Home Backend Development Golang Go language document analysis: sync.Map function implements concurrent and safe mapping

Go language document analysis: sync.Map function implements concurrent and safe mapping

Nov 04, 2023 am 09:24 AM
go language Document parsing syncmap

Go language document analysis: sync.Map function implements concurrent and safe mapping

Go language is a programming language that has become very popular among front-end developers in recent years. Among them, the sync.Map function is designed to achieve concurrency-safe mapping, which can help developers solve data access problems that occur under high concurrency. This article will introduce how to use the sync.Map function and provide specific code examples.

1. Overview of sync.Map function

The sync.Map function is a concurrent and safe mapping type in the Go language standard library. It can be used for data sharing between multiple coroutines (ie Goroutine) to achieve thread-safe data access. In high concurrency scenarios, using the sync.Map function can effectively improve the concurrent processing capabilities of the program and avoid program crashes due to data access problems.

2. How to use the sync.Map function

When using the sync.Map function, we need to initialize it first. The initialization code is as follows:

var map1 sync.Map
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Next, we can use the following method to operate on the sync.Map object:

  1. Store method

This method Used to put key-value pairs into a sync.Map object. The sample code is as follows:

map1.Store("key1","value1")
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  1. Load method

This method is used to obtain the corresponding value from the sync.Map object based on the specified key. The sample code is as follows:

value,ok := map1.Load("key1")
if ok {
    //值存在
    fmt.Println(value)
} else {
    //值不存在
    fmt.Println("key1 not found")
}
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  1. LoadOrStore method

This method is used to first try to get the value from the sync.Map object. If it does not exist, the specified key-value pair will be used. Save object. The sample code is as follows:

value,ok := map1.LoadOrStore("key2","value2")
    if ok {
        //值存在
        fmt.Println(value)
    } else {
        //值不存在
        fmt.Println("key2 not found")
    }
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  1. Delete method

This method is used to delete the key-value pair specified in the sync.Map object. The sample code is as follows:

map1.Delete("key1")
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  1. Range method

This method is used to traverse all key-value pairs in the sync.Map object. Its first parameter is a function that operates on key-value pairs. The sample code is as follows:

map1.Range(func(key, value interface{}) bool {
        fmt.Printf("key:%v, value:%v
", key, value)
        return true
    })
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3. Code example

The following is a complete sample code that demonstrates how to use the sync.Map function to implement concurrent and safe mapping. The specific code is as follows:

package main

import (
    "fmt"
    "sync"
)

func main() {
    var map1 sync.Map

    //添加键值对
    map1.Store("key1", "value1")
    map1.Store("key2", "value2")
    map1.Store("key3", "value3")

    //获取指定键的值
    value, ok := map1.Load("key1")
    if ok {
        fmt.Println(value)
    } else {
        fmt.Println("key1 not found")
    }

    //获取不存在的键的值
    value, ok = map1.Load("key4")
    if ok {
        fmt.Println(value)
    } else {
        fmt.Println("key4 not found")
    }

    //尝试获取不存在的键的值时,存入指定的键值对
    value, ok = map1.LoadOrStore("key4", "value4")
    if ok {
        fmt.Println(value)
    } else {
        fmt.Println("key4 not found")
    }

    //获取删除之前的值
    value, ok = map1.Load("key4")
    if ok {
        fmt.Println(value)
    } else {
        fmt.Println("key4 not found")
    }

    //删除指定的键值对
    map1.Delete("key4")

    //遍历所有键值对
    map1.Range(func(key, value interface{}) bool {
        fmt.Printf("key:%v, value:%v
", key, value)
        return true
    })
}
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The above code demonstrates the use of multiple methods of the sync.Map function, including Store, Load, LoadOrStore, Delete and Range. In high-concurrency scenarios, these methods can help developers better implement concurrent and safe mapping operations, improve the program's concurrent processing capabilities, and avoid program crashes due to data access.

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