golang连接kafka消费进ES操作

脚本专栏 2024/11/1 佚名

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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

github.com/astaxie/beego/config
[logs]
log_level = debug
log_path = "./logs/log_transfer.log"
[kafka]
server_addr = 192.168.0.134:9092
topic = nginx_log
[ES]
addr = http://192.168.0.134:9200/

2.读取conf配置存取进结构体

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

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

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

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

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

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

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

func main() {
config := sarama. NewConfig()
config.Producer.RequiredAcks = sarama.WaitForAll
config.Producer.Partitioner = sarama.NewRandomPartitioner
config.Producer.Return.Successes = true
client, 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= 0
for {
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