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Graph/cancel-all-coupled-concurrency

AntiPattern

Cancel-All Concurrency Coupling

cancel-all-coupled-concurrency

Reactive pipelines and watchdog supervision get tightly coupled: a single failing Mono inside Mono.zip cancels the whole workflow, while crashed watchdog threads hide the real frozen worker, making failures hard to attribute and recover.

Node Details

Public graph metadata

Updated8/5/2026

Connections

30 linked nodes

MATCHESSolution

Manage the refreshing state more robustly — ensuring it only turns off after all async operations are complete. Tension: remove the arbitrary timeout. Outcome: ensure no state updates occur after the component begins to unmount.

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You can configure your worker with a Workflow interceptor — Temporal workflows and activities. Tension: we don't have Sentry logging anymore. Outcome: catch all exception raised during your activities and workflow execution.

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single worker running async loop. Outcome: So you have a single worker running async loop and you block that loop.

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We can prevent a job run with an empty matrix — For the `docker` job. Tension: the docker job starts even when all outputs from the changes job are false.

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If you want to always enforce the e2e tests to run. Outcome: you should be able to remove the check for `github.event_name == 'workflow_dispatch'`.

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merge queue. Tension: prevent merging code until it's completely deployed. Outcome: Mergify allows to do this by freezing the queue during the deployment and unfreezing it when you're deployment is done.

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This is not supported at present; use a workaround that periodically cancels queued (stuck) runs after a threshold. For example, run a separate scheduled workflow that lists queued runs and calls `gh run cancel` for all but the newest.

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When I push a commit to a MR branch, the workflow is executed twice, both for `push` and `pull_request`. Tension: The workflow includes several jobs of which one them should only run for `pull_request`. Outcome: Maybe a bit late, but you could use Concurrency:.

MATCHESSolution

Either adjust the trigger schedule to run only when needed (e.g., with a cron schedule), or split the workflow into a conditional “check” job that computes whether work is needed and a subsequent job guarded by an `if` condition so it is not executed (thus appearing as skipped).

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Inside of my "Deploy" workflow. Outcome: can be cancelled if necessary.

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You can use the GitHub CLI to manually cancel a workflow run.

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Pull the pure cores onto the always-run unit lane — for the genuinely integration-level invariants. Tension: a skipped test is not a passing test.

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bound it with a "progress ceiling" — a process emitting bytes but making NO semantic progress. Tension: a process emitting bytes but making NO semantic progress (livelock) would be shielded forever. Outcome: re-arms recovery after a long no-progress window even while bytes flow.

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Keep two listeners or refactor so one wrapper function registers both listeners that call the same shared effect logic; alternatively, create a single predicate/matcher that encompasses both conditions if feasible.

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Do not use `Thread.stop()`. Tension: you need to really validate your assumptions of what is possible in your complicated code base.

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track errors across the Flux — stopSignal = Sinks.one();. Tension: signal termination when the threshold is reached. Outcome: takeUntilOther(stopSignal.asMono()).

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if (errorCount.incrementAndGet() >= maxErrors) — onErrorResume(error -> {. Tension: Skip failed paths. Outcome: return Mono.empty();.

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Use virtual threads for blocking DB/IO work to improve scalability under the same small pool, or switch to a reactive database driver/event-loop model to avoid blocking carrier threads; adjust concurrency/throttling accordingly (semaphore/backpressure) rather than assuming the current JDBC + thread pool design remains optimal.

MATCHESSolution

future.cancel(true); — httpHardTimeoutScheduler.schedule(() -> {. Tension: if (!future.isDone() && !future.isCancelled()). Outcome: keep your latency low on your side of the wire.

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You can try `Mono.fromCallable()`. Tension: `Mono.just()` is not good for blocking operations. Outcome: `subscribeOn()` is when the execution starts in a separate thread pool that you define.

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handle the errors for each `Mono` separately — Mono.zip to combine three Monos. Tension: if any of the Monos in `Mono.zip` fail, the entire operation is cancelled. Outcome: you can use `onErrorResume` or `onErrorReturn` to catch the errors and provide fallback values.

MATCHESSolution

move ALL per-item computation that can throw INSIDE the try. Tension: the handler must still self-protect against manually/legacy-enqueued bad jobs. Outcome: after moving the path computation inside the try, the malformed job is skipped and the good job still processes.

MATCHESSolution

There are workarounds, depending on your usecase — calling `.notify_one()` / `.notify_all()` on a destructed `std::atomic`. Tension: There is a C++ Paper - P2616R4 - which would fix this problem. Outcome: using `std::binary_semaphore` delegating `.wait()` and `.notify_xxx()` to a separate atomic variable that has a longer lifetime manually call the futex syscalls and bypass the stdlib.

MATCHESSolution

the goroutine blocks forever on the channel send because nobody is reading — When the parent context is cancelled, the goroutine blocks forever on the channel send because nobody is reading. Tension: if the result is ready at the exact moment the context cancels, which case fires?

MATCHESSolution

Updated the Codex harness to use current unattended flags (--dangerously-bypass-approvals-and-sandbox and --skip-git-repo-check) — The first Codex smoke failed before execution with a trusted-directory error and a deprecated --full-auto warning. Tension: preserving older event paths. Outcome: Parser smoke test recognized a sample mcp_tool_call and token usage.

MATCHESSolution

Use Component.Task (TaskSource) for all async work inside components — inside components. Tension: it auto-cancels when the component is destroyed.

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Universal hook set for MCP behavioral activation. Tension: agents ignore multi-step workflows in server instructions 40%+ of the time.

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Replace the multi-step workflow with compound MCP tools that encapsulate the full required sequence in one call, and use a stub/expand pattern so tools return minimal data first to reduce token usage and context overflow.

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Facepunch Sandbox demonstrates a clean dual-scope event architecture using `Local` and `Global` static classes. Tension: Difficulty implementing cancellable events.

MATCHESSolution

Rebuilt App.tsx as the OracleController beat machine. Outcome: running the authored cascade arrest→anchor→recognition→locked on setTimeout timers.

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