How to Efficiently Parse Integers from a Byte Buffer in Go?
How to Parse Integers from a Byte Buffer in Go
This code snippet outlines a method for reading and parsing integers from a byte buffer in Go.
func (fs *FileSystem) readSB() { // fs.f is a *os.File buf := make([]byte, 1024) fs.f.ReadAt(buf, 1024) // Offset: type var p *bytes.Buffer // 0: uint32 p = bytes.NewBuffer(buf[0:]) binary.Read(p, binary.LittleEndian, &fs.sb.inodeCount) // 4: uint32 p = bytes.NewBuffer(buf[4:]) binary.Read(p, binary.LittleEndian, &fs.sb.blockCount) // 20: uint32 p = bytes.NewBuffer(buf[20:]) binary.Read(p, binary.LittleEndian, &fs.sb.firstDataBlock) // 24: uint32 p = bytes.NewBuffer(buf[24:]) binary.Read(p, binary.LittleEndian, &fs.sb.blockSize) fs.sb.blockSize = 1024 << fs.sb.blockSize // 32: uint32 p = bytes.NewBuffer(buf[32:]) binary.Read(p, binary.LittleEndian, &fs.sb.blockPerGroup) // 40: uint32 p = bytes.NewBuffer(buf[40:]) binary.Read(p, binary.LittleEndian, &fs.sb.inodePerBlock) }
While this approach is functional, there are alternative methods that may be more efficient or idiomatic.
Avoid Creating New Buffers
To avoid creating a new buffer for each read, you can use .Next() to skip the bytes you don't want to read.
var p *bytes.Buffer // Offset: type p = bytes.NewBuffer(buf) // 0: uint32 binary.Read(p, binary.LittleEndian, &fs.sb.inodeCount) // 4: uint32 binary.Read(p, binary.LittleEndian, &fs.sb.blockCount) // Skip [8:20) p.Next(12) // 20: uint32 binary.Read(p, binary.LittleEndian, &fs.sb.firstDataBlock) // 24: uint32 binary.Read(p, binary.LittleEndian, &fs.sb.blockSize) fs.sb.blockSize = 1024 << fs.sb.blockSize // Skip [28:32) p.Next(4) // 32: uint32 binary.Read(p, binary.LittleEndian, &fs.sb.blockPerGroup) // Skip [36:40) p.Next(4) // 40: uint32 binary.Read(p, binary.LittleEndian, &fs.sb.inodePerBlock)
Use a Header Structure
Alternatively, you can avoid reading chunk by chunk and create a header structure which you read directly using binary.Read.
type Head struct { InodeCount uint32 // 0:4 BlockCount uint32 // 4:8 Unknown1 uint32 // 8:12 Unknown2 uint32 // 12:16 Unknown3 uint32 // 16:20 FirstBlock uint32 // 20:24 BlockSize uint32 // 24:28 Unknown4 uint32 // 28:32 BlocksPerGroup uint32 // 32:36 Unknown5 uint32 // 36:40 InodesPerBlock uint32 // 40:44 } func main() { var header Head // ... binary.Read(file, binary.LittleEndian, &header) // ... }
The above is the detailed content of How to Efficiently Parse Integers from a Byte Buffer in Go?. For more information, please follow other related articles on the PHP Chinese website!

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

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

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 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 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 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 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.

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

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.

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.
