一.使用库说明
二.Kafka Producer发送消息
三.Kafka Consumer消费消息
一.使用库说明Golang中连接kafka可以使用第三方库:github.com/Shopify/sarama
二.Kafka Producer发送消息package main
import (
"fmt"
"github.com/Shopify/sarama"
)
func main() {
config := sarama.NewConfig()
config.Producer.RequiredAcks = sarama.WaitForAll // 发送完数据需要leader和follower都确认
config.Producer.Partitioner = sarama.NewRandomPartitioner //写到随机分区中,我们默认设置32个分区
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 = "task"
msg.Value = sarama.StringEncoder("producer kafka messages...")
// 连接kafka
client, err := sarama.NewSyncProducer([]string{"192.20.216.8:9092"}, config)
if err != nil {
fmt.Println("Producer closed, err:", err)
return
}
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\n", pid, offset)
}
三.Kafka Consumer消费消息
package main
import (
"fmt"
"github.com/Shopify/sarama"
"sync"
)
func main() {
var wg sync.WaitGroup
consumer, err := sarama.NewConsumer([]string{"192.20.216.8:9092"}, nil)
if err != nil {
fmt.Println("Failed to start consumer: %s", err)
return
}
partitionList, err := consumer.Partitions("task-status-data") // 通过topic获取到所有的分区
if err != nil {
fmt.Println("Failed to get the list of partition: ", err)
return
}
fmt.Println(partitionList)
for partition := range partitionList{ // 遍历所有的分区
pc, err := consumer.ConsumePartition("task", int32(partition), sarama.OffsetNewest) // 针对每个分区创建一个分区消费者
if err != nil {
fmt.Println("Failed to start consumer for partition %d: %s\n", partition, err)
}
wg.Add(1)
go func(sarama.PartitionConsumer) { // 为每个分区开一个go协程取值
for msg := range pc.Messages() { // 阻塞直到有值发送过来,然后再继续等待
fmt.Printf("Partition:%d, Offset:%d, key:%s, value:%s\n", msg.Partition, msg.Offset, string(msg.Key), string(msg.Value))
}
defer pc.AsyncClose()
wg.Done()
}(pc)
}
wg.Wait()
consumer.Close()
}
到此这篇关于Golang操作Kafka的实现示例的文章就介绍到这了,更多相关Golang操作Kafka内容请搜索软件开发网以前的文章或继续浏览下面的相关文章希望大家以后多多支持软件开发网!