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⚠️ This article was written in 2021. Some content may be outdated.

React Native 0.64: Hermes Engine

React Native 0.64 Hermes 引擎 is becoming increasingly widespread in frontend development. This article dives into its core principles and best practices from real projects.

Basic Usage

Building on this foundation, we can further optimize:

javascript
import React, { useState, useCallback } from 'react'
import { View, Text, FlatList, TouchableOpacity, StyleSheet } from 'react-native'

const ItemList = ({ data, onRefresh }) => {
  const [refreshing, setRefreshing] = useState(false)
  const handleRefresh = useCallback(async () => {
    setRefreshing(true)
    await onRefresh()
    setRefreshing(false)
  }, [onRefresh])

  const renderItem = useCallback(({ item }) => (
    <TouchableOpacity style={styles.item}>
      <Text style={styles.title}>{item.title}</Text>
    </TouchableOpacity>
  ), [])

  return (
    <FlatList data={data} renderItem={renderItem}
      keyExtractor={item => item.id}
      refreshing={refreshing} onRefresh={handleRefresh} />
  )
}

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

Advanced Usage

实际项目中的用法会更复杂一些:

javascript
import { useRef, useEffect, useState } from 'react'

function useIntersectionObserver(options = {}) {
  const [isVisible, setIsVisible] = useState(false)
  const ref = useRef(null)

  useEffect(() => {
    const observer = new IntersectionObserver(([entry]) => {
      setIsVisible(entry.isIntersecting)
    }, { threshold: 0.1, ...options })
    const el = ref.current
    if (el) observer.observe(el)
    return () => { if (el) observer.unobserve(el) }
  }, [])

  return [ref, isVisible]
}

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

Practical Cases

Here is a complete example:

javascript
import { useReducer, useCallback } from 'react'

const initialState = { items: [], filter: '', sort: 'date' }

function reducer(state, action) {
  switch (action.type) {
    case 'SET_ITEMS': return { ...state, items: action.payload }
    case 'SET_FILTER': return { ...state, filter: action.payload }
    case 'ADD_ITEM': return { ...state, items: [...state.items, action.payload] }
    case 'REMOVE_ITEM': return { ...state, items: state.items.filter(i => i.id !== action.payload) }
    default: throw new Error(`Unknown: ${action.type}`)
  }
}

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

Performance Optimization

The key lies in understanding the core logic:

javascript
import { useState, useEffect, useCallback } from 'react'

function DataList({ endpoint, pageSize = 20 }) {
  const [data, setData] = useState([])
  const [page, setPage] = useState(1)
  const [loading, setLoading] = useState(false)

  const fetchData = useCallback(async () => {
    setLoading(true)
    try {
      const res = await fetch(`${endpoint}?page=${page}&size=${pageSize}`)
      setData(await res.json())
    } finally { setLoading(false) }
  }, [endpoint, page, pageSize])

  useEffect(() => { fetchData() }, [fetchData])

  return <div>{loading ? <Spinner /> : <List items={data} />}</div>
}

Performance optimization should be tailored to specific scenarios; not all cases require over-optimization.

Common Traps

We can improve it in the following ways:

javascript
import React, { useState, useCallback } from 'react'
import { View, Text, FlatList, TouchableOpacity, StyleSheet } from 'react-native'

const ItemList = ({ data, onRefresh }) => {
  const [refreshing, setRefreshing] = useState(false)
  const handleRefresh = useCallback(async () => {
    setRefreshing(true)
    await onRefresh()
    setRefreshing(false)
  }, [onRefresh])

  const renderItem = useCallback(({ item }) => (
    <TouchableOpacity style={styles.item}>
      <Text style={styles.title}>{item.title}</Text>
    </TouchableOpacity>
  ), [])

  return (
    <FlatList data={data} renderItem={renderItem}
      keyExtractor={item => item.id}
      refreshing={refreshing} onRefresh={handleRefresh} />
  )
}

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

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

MIT Licensed