Do you often encounter the problem that the server load is too high and cannot be accessed normally? Then, you need to understand a very important concept in the Linux system - the thread pool. By properly configuring the thread pool, the problem of server overload can be effectively avoided, and the stability and reliability of the system can be improved.
The thread pool is also a multi-threaded approach. It is to add tasks to the "task queue" proposed by the "producer" thread, and then some threads automatically complete the tasks on the "task queue".
Briefly describe the use of thread pool under Linux C Briefly describe the use of thread pool under Linux C
Multi-threaded programming, create a thread, specify to complete a certain task, and wait for the thread to exit. Although it can meet the programming requirements, when we need to create a large number of threads, a large amount of CPU may be consumed in the process of creating and destroying threads, which increases a lot of overhead. Such as: copy of folder, response of WEB server.
The thread pool is used to solve a problem like this, which can reduce the overhead caused by frequently creating and destroying threads.
Thread pool technical ideas: Generally, pre-created thread technology is used, that is, a certain number of threads are created in advance. After these threads are created in advance, assuming that there are no tasks in the "task queue", let these threads sleep. Once there are tasks, wake up the threads to execute the tasks. After the tasks are executed, there is no need to destroy the threads until you want to When exiting or shutting down, at this time, you call the function that destroys the thread pool to destroy the thread.
The thread will not be destroyed after completing the task, but will automatically execute the next task. Moreover, when there are many tasks, you can have a function interface to increase the number of threads, and when there are fewer tasks, you can have a function interface to destroy some threads.
If, the time to create and destroy threads is negligible compared to the time to execute tasks &