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BitLogger/docs/api/async-logger-shutdown.md
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2026-06-14 02:17:23 +08:00

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name, group, category, update-time, description, key-word
name group category update-time description key-word
async-logger-shutdown api async 20260614 Gracefully stop an async logger by waiting for idle or clearing queued work, with worker-wait behavior depending on the active async runtime.
async
logger
lifecycle
public

Async-logger-shutdown

Gracefully stop an async logger. This is the main high-level shutdown API for async logging because it coordinates drain behavior, closure, and worker completion.

Interface

pub async fn[S] AsyncLogger::shutdown(self : AsyncLogger[S], clear? : Bool = false) -> Unit {}

input

  • self : AsyncLogger[S] - Async logger that should be shut down.
  • clear : Bool - Whether pending records should be abandoned immediately instead of waiting for idle first.

output

  • Unit - No return value. The method completes after shutdown coordination finishes.

Explanation

Detailed rules explaining key parameters and behaviors

  • clear=false first waits for idle, then closes the logger.
  • In runtimes where shutdown clearing after idle is enabled, remaining backlog after wait_idle() triggers a fallback close(clear=true).
  • clear=true immediately closes and abandons pending records.
  • In runtimes where shutdown waits for workers, the method then waits until is_running() becomes false before returning.
  • In the current backend split, native-worker runtimes enable both the post-wait_idle() clear fallback and the final wait-for-worker phase, while compatibility runtimes skip both extra steps.
  • That means a failure-short-circuited wait_idle() can still be followed by forced pending-to-dropped cleanup on native-worker runtimes, while compatibility runtimes close without that extra forced clear step.
  • Because clear=false delegates to wait_idle() first, shutdown can also wait indefinitely when pending records exist but no worker is making progress and no failure flag is raised.

How to Use

Here are some specific examples provided.

When Need Graceful Service Shutdown

When a service should stop logging only after queued records are drained:

logger.shutdown()

In this example, the logger waits for normal drain behavior before final closure.

When Need Fast Shutdown Under Pressure

When teardown should prefer speed over preserving backlog:

logger.shutdown(clear=true)

In this example, pending work is abandoned intentionally so shutdown can complete sooner.

Error Case

e.g.:

  • If clear=true, pending records are intentionally dropped rather than drained.

  • If wait_idle() returns early because the worker failed, shutdown behavior after that point still depends on the active runtime's fallback and worker-wait rules.

  • After a worker failure, native-worker shutdown may convert the remaining backlog into dropped records, while compatibility shutdown can leave the pending counter reflecting that leftover closed queue state.

  • In compatibility-style runtimes without background-worker waiting, shutdown still closes the logger but may not perform the extra wait-for-worker phase described for native-worker runtimes.

  • If pending work exists but no worker was started, shutdown(clear=false) may never reach its later close step because it is still waiting inside wait_idle().

  • If callers skip shutdown() and only inspect flags manually, it is easier to leave the worker lifecycle in an unclear state.

Notes

  1. Prefer this API over raw close() in normal application shutdown paths.

  2. Exact post-close waiting behavior depends on the active async runtime mode.

  3. Choose clear=true only when loss of queued records is acceptable.

  4. Pair it with state() or focused counters when tests need to assert whether shutdown drained backlog or converted it into dropped records.

  5. Prefer shutdown(clear=true) when teardown must not depend on a still-running drain worker.