Install dependency packages
Use the third-party library go-redis in Go language
go-redis supports connecting to Sentinel and cluster mode Redis.
Use the following command to download and install:
go get -u github.com/go-redis/redis/v8
Connect redis
Create a new go
file and introduce it into the projectgithub.com/go -redis/redis/v8
,
Initializationredis.Client
, without further ado, let’s go directly to the code.
package main import ( "context" "fmt" "github.com/go-redis/redis/v8" ) // 定义一个全局变量 var redisdb *redis.Client var ctx = context.Background() func initRedis()(err error){ redisdb = redis.NewClient(&redis.Options{ Addr: "127.0.0.1:6379", // 指定 Password: "", DB:0, // redis一共16个库,指定其中一个库即可 }) _,err = redisdb.Ping(ctx).Result() return } func main() { err := initRedis() if err != nil { fmt.Printf("connect redis failed! err : %v\n",err) return } fmt.Println("redis连接成功!") }
Note: The latest version of the go-redis
library related commands need to pass the context.Context
parameter.
redis connection pool
You can operate redis through golang, and you can also use the redis connection pool. The process is as follows:
(1) Initialize a certain number of connections in advance and invest in the connection Pool;
(2) When go needs to operate redis, just take out the connection directly from the connection pool;
(3) This can save the time to temporarily obtain redis, thereby improving efficiency;
go-redis
The module comes with a connection pool. All parameters are optional. Examples of parameter configuration instructions are as follows:
redisdb = redis.NewClient(&redis.Options{ Addr: "127.0.0.1:6379", // 指定 Password: "", DB:0, // redis一共16个库,指定其中一个库即可 //连接池容量及闲置连接数量 PoolSize: 15, // 连接池最大socket连接数,默认为4倍CPU数, 4 * runtime.NumCPU MinIdleConns: 10, //在启动阶段创建指定数量的Idle连接,并长期维持idle状态的连接数不少于指定数量;。 //超时 DialTimeout: 5 * time.Second, //连接建立超时时间,默认5秒。 ReadTimeout: 3 * time.Second, //读超时,默认3秒, -1表示取消读超时 WriteTimeout: 3 * time.Second, //写超时,默认等于读超时 PoolTimeout: 4 * time.Second, //当所有连接都处在繁忙状态时,客户端等待可用连接的最大等待时长,默认为读超时+1秒。 //闲置连接检查包括IdleTimeout,MaxConnAge IdleCheckFrequency: 60 * time.Second, //闲置连接检查的周期,默认为1分钟,-1表示不做周期性检查,只在客户端获取连接时对闲置连接进行处理。 IdleTimeout: 5 * time.Minute, //闲置超时,默认5分钟,-1表示取消闲置超时检查 MaxConnAge: 0 * time.Second, //连接存活时长,从创建开始计时,超过指定时长则关闭连接,默认为0,即不关闭存活时长较长的连接 //命令执行失败时的重试策略 MaxRetries: 0, // 命令执行失败时,最多重试多少次,默认为0即不重试 MinRetryBackoff: 8 * time.Millisecond, //每次计算重试间隔时间的下限,默认8毫秒,-1表示取消间隔 MaxRetryBackoff: 512 * time.Millisecond, //每次计算重试间隔时间的上限,默认512毫秒,-1表示取消间隔 //可自定义连接函数 Dialer: func(ctx context.Context, network, addr string) (net.Conn, error) { netDialer := &net.Dialer{ Timeout: 5 * time.Second, KeepAlive: 5 * time.Minute, } return netDialer.Dial("tcp", "127.0.0.1:6379") }, //钩子函数 OnConnect: func(ctx context.Context, conn *redis.Conn) error { //仅当客户端执行命令时需要从连接池获取连接时,如果连接池需要新建连接时则会调用此钩子函数 fmt.Printf("conn=%v\n", conn) return nil }, })
The above is the detailed content of How to use Redis in Go language. For more information, please follow other related articles on the PHP Chinese website!

Redis is a NoSQL database suitable for efficient storage and access of large-scale data. 1.Redis is an open source memory data structure storage system that supports multiple data structures. 2. It provides extremely fast read and write speeds, suitable for caching, session management, etc. 3.Redis supports persistence and ensures data security through RDB and AOF. 4. Usage examples include basic key-value pair operations and advanced collection deduplication functions. 5. Common errors include connection problems, data type mismatch and memory overflow, so you need to pay attention to debugging. 6. Performance optimization suggestions include selecting the appropriate data structure and setting up memory elimination strategies.

The applications of Redis in the real world include: 1. As a cache system, accelerate database query, 2. To store the session data of web applications, 3. To implement real-time rankings, 4. To simplify message delivery as a message queue. Redis's versatility and high performance make it shine in these scenarios.

Redis stands out because of its high speed, versatility and rich data structure. 1) Redis supports data structures such as strings, lists, collections, hashs and ordered collections. 2) It stores data through memory and supports RDB and AOF persistence. 3) Starting from Redis 6.0, multi-threaded I/O operations have been introduced, which has improved performance in high concurrency scenarios.

RedisisclassifiedasaNoSQLdatabasebecauseitusesakey-valuedatamodelinsteadofthetraditionalrelationaldatabasemodel.Itoffersspeedandflexibility,makingitidealforreal-timeapplicationsandcaching,butitmaynotbesuitableforscenariosrequiringstrictdataintegrityo

Redis improves application performance and scalability by caching data, implementing distributed locking and data persistence. 1) Cache data: Use Redis to cache frequently accessed data to improve data access speed. 2) Distributed lock: Use Redis to implement distributed locks to ensure the security of operation in a distributed environment. 3) Data persistence: Ensure data security through RDB and AOF mechanisms to prevent data loss.

Redis's data model and structure include five main types: 1. String: used to store text or binary data, and supports atomic operations. 2. List: Ordered elements collection, suitable for queues and stacks. 3. Set: Unordered unique elements set, supporting set operation. 4. Ordered Set (SortedSet): A unique set of elements with scores, suitable for rankings. 5. Hash table (Hash): a collection of key-value pairs, suitable for storing objects.

Redis's database methods include in-memory databases and key-value storage. 1) Redis stores data in memory, and reads and writes fast. 2) It uses key-value pairs to store data, supports complex data structures such as lists, collections, hash tables and ordered collections, suitable for caches and NoSQL databases.

Redis is a powerful database solution because it provides fast performance, rich data structures, high availability and scalability, persistence capabilities, and a wide range of ecosystem support. 1) Extremely fast performance: Redis's data is stored in memory and has extremely fast read and write speeds, suitable for high concurrency and low latency applications. 2) Rich data structure: supports multiple data types, such as lists, collections, etc., which are suitable for a variety of scenarios. 3) High availability and scalability: supports master-slave replication and cluster mode to achieve high availability and horizontal scalability. 4) Persistence and data security: Data persistence is achieved through RDB and AOF to ensure data integrity and reliability. 5) Wide ecosystem and community support: with a huge ecosystem and active community,


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

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

Hot Article

Hot Tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

Atom editor mac version download
The most popular open source editor

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

Zend Studio 13.0.1
Powerful PHP integrated development environment