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。