Table of Contents
Go-Operation redis
Installation
Connection
Use
Set key expiration time
Get mget in batches and set mset in batches
List operation
hash Operation
Pipelining(Pipelining)
redis publishing subscription mode
Transaction operation
Universal operation
Connect redis
Write
Read
All codes
Home Database Redis How to operate redis and redigo in Go

How to operate redis and redigo in Go

May 30, 2023 pm 09:25 PM
redis go redigo

Go-Operation redis

Installation

There are multiple client packages for golang to operate redis, such as redigo and go-redis. The one with the most stars on github is redigo.

go get github.com/garyburd/redigo/redis
import "github.com/garyburd/redigo/redis"
Copy after login

Connection

The Conn interface is the main interface for collaboration with Redis. You can use the Dial, DialWithTimeout or NewConn function to create a connection. When the task is completed, the application must call the Close function to complete the operation. .

package main
import (
"github.com/garyburd/redigo/redis"
"fmt"
)
func main()  {
    conn,err := redis.Dial("tcp","10.1.210.69:6379")
    if err != nil {
        fmt.Println("connect redis error :",err)
        return
    }
    defer conn.Close()
}
Copy after login

Use

package main
import (
"github.com/garyburd/redigo/redis"
"fmt"
)
func main()  {
    conn,err := redis.Dial("tcp","10.1.210.69:6379")
    if err != nil {
        fmt.Println("connect redis error :",err)
        return
    }
    defer conn.Close()
    _, err = conn.Do("SET", "name", "wd")
    if err != nil {
        fmt.Println("redis set error:", err)
    }
    name, err := redis.String(conn.Do("GET", "name"))
    if err != nil {
        fmt.Println("redis get error:", err)
    } else {
        fmt.Printf("Got name: %s \n", name)
    }
}
Copy after login

Set key expiration time

  _, err = conn.Do("expire", "name", 10) //10秒过期
    if err != nil {
        fmt.Println("set expire error: ", err)
        return
    }
Copy after login

Get mget in batches and set mset in batches

_, err = conn.Do("MSET", "name", "wd","age",22)
    if err != nil {
        fmt.Println("redis mset error:", err)
    }
    res, err := redis.Strings(conn.Do("MGET", "name","age"))
    if err != nil {
        fmt.Println("redis get error:", err)
    } else {
        res_type := reflect.TypeOf(res)
        fmt.Printf("res type : %s \n", res_type)
        fmt.Printf("MGET name: %s \n", res)
        fmt.Println(len(res))
    }
//结果:
//res type : []string 
//MGET name: [wd 22] 
//2
Copy after login

List operation

package main
import (
"github.com/garyburd/redigo/redis"
"fmt"
    "reflect"
)
func main()  {
    conn,err := redis.Dial("tcp","10.1.210.69:6379")
    if err != nil {
        fmt.Println("connect redis error :",err)
        return
    }
    defer conn.Close()
    _, err = conn.Do("LPUSH", "list1", "ele1","ele2","ele3")
    if err != nil {
        fmt.Println("redis mset error:", err)
    }
    res, err := redis.String(conn.Do("LPOP", "list1"))
    if err != nil {
        fmt.Println("redis POP error:", err)
    } else {
        res_type := reflect.TypeOf(res)
        fmt.Printf("res type : %s \n", res_type)
        fmt.Printf("res  : %s \n", res)
    }
}
//res type : string 
//res  : ele3
Copy after login

hash Operation

package main
import (
"github.com/garyburd/redigo/redis"
"fmt"
    "reflect"
)
func main()  {
    conn,err := redis.Dial("tcp","10.1.210.69:6379")
    if err != nil {
        fmt.Println("connect redis error :",err)
        return
    }
    defer conn.Close()
    _, err = conn.Do("HSET", "student","name", "wd","age",22)
    if err != nil {
        fmt.Println("redis mset error:", err)
    }
    res, err := redis.Int64(conn.Do("HGET", "student","age"))
    if err != nil {
        fmt.Println("redis HGET error:", err)
    } else {
        res_type := reflect.TypeOf(res)
        fmt.Printf("res type : %s \n", res_type)
        fmt.Printf("res  : %d \n", res)
    }
}
//res type : int64 
//res  : 22
Copy after login

Pipelining(Pipelining)

By using the three methods Send(), Flush() and Receive(), pipeline operations can be performed in a concurrent manner. The client can use the send() method to send one or more commands to the server at once. When the command is sent, the flush() method is used to send the command input in the buffer to the server at once. The client then uses the Receive() method in sequence. Read all command operation results in first-in, first-out order.

Send(commandName string, args ...interface{}) error
Flush() error
Receive() (reply interface{}, err error)
Copy after login
  • Send: Send the command to the buffer

  • Flush: Clear the buffer and send the command to the server in one go

  • Recevie: Read the server response results in sequence. When the read command does not respond, the operation will block.

package main
import (
"github.com/garyburd/redigo/redis"
"fmt"
)
func main()  {
    conn,err := redis.Dial("tcp","10.1.210.69:6379")
    if err != nil {
        fmt.Println("connect redis error :",err)
        return
    }
    defer conn.Close()
    conn.Send("HSET", "student","name", "wd","age","22")
    conn.Send("HSET", "student","Score","100")
    conn.Send("HGET", "student","age")
    conn.Flush()
    res1, err := conn.Receive()
    fmt.Printf("Receive res1:%v \n", res1)
    res2, err := conn.Receive()
    fmt.Printf("Receive res2:%v\n",res2)
    res3, err := conn.Receive()
    fmt.Printf("Receive res3:%s\n",res3)
}
//Receive res1:0 
//Receive res2:0
//Receive res3:22
Copy after login

redis publishing subscription mode

package main
import (
    "github.com/garyburd/redigo/redis"
    "fmt"
    "time"
)
func Subs() {  //订阅者
    conn, err := redis.Dial("tcp", "10.1.210.69:6379")
    if err != nil {
        fmt.Println("connect redis error :", err)
        return
    }
    defer conn.Close()
    psc := redis.PubSubConn{conn}
    psc.Subscribe("channel1") //订阅channel1频道
    for {
        switch v := psc.Receive().(type) {
        case redis.Message:
            fmt.Printf("%s: message: %s\n", v.Channel, v.Data)
        case redis.Subscription:
            fmt.Printf("%s: %s %d\n", v.Channel, v.Kind, v.Count)
        case error:
            fmt.Println(v)
            return
        }
    }
}
func Push(message string)  { //发布者
    conn, _ := redis.Dial("tcp", "10.1.210.69:6379")
    _,err1 := conn.Do("PUBLISH", "channel1", message)
       if err1 != nil {
             fmt.Println("pub err: ", err1)
                 return
            }

}
func main()  {
    go Subs()
    go Push("this is wd")
    time.Sleep(time.Second*3)
}
//channel1: subscribe 1
//channel1: message: this is wd
Copy after login

Transaction operation

MULTI, EXEC, DISCARD and WATCH are the basis of Redis transactions. Of course we use Go language essentially uses these commands when performing transaction operations on redis.

MULTI: Open transaction

EXEC: Execute transaction

DISCARD: Cancel transaction

WATCH: Monitor key changes in the transaction and cancel once there is a change affairs.

Example:

package main
import (
"github.com/garyburd/redigo/redis"
"fmt"
)
func main()  {
    conn,err := redis.Dial("tcp","10.1.210.69:6379")
    if err != nil {
        fmt.Println("connect redis error :",err)
        return
    }
    defer conn.Close()
    conn.Send("MULTI")
    conn.Send("INCR", "foo")
    conn.Send("INCR", "bar")
    r, err := conn.Do("EXEC")
    fmt.Println(r)
}
//[1, 1]
Copy after login

Universal operation

Connect redis

conn,err := redis.Dial(
  "tcp",
  "10.0.3.100:6379",
  redis.DialPassword("EfcHGSzKqg6cfzWq"),
  redis.DialDatabase(8))
if err != nil {
  fmt.Println("connect redis error :",err)
  return
}
defer conn.Close()
Copy after login

Write

//写入
//_, err = conn.Do("LPUSH", "list1", "ele1","ele2","ele3")
_, err = conn.Do("reids写入方法", "key名字", "内容1","内容2","内容3")
if err != nil {
  fmt.Println("redis set error:", err)
}
Copy after login

Read

//读取
redis.Strings:返回多个
redis.String:返回一个
redis.int:返回统计的数字
//获取集合所有成员
//name, err := redis.Strings(conn.Do("smembers", "beautiful_user"))
// 返回集合成员数
//name, err := redis.Int(conn.Do("scard", "beautiful_user"))
name, err := redis.方法名(conn.Do("redis读取方法", "key名字"))
if err != nil {
  fmt.Println("redis get error:", err)
} else {
  fmt.Printf("Got name: %s \n", name)
}
Copy after login

All codes

package main
import (
	"fmt"
	"github.com/garyburd/redigo/redis"
)
func main()  {
	conn,err := redis.Dial("tcp","10.0.3.100:6379",redis.DialPassword("EfcHGSzKqg6cfzWq"),redis.DialDatabase(8))
	if err != nil {
		fmt.Println("connect redis error :",err)
		return
	}
	defer conn.Close()
	//写入
	_, err = conn.Do("LPUSH", "list1", "ele1","ele2","ele3")
	if err != nil {
		fmt.Println("redis set error:", err)
	}
	//读取
	name, err := redis.Strings(conn.Do("smembers", "beautiful_user"))
	if err != nil {
		fmt.Println("redis get error:", err)
	} else {
		fmt.Printf("Got name: %s \n", name)
	}
}
Copy after login

The above is the detailed content of How to operate redis and redigo in Go. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

How to build the redis cluster mode How to build the redis cluster mode Apr 10, 2025 pm 10:15 PM

Redis cluster mode deploys Redis instances to multiple servers through sharding, improving scalability and availability. The construction steps are as follows: Create odd Redis instances with different ports; Create 3 sentinel instances, monitor Redis instances and failover; configure sentinel configuration files, add monitoring Redis instance information and failover settings; configure Redis instance configuration files, enable cluster mode and specify the cluster information file path; create nodes.conf file, containing information of each Redis instance; start the cluster, execute the create command to create a cluster and specify the number of replicas; log in to the cluster to execute the CLUSTER INFO command to verify the cluster status; make

How to read redis queue How to read redis queue Apr 10, 2025 pm 10:12 PM

To read a queue from Redis, you need to get the queue name, read the elements using the LPOP command, and process the empty queue. The specific steps are as follows: Get the queue name: name it with the prefix of "queue:" such as "queue:my-queue". Use the LPOP command: Eject the element from the head of the queue and return its value, such as LPOP queue:my-queue. Processing empty queues: If the queue is empty, LPOP returns nil, and you can check whether the queue exists before reading the element.

How to clear redis data How to clear redis data Apr 10, 2025 pm 10:06 PM

How to clear Redis data: Use the FLUSHALL command to clear all key values. Use the FLUSHDB command to clear the key value of the currently selected database. Use SELECT to switch databases, and then use FLUSHDB to clear multiple databases. Use the DEL command to delete a specific key. Use the redis-cli tool to clear the data.

How to configure Lua script execution time in centos redis How to configure Lua script execution time in centos redis Apr 14, 2025 pm 02:12 PM

On CentOS systems, you can limit the execution time of Lua scripts by modifying Redis configuration files or using Redis commands to prevent malicious scripts from consuming too much resources. Method 1: Modify the Redis configuration file and locate the Redis configuration file: The Redis configuration file is usually located in /etc/redis/redis.conf. Edit configuration file: Open the configuration file using a text editor (such as vi or nano): sudovi/etc/redis/redis.conf Set the Lua script execution time limit: Add or modify the following lines in the configuration file to set the maximum execution time of the Lua script (unit: milliseconds)

How to use the redis command line How to use the redis command line Apr 10, 2025 pm 10:18 PM

Use the Redis command line tool (redis-cli) to manage and operate Redis through the following steps: Connect to the server, specify the address and port. Send commands to the server using the command name and parameters. Use the HELP command to view help information for a specific command. Use the QUIT command to exit the command line tool.

How to set the redis expiration policy How to set the redis expiration policy Apr 10, 2025 pm 10:03 PM

There are two types of Redis data expiration strategies: periodic deletion: periodic scan to delete the expired key, which can be set through expired-time-cap-remove-count and expired-time-cap-remove-delay parameters. Lazy Deletion: Check for deletion expired keys only when keys are read or written. They can be set through lazyfree-lazy-eviction, lazyfree-lazy-expire, lazyfree-lazy-user-del parameters.

How to optimize the performance of debian readdir How to optimize the performance of debian readdir Apr 13, 2025 am 08:48 AM

In Debian systems, readdir system calls are used to read directory contents. If its performance is not good, try the following optimization strategy: Simplify the number of directory files: Split large directories into multiple small directories as much as possible, reducing the number of items processed per readdir call. Enable directory content caching: build a cache mechanism, update the cache regularly or when directory content changes, and reduce frequent calls to readdir. Memory caches (such as Memcached or Redis) or local caches (such as files or databases) can be considered. Adopt efficient data structure: If you implement directory traversal by yourself, select more efficient data structures (such as hash tables instead of linear search) to store and access directory information

How to implement redis counter How to implement redis counter Apr 10, 2025 pm 10:21 PM

Redis counter is a mechanism that uses Redis key-value pair storage to implement counting operations, including the following steps: creating counter keys, increasing counts, decreasing counts, resetting counts, and obtaining counts. The advantages of Redis counters include fast speed, high concurrency, durability and simplicity and ease of use. It can be used in scenarios such as user access counting, real-time metric tracking, game scores and rankings, and order processing counting.

See all articles