search
HomeBackend DevelopmentGolangGolang data conversion method: master the core technology of data conversion and easily cope with various scenarios

Golang data conversion method: master the core technology of data conversion and easily cope with various scenarios

Golang data conversion method: Master the core technology of data conversion, easily cope with various scenarios, need specific code examples

In Golang development, data conversion is a very important Common operations. Whether it is converting data format to another format or converting data type to another type, some technical means are required to achieve it. The quality and efficiency of data conversion directly affect the performance and stability of the program. Therefore, it is very important to master the core technology of data conversion.

This article will introduce some commonly used Golang data conversion methods, and use specific code examples to help readers better understand and master these technologies.

1. Conversion between strings and integers

In Golang, conversion between strings and integers is a relatively common operation. The following is a sample code to convert a string to an integer:

package main

import (
    "fmt"
    "strconv"
)

func main() {
    str := "123"
    num, err := strconv.Atoi(str)
    if err != nil {
        fmt.Println("转换失败:", err)
        return
    }
    fmt.Println(num)
}

In the above code, the string can be converted to an integer through the strconv.Atoi function. If the conversion fails, it will Return an error.

Similarly, if you want to convert an integer to a string, you can use the strconv.Itoa function:

package main

import (
    "fmt"
    "strconv"
)

func main() {
    num := 123
    str := strconv.Itoa(num)
    fmt.Println(str)
}

2. Conversion between structure and JSON

In Golang, conversion between structures and JSON is also a relatively common operation. The following is a sample code that converts a structure into a JSON string:

package main

import (
    "encoding/json"
    "fmt"
)

type Person struct {
    Name string `json:"name"`
    Age  int    `json:"age"`
}

func main() {
    person := Person{Name: "Alice", Age: 25}
    jsonStr, err := json.Marshal(person)
    if err != nil {
        fmt.Println("转换失败:", err)
        return
    }
    fmt.Println(string(jsonStr))
}

In the above code, the structure can be converted into a JSON string through the json.Marshal function.

If you want to convert a JSON string into a structure, you can use the json.Unmarshal function:

package main

import (
    "encoding/json"
    "fmt"
)

type Person struct {
    Name string `json:"name"`
    Age  int    `json:"age"`
}

func main() {
    jsonStr := `{"name":"Bob","age":30}`
    var person Person
    err := json.Unmarshal([]byte(jsonStr), &person)
    if err != nil {
        fmt.Println("转换失败:", err)
        return
    }
    fmt.Println(person)
}

3. Interface type assertion

In Golang Interface is a very flexible data type that is often used to implement polymorphism of data. But when using interfaces, sometimes it is necessary to convert the interface into a specific type. At this time, you can use interface type assertion to achieve:

package main

import "fmt"

type Shape interface {
    Area() float64
}

type Circle struct {
    Radius float64
}

func (c Circle) Area() float64 {
    return 3.14 * c.Radius * c.Radius
}

func main() {
    var s Shape
    s = Circle{Radius: 5}
    circle, ok := s.(Circle)
    if !ok {
        fmt.Println("类型断言失败")
        return
    }
    fmt.Println(circle.Area())
}

In the above code, the interface s is converted into a specific type through s.(Circle) Circle, and determine whether the conversion is successful.

Through the above introduction, readers can better understand and master the core technology of data conversion in Golang. After mastering these technologies, readers can easily handle various data conversion scenarios and improve program performance and stability. I hope the content of this article will be helpful to readers.

The above is the detailed content of Golang data conversion method: master the core technology of data conversion and easily cope with various scenarios. For more information, please follow other related articles on the PHP Chinese website!

Statement
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
Golang vs. Python: The Pros and ConsGolang vs. Python: The Pros and ConsApr 21, 2025 am 12:17 AM

Golangisidealforbuildingscalablesystemsduetoitsefficiencyandconcurrency,whilePythonexcelsinquickscriptinganddataanalysisduetoitssimplicityandvastecosystem.Golang'sdesignencouragesclean,readablecodeanditsgoroutinesenableefficientconcurrentoperations,t

Golang and C  : Concurrency vs. Raw SpeedGolang and C : Concurrency vs. Raw SpeedApr 21, 2025 am 12:16 AM

Golang is better than C in concurrency, while C is better than Golang in raw speed. 1) Golang achieves efficient concurrency through goroutine and channel, which is suitable for handling a large number of concurrent tasks. 2)C Through compiler optimization and standard library, it provides high performance close to hardware, suitable for applications that require extreme optimization.

Why Use Golang? Benefits and Advantages ExplainedWhy Use Golang? Benefits and Advantages ExplainedApr 21, 2025 am 12:15 AM

Reasons for choosing Golang include: 1) high concurrency performance, 2) static type system, 3) garbage collection mechanism, 4) rich standard libraries and ecosystems, which make it an ideal choice for developing efficient and reliable software.

Golang vs. C  : Performance and Speed ComparisonGolang vs. C : Performance and Speed ComparisonApr 21, 2025 am 12:13 AM

Golang is suitable for rapid development and concurrent scenarios, and C is suitable for scenarios where extreme performance and low-level control are required. 1) Golang improves performance through garbage collection and concurrency mechanisms, and is suitable for high-concurrency Web service development. 2) C achieves the ultimate performance through manual memory management and compiler optimization, and is suitable for embedded system development.

Is Golang Faster Than C  ? Exploring the LimitsIs Golang Faster Than C ? Exploring the LimitsApr 20, 2025 am 12:19 AM

Golang performs better in compilation time and concurrent processing, while C has more advantages in running speed and memory management. 1.Golang has fast compilation speed and is suitable for rapid development. 2.C runs fast and is suitable for performance-critical applications. 3. Golang is simple and efficient in concurrent processing, suitable for concurrent programming. 4.C Manual memory management provides higher performance, but increases development complexity.

Golang: From Web Services to System ProgrammingGolang: From Web Services to System ProgrammingApr 20, 2025 am 12:18 AM

Golang's application in web services and system programming is mainly reflected in its simplicity, efficiency and concurrency. 1) In web services, Golang supports the creation of high-performance web applications and APIs through powerful HTTP libraries and concurrent processing capabilities. 2) In system programming, Golang uses features close to hardware and compatibility with C language to be suitable for operating system development and embedded systems.

Golang vs. C  : Benchmarks and Real-World PerformanceGolang vs. C : Benchmarks and Real-World PerformanceApr 20, 2025 am 12:18 AM

Golang and C have their own advantages and disadvantages in performance comparison: 1. Golang is suitable for high concurrency and rapid development, but garbage collection may affect performance; 2.C provides higher performance and hardware control, but has high development complexity. When making a choice, you need to consider project requirements and team skills in a comprehensive way.

Golang vs. Python: A Comparative AnalysisGolang vs. Python: A Comparative AnalysisApr 20, 2025 am 12:17 AM

Golang is suitable for high-performance and concurrent programming scenarios, while Python is suitable for rapid development and data processing. 1.Golang emphasizes simplicity and efficiency, and is suitable for back-end services and microservices. 2. Python is known for its concise syntax and rich libraries, suitable for data science and machine learning.

See all articles

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

Atom editor mac version download

Atom editor mac version download

The most popular open source editor

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

mPDF

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),

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.