在Linux环境下,使用LNMP(Linux, Nginx, MySQL, PHP)架构实现高并发处理,可以通过以下几个方面进行优化:
worker_processes auto; # 或者设置为CPU核心数 events { worker_connections 1024; # 根据服务器内存和CPU调整 } http { keepalive_timeout 65; keepalive_requests 100; } location ~* \.(jpg|jpeg|png|gif|ico|css|js)$ { expires 30d; add_header Cache-Control "public"; } proxy_cache_path /var/cache/nginx levels=1:2 keys_zone=my_cache:10m max_size=1g inactive=60m use_temp_path=off; server { location / { proxy_cache my_cache; proxy_pass http://backend; } } [mysqld] innodb_buffer_pool_size = 70% of total RAM key_buffer_size = 256M query_cache_size = 64M [opcache] zend_extension=opcache.so opcache.enable=1 opcache.memory_consumption=128 opcache.interned_strings_buffer=8 opcache.max_accelerated_files=4000 [www] pm = dynamic pm.max_children = 50 pm.start_servers = 5 pm.min_spare_servers = 5 pm.max_spare_servers = 35 ulimit -n 65535 net.core.somaxconn = 65535 net.ipv4.tcp_max_syn_backlog = 65535 net.ipv4.ip_local_port_range = 1024 65535 http { upstream backend { server backend1.example.com; server backend2.example.com; server backend3.example.com; } server { listen 80; location / { proxy_pass http://backend; } } } 通过上述优化措施,可以显著提高LNMP架构在高并发环境下的性能和稳定性。不过,具体的优化策略需要根据实际应用场景和硬件资源进行调整。