在以前的文章kafka初探go和C#的实现里面我们用了sarama来消费kafka的消息,但是很遗憾它没有group的概念。没办法 我们只能用sarama-cluster来实现, 注意sarama版本不要太新否则有错误panic: non-positive interval for NewTicker 问题处理,建议大家可以修改go.mod文件如下:
require ( github.com/Shopify/sarama v1.24.1 github.com/bsm/sarama-cluster v2.1.15+incompatible )
测试代码如下:
package main import ( "fmt" "log" "os" "os/signal" _ "regexp" "time" "github.com/Shopify/sarama" cluster "github.com/bsm/sarama-cluster" ) var Address = []string{"192.168.100.30:9092"} var Topic = "gavintest" //panic: non-positive interval for NewTicker // 修改go.mod //github.com/Shopify/sarama v1.24.1 // github.com/bsm/sarama-cluster v2.1.15+incompatible //修改 /** 消费者 */ func main() { go syncConsumer("demo1") go syncConsumer("demo2") go syncProducer() select {} } func syncConsumer(groupName string) { config := cluster.NewConfig() config.Consumer.Return.Errors = true config.Group.Return.Notifications = true // init consumer //可以订阅多个主题 topics := []string{Topic} consumer, err := cluster.NewConsumer(Address, groupName, topics, config) if err != nil { panic(err) } //这里需要注意的是defer 一定要在panic 之后才能关闭连接 defer consumer.Close() // trap SIGINT to trigger a shutdown. signals := make(chan os.Signal, 1) signal.Notify(signals, os.Interrupt) // consume errors go func() { for err := range consumer.Errors() { log.Printf("Error: %s ", err.Error()) } }() // consume notifications go func() { for ntf := range consumer.Notifications() { log.Printf("Rebalanced: %+v ", ntf) } }() // 循环从通道中获取message //msg.Topic 消息主题 //msg.Partition 消息分区 //msg.Offset //msg.Key //msg.Value 消息值 for { select { case msg, ok := <-consumer.Messages(): if ok { fmt.Printf("%s receive message %s---Partition:%d, Offset:%d, Key:%s, Value:%s ", groupName, msg.Topic, msg.Partition, msg.Offset, string(msg.Key), string(msg.Value)) consumer.MarkOffset(msg, "") // 上报offset } case err := <-consumer.Errors(): { fmt.Println(fmt.Sprintf("consumer error:%v", err)) } case <-signals: return } } } //同步消息模式 func syncProducer() { //指定配置 config := sarama.NewConfig() // 等待服务器所有副本都保存成功后的响应 config.Producer.RequiredAcks = sarama.WaitForAll // 随机的分区类型:返回一个分区器,该分区器每次选择一个随机分区 config.Producer.Partitioner = sarama.NewRandomPartitioner // 是否等待成功和失败后的响应 config.Producer.Return.Successes = true config.Producer.Timeout = 5 * time.Second producer, err := sarama.NewSyncProducer(Address, config) if err != nil { log.Printf("sarama.NewSyncProducer err, message=%s ", err) return } defer producer.Close() msg := &sarama.ProducerMessage{ Topic: Topic, } var i = 0 for { i++ //将字符串转换为字节数组 msg.Value = sarama.ByteEncoder(fmt.Sprintf("this is a message:%d", i)) //SendMessage:该方法是生产者生产给定的消息 //partition, offset, err := producer.SendMessage(msg) _, _, err := producer.SendMessage(msg) //生产失败的时候返回error if err != nil { fmt.Println(fmt.Sprintf("Send message Fail %v", err)) } //生产成功的时候返回该消息的分区和所在的偏移量 //fmt.Printf("send message Partition = %d, offset=%d ", partition, offset) time.Sleep(time.Second * 5) } }
运行结果:
https://github.com/bsm/sarama-cluster