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asynchronous programming and multi -thread: differences between concepts and practice
Principles can easily confuse asynchronous programming and multi -threaded threads, and believes that both involve the distribution of computing tasks to multiple processors. However, after careful observation, there is a significant difference between the two.
asynchronous execution: non -blocking operation
Asynchronous methods mainly refer to non -blocking operations, which means that the execution of the current thread will not be interrupted when the waiting task is running. Instead, the remaining code will be registered as a continuous operation and returned the control right to the method. The important thing is that additional threads will not be generated.
Multi -thread and asynchronous process
Although these two technologies can promote concurrent execution, multi -threading involves creating multiple threads to handle complicated tasks. In contrast, asynchronous methods do not run on independent threads, but use the current synchronization context to actively occupy the thread time during the implementation period. asynchronous single -thread:
Asynchronous tasks can be performed without multi -threaded. In this case, the processed background thread helps complete the CPU dense operation. However, the process itself does not involve allocating threads to perform asynchronous tasks.
demonstrates non -blocking asynchronous execution. Task.Run
Keywords effectively register the follow -up code as the callback of the waiting task to ensure that the method can continue to be executed when obtaining data asynchronous.
Activities: Asynchronous as an optimized task management
In order to explain the difference between asynchronous and multi -threads, a analogy involving cooking tasks can be considered:
await
All tasks are performed in order. asynchronous (single thread):
Start the asynchronous cooking task, perform other tasks in free time, and arrange the recovery after the task is completed.asynchronous (multi -thread):
to improve scalability without thread -related expenses.
Conclusion
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