内容简介:Egg.js : 基于KOA2的企业级框架Kafka:高吞吐量的分布式发布订阅消息系统本文章将集成egg + kafka + mysql 的日志系统例子
Egg.js : 基于KOA2的企业级框架
Kafka:高吞吐量的分布式发布订阅消息系统
本文章将集成egg + kafka + mysql 的日志系统例子
系统要求:日志记录,通过kafka进行消息队列控制
思路图:
这里消费者和生产者都由日志系统提供
λ.1 环境准备
①Kafka
官网下载kafka后,解压
启动zookeeper:
bin/zookeeper-server-start.sh config/zookeeper.properties 复制代码
启动Kafka server
这里config/server.properties中将num.partitions=5,我们设置5个partitions
bin/kafka-server-start.sh config/server.properties 复制代码
② egg + mysql
根据脚手架搭建好egg,再多安装kafka-node,egg-mysql
mysql 用户名root 密码123456
λ.2 集成
- 根目录新建app.js,这个文件在每次项目加载时候都会运作
'use strict'; const kafka = require('kafka-node'); module.exports = app => { app.beforeStart(async () => { const ctx = app.createAnonymousContext(); const Producer = kafka.Producer; const client = new kafka.KafkaClient({ kafkaHost: app.config.kafkaHost }); const producer = new Producer(client, app.config.producerConfig); producer.on('error', function(err) { console.error('ERROR: [Producer] ' + err); }); app.producer = producer; const consumer = new kafka.Consumer(client, app.config.consumerTopics, { autoCommit: false, }); consumer.on('message', async function(message) { try { await ctx.service.log.insert(JSON.parse(message.value)); consumer.commit(true, (err, data) => { console.error('commit:', err, data); }); } catch (error) { console.error('ERROR: [GetMessage] ', message, error); } }); consumer.on('error', function(err) { console.error('ERROR: [Consumer] ' + err); }); }); }; 复制代码
上述代码新建了生产者、消费者。
生产者新建后加载进app全局对象。我们将在请求时候生产消息。这里只是先新建实例
消费者获取消息将访问service层的insert方法(数据库插入数据)。
具体参数可以参考kafka-node官方API,往下看会有生产者和消费者的配置参数。
- controller · log.js
这里获取到了producer,并传往service层
'use strict'; const Controller = require('egg').Controller; class LogController extends Controller { /** * @description Kafka控制日志信息流 * @host /log/notice * @method POST * @param {Log} log 日志信息 */ async notice() { const producer = this.ctx.app.producer; const Response = new this.ctx.app.Response(); const requestBody = this.ctx.request.body; const backInfo = await this.ctx.service.log.send(producer, requestBody); this.ctx.body = Response.success(backInfo); } } module.exports = LogController; 复制代码
- service · log.js
这里有一个send方法,这里调用了producer.send ,进行生产者生产
insert方法则是数据库插入数据
'use strict'; const Service = require('egg').Service; const uuidv1 = require('uuid/v1'); class LogService extends Service { async send(producer, params) { const payloads = [ { topic: this.ctx.app.config.topic, messages: JSON.stringify(params), }, ]; producer.send(payloads, function(err, data) { console.log('send : ', data); }); return 'success'; } async insert(message) { try { const logDB = this.ctx.app.mysql.get('log'); const ip = this.ctx.ip; const Logs = this.ctx.model.Log.build({ id: uuidv1(), type: message.type || '', level: message.level || 0, operator: message.operator || '', content: message.content || '', ip, user_agent: message.user_agent || '', error_stack: message.error_stack || '', url: message.url || '', request: message.request || '', response: message.response || '', created_at: new Date(), updated_at: new Date(), }); const result = await logDB.insert('logs', Logs.dataValues); if (result.affectedRows === 1) { console.log(`SUCEESS: [Insert ${message.type}]`); } else console.error('ERROR: [Insert DB] ', result); } catch (error) { console.error('ERROR: [Insert] ', message, error); } } } module.exports = LogService; 复制代码
- config · config.default.js
一些上述代码用到的配置参数具体在这里,注这里开了5个partition。
'use strict'; module.exports = appInfo => { const config = (exports = {}); const topic = 'logAction_p5'; // add your config here config.middleware = []; config.security = { csrf: { enable: false, }, }; // mysql database configuration config.mysql = { clients: { basic: { host: 'localhost', port: '3306', user: 'root', password: '123456', database: 'merchants_basic', }, log: { host: 'localhost', port: '3306', user: 'root', password: '123456', database: 'merchants_log', }, }, default: {}, app: true, agent: false, }; // sequelize config config.sequelize = { dialect: 'mysql', database: 'merchants_log', host: 'localhost', port: '3306', username: 'root', password: '123456', dialectOptions: { requestTimeout: 999999, }, pool: { acquire: 999999, }, }; // kafka config config.kafkaHost = 'localhost:9092'; config.topic = topic; config.producerConfig = { // Partitioner type (default = 0, random = 1, cyclic = 2, keyed = 3, custom = 4), default 0 partitionerType: 1, }; config.consumerTopics = [ { topic, partition: 0 }, { topic, partition: 1 }, { topic, partition: 2 }, { topic, partition: 3 }, { topic, partition: 4 }, ]; return config; }; 复制代码
- 实体类:
mode · log.js
这里使用了 Sequelize
'use strict'; module.exports = app => { const { STRING, INTEGER, DATE, TEXT } = app.Sequelize; const Log = app.model.define('log', { /** * UUID */ id: { type: STRING(36), primaryKey: true }, /** * 日志类型 */ type: STRING(100), /** * 优先等级(数字越高,优先级越高) */ level: INTEGER, /** * 操作者 */ operator: STRING(50), /** * 日志内容 */ content: TEXT, /** * IP */ ip: STRING(36), /** * 当前用户代理信息 */ user_agent: STRING(150), /** * 错误堆栈 */ error_stack: TEXT, /** * URL */ url: STRING(255), /** * 请求对象 */ request: TEXT, /** * 响应对象 */ response: TEXT, /** * 创建时间 */ created_at: DATE, /** * 更新时间 */ updated_at: DATE, }); return Log; }; 复制代码
- 测试 Python 脚本:
import requests from multiprocessing import Pool from threading import Thread from multiprocessing import Process def loop(): t = 1000 while t: url = "http://localhost:7001/log/notice" payload = "{\n\t\"type\": \"ERROR\",\n\t\"level\": 1,\n\t\"content\": \"URL send ERROR\",\n\t\"operator\": \"Knove\"\n}" headers = { 'Content-Type': "application/json", 'Cache-Control': "no-cache" } response = requests.request("POST", url, data=payload, headers=headers) print(response.text) if __name__ == '__main__': for i in range(10): t = Thread(target=loop) t.start() 复制代码
- 建表语句:
SET NAMES utf8mb4; SET FOREIGN_KEY_CHECKS = 0; -- ---------------------------- -- Table structure for logs -- ---------------------------- DROP TABLE IF EXISTS `logs`; CREATE TABLE `logs` ( `id` varchar(36) CHARACTER SET utf8mb4 COLLATE utf8mb4_bin NOT NULL, `type` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_bin NOT NULL COMMENT '日志类型', `level` int(11) NULL DEFAULT NULL COMMENT '优先等级(数字越高,优先级越高)', `operator` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_bin NULL DEFAULT NULL COMMENT '操作人', `content` text CHARACTER SET utf8mb4 COLLATE utf8mb4_bin NULL COMMENT '日志信息', `ip` varchar(36) CHARACTER SET utf8mb4 COLLATE utf8mb4_bin NULL DEFAULT NULL COMMENT 'IP\r\nIP', `user_agent` varchar(150) CHARACTER SET utf8mb4 COLLATE utf8mb4_bin NULL DEFAULT NULL COMMENT '当前用户代理信息', `error_stack` text CHARACTER SET utf8mb4 COLLATE utf8mb4_bin NULL COMMENT '错误堆栈', `url` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_bin NULL DEFAULT NULL COMMENT '当前URL', `request` text CHARACTER SET utf8mb4 COLLATE utf8mb4_bin NULL COMMENT '请求对象', `response` text CHARACTER SET utf8mb4 COLLATE utf8mb4_bin NULL COMMENT '响应对象', `created_at` datetime(0) NULL DEFAULT NULL COMMENT '创建时间', `updated_at` datetime(0) NULL DEFAULT NULL COMMENT '更新时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_bin ROW_FORMAT = Dynamic; SET FOREIGN_KEY_CHECKS = 1; 复制代码
以上就是本文的全部内容,希望本文的内容对大家的学习或者工作能带来一定的帮助,也希望大家多多支持 码农网
猜你喜欢:- SpringBoot集成RabbitMQ(死信队列)
- rabbitmq实现延时队列(死信队列)
- 消息队列(三)常见消息队列介绍
- 消息队列探秘 – RabbitMQ 消息队列介绍
- 消息队列和任务队列有什么区别?
- 数据结构之——队列与循环队列
本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们。
Refactoring
Martin Fowler、Kent Beck、John Brant、William Opdyke、Don Roberts / Addison-Wesley Professional / 1999-7-8 / USD 64.99
Refactoring is about improving the design of existing code. It is the process of changing a software system in such a way that it does not alter the external behavior of the code, yet improves its int......一起来看看 《Refactoring》 这本书的介绍吧!
RGB转16进制工具
RGB HEX 互转工具
SHA 加密
SHA 加密工具