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The Go programming language is an increasingly popular language that is often used for the development of high-concurrency and distributed systems. The scheduler is a core feature of the Go language and is responsible for managing the creation, destruction and scheduling of coroutines. In development, choosing the right scheduler is very important. However, sometimes we may find that our program cannot use the scheduler library correctly, and this article will explore this issue.
Before analyzing the problem in depth, we need to first understand the working principle of the scheduler. The scheduler is responsible for scheduling the coroutines created in the code and ensuring that they execute in the appropriate order. The scheduler will put the coroutine into the thread pool according to a certain algorithm, and then execute it in different threads. This ensures the speed and efficiency of multi-threaded coroutine execution.
However, because the scheduler uses a predetermined scheduling algorithm and is non-preemptive, problems may occur in some cases. For example, if a coroutine takes too long to execute, other coroutines will be waiting, resulting in low overall execution efficiency.
The Go language has multiple scheduler libraries to choose from, which differ in terms of performance, resource utilization, and scalability. . For different application scenarios, we need to choose different scheduler libraries to meet the needs.
For example, the scheduler in the standard library is suitable for small applications because it is lightweight and responsive. Other schedulers, such as Goroutine Pool and Jump schedulers, are suitable for sensitive real-time applications because they support more fine-grained control.
In addition to choosing a scheduler library suitable for your application, we also need to consider the configuration parameters of the scheduler. By default, the Go language scheduler starts one thread for each CPU core, which can maximize the use of CPU resources.
However, in some cases, we need to set scheduler parameters manually to achieve better performance and resource utilization. For example, we can set the GOMAXPROCS environment variable to control the maximum number of concurrent executions, or use the runtime.LockOSThread() and runtime.UnlockOSThread() functions to control the execution of coroutines.
Finally, we need to pay attention to avoid using long-term blocking operations in coroutines. Because the scheduler maintains the execution status and execution queue of the coroutine, if a coroutine is suspended due to blocking, the performance of the entire execution queue will be affected, resulting in low overall performance.
For tasks that require long-term blocking, we can use special coroutines or other implementation methods to avoid blocking, such as by using WaitGroup, Timer and Channel.
In short, the scheduler is a very important component in the process of using the Go programming language. Proper selection of scheduler libraries and configuration parameters, as well as avoiding the use of blocking operations, can improve program performance and stability.
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