go操作kafka
Kafka是一种高吞吐量的分布式发布订阅消息系统,它可以处理消费者规模的网站中的所有动作流数据,具有高性能、持久化、多副本备份、横向扩展等特点。本文介绍了如何使用Go语言发送和接收kafka消息。
sarama
Go语言中连接kafka使用第三方库:github.com/Shopify/sarama。
下载及安装
go get github.com/Shopify/sarama
注意事项
sarama
v1.20之后的版本加入了zstd
压缩算法,需要用到cgo,在Windows平台编译时会提示类似如下错误:
# github.com/DataDog/zstd
exec: "gcc":executable file not found in %PATH%
所以在Windows平台请使用v1.19版本的sarama。
连接kafka发送消息
package main
import (
"fmt"
"github.com/Shopify/sarama"
)
// 基于sarama第三方库开发的kafka client
func main() {
config := sarama.NewConfig()
config.Producer.RequiredAcks = sarama.WaitForAll // 发送完数据需要leader和follow都确认
config.Producer.Partitioner = sarama.NewRandomPartitioner // 新选出一个partition
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 = "web_log"
msg.Value = sarama.StringEncoder("this is a test log")
// 连接kafka
client, err := sarama.NewSyncProducer([]string{"192.168.1.7:9092"}, 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)
}
连接kafka消费消息
package main
import (
"fmt"
"github.com/Shopify/sarama"
)
// kafka consumer
func main() {
consumer, err := sarama.NewConsumer([]string{"127.0.0.1:9092"}, nil)
if err != nil {
fmt.Printf("fail to start consumer, err:%v\n", err)
return
}
partitionList, err := consumer.Partitions("web_log") // 根据topic取到所有的分区
if err != nil {
fmt.Printf("fail to get list of partition:err%v\n", err)
return
}
fmt.Println(partitionList)
for partition := range partitionList { // 遍历所有的分区
// 针对每个分区创建一个对应的分区消费者
pc, err := consumer.ConsumePartition("web_log", int32(partition), sarama.OffsetNewest)
if err != nil {
fmt.Printf("failed to start consumer for partition %d,err:%v\n", partition, err)
return
}
defer pc.AsyncClose()
// 异步从每个分区消费信息
go func(sarama.PartitionConsumer) {
for msg := range pc.Messages() {
fmt.Printf("Partition:%d Offset:%d Key:%v Value:%v", msg.Partition, msg.Offset, msg.Key, msg.Value)
}
}(pc)
}
select{}
}
//一个问题,上一条信息长,下一条信息端短,显示有问题
package main
import (
"fmt"
"os"
"os/exec"
"runtime"
"github.com/Shopify/sarama"
)
//go清空终端操作
var clear map[string]func() //create a map for storing clear funcs
func init() {
clear = make(map[string]func()) //Initialize it
clear["linux"] = func() {
cmd := exec.Command("clear") //Linux example, its tested
cmd.Stdout = os.Stdout
cmd.Run()
}
clear["windows"] = func() {
cmd := exec.Command("cmd", "/c", "cls") //Windows example, its tested
cmd.Stdout = os.Stdout
cmd.Run()
}
}
func CallClear() {
value, ok := clear[runtime.GOOS] //runtime.GOOS -> linux, windows, darwin etc.
if ok { //if we defined a clear func for that platform:
value() //we execute it
} else { //unsupported platform
panic("Your platform is unsupported! I can't clear terminal screen :(")
}
}
// kafka consumer
func main() {
consumer, err := sarama.NewConsumer([]string{"127.0.0.1:9092"}, nil)
if err != nil {
fmt.Printf("fail to start consumer, err:%v\n", err)
return
}
partitionList, err := consumer.Partitions("web_log") // 根据topic取到所有的分区
if err != nil {
fmt.Printf("fail to get list of partition:err%v\n", err)
return
}
fmt.Println("分区列表",partitionList)
for partition := range partitionList { // 遍历所有的分区
// 针对每个分区创建一个对应的分区消费者
pc, err := consumer.ConsumePartition("web_log", int32(partition), sarama.OffsetNewest)
if err != nil {
fmt.Printf("failed to start consumer for partition %d,err:%v\n", partition, err)
return
}
defer pc.AsyncClose()
// 异步从每个分区消费信息
go func(sarama.PartitionConsumer) {
for msg := range pc.Messages() {
CallClear()
fmt.Printf("Partition:%d Offset:%d Key:%v Value:%v", msg.Partition, msg.Offset, msg.Key, string(msg.Value))
}
}(pc)
}
select {
}
}
增加了清空终端的代码,不过,会有点延迟。
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