使用Nginx做页面采集, Kafka收集到对应Topic_6XwWe5qWHGM2PojVPUSejM
使用Nginx做页面采集, Kafka收集到对应Topic
0.架构简介
模拟线上的实时流,比如用户的操作日志,采集到数据后,进行处理,暂时只考虑数据的采集,使用Html+Jquery+Nginx+Ngx_kafka_module+Kafka
来实现,其中Ngxkafkamodule 是开源的专门用来对接Nginx和Kafka
的一个组件。
1.需求描述
1.1 用html
和jquery
模拟用户请求日志
其中包括下面下面几项:
用户id:user_id, 访问时间:act_time, 操作: (action,包括click,job_collect,cv_send,cv_upload)
企业编码job_code
1.2 用Nginx接受1.1中的请求
1.3 接受完请求后,使用ngx_kafka_module将数据发送到Kafka的主题tp_individual 中。
1.4 在kafka中使用一个消费者消费该主题,观察
2.搭建步骤
2.1 Kafka安装
由于使用现成的已安装好的docker-kafka镜像,所以直接启动即可.
2.2 安装Nginx,并启动
$ cd /usr/local/src
$ git clone [email protected]:edenhill/librdkafka.git
# 进入到librdkafka,然后进行编译
$ cd librdkafka
$ yum install -y gcc gcc-c++ pcre-devel zlib-devel
$ ./configure
$ make && make install
$ yum -y install make zlib-devel gcc-c++ libtool openssl openssl-devel
$ cd /opt/hoult/software
# 1.下载
$ wget http://nginx.org/download/nginx-1.18.0.tar.gz
# 2.解压
$ tar -zxf nginx-1.18.0.tar.gz -C /opt/hoult/servers
# 3. 下载模块源码
$ cd /opt/hoult/software
$ git clone [email protected]:brg-liuwei/ngx_kafka_module.git
# 4. 编译
$ cd /opt/hoult/servers/nginx-1.18.0
$ ./configure --add-module=/opt/hoult/software/ngx_kafka_module/
$ make && make install
# 5.删除Nginx安装包
$ rm /opt/hoult/software/nginx-1.18.0.tar.gz
# 6.启动nginx
$ cd /user/local/nginx
$ sbin/nginx
3.相关配置
3.1 nginx配置nginx.conf
#pid logs/nginx.pid;
events {
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;
kafka;
kafka_broker_list linux121:9092;
server {
listen 9090;
server_name localhost;
#charset koi8-r;
#access_log logs/host.access.log main;
#------------kafka相关配置开始------------
location = /kafka/log {
#跨域相关配置
add_header 'Access-Control-Allow-Origin' $http_origin;
add_header 'Access-Control-Allow-Credentials' 'true';
add_header 'Access-Control-Allow-Methods' 'GET, POST, OPTIONS';
kafka_topic tp_individual;
}
#error_page 404 /404.html;
}
}
3.2 启动kafka 生产者和消费者
# 创建topic
kafka-topics.sh --zookeeper linux121:2181/myKafka --create --topic tp_individual --partitions 1 --replication-factor 1
# 创建消费者
kafka-console-consumer.sh --bootstrap-server linux121:9092 --topic tp_individual --from-beginning
# 创建生产者测试
kafka-console-producer.sh --broker-list linux121:9092 --topic tp_individual
3.3 编写Html + Jquery代码
<!DOCTYPE html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1,shrink-to-fit=no">
<title>index</title>
<!-- jquery cdn, 可换其他 -->
<script src="https://cdn.bootcdn.net/ajax/libs/jquery/3.5.1/jquery.js"></script>
</head>
<body>
<input id="click" type="button" value="点击" onclick="operate('click')" />
<input id="collect" type="button" value="收藏" onclick="operate('job_collect')" />
<input id="send" type="button" value="投简历" onclick="operate('cv_send')" />
<input id="upload" type="button" value="上传简历" onclick="operate('cv_upload')" />
</body>
<script>
function operate(action) {
var json = {'user_id': 'u_donald', 'act_time': current().toString(), 'action': action, 'job_code': 'donald'};
$.ajax({
url:"http://linxu121:8437/kafka/log",
type:"POST" ,
crossDomain: true,
data: JSON.stringify(json),
// 下面这句话允许跨域的cookie访问
xhrFields: {
withCredentials: true
},
success:function (data, status, xhr) {
// console.log("操作成功:'" + action)
},
error:function (err) {
// console.log(err.responseText);
}
});
};
function current() {
var d = new Date(),
str = '';
str += d.getFullYear() + '-';
str += d.getMonth() + 1 + '-';
str += d.getDate() + ' ';
str += d.getHours() + ':';
str += d.getMinutes() + ':';
str += d.getSeconds();
return str;
}
</script>
</html>
将a.html
放在nginx的目录下,浏览器访问192.168.18.128:9090
4.演示
4.1 首先启动zk集群,kafka集群
4.2 然后创建topic, 创建消费者,创建生产者,测试topic
4.3 启动nginx访问页面,进行点击,观察消费者状态
整个过程如下图:
标签:6XwWe5qWHGM2PojVPUSejM,log,Nginx,--,kafka,Topic,nginx,Kafka From: https://www.cnblogs.com/hulichao/p/use-nginx-as-a-page-collection-kafka-collects-correspon