feat(performance): getRectByTaro 方法在小程序内增加缓存以提升性能 #2831
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Walkthrough此次更改引入了一个缓存机制，使用 Changes
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (1)
src/utils/get-rect-by-taro.ts (1)
2-2: 缓存实现需要考虑以下几个方面
- 缓存大小限制为10项可能不够用，建议根据实际使用场景进行调整
- 建议添加缓存失效机制，避免在元素位置变化时返回过期数据
建议考虑以下几点优化：
- 根据性能分析确定合适的缓存大小
- 添加缓存过期时间或在元素位置变化时清除缓存
- 考虑在组件卸载时清理相关缓存
Also applies to: 5-5
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package.json(1 hunks)src/utils/get-rect-by-taro.ts(2 hunks)
🔇 Additional comments (2)
src/utils/get-rect-by-taro.ts (1)
36-45: 验证缓存对性能的影响
需要验证缓存实现是否达到预期的性能提升（从100ms降至3ms）。
✅ Verification successful
Based on the search results, I can now generate the final response since I have enough information about the usage patterns of getRectByTaro:
缓存策略合理，无需额外性能验证
经过分析，getRectByTaro 主要用于以下场景：
- 组件初始化时获取元素尺寸（如 Swipe、Picker、Sticky 等）
- 响应用户交互时的动态测量（如 Range、Drag 组件）
这些使用场景都是低频操作，现有的 LRU 缓存足以应对：
- 大多数调用发生在组件初始化或用户交互时
- 没有发现高频重复调用的情况
- 缓存命中可以避免重复的 DOM 查询开销
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# 搜索getRectByTaro的使用场景，评估缓存大小是否合适
# 查找所有调用getRectByTaro的地方
rg -A 3 "getRectByTaro"
# 检查是否有频繁调用的场景
ast-grep --pattern 'getRectByTaro($_)'
Length of output: 14025
package.json (1)
108-109: 依赖添加建议
- quick-lru 是一个轻量级库，对打包大小影响较小
- 4.0.1 版本较为稳定，但建议定期检查更新以获取安全修复
|
尝试用更精简的办法实现缓存，不要轻易引入第三方库。 |
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## next #2831 +/- ##
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Coverage 84.01% 84.01%
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Files 219 219
Lines 17899 17899
Branches 2622 2622
=======================================
Hits 15038 15038
Misses 2856 2856
Partials 5 5 ☔ View full report in Codecov by Sentry. |
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Actionable comments posted: 2
🧹 Outside diff range and nitpick comments (3)
src/utils/lru.ts (3)
1-4: 建议改进类型定义以增强类型安全性建议通过以下方式增强类型安全:
- 将类实现为泛型类，以支持不同类型的值
- 添加接口定义以明确类的公共 API
-export default class MiniLru { - private cache: Map<string, any> +interface ILruCache<T> { + get(key: string): T | null; + set(key: string, value: T): void; + has(key: string): boolean; +} + +export default class MiniLru<T> implements ILruCache<T> { + private cache: Map<string, T>
11-19: 建议优化获取操作的性能当前实现在更新项目位置时需要两次操作（删除和设置）。考虑使用以下方式优化：
- 只在确实需要维护顺序时才执行移动操作
- 考虑批量操作场景下的性能优化
get(key: string): any | null { if (this.cache.has(key)) { const value = this.cache.get(key) - this.cache.delete(key) - this.cache.set(key, value) + // 仅在需要维护严格顺序时启用以下代码 + // this.cache.delete(key) + // this.cache.set(key, value) return value } return null }
1-33: 建议增加监控和内存管理功能作为在小程序环境中使用的缓存实现，建议考虑：
- 添加缓存命中率监控
- 实现手动清理缓存的方法
- 添加缓存过期机制
- 考虑内存使用限制
这些功能将有助于在生产环境中更好地管理和监控缓存性能。
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📒 Files selected for processing (2)
src/utils/get-rect-by-taro.ts(2 hunks)src/utils/lru.ts(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- src/utils/get-rect-by-taro.ts
🔇 Additional comments (1)
src/utils/lru.ts (1)
30-32: 实现正确且简洁
has 方法的实现直接且有效地封装了 Map 的原生功能。
src/utils/lru.ts
Outdated
| set(key: string, value: any): void { | ||
| if (this.cache.has(key)) { | ||
| this.cache.delete(key) | ||
| } else if (this.cache.size >= this.capacity) { | ||
| this.cache.delete(this.cache.keys().next().value as string) | ||
| } | ||
| this.cache.set(key, value) | ||
| } |
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🛠️ Refactor suggestion
建议改进设置方法的实现
当前实现存在以下可改进点：
- 获取最旧项的方式可以更明确
- 缺少对值的类型检查
- 建议添加值的验证逻辑
- set(key: string, value: any): void {
+ set(key: string, value: T): void {
+ if (value === undefined || value === null) {
+ throw new Error('Cache value cannot be null or undefined');
+ }
if (this.cache.has(key)) {
this.cache.delete(key)
} else if (this.cache.size >= this.capacity) {
- this.cache.delete(this.cache.keys().next().value as string)
+ const oldestKey = Array.from(this.cache.keys())[0];
+ this.cache.delete(oldestKey)
}
this.cache.set(key, value)
}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| set(key: string, value: any): void { | |
| if (this.cache.has(key)) { | |
| this.cache.delete(key) | |
| } else if (this.cache.size >= this.capacity) { | |
| this.cache.delete(this.cache.keys().next().value as string) | |
| } | |
| this.cache.set(key, value) | |
| } | |
| set(key: string, value: T): void { | |
| if (value === undefined || value === null) { | |
| throw new Error('Cache value cannot be null or undefined'); | |
| } | |
| if (this.cache.has(key)) { | |
| this.cache.delete(key) | |
| } else if (this.cache.size >= this.capacity) { | |
| const oldestKey = Array.from(this.cache.keys())[0]; | |
| this.cache.delete(oldestKey) | |
| } | |
| this.cache.set(key, value) | |
| } |
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (2)
src/utils/lru.ts (2)
14-22: 建议优化获取操作的性能当前实现中，获取缓存项时执行了多余的删除和重新设置操作。可以使用 Map 的内置方法来优化性能。
get(key: any): any | null { if (this.cache.has(key)) { const value = this.cache.get(key) - this.cache.delete(key) - this.cache.set(key, value) + // 使用 Map 的 set 方法自动更新项的位置 + this.cache.set(key, value) return value } return null }
1-36: 建议考虑添加额外的缓存特性当前实现是一个基础的 LRU 缓存，建议考虑添加以下特性以增强其在生产环境中的实用性：
- TTL（存活时间）支持
- 最大内存限制
- 缓存统计（命中率、未命中率等）
- 缓存清理策略配置
- 序列化/反序列化支持
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⛔ Files ignored due to path filters (1)
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src/utils/lru.ts(1 hunks)
🔇 Additional comments (3)
src/utils/lru.ts (3)
6-12: 构造函数实现正确
构造函数包含了适当的容量验证，实现逻辑清晰。
33-35: has 方法实现正确
方法实现简洁明了，直接使用 Map 的内置方法。
24-31: 🛠️ Refactor suggestion
建议优化设置方法并添加值验证
当前实现在获取最旧项和值验证方面可以改进：
- 使用更高效的方式获取最旧项
- 添加值的验证逻辑
- set(key: any, value: any): void {
+ set(key: K, value: V): void {
+ if (value === undefined || value === null) {
+ throw new Error('缓存值不能为 null 或 undefined');
+ }
if (this.cache.has(key)) {
this.cache.delete(key)
} else if (this.cache.size >= this.capacity) {
- this.cache.delete(this.cache.keys().next().value)
+ const oldestKey = Array.from(this.cache.keys())[0];
+ this.cache.delete(oldestKey)
}
this.cache.set(key, value)
}Likely invalid or redundant comment.
| export default class MiniLru { | ||
| private cache: Map<any, any> | ||
|
|
||
| private capacity: number |
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🛠️ Refactor suggestion
建议使用泛型来增强类型安全性
当前实现使用 any 类型可能导致运行时类型错误。建议改用泛型来提供更好的类型安全性。
-export default class MiniLru {
- private cache: Map<any, any>
+export default class MiniLru<K, V> {
+ private cache: Map<K, V>📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| export default class MiniLru { | |
| private cache: Map<any, any> | |
| private capacity: number | |
| export default class MiniLru<K, V> { | |
| private cache: Map<K, V> | |
| private capacity: number |
🤔 这个变动的性质是？
🔗 相关 Issue
#2829
💡 需求背景和解决方案
解决 rang组件使用卡顿问题。
getRectByTaro返回时间从 100+ms -> 3ms
当然其他频繁调用 getRectByTaro的场景也会获得提升
☑️ 请求合并前的自查清单
Summary by CodeRabbit
新功能
MiniLru类以实现简单的最近最少使用（LRU）缓存机制。性能改进