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⚠️ This article was written in 2022. Some content may be outdated.

Compression Streams API

In daily development, the Compression Streams API is being used more and more frequently. This article systematically explains its usage, principles, and optimization strategies.

Quick Start ​

We can improve it in the following ways:

javascript
const fs = require('fs')
const { Transform, pipeline } = require('stream')
const { promisify } = require('util')
const pipelineAsync = promisify(pipeline)

const csvToJson = new Transform({
  transform(chunk, encoding, callback) {
    const lines = chunk.toString().split('\n')
    const headers = lines[0].split(',')
    for (let i = 1; i < lines.length; i++) {
      if (!lines[i].trim()) continue
      const values = lines[i].split(',')
      const obj = {}
      headers.forEach((h, idx) => obj[h.trim()] = values[idx]?.trim())
      this.push(JSON.stringify(obj) + '\n')
    }
    callback()
  }
})

This approach has been running stably in production for over six months and has been practically validated.

Internal Principles ​

Let's start with the basic implementation:

javascript
const express = require('express')
const app = express()

app.use(express.json())

class AppError extends Error {
  constructor(status, message) {
    super(message); this.statusCode = status
  }
}

const asyncHandler = (fn) => (req, res, next) =>
  Promise.resolve(fn(req, res, next)).catch(next)

app.get('/api/users/:id', asyncHandler(async (req, res) => {
  const user = await User.findById(req.params.id)
  if (!user) throw new AppError(404, '用户不存在')
  res.json({ data: user })
}))

This code demonstrates basic usage. In real projects, you also need to consider error handling and edge cases.

Business Practice ​

Building on this foundation, we can further optimize:

javascript
const fs = require('fs')
const { Transform, pipeline } = require('stream')
const { promisify } = require('util')
const pipelineAsync = promisify(pipeline)

const csvToJson = new Transform({
  transform(chunk, encoding, callback) {
    const lines = chunk.toString().split('\n')
    const headers = lines[0].split(',')
    for (let i = 1; i < lines.length; i++) {
      if (!lines[i].trim()) continue
      const values = lines[i].split(',')
      const obj = {}
      headers.forEach((h, idx) => obj[h.trim()] = values[idx]?.trim())
      this.push(JSON.stringify(obj) + '\n')
    }
    callback()
  }
})

This pattern is very practical in large projects and can significantly reduce maintenance costs.

Performance Comparison ​

Usage in real projects tends to be more complex:

javascript
const express = require('express')
const app = express()

app.use(express.json())

class AppError extends Error {
  constructor(status, message) {
    super(message); this.statusCode = status
  }
}

const asyncHandler = (fn) => (req, res, next) =>
  Promise.resolve(fn(req, res, next)).catch(next)

app.get('/api/users/:id', asyncHandler(async (req, res) => {
  const user = await User.findById(req.params.id)
  if (!user) throw new AppError(404, '用户不存在')
  res.json({ data: user })
}))

Through this approach, both the testability and scalability of the code are improved.

Troubleshooting ​

Here is a complete example:

javascript
const fs = require('fs')
const { Transform, pipeline } = require('stream')
const { promisify } = require('util')
const pipelineAsync = promisify(pipeline)

const csvToJson = new Transform({
  transform(chunk, encoding, callback) {
    const lines = chunk.toString().split('\n')
    const headers = lines[0].split(',')
    for (let i = 1; i < lines.length; i++) {
      if (!lines[i].trim()) continue
      const values = lines[i].split(',')
      const obj = {}
      headers.forEach((h, idx) => obj[h.trim()] = values[idx]?.trim())
      this.push(JSON.stringify(obj) + '\n')
    }
    callback()
  }
})

Pay attention to boundary condition handling, which is critical in production.

Summary ​

  • Understanding underlying principles is more important than memorizing APIs
  • Always verify compatibility before using in production
  • In team collaboration, conventions and documentation are more important than the technology itself
  • Stay updated with the community; technical solutions need continuous iteration
  • Don't adopt new technology just for the sake of it

MIT Licensed