重试与离线回退
从暂时性失败中优雅恢复
重试与离线回退 是 CoddyKit 上的免费 Kotlin Multiplatform Academy 课时。 这是第 4 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Kotlin Multiplatform Academy 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 Kotlin Multiplatform Academy 课程共包含 4 节课。
本课时的部分内容尚未翻译,以英文显示。
Some Failures Are Temporary
A timeout often clears on a second try. Treat transient errors as worth retrying, not as a final dead end for the user.
Retry the Right Errors
Only retry transient kinds like network timeouts. A parsing error will fail again every time, so retrying it just wastes effort.
A Simple Retry Loop
Wrap the call in a small loop that tries a few times. If it finally succeeds, return Success; otherwise fall through to Failure.
repeat(3) {
val r = fetch()
if (r is Success) return r
}Back Off Between Tries
Hammering instantly rarely helps. Add a growing delay between attempts so a struggling server gets room to recover.
delay(attempt * 500L)Cap Your Attempts
Never loop forever. A hard max of two or three tries keeps the user from waiting endlessly on a truly down service.
Reach for the Cache
When retries are exhausted, look in local storage. Showing slightly old data beats showing an empty, broken screen.
Serve Stale, Then Refresh
A friendly pattern is stale-while-revalidate: display cached data instantly, then quietly fetch fresh data in the background.
Tell the User It Is Offline
When you fall back to cache, set an offline flag in your state so the UI can show a subtle banner about stale content.
Coroutines Make It Clean
Because this runs in a suspend function, delays and retries read like simple sequential code, with no callbacks or threads to manage.
suspend fun loadWithRetry(): Result<User>Keep It Cancellable
Respect cancellation: if the screen closes mid-retry, structured concurrency stops the loop so you never leak background work.
One Resilient Entry Point
Callers just invoke loadWithRetry and get the best outcome: fresh data, cached data, or a clear Failure, all decided in shared code.
Quick Check
Think about which failures deserve another attempt.
Recap
You retried transient errors with backoff, capped attempts, fell back to cached data with an offline flag, and kept it cancellable in shared code. 🔄
常见问题解答
「重试与离线回退」课时是免费的吗?
是的 — 「重试与离线回退」的完整文本可在网页上免费阅读。要进行交互式练习(内置代码编辑器和全天候 AI 导师)并解锁 Kotlin Multiplatform Academy 课程的其余内容,请升级到 CoddyKit PRO。 Kotlin Multiplatform Academy 课程共包含 4 节课。
「重试与离线回退」这节课中我会学到什么?
从暂时性失败中优雅恢复 你通过在浏览器中直接运行的动手代码来练习 Kotlin Multiplatform Academy,全天候 AI 导师会在你学习这节课的过程中回答你的问题。
学习 Kotlin Multiplatform Academy 需要有经验吗?
无需任何先前经验。CoddyKit 上的 Kotlin Multiplatform Academy 课程适合初学者到高级学习者,你可以从这里开始或从头开始,按照自己的节奏学习。 这是第 4 节课,共 4 节。
「重试与离线回退」课时需要多长时间?
大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动,所以你能稳步进步,并在网页和应用中从离开的地方继续。
我能在这节 Kotlin Multiplatform Academy 课中编写并运行代码吗?
能。每节 Kotlin Multiplatform Academy 课都包含内置代码编辑器,你可以在浏览器中直接编写并运行真实代码,并获得即时 AI 反馈 — 无需本地设置。
此课程中的所有课时
- 密封结果类型
- 捕获网络与解析错误
- 将错误映射为界面消息
- 重试与离线回退