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LogAgen的工作流程

LogAgen的工作流程：

一.读日志　－－tailf 第三方库

新建tail_test/main.go

package main

import (
	"fmt"
	"github.com/hpcloud/tail"
	"time"
)

func main() {
	fileName := "./my.log"
	//fileName := "/tmp/kafka-logs/web_log-0/00000000000000000000.log"
	config := tail.Config{
		ReOpen:    true,                                 //重新打开
		Follow:    true,                                 //是否跟随
		Location:  &tail.SeekInfo{Offset: 0, Whence: 2}, //从文件的哪个地方开始读
		MustExist: false,                                //文件不存在不报错
		Poll:      true,
	}
	tails, err := tail.TailFile(fileName, config)
	if err != nil {
		fmt.Println("tail file failed,err:", err)
		return
	}
	var (
		line *tail.Line
		ok  bool
	)
	for {
		line,ok = <-tails.Lines
		if !ok {
			fmt.Printf("tail file close reopen,filename:%s
",tails,fileName)
			time.Sleep(time.Second)
			continue
		}
		fmt.Println("line:",line.Text)
	}
}

执行下面的命令：

export GO111MODULE=on
export GOPROXY=https://goproxy.cn
go mod init
go mod tidy
go build client.go
./client

二. 往kafka写日志－－sarama

window安装方法参考;

https://docs.qq.com/doc/DTmdldEJJVGtTRkFi

Ubuntu18.04 安装Jdk1.8

环境信息： OS：Ubuntu18.04 JDK：8

第一步：安装JDK

https://blog.csdn.net/hunt_er/article/details/82850509

1.输入命令：sudo apt install openjdk-8-jre-headless，回车

2.java -version 　　//查看版本

第二步：安装zookeeper

１．下载：kafka_2.12-2.4.0.tgz

打开下面的网址下载：

http://kafka.apache.org/downloads

wget http://mirror.bit.edu.cn/apache/kafka/2.4.0/kafka_2.12-2.4.0.tgz
tar -zxvf kafka_2.12-2.4.0.tgz

配置

打开configzookeeper.properties文件
修改dataDir=E:zookeeper3.5.5data (windows下配置)

启动

cd /usr/local/kafka_2.12-2.4.0/bin

./zookeeper-server-start.sh ../config/zookeeper.properties

第三步：安装kafka

配置

打开config目录下的server.properties文件
修改log.dirs=E:kafkalogs　　(windows下配置)

启动

cd /usr/local/kafka_2.12-2.4.0/bin
./kafka-server-start.sh ../config/server.properties

三．编辑代码

新建client.go文件

package main

import (
	"fmt"

	"github.com/Shopify/sarama"
)

// 基于sarama第三方库开发的kafka client

func main() {
	config := sarama.NewConfig()
	config.Producer.RequiredAcks = sarama.WaitForAll          // 发送完数据需要leader和follow都确认
	config.Producer.Partitioner = sarama.NewRandomPartitioner // 新选出一个partition
	config.Producer.Return.Successes = true                   // 成功交付的消息将在success channel返回

	// 构造一个消息
	msg := &sarama.ProducerMessage{}
	msg.Topic = "web_log"
	msg.Value = sarama.StringEncoder("this is a test log11")
	// 连接kafka
	client, err := sarama.NewSyncProducer([]string{"127.0.0.1:9092"}, config)
	if err != nil {
		fmt.Println("producer closed, err:", err)
		return
	}
	fmt.Println("连接成功．")
	defer client.Close()
	// 发送消息
	pid, offset, err := client.SendMessage(msg)
	if err != nil {
		fmt.Println("send msg failed, err:", err)
		return
	}
	fmt.Printf("pid:%v offset:%v
", pid, offset)
}