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Nanaloveyuki
76 lines
2.0 KiB
Markdown
76 lines
2.0 KiB
Markdown
---
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name: async-logger-wait-idle
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group: api
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category: async
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update-time: 20260512
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description: Wait until the async logger backlog drains to zero or a worker failure interrupts normal progress.
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key-word:
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- async
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- logger
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- queue
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- public
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---
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## Async-logger-wait-idle
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Wait until the async logger backlog drains to zero. This helper is useful when callers want to observe idle state without fully shutting down the logger.
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### Interface
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```moonbit
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pub async fn[S] AsyncLogger::wait_idle(self : AsyncLogger[S]) -> Unit {}
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```
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#### input
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- `self : AsyncLogger[S]` - Async logger whose backlog should be waited on.
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#### output
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- `Unit` - No return value. The method completes when the logger becomes idle or failure prevents normal progress.
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### Explanation
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Detailed rules explaining key parameters and behaviors
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- The helper keeps yielding while `pending_count() > 0`.
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- If `has_failed()` becomes `true`, waiting stops early instead of looping forever.
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- This API does not close the logger or stop the worker.
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- It is narrower than `shutdown()` and is useful when the logger should continue to be used later.
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### How to Use
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Here are some specific examples provided.
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#### When Need A Drain Barrier Without Shutdown
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When code should wait for queued work to flush before continuing:
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```moonbit
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await logger.wait_idle()
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```
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In this example, the caller waits for backlog drain but leaves the logger usable afterward.
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#### When Need Phase Boundaries In Tests
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When a test wants to ensure earlier async logs were processed:
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```moonbit
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await logger.wait_idle()
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println("phase complete")
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```
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In this example, the wait acts as a barrier between test phases.
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### Error Case
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e.g.:
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- If the worker has failed, `wait_idle()` stops waiting even if pending records remain.
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- If the worker was never started, pending records may not drain and callers should not expect idle progress automatically.
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### Notes
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1. Use this helper when you want a drain barrier without closing the logger.
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2. Prefer `shutdown()` when lifecycle completion matters more than continued reuse.
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