案例一

rewrite_by_lua \'
--引入openresty自带的json处理对象
local cjson = require("cjson")
local producer = require "resty.kafka.producer"
-- 定义kafka broker地址，ip需要和kafka的host.name配置一致
local broker_list = {
{ host = "192.168.115.28", port = 9092 },
{ host = "192.168.115.29", port = 9092 },
{ host = "192.168.115.30", port = 9092 }
}
-- 定义json便于日志数据整理收集
local log_json = {}

local request_method = ngx.req.get_method
if "GET" == request_method then
-- 普通get请求
ngx.log(ngx.ERR,"不支持GET请求")
log_json["start_time"]=ngx.req.start_time()
log_json["header"]=ngx.req.raw_header()
log_json["uri"]=ngx.req.get_uri_args()
log_json["headers"]=ngx.req.get_headers()
log_json["body"]=ngx.req.read_body()
log_json["body_data"]=ngx.req.get_body_data()
elseif "POST" == request_method then
ngx.req.read_body()
local body_data = ngx.req.get_body_data() --body_data可是符合http协议的请求体，不是普通的字符串
--请求体的size大于nginx配置里的client_body_buffer_size，则会导致请求体被缓冲到磁盘临时文件里，client_body_buffer_size默认是8k或者16k
if not body_data then
ngx.log(ngx.WARN,"no request body found" )
end
log_json["start_time"]=ngx.req.start_time()
log_json["header"]=ngx.req.raw_header()
log_json["uri"]=ngx.req.get_uri_args()
log_json["post"]=ngx.req.get_post_args()
log_json["headers"]=ngx.req.get_headers()
log_json["body"]=ngx.req.read_body()
log_json["body_data"]=ngx.req.get_body_data()
end
ngx.log(ngx.INFO,"log_json",cjson.encode(log_json))
-- 转换json为字符串
local message = cjson.encode(log_json);
-- 定义kafka异步生产者
local bp = producer:new(broker_list, { producer_type = "async" })
-- 发送日志消息,send第二个参数key,用于kafka路由控制:
-- key为nill(空)时，一段时间向同一partition写入数据
-- 指定key，按照key的hash写入到对应的partition
local ok, err = bp:send("postman1", nil, message)

if not ok then
ngx.log(ngx.ERR, "kafka send err:", err)
return
end

\';

案例二

server {
listen 80;
server_name localhost;
location /favicon.ico {
root html;
index index.html index.htm;
}
location / {
proxy_connect_timeout 8;
proxy_send_timeout 8;
proxy_read_timeout 8;
proxy_buffer_size 4k;
proxy_buffers 512 8k;
proxy_busy_buffers_size 8k;
proxy_temp_file_write_size 64k;
proxy_next_upstream http_500 http_502 http_503 http_504 error timeout invalid_header;
root html;
index index.html index.htm;
proxy_pass http://rc;
proxy_http_version 1.1;
proxy_set_header Connection "";
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
# 使用log_by_lua 包含lua代码,因为log_by_lua指令运行在请求最后且不影响proxy_pass机制
rewrite_by_lua \'
-- 引入lua所有api
local cjson = require "cjson"
local producer = require "resty.kafka.producer"
-- 定义kafka broker地址，ip需要和kafka的host.name配置一致
local broker_list = {
{ host = "10.10.78.52", port = 9092 },
}
-- 定义json便于日志数据整理收集
local log_json = {}
log_json["uri"]=ngx.var.uri
log_json["args"]=ngx.var.args
log_json["host"]=ngx.var.host
log_json["request_body"]=ngx.var.request_body
log_json["remote_addr"] = ngx.var.remote_addr
log_json["remote_user"] = ngx.var.remote_user
log_json["time_local"] = ngx.var.time_local
log_json["status"] = ngx.var.status
log_json["body_bytes_sent"] = ngx.var.body_bytes_sent
log_json["http_referer"] = ngx.var.http_referer
log_json["http_user_agent"] = ngx.var.http_user_agent
log_json["http_x_forwarded_for"] = ngx.var.http_x_forwarded_for
log_json["upstream_response_time"] = ngx.var.upstream_response_time
log_json["request_time"] = ngx.var.request_time
-- 转换json为字符串
local message = cjson.encode(log_json);
-- 定义kafka异步生产者
local bp = producer:new(broker_list, { producer_type = "async" })
-- 发送日志消息,send第二个参数key,用于kafka路由控制:
-- key为nill(空)时，一段时间向同一partition写入数据
-- 指定key，按照key的hash写入到对应的partition
local ok, err = bp:send("test1", nil, message)

if not ok then
ngx.log(ngx.ERR, "kafka send err:", err)
return
end
\';
}
error_page 500 502 503 504 /50x.html;
location = /50x.html {
root html;
}
}

参考：https://blog.csdn.net/u011239989/article/details/52239785

#user nobody;
worker_processes 1;

#error_log logs/error.log;
#error_log logs/error.log notice;
error_log logs/error.log info;

pid logs/nginx.pid;

events {
use epoll;
worker_connections 1024;
}

http {
include 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 logs/access.log main;

sendfile on;
tcp_nopush on;

#keepalive_timeout 0;
keepalive_timeout 65;

#gzip on;
lua_package_path "lua-resty-kafka/lib/?.lua;;";
client_body_buffer_size 128m;
server {
listen 80;
server_name localhost;
location / {
root html;
index index.html index.htm;
}
location ^~ /api/getuserinfo {
rewrite_by_lua \'
-- 引入lua所有api
local cjson = require("cjson")
local producer = require "resty.kafka.producer"
-- 定义kafka broker地址，ip需要和kafka的host.name配置一致
local broker_list = {
{ host = "192.168.115.28", port = 9092 },
{ host = "192.168.115.29", port = 9092 },
{ host = "192.168.115.30", port = 9092 }
}
-- 定义json便于日志数据整理收集
local log_json = {}
ngx.req.read_body()
log_json["start_time"]=ngx.req.start_time()
log_json["header"]=ngx.req.raw_header()
log_json["uri"]=ngx.req.get_uri_args()
log_json["post"]=ngx.req.get_post_args()
log_json["headers"]=ngx.req.get_headers()
log_json["body_data"]=ngx.req.get_body_data()
log_json["uri"]=ngx.var.uri
log_json["args"]=ngx.var.args
log_json["host"]=ngx.var.host
log_json["request_body"]=ngx.var.request_body
log_json["remote_addr"] = ngx.var.remote_addr
log_json["remote_user"] = ngx.var.remote_user
log_json["time_local"] = ngx.var.time_local
log_json["status"] = ngx.var.status
log_json["body_bytes_sent"] = ngx.var.body_bytes_sent
log_json["http_referer"] = ngx.var.http_referer
log_json["http_user_agent"] = ngx.var.http_user_agent
log_json["http_x_forwarded_for"] = ngx.var.http_x_forwarded_for
log_json["upstream_response_time"] = ngx.var.upstream_response_time
log_json["request_time"] = ngx.var.request_time
-- 转换json为字符串
local message = cjson.encode(log_json);
-- 定义kafka异步生产者
local bp = producer:new(broker_list, { producer_type = "async" })
-- 发送日志消息,send第二个参数key,用于kafka路由控制:
-- key为nill(空)时，一段时间向同一partition写入数据
-- 指定key，按照key的hash写入到对应的partition
local ok, err = bp:send("postman1", nil, message)

if not ok then
ngx.log(ngx.ERR, "kafka send err:", err)
return
end
\';
}
error_page 500 502 503 504 /50x.html;
location = /50x.html {
root html;
}
}
}