1.首先初始化conf配置把kafka和ES的地址配置好还有一个日志方便查看
配置信息如下 用到的库是
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github.com/astaxie/beego/config[logs]log_level = debuglog_path = "./logs/log_transfer.log"[kafka]server_addr = 192.168.0.134:9092topic = nginx_log[ES]addr = http://192.168.0.134:9200/ |
2.读取conf配置存取进结构体
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type LogConfig struct { kafkaAddr string ESAddr string LogPath string LogLevel string Topic string}var ( logConfig *LogConfig) |
3.读取conf配置代码如下
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func initConfig(conftype string,filename string)(err error) { conf, err := config. NewConfig(conftype,filename) if err != nil { fmt. Println( "new config faild,err:",err) return } logConfig = &LogConfig{} logConfig.LogLevel = conf. String( "logs::log_level") if len(logConfig.LogLevel) == 0 { logConfig.LogLevel = "debug" } logConfig.LogPath = conf. String( "logs::log_path") if len(logConfig.LogPath) == 0 { logConfig.LogPath = "./logs" } logConfig.kafkaAddr = conf. String( "kafka::server_addr") if len(logConfig.kafkaAddr) == 0 { err = fmt. Errorf( "invalid kafka addr err") return } logConfig.ESAddr = conf. String( "ES::addr") if len(logConfig.ESAddr) == 0 { err = fmt. Errorf( "invalid ES addr err") return } logConfig.Topic = conf. String( "kafka::topic") if len(logConfig.Topic) == 0 { err = fmt. Errorf( "invalid topic addr err") return } return} |
4.完成了initConfig的初始化
5.初始化initLogger
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func convertLogLevel(level string) int { switch(level) { case "debug": return logs.LevelDebug case "warn": return logs.LevelWarn case "info": return logs.LevelInfo case "trace": return logs.LevelTrace } return logs.LevelDebug}func initLogger(logpath string, logLevel string) (err error) { config := make( map[ string] interface{}) config[ "filename"] = logpath config[ "level"] = convertLogLevel(logLevel) configStr, err := json. Marshal(config) if err!= nil { fmt. Println( "marshal failed,err:",err) return } logs. SetLogger(logs.AdapterFile, string(configStr)) return} |
6.初始化kafka
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type KafkaClient struct { client sarama.Consumer addr string topic string wg sync.WaitGroup}var ( kafkaClient *KafkaClient)func initKafKa(addr string,topic string)(err error) { kafkaClient = &KafkaClient{} consumer, err := sarama. NewConsumer(strings. Split(addr, ","), nil) if err != nil { logs. Error( "Failed to strat consumer :",err) return } kafkaClient.client = consumer kafkaClient.addr = addr kafkaClient.topic = topic return} |
7.初始化ES
gopkg.in/olivere/elastic.v2 // 这个是操作ES的库
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type LogMessage struct { App string Topic string Message string}var ( esClient *elastic.Client)func initES(addr string)(err error) { client, err := elastic. NewClient(elastic. SetSniff( false),elastic. SetURL(addr)) if err != nil { fmt. Println( "connect es error",err) return } esClient = client return} |
8.干活把kafka的数据写入ES
github.com/Shopify/sarama 这个是操作kafka的驱动库
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func run()(err error) { fmt. Println( "run") partitionList, err := kafkaClient.client. Partitions(kafkaClient.topic) if err != nil { logs. Error( "ini failed ,err:%v",err) fmt. Printf( "ini failed ,err:%v",err) return } for partition := range partitionList { fmt. Println( "for进入") pc, errRet := kafkaClient.client. ConsumePartition(kafkaClient.topic, int32(partition),sarama.OffsetNewest) if errRet != nil { err = errRet logs. Error( "Failed to start consumer for partition %d: %s \n ",partition,err) fmt. Printf( "Failed to start consumer for partition %d: %s \n ",partition,err) return } defer pc. AsyncClose() fmt. Println( "马上进入协程") kafkaClient.wg. Add( 1) go func(pc sarama.PartitionConsumer){ fmt. Println( "进来了") for msg := range pc. Messages() { fmt. Println( "func执行") logs. Debug( "Partition:%d,Offset:%d,key:%s,value:%s",msg.Partition,msg.Offset, string(msg.Key), string(msg.Value)) //fmt.Println() err = sendToES(kafkaClient.topic,msg.Value) if err != nil { logs. Warn( "send to es failed,err:%v",err) } } kafkaClient.wg. Done() }(pc) } kafkaClient.wg. Wait() fmt. Println( "协程执行完毕") return} |
上面代码是读kafka消费数据通过sendToES这个函数发送至ES里面
sendToES代码如下
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func sendToES(topic string,data [] byte) (err error) { msg := &LogMessage{} msg.Topic = topic msg.Message = string(data) _, err = esClient. Index(). Index(topic). Type(topic). BodyJson(msg). Do() if err != nil { return } return} |
Index就是索引名称
index().type().bodyjson().do()这样的写法是链式执行操作
9.写完了基本操作后 再写一个模拟写入数据进kafka的数据 代码如下
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func main() {config := sarama. NewConfig()config.Producer.RequiredAcks = sarama.WaitForAllconfig.Producer.Partitioner = sarama.NewRandomPartitionerconfig.Producer.Return.Successes = trueclient, err := sarama. NewSyncProducer([] string{ "127.0.0.1:9092"}, config)if err != nil {fmt. Println( "producer close,err:", err)return}defer client. Close()var n int= 0for {n++msg := &sarama.ProducerMessage{}msg.Topic = "nginx_log"msg.Value = sarama. StringEncoder( "this is a good test,hello maomaoChong!!," + strconv. Itoa(n))pid, offset, err := client. SendMessage(msg)if err != nil {fmt. Println( "send message failed,", err)return}fmt. Printf( "pid:%v offset:%v \n ", pid, offset)time. Sleep(time.Second * 2)}} |
这个就是生产者往kafka里面写入数据进去消费
10.我们启动我们的kafka 注意kafka依赖于zookeeper 先启动ZK然后启动kafka
我这里用的是zookeeper-3.4.12网上有下载
启动ZK
ZK已经成功启动
11.启动kafka 我这里是kafka_2.11-1.1.0
.\bin\windows\kafka-server-start.bat .\config\server.properties
kafka已经跑起来了
12.把kafka消费测试端也启动
.\bin\windows\kafka-console-consumer.bat --topic nginx_log --zookeeper 127.0.0.1 2181
消费端启动成功 一直等待数据进来消费
13.然后我们把ES 和Kib 都启动了
这是我们的ES版本是5.5.1的 已经跑起来了 接着启动我们的kib
kib里面有个配置config下面的叫kibana.yml里面设置好ES的地址和端口就处于监听ES状态
启动kib有点慢 稍微等一下就好
此时启动好了kib
14.测试kib是否启动
默认地址是http://localhost:5601
进入成功 确定没问题
15.编译我们的代码 写数据进kafka
从上面看我们知道一个再写 一个再消费
16.编译运行我们把kafka写入进ES里面的代码
运行了 这里就把kafka消费的数据 写入进ES里面
17.我们看一下数据是否有 进入kib
我们看到有数据了 已经成功了~
以上为个人经验，希望能给大家一个参考，也希望大家多多支持服务器之家。如有错误或未考虑完全的地方，望不吝赐教。
原文链接：https://blog.csdn.net/u011459340/article/details/80938466
