在过去的3周里,我们一直在测试Nginx的负载平衡。 目前,我们还没有成功处理超过1000个req / sec和18K活动连接。 当我们得到上述数字时,Nginx开始挂起,并返回超时代码。 获得响应的唯一方法是显着减少连接数。
我必须注意,我的服务器可以并且确实每天处理这一数量的流量,我们目前使用简单的循环rubin DNS平衡。
我们正在使用具有以下硬件的专用服务器:
我们需要对运行Tomcat6的7台服务器进行负载平衡,并在偷看时处理超过2000 req / sec,处理HTTP和HTTPS请求。
运行Nginx的CPU消耗约为15%,而使用的RAM约为100MB。
我的问题是:
以下是我的配置文件:
nginx.conf:
user nginx;
worker_processes 10;
worker_rlimit_nofile 200000;
error_log /var/log/nginx/error.log warn;
pid /var/run/nginx.pid;
events {
worker_connections 10000;
use epoll;
multi_accept on;
}
http {
include /etc/nginx/mime.types;
default_type application/octet-stream;
log_format main '$remote_addr - $remote_user [$time_local] "$request" '
'$status $body_bytes_sent "$http_referer" '
'"$http_user_agent" "$http_x_forwarded_for"';
#access_log /var/log/nginx/access.log main;
access_log off;
sendfile on;
tcp_nopush on;
keepalive_timeout 65;
reset_timedout_connection on;
gzip on;
gzip_comp_level 1;
include /etc/nginx/conf.d/*.conf;
}
servers.conf:
#Set the upstream (servers to load balance)
#HTTP stream
upstream adsbar {
least_conn;
server xx.xx.xx.34 max_fails=2 fail_timeout=15s;
server xx.xx.xx.36 max_fails=2 fail_timeout=15s;
server xx.xx.xx.37 max_fails=2 fail_timeout=15s;
server xx.xx.xx.39 max_fails=2 fail_timeout=15s;
server xx.xx.xx.40 max_fails=2 fail_timeout=15s;
server xx.xx.xx.42 max_fails=2 fail_timeout=15s;
server xx.xx.xx.43 max_fails=2 fail_timeout=15s;
}
#HTTPS stream
upstream adsbar-ssl {
least_conn;
server xx.xx.xx.34:443 max_fails=2 fail_timeout=15s;
server xx.xx.xx.36:443 max_fails=2 fail_timeout=15s;
server xx.xx.xx.37:443 max_fails=2 fail_timeout=15s;
server xx.xx.xx.39:443 max_fails=2 fail_timeout=15s;
server xx.xx.xx.40:443 max_fails=2 fail_timeout=15s;
server xx.xx.xx.42:443 max_fails=2 fail_timeout=15s;
server xx.xx.xx.43:443 max_fails=2 fail_timeout=15s;
}
#HTTP
server {
listen xxx.xxx.xxx.xxx:8080;
server_name www.mycompany.com;
location / {
proxy_set_header Host $host;
# So the original HTTP Host header is preserved
proxy_set_header X-Real-IP $remote_addr;
# The IP address of the client (which might be a proxy itself)
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_pass http://adsbar;
}
}
#HTTPS
server {
listen xxx.xxx.xxx.xxx:8443;
server_name www.mycompany.com;
ssl on;
ssl_certificate /etc/pki/tls/certs/mycompany.crt;
# Path to an SSL certificate;
ssl_certificate_key /etc/pki/tls/private/mycompany.key;
# Path to the key for the SSL certificate;
location / {
proxy_set_header Host $host;
# So the original HTTP Host header is preserved
proxy_set_header X-Real-IP $remote_addr;
# The IP address of the client (which might be a proxy itself)
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_pass https://adsbar-ssl;
}
}
server {
listen xxx.xxx.xxx.xxx:61709;
location /nginx_status {
stub_status on;
access_log off;
allow 127.0.0.1;
deny all;
}
}
sysctl.conf的:
# Kernel sysctl configuration file for Red Hat Linux
#
# For binary values,
0 is disabled, 1 is enabled. See sysctl(8) and
# sysctl.conf(5) for more details.
# Controls IP packet forwarding
net.ipv4.ip_forward = 0
# Controls source route verification
net.ipv4.conf.default.rp_filter = 1
# Do not accept source routing
net.ipv4.conf.default.accept_source_route = 0
# Controls the System Request debugging functionality of the kernel
kernel.sysrq = 1
# Controls whether core dumps will append the PID to the core filename
# Useful for debugging multi-threaded applications
kernel.core_uses_pid = 1
# Controls the use of TCP syncookies
net.ipv4.tcp_syncookies = 1
# Controls the maximum size of a message, in bytes
kernel.msgmnb = 65536
# Controls the default maxmimum size of a mesage queue
kernel.msgmax = 65536
# Controls the maximum shared segment size, in bytes
kernel.shmmax = 68719476736
# Controls the maximum number of shared memory segments, in pages
kernel.shmall = 4294967296
fs.file-max = 120000
net.ipv4.ip_conntrack_max = 131072
net.ipv4.tcp_max_syn_backlog = 8196
net.ipv4.tcp_fin_timeout = 25
net.ipv4.tcp_keepalive_time = 3600
net.ipv4.ip_local_port_range = 1024 65000
net.ipv4.tcp_rmem = 4096 25165824 25165824
net.core.rmem_max = 25165824
net.core.rmem_default = 25165824
net.ipv4.tcp_wmem = 4096 65536 25165824
net.core.wmem_max = 25165824
net.core.wmem_default = 65536
net.core.optmem_max = 25165824
net.core.netdev_max_backlog = 2500
net.ipv4.tcp_tw_recycle = 1
net.ipv4.tcp_tw_reuse = 1
任何帮助,指导和想法都将受到高度赞赏。
答案 0 :(得分:17)
以下是一些很好的参考资料:
http://dak1n1.com/blog/12-nginx-performance-tuning
服务器故障: https://serverfault.com/questions/221292/tips-for-maximizing-nginx-requests-sec
来自dak1n1链接的详细记录配置:
# This number should be, at maximum, the number of CPU cores on your system.
# (since nginx doesn't benefit from more than one worker per CPU.)
worker_processes 24;
# Number of file descriptors used for Nginx. This is set in the OS with 'ulimit -n 200000'
# or using /etc/security/limits.conf
worker_rlimit_nofile 200000;
# only log critical errors
error_log /var/log/nginx/error.log crit
# Determines how many clients will be served by each worker process.
# (Max clients = worker_connections * worker_processes)
# "Max clients" is also limited by the number of socket connections available on the system (~64k)
worker_connections 4000;
# essential for linux, optmized to serve many clients with each thread
use epoll;
# Accept as many connections as possible, after nginx gets notification about a new connection.
# May flood worker_connections, if that option is set too low.
multi_accept on;
# Caches information about open FDs, freqently accessed files.
# Changing this setting, in my environment, brought performance up from 560k req/sec, to 904k req/sec.
# I recommend using some varient of these options, though not the specific values listed below.
open_file_cache max=200000 inactive=20s;
open_file_cache_valid 30s;
open_file_cache_min_uses 2;
open_file_cache_errors on;
# Buffer log writes to speed up IO, or disable them altogether
#access_log /var/log/nginx/access.log main buffer=16k;
access_log off;
# Sendfile copies data between one FD and other from within the kernel.
# More efficient than read() + write(), since the requires transferring data to and from the user space.
sendfile on;
# Tcp_nopush causes nginx to attempt to send its HTTP response head in one packet,
# instead of using partial frames. This is useful for prepending headers before calling sendfile,
# or for throughput optimization.
tcp_nopush on;
# don't buffer data-sends (disable Nagle algorithm). Good for sending frequent small bursts of data in real time.
tcp_nodelay on;
# Timeout for keep-alive connections. Server will close connections after this time.
keepalive_timeout 30;
# Number of requests a client can make over the keep-alive connection. This is set high for testing.
keepalive_requests 100000;
# allow the server to close the connection after a client stops responding. Frees up socket-associated memory.
reset_timedout_connection on;
# send the client a "request timed out" if the body is not loaded by this time. Default 60.
client_body_timeout 10;
# If the client stops reading data, free up the stale client connection after this much time. Default 60.
send_timeout 2;
# Compression. Reduces the amount of data that needs to be transferred over the network
gzip on;
gzip_min_length 10240;
gzip_proxied expired no-cache no-store private auth;
gzip_types text/plain text/css text/xml text/javascript application/x-javascript application/xml;
gzip_disable "MSIE [1-6]\.";
还有关于sysctl.conf的linux系统调优的更多信息:
# Increase system IP port limits to allow for more connections
net.ipv4.ip_local_port_range = 2000 65000
net.ipv4.tcp_window_scaling = 1
# number of packets to keep in backlog before the kernel starts dropping them
net.ipv4.tcp_max_syn_backlog = 3240000
# increase socket listen backlog
net.core.somaxconn = 3240000
net.ipv4.tcp_max_tw_buckets = 1440000
# Increase TCP buffer sizes
net.core.rmem_default = 8388608
net.core.rmem_max = 16777216
net.core.wmem_max = 16777216
net.ipv4.tcp_rmem = 4096 87380 16777216
net.ipv4.tcp_wmem = 4096 65536 16777216
net.ipv4.tcp_congestion_control = cubic
答案 1 :(得分:2)
nginx肯定能够处理超过1000 req / s(当我用便携式笔记本电脑玩jmeter使用一个和两个核心的一半时,我在nginx中得到大约2800 req / s)
你正在使用epoll,这是我理解的当前linux内核的最佳选择。
你已经关闭了acces_log,所以你的磁盘IO也不应该是一个瓶颈(注意:你也可以将access_log设置为缓冲模式,其中只有一个大缓冲区,它只能在每个x kb之后写入,这样可以避免磁盘不断被锤击,但保留日志进行分析)
我的理解是,为了最大化nginx性能,通常将worker_processes的数量设置为等于core / cpu的数量,然后增加worker_connections的数量以允许更多并发连接(以及打开文件的数量os限制)。然而,在您上面发布的数据中,您有一个四核cpu,其中包含10个工作进程,每个进程允许10k个连接。因此,在nginx方面,我会尝试类似:
worker_processes 4;
worker_rlimit_nofile 999999;
events {
worker_connections 32768;
use epoll;
multi_accept on;
}
在内核方面,我会以不同的方式调整tcp读写缓冲区,你需要一个小的最小值,小的默认值和大的最大值。
你已经提升了短暂的端口范围。
我的数字打开文件限制更多,因为你将有很多打开的套接字。
在/etc/sysctl.conf
中添加/更改以下行net.ipv4.tcp_rmem = 4096 4096 25165824
net.ipv4.tcp_wmem = 4096 4096 25165824
fs.file-max=999999
希望有所帮助。
答案 2 :(得分:2)
我发现使用连接最少的算法是有问题的。我切换到了
echo filename.b.c | tr . '\n'
并且更快地找到了服务。