Golang操作Kafka的实现示例
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()
}
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