Go异步任务解决方案之Asynq库详解

version: '3.8'
services:
  myredis:
    container_name: myredis
    image: redis:6.2.5 #6.0.6
    restart: always
    ports:
      - 6379:6379
    privileged: true
    environment:
      # 时区上海
      TZ: Asia/Shanghai
    command: redis-server /etc/redis/redis.conf --appendonly yes
    volumes:
      - $PWD/data:/data
      - $PWD/conf/redis.conf:/etc/redis/redis.conf
   # networks:
    #  - myWEB

#networks:
 # myweb:
  #  driver: bridge

#开启保护
protected-mode yes
#开启远程连接 
#bind 127.0.0.1 
#自定义密码
requirepass 123456 
port 6379
timeout 0
# 900s内至少一次写操作则执行bgsave进行RDB持久化
save 900 1 
save 300 10
save 60 10000
# rdbcompression ；默认值是yes。对于存储到磁盘中的快照，可以设置是否进行压缩存储。如果是的话，redis会采用LZF算法进行压缩。如果你不想消耗CPU来进行压缩的话，可以设置为关闭此功能，但是存储在磁盘上的快照会比较大。
rdbcompression yes
# dbfilename ：设置快照的文件名，默认是 dump.rdb
dbfilename dump.rdb
# dir：设置快照文件的存放路径，这个配置项一定是个目录，而不能是文件名。使用上面的 dbfilename 作为保存的文件名。
dir /data
# 默认redis使用的是rdb方式持久化，这种方式在许多应用中已经足够用了。但是redis如果中途宕机，会导致可能有几分钟的数据丢失，根据save来策略进行持久化，Append Only File是另一种持久化方式， 可以提供更好的持久化特性。Redis会把每次写入的数据在接收后都写入appendonly.aof文件，每次启动时Redis都会先把这个文件的数据读入内存里，先忽略RDB文件。默认值为no。
appendonly yes
# appendfilename ：aof文件名，默认是"appendonly.aof"
# appendfsync：aof持久化策略的配置；no表示不执行fsync，由操作系统保证数据同步到磁盘，速度最快；always表示每次写入都执行fsync，以保证数据同步到磁盘；everysec表示每秒执行一次fsync，可能会导致丢失这1s数据
appendfsync everysec

asynq.RedisClientOpt{
	Addr:     "127.0.0.1:6379",
	PassWord: "",
	DB:       2,
}

type Task struct {
	// 一个简单的字符串值，表示要执行的任务的类型.
	typename string

	// 有效载荷保存执行任务所需的数据，有效负载值必须是可序列化的.
	payload []byte

	// 保存任务的选项.
	opts []Option

	// 任务的结果编写器.
	w *ResultWriter
}

package test_delivery

import (
	"context"
	"encoding/JSON"
	"fmt"
	"github.com/hibiken/asynq"
	"log"
)

const (
	TypeEmailDelivery = "email:deliver"
)

// EmailDeliveryPayload 异步任务需要传递的数据结构
type EmailDeliveryPayload struct {
	UserID     int
	TemplateID string
	DataStr    string
}

// NewEmailDeliveryTask 异步任务需要传递的数据
func NewEmailDeliveryTask(userID int, tmplID, dataStr string) (*asynq.Task, error) {
	payload, err := json.Marshal(EmailDeliveryPayload{UserID: userID, TemplateID: tmplID, DataStr: dataStr})
	if err != nil {
		fmt.Println(err)
		return nil, err
	}
	return asynq.NewTask(TypeEmailDelivery, payload), nil
}

// HandleEmailDeliveryTask 发送email处理逻辑
func HandleEmailDeliveryTask(ctx context.Context, t *asynq.Task) error {
	//接收任务数据
	var p EmailDeliveryPayload
	if err := json.Unmarshal(t.Payload(), &p); err != nil {
		return fmt.Errorf("json.Unmarshal failed: %v: %w", err, asynq.SkipRetry)
	}
	//逻辑处理start...
	log.Printf("Sending Email to User: user_id=%d, template_id=%s data_str:%s", p.UserID, p.TemplateID, p.DataStr)
	return nil
}

package client

import (
	"asynq_task/test_delivery"
	"fmt"
	"github.com/hibiken/asynq"
	"log"
	"time"
)

func EmailDeliveryTaskAdd(i int) {
	client := asynq.NewClient(asynq.RedisClientOpt{
		Addr:     "192.168.0.120:6379",
		Password: "123456",
		DB:       2,
	})
	defer client.Close()

	// 初使货需要传递的数据
	task, err := test_delivery.NewEmailDeliveryTask(42, fmt.Sprintf("some:template:id:%d", i), `{"name":"lisi"}`)
	if err != nil {
		log.Fatalf("could not create task: %v", err)
	}
	// 任务入队
	//info, err := client.Enqueue(task)

	//info, err := client.Enqueue(task, time.Now())
	// 延迟执行
	info, err := client.Enqueue(task, asynq.ProcessIn(3*time.Second))
	// MaxRetry 重度次数 Timeout超时时间
	//info, err = client.Enqueue(task, asynq.MaxRetry(10), asynq.Timeout(3*time.Second))
	if err != nil {
		log.Fatalf("could not enqueue task: %v", err)
	}
	log.Printf("enqueued task: id=%s queue=%s", info.ID, info.Queue)
}

package main

import (
	"asynq_task/test_delivery"
	"github.com/hibiken/asynq"
	"log"
)

func main() {
	srv := asynq.NewServer(
		asynq.RedisClientOpt{
			Addr:     "192.168.0.120:6379",
			Password: "123456",
			DB:       2,
		},
		asynq.Config{
			// 每个进程并发执行的worker数量
			Concurrency: 5,
			// Optionally specify multiple queues with different priority.
			Queues: map[string]int{
				"critical": 6,
				"default":  3,
				"low":      1,
			},
			// See the godoc for other configuration options
		},
	)

	mux := asynq.NewServeMux()
	mux.HandleFunc(test_delivery.TypeEmailDelivery, test_delivery.HandleEmailDeliveryTask)

	if err := srv.Run(mux); err != nil {
		log.Fatalf("could not run server: %v", err)
	}
}

package main

import (
	"asynq_task/test_delivery/client"
	"time"
)

func main() {
	for i := 0; i < 3; i++ {
		client.EmailDeliveryTaskAdd(i)
		time.Sleep(time.Second * 3)
	}
}

$ go run main.go 
asynq: pid=12092 2023/02/02 23:18:04.161872 INFO: Starting processing
asynq: pid=12092 2023/02/02 23:18:04.161872 INFO: Send signal TERM or INT to terminate the process
2023/02/03 07:18:14 Sending Email to User: user_id=42, template_id=some:template:id:0 data_str:{"name":"lisi"}
2023/02/03 07:18:19 Sending Email to User: user_id=42, template_id=some:template:id:1 data_str:{"name":"lisi"}
2023/02/03 07:18:19 Sending Email to User: user_id=42, template_id=some:template:id:2 data_str:{"name":"lisi"}

$ go run test.go 
2023/02/03 07:18:09 enqueued task: id=5d998c6b-3978-4a25-a096-6e564e032359 queue=default
2023/02/03 07:18:12 enqueued task: id=74a5fea4-d4d4-465f-b310-31981e472f6a queue=default
2023/02/03 07:18:15 enqueued task: id=41c46b7b-ea78-4abc-878a-ea65e3859e28 queue=default

_, err := client.Enqueue(task, asynq.TaskID("mytaskid"))

// Second task will fail, err is ErrTaskIDConflict (assuming that the first task didn't get processed yet)
_, err = client.Enqueue(task, asynq.TaskID("mytaskid"))

err := c.Enqueue(t1, asynq.Unique(time.Hour))

  #asynqmon asynq延迟队列、定时队列的webui
  asynqmon:
    image: hibiken/asynqmon:latest
    container_name: asynqmon
    ports:
      - 8980:8080
    command:
      - '--redis-addr=192.168.0.120:6379'
      - '--redis-password=123456'
      - '--redis-db=2'
    restart: always
#    networks:
#      - looklook_net
#    depends_on:
#      - redis