search
HomeBackend DevelopmentGolangGolang file reading operations: tips for reading large files quickly

Golang file reading operations: tips for reading large files quickly

Jan 19, 2024 am 08:33 AM
golanglarge filesfile reading

Golang file reading operations: tips for reading large files quickly

Golang file reading operation: Tips for quickly reading large files, specific code examples are required

In Golang programming, file reading is a very common operate. But when large files need to be read, it is usually a time- and resource-consuming operation. Therefore, how to read large files quickly is a topic worth discussing. This article will introduce how to use Golang's features and some techniques to quickly read large files, and provide specific code examples.

  1. Use bufio to read files

In Golang, the most commonly used file reading is to use the buffered reading operation provided by the bufio package. bufio provides three structures: Reader, Writer and Scanner. Among them, Reader is a structure used for buffered reading. When using Reader to read files, you can set the buffer size and put the read data into the buffer, thereby greatly reducing the number of reads. The code is implemented as follows:

func ReadFileWithBufio(filePath string) ([]byte, error) {
    file, err := os.Open(filePath)
    if err != nil {
        return nil, err
    }
    defer file.Close()

    reader := bufio.NewReader(file)
    buffer := bytes.NewBuffer(make([]byte, 0))
    for {
        line, isPrefix, err := reader.ReadLine()
        buffer.Write(line)
        if err != nil {
            if err == io.EOF {
                break
            }
            return nil, err
        }
        if !isPrefix {
            buffer.WriteString("
")
        }
    }

    return buffer.Bytes(), nil
}

In the above code, the ReadLine() method of bufio.Reader is used to read the file. Read one row of data at a time and determine whether there is subsequent data. If there is subsequent data, continue to read the subsequent data and put it into the buffer. If there is no subsequent data, the read data is put into the buffer and a newline character is added. When the file reading is completed, the data saved in the buffer is returned.

Using the bufio package to read files has the following advantages:

  • You can greatly reduce the number of times you read files by setting the buffer size, thereby improving reading efficiency.
  • Can read files line by line and process them to improve the readability and maintainability of the code.
  1. Use ioutil to read files

The Golang standard library also provides an ioutil package, which contains operations related to file reading. Using the ReadFile() method of the ioutil package, the entire file can be read at once. This method is usually suitable when the size of the file does not exceed a few G, because reading the entire file at one time requires a relatively large memory space. The code is implemented as follows:

func ReadFileWithIOUtil(filePath string) ([]byte, error) {
    data, err := ioutil.ReadFile(filePath)
    if err != nil {
        return nil, err
    }

    return data, nil
}

In the above code, the ReadFile() method of the ioutil package is used to read the entire file. When the file reading is completed, the file content is returned in the []byte type.

The advantages of using the ioutil package to read files are: the code is simple, easy to understand and use. The disadvantage is: when the file size is large, it needs to occupy a large amount of memory space, which can easily cause memory overflow. Therefore, this method is only recommended when reading small files.

  1. Use bufio and goroutine to read in chunks

When the file to be read is very large, or even larger than the memory capacity, use goroutine technology to read in chunks File is probably the best option. The entire file can be divided into multiple blocks and a goroutine is enabled for reading from each block. For example, the following code divides a 1GB file into 100 chunks, each chunk is 10MB in size.

const fileChunk = 10 * (1 << 20) // 10 MB
func ReadFileWithMultiReader(filePath string) ([]byte, error) {
    file, err := os.Open(filePath)
    if err != nil {
        return nil, err
    }
    defer file.Close()

    fileInfo, _ := file.Stat()
    fileSize := fileInfo.Size()

    if fileSize < fileChunk {
        return ioutil.ReadFile(filePath)
    }

    buffer := bytes.NewBuffer(make([]byte, 0))
    chunkSize := int(math.Ceil(float64(fileSize) / float64(100)))

    for i := 0; i < 100; i++ {
        offset := int64(i * chunkSize)
        readSize := int(math.Min(float64(chunkSize), float64(fileSize-int64(i*chunkSize))))
        buf := make([]byte, readSize)
        file.ReadAt(buf, offset)

        go func(b []byte) {
            buffer.Write(b)
        }(buf)
    }
    time.Sleep(time.Millisecond * 100)

    return buffer.Bytes(), nil
}

In the above code, first calculate the size of the file to be read. If the file size is less than 10MB, use ioutil to read the entire file at once, otherwise the file will be divided into 100 blocks. The size of each block is fileSize/100. Then create a loop of 100 goroutines, read the file in chunks one by one, and write the read data into the buffer. Finally, use the time.Sleep() method to complete all goroutine executions and return the data saved in the buffer.

The advantages of using this method to read files are:

  • The memory usage is low and very large files can be read.
  • The code is very friendly to concurrency support and can process multiple blocks of data at the same time.

Summary

Through the introduction of this article, we can see that different techniques can be used to improve file reading efficiency for different file sizes and reading methods. For smaller files, we can use the ioutil package for one-time reading. For larger files, you can use the bufio package for buffered reading, or goroutine for chunked reading. In actual projects, you must choose the most suitable reading method according to the actual situation to improve the performance and reliability of the program.

The above is the detailed content of Golang file reading operations: tips for reading large files quickly. 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
The Performance Race: Golang vs. CThe Performance Race: Golang vs. CApr 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  : Code Examples and Performance AnalysisGolang vs. C : Code Examples and Performance AnalysisApr 15, 2025 am 12:03 AM

Golang is suitable for rapid development and concurrent programming, while C is more suitable for projects that require extreme performance and underlying control. 1) Golang's concurrency model simplifies concurrency programming through goroutine and channel. 2) C's template programming provides generic code and performance optimization. 3) Golang's garbage collection is convenient but may affect performance. C's memory management is complex but the control is fine.

Golang's Impact: Speed, Efficiency, and SimplicityGolang's Impact: Speed, Efficiency, and SimplicityApr 14, 2025 am 12:11 AM

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

C   and Golang: When Performance is CrucialC and Golang: When Performance is CrucialApr 13, 2025 am 12:11 AM

C is more suitable for scenarios where direct control of hardware resources and high performance optimization is required, while Golang is more suitable for scenarios where rapid development and high concurrency processing are required. 1.C's advantage lies in its close to hardware characteristics and high optimization capabilities, which are suitable for high-performance needs such as game development. 2.Golang's advantage lies in its concise syntax and natural concurrency support, which is suitable for high concurrency service development.

Golang in Action: Real-World Examples and ApplicationsGolang in Action: Real-World Examples and ApplicationsApr 12, 2025 am 12:11 AM

Golang excels in practical applications and is known for its simplicity, efficiency and concurrency. 1) Concurrent programming is implemented through Goroutines and Channels, 2) Flexible code is written using interfaces and polymorphisms, 3) Simplify network programming with net/http packages, 4) Build efficient concurrent crawlers, 5) Debugging and optimizing through tools and best practices.

Golang: The Go Programming Language ExplainedGolang: The Go Programming Language ExplainedApr 10, 2025 am 11:18 AM

The core features of Go include garbage collection, static linking and concurrency support. 1. The concurrency model of Go language realizes efficient concurrent programming through goroutine and channel. 2. Interfaces and polymorphisms are implemented through interface methods, so that different types can be processed in a unified manner. 3. The basic usage demonstrates the efficiency of function definition and call. 4. In advanced usage, slices provide powerful functions of dynamic resizing. 5. Common errors such as race conditions can be detected and resolved through getest-race. 6. Performance optimization Reuse objects through sync.Pool to reduce garbage collection pressure.

Golang's Purpose: Building Efficient and Scalable SystemsGolang's Purpose: Building Efficient and Scalable SystemsApr 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.

Why do the results of ORDER BY statements in SQL sorting sometimes seem random?Why do the results of ORDER BY statements in SQL sorting sometimes seem random?Apr 02, 2025 pm 05:24 PM

Confused about the sorting of SQL query results. In the process of learning SQL, you often encounter some confusing problems. Recently, the author is reading "MICK-SQL Basics"...

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

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Chat Commands and How to Use Them
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌

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

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

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),

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.