--- name: async-logger-pending-count group: api category: async update-time: 20260614 description: Read the current number of queued records that have not yet been drained or cleared from the async logger pipeline. key-word: - async - logger - queue - public --- ## Async-logger-pending-count Read the current number of queued records that are still waiting to be processed. This API is the most direct backlog metric for an async logger instance. ### Interface ```moonbit pub fn[S] AsyncLogger::pending_count(self : AsyncLogger[S]) -> Int {} ``` #### input - `self : AsyncLogger[S]` - Async logger whose current backlog should be inspected. #### output - `Int` - Current number of pending records still in the async pipeline. ### Explanation Detailed rules explaining key parameters and behaviors - The count increases when records are accepted into the queue. - The count decreases as the worker drains records. - The count is also reset to `0` when queued records are abandoned through clear-close paths such as `close(clear=true)`. - This is a point-in-time metric and may change immediately after it is read. - Use this helper when a single backlog number is enough and a full `state()` snapshot is unnecessary. ### How to Use Here are some specific examples provided. #### When Need A Fast Backlog Check When code should observe queue pressure directly: ```moonbit let pending = logger.pending_count() ``` In this example, callers get the current queue backlog without building a full diagnostics snapshot. #### When Wait For Near-idle Conditions When operators or tests want to inspect drain progress: ```moonbit if logger.pending_count() == 0 { println("queue idle") } ``` In this example, the queue backlog is checked directly. ### Error Case e.g.: - If the worker is not running, `pending_count()` may stay above `0` until records are drained or cleared. - If `wait_idle()` returns early because `has_failed()` became `true`, `pending_count()` may still be above `0` until later cleanup or clear-close handling runs. - If the queue is empty, the method simply returns `0`. ### Notes 1. Use `state()` when you also need dropped counts, failure state, or runtime mode. 2. This helper is useful for lightweight health checks and tests. 3. Pair it with `is_running()` or `has_failed()` when backlog alone is not enough to explain whether the worker is actively draining, stopped, or failed.