The server operation blocking (or the server running block) refers to the case that the server encounters the obstruction when processing the request, which causes the response time to be pronounced or the request cannot be processed in time. This may have a negative impact on server performance and availability, affecting the normal operation of user experience and systems.

　　The server operation block may be caused by the following factors:

　　1. High load: When the server faces a large number of concurrent requests, the system resources may be exhausted, resulting in the release of the request waiting for the resource, causing obstruction.

　　2. Long -term operation task: If there are long -term operation tasks on the server, such as complex database queries or computing dense operations, these tasks may block the processing of other requests.

　　3. Resource competition: When multiple threads or processes compete with the same resource (such as files, database connections, etc.), resource locking and obstruction may be caused.

　　4. Dead lock: When multiple processes or threads are waiting for the other party to release resources, the dead lock may occur, causing further obstruction.

　　5. Memory leakage: If there is a memory leak in the server application, the system resources may gradually deplete and eventually cause operation to block.

　　6. Network delay: When the server communicates with external resources, the network delay may cause the request to wait to respond, which will cause obstruction.

　　In order to solve the problem of server operation, the following methods can be considered:

　　1. Optimize code: Optimize application code, minimize the tasks of long -term operation, and reduce the possibility of resource competition and deadlock.

　　2. Concurrent control: Use an appropriate concurrency control mechanism to ensure reasonable competition resources between multiple threads or processes.

　　3. Load balancing: Use load balancing to disperse requests, so that each server can deal with the load on average and reduce the pressure of a single server.

　　4. Resource monitoring: Use the surveillance tool to regularly monitor the resource usage of the server, and timely discover and solve the potential problems in time.

　　5. Caches: Using appropriate cache strategies can reduce frequent access to resources, thereby reducing server burden.

　　6. Distributed architecture: If the load of the application is very large, you can consider using a distributed architecture to process the request and disperse the load to multiple servers.

　　7. Failure exclusion: When the server is running, the fault is eliminated in time, and the fundamental cause of the problem is found and solved.

　　To sum up, the server operation blockage is a situation that affects the performance and availability of the server. Appropriate measures need to be taken to prevent and solve it to ensure that the server can run stably and efficiently.