Home Backend Development Golang Why Does Appending to a Slice in a Loop Affect Other Slices in Go?

Why Does Appending to a Slice in a Loop Affect Other Slices in Go?

Nov 06, 2024 am 04:05 AM

Why Does Appending to a Slice in a Loop Affect Other Slices in Go?

Unexpected Behavior in Slice Append: How to Create Multiple Slices Without Modification Concerns

When manipulating slices in Go code, you may encounter a puzzling issue: appending elements to a slice within a loop and then using the loop result to create new slices can result in the last append overriding the slices from previous appends. This behavior arises because the slices reference the same underlying array values.

Example:

<code class="go">func create(iterations int) []int {
    a := make([]int, 0)
    for i := 0; i < iterations; i++ {
        a = append(a, i)
    }
    return a
}

func sliceFromLoop() {
    i := create(11)
    j := append(i, 100)
    g := append(i, 101)
    h := append(i, 102)
    fmt.Printf("i: %v\nj: %v\ng: %v\nh:%v\n", i, j, g, h)
}</code>
Copy after login

In this example, the sliceFromLoop function creates a slice i and appends different values to it, resulting in the slices j, g, and h. However, all three slices point to the same underlying array, so when the last append modifies the array, it affects all slices.

Solution: Copying Slices for Independent Modifications

The idiomatic way to create multiple slices based on an existing slice and avoid modification concerns is by copying the slice before appending anything. This ensures that each new slice has its own underlying array.

<code class="go">func makeFromSlice(sl []int) []int {
    result := make([]int, len(sl))
    copy(result, sl)
    return result
}</code>
Copy after login

Example Usage:

<code class="go">func main() {
    i := make([]int, 0)
    for ii := 0; ii < 11; ii++ {
        i = append(i, ii)
    }
    j := append(makeFromSlice(i), 100) // works fine
}</code>
Copy after login

In this revised example, we create a copy of the i slice before appending 100 to it. This ensures that j references a separate underlying array and won't be affected by future modifications to i.

Explanation of Slice Literal Behavior

The reason why this issue does not arise with slice literals (e.g., i := []int{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10}) is that a new array is allocated if the append operation would exceed the capacity of the backing array. This behavior is unrelated to slice literals and is a fundamental property of appending to slices.

The above is the detailed content of Why Does Appending to a Slice in a Loop Affect Other Slices 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)

Hot Topics

Java Tutorial
1664
14
PHP Tutorial
1266
29
C# Tutorial
1239
24
Golang's Purpose: Building Efficient and Scalable Systems Golang's Purpose: Building Efficient and Scalable Systems Apr 09, 2025 pm 05:17 PM

Go language performs well in building efficient and scalable systems. Its advantages include: 1. High performance: compiled into machine code, fast running speed; 2. Concurrent programming: simplify multitasking through goroutines and channels; 3. Simplicity: concise syntax, reducing learning and maintenance costs; 4. Cross-platform: supports cross-platform compilation, easy deployment.

Golang vs. Python: Performance and Scalability Golang vs. Python: Performance and Scalability Apr 19, 2025 am 12:18 AM

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Golang and C  : Concurrency vs. Raw Speed Golang and C : Concurrency vs. Raw Speed Apr 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.

Golang's Impact: Speed, Efficiency, and Simplicity Golang's Impact: Speed, Efficiency, and Simplicity Apr 14, 2025 am 12:11 AM

Goimpactsdevelopmentpositivelythroughspeed,efficiency,andsimplicity.1)Speed:Gocompilesquicklyandrunsefficiently,idealforlargeprojects.2)Efficiency:Itscomprehensivestandardlibraryreducesexternaldependencies,enhancingdevelopmentefficiency.3)Simplicity:

Golang vs. Python: Key Differences and Similarities Golang vs. Python: Key Differences and Similarities Apr 17, 2025 am 12:15 AM

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

Golang and C  : The Trade-offs in Performance Golang and C : The Trade-offs in Performance Apr 17, 2025 am 12:18 AM

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.

The Performance Race: Golang vs. C The Performance Race: Golang vs. C Apr 16, 2025 am 12:07 AM

Golang and C each have their own advantages in performance competitions: 1) Golang is suitable for high concurrency and rapid development, and 2) C provides higher performance and fine-grained control. The selection should be based on project requirements and team technology stack.

Golang vs. C  : Performance and Speed Comparison Golang vs. C : Performance and Speed Comparison Apr 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.

See all articles