyzing a transaction trace, it is usually necessary to follow multiple threads, which adds some complexity to the trace analysis.

    分析事务跟踪信息时,通常有必要分析多个线程,而这将增加跟踪分析的复杂性。

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  • If method register is invoked simultaneously by multiple threads, it could result in a race condition leading to an incorrect _set value.

    如果方法register同时由多个线程调用,那么它会产生一个竞争状态,导致出现错误的_ set值。

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  • Anytime you work with data that will be read or written by multiple threads, you must consider how to manage that data and coordinate changes.

    任何时候要处理将由多个线程读写的数据时,您必须考虑如何管理该数据并协调更改。

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  • Anytime you work with data that will be read or written by multiple threads, you must consider how to manage that data and coordinate changes.

    任何时候要处理将由多个线程读写的数据时,您必须考虑如何管理该数据并协调更改。

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