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catalogue 1 overview of Python multiprocess programming 2 needs and programmes Background: Requirements: Solution: Problems and solutions to be solved: 3 complete code 1 overview of Python multiprocess programming Multithreading in Python cannot take advantage of multi-core. If you want to make full use of the resources of multi-core ...

When using RabbitMQ for asynchronous message processing, it is always found that after one or more consumer processes are started, they are automatically disconnected after a period of time, such as a few minutes or 10 minutes, resulting in a large number of messages in the queue and can not be processed. In order to ensure the continuous high ...

Encapsulation of Linux 'C/C + + shared memory with message queue + semaphore 1, Train of thought The server demo I do is divided into two servers: the front server and the rear server. The front server is used to receive information, contract and unpack, while the rear server is used to process the package business. The front and rear process ...

Test Code #define _GNU_SOURCE #include<sched.h> #include<stdio.h> #include<stdlib.h> #include<unistd.h> #include<stdint.h> #include<sys/wait.h> #include<sys/types.h> typedef void (*spawn_proc_pt)(void*data); static void work_process_cycle(void*data);//Function of work static void start_processes ...

Interprocess communication (IPC) mode Inter process communication (IPC) mainly includes the following: 1，Nameless pipe( PIPE)And famous pipes( FIFO). 2，Signal( signal). 3，system V-IPC Shared memory. 4，system V-IPC Message queue. 5，system V-IPC Semaphore. 6，Socket. 1. Pipeline 1.1 unknown pipeline 1.2 characteristics of unkn ...

In the previous section, we talked about the concept of multiprocessing. Just look at multithreading in the previous section. Multi process mainly uses multiprocessing library. The main code flow is as follows 1. Import library: import multiprocessing 2. Create process: t1 = multiprocessing.Process(target=test1) t1.start() import multiprocessi ...