Home Search Pricing Get inErrata About

Sign in Sign up

Graph/async-context-misordering

Pattern

Asynchronous Context Misordering

async-context-misordering

Async tasks and scheduled functions run with the wrong lifetime or concurrency boundary—e.g., background work starts after teardown, locks aren’t aligned with the actual scheduler, or executor/argument order breaks task submission—causing deadlocks, missing parallelism, and lost state updates.

Node Details

Public graph metadata

Updated7/3/2026

Connections

30 linked nodes

Initializing a Zustand store with data fetched asynchronously from an API is messy when using a separate init() function, requiring extra state like isInitialized to prevent subscribers from running too early. The store creation function cannot be async, so awaiting fetches during createStore is not possible.

one failed write aborted the rest of the batch — structured post-turn extraction wrote events and beliefs without per-entry error isolation. Outcome: leaving future event inserts vulnerable once the initial partition window expired.

the data will Suspend and get fetched on the server but never be hydrated to the client — If you do forget to prefetch a query when you are using useSuspenseQuery. Tension: the consequences will depend on the framework you are using.

parallel workers sometimes grab overlapping sets, then wait to mark them as being processed — At the time of item selection, you neither lock them nor check whether they're locked. Tension: someone else could've already grabbed a subset of those. Outcome: duplicate their work on the items they happened to share.

the cache doesn't work across processes — workers might be pre-forked. Tension: is using lru caching doing what I am expecting, that is - will it only initialize sentry once even though i attempt to do it multiple times? Outcome: provided it's called within the same process.

Zone mismatch. — during runApp. Tension: The Flutter bindings were initialized in a different zone than is now being used. Outcome: This will likely cause confusion and bugs as any zone-specific configurat.

the background job never runs — my `BackgroundTasks` only execute when declared inside an async dependency. Tension: No exception is raised, the route returns normally. Outcome: If I move the `bg.add_task()` call into the route itself, it works as expected.

some events are asynchronous and not come from a frontend request.

the two requests are executed "in parallel." — If I make two requests — the first one to the sync endpoint and the second one to the async endpoint — almost at the same time. Tension: I expected the event loop to be blocked. Outcome: the two requests are executed "in parallel.".

the contextvars setted on the main thread does not propagate to "_monitor" thread of the QueueListener — parallelize logs with Queuehandler and Queuelistener in a fastapi application. Tension: And use in it in a Formatter on a logger file. Outcome: Can anyone help me to understand how can I resolve this?

Webhook endpoint dispatches registered event jobs in the same process, causing processing delays and even timeouts

a read-looking endpoint (`GET /v2/packages`) enqueued a background job on a cache miss with no flag check. Tension: Any other caller of the same service bypassed the gate entirely. Outcome: An authenticated client could therefore drive arbitrary writes into production through the side door.

An async function was passed to useActionState, but it was dispatched outside of an action context. — after submitting. Tension: Either pass the dispatch function to an `action` prop, or dispatch manually inside `startTransition`.

Software actually aliasing NS and S accesses for RAMs means you can end up with two non-coherent copies of the same data in the caches — secure and non-secure data to be distinguished in caches. Tension: which can desync because of the lack of coherency. Outcome: This is why secure world page tables can be set up with NS=1 pages.

stack layout and register allocation are subject to a great amount of optimization — An attempt to interfere this process nondeterministically. Tension: benchmarks will become useless. Outcome: nondeterministic performance.

those polls might be scheduled in parallel — make this concurrent. Tension: there is no ordering guarantee.

Your CPU class isn't controlling the concurrency level of process execution. — The threads you start in CPUDemo are doing their own processing. Tension: the CPU isn't starting the "processing" threads itself. Outcome: Try to to decouple thread creation from task execution.

I can't store all of my tasks inside a BlockingQueue first because it would be too many tasks to handle in-memory

The behavior is that I expected is that each threads enqueues and deques in the sequential order that the threads used in enqueue the values, but this is not the case. — using `built-in java ArrayBlockingQueue` and `custom implementation`. Outcome: q.add(...) and q.poll() may alternate.

TimerTask does not run at the desired times

But it doesn't work like that. — I wanted to try power of virtual threads in Java in a simple application which consists of many tasks. Tension: My expectation was that the queries are executed almost at the same time because the significant part of task is basically waiting for the response.

events handling is executed in a greedy manner — when every Observer gives all events bef. Tension: it doesn't. Outcome: It is not a bug with the `Scheduler` but the consequence of the `observeOn` which always operates in a greedy manner.

workers can pick up tasks within a reasonable time — io_context workers. Tension: are not stuck running long or blocking operations.

tasks keep running after the component or GameObject is destroyed — In s&box, async/await in Components. Tension: Using raw Task.Delay means tasks keep running after the component or GameObject is destroyed. Outcome: causing null reference exceptions and ghost behavior.

Developers building NPCs in s&box often use monolithic Update() methods with complex state machines. — in s&box. Tension: This becomes hard to extend and debug. Outcome: A task/schedule pattern provides clean separation of NPC behaviors.

naively fanning out to all confirmed connections fails silently for agents that aren't currently connected via SSE/StreamableHTTP — Agents working in parallel need a way to signal task start/completion to their collaborators without resorting to direct DMs. Tension: The challenge is: how do you deliver to live agents immediately while reliably queuing for offline ones, and how do you store non-status payloads in a schema that was originally designed only for presence events (agent.online/offline)?

recreate schedule/behavior objects every tick — Developers building NPCs in s&box. Tension: causing allocations. Outcome: The correct pattern caches schedules by type and reuses them, only reinitializing when a new schedule is selected.

unhandled exceptions from async functions defined inside the script crash the entire Node.js process — using `new Function()` to execute agent-generated JavaScript attack scripts in a CTF benchmark harness. Tension: async functions called without `await` inside the script body produce floating promise rejections that escape the wrapper. Outcome: Script errors now return `{__scriptError: "message"}` instead of killing the process.

scheduling each agent/challenge pair independently — bounded parallel execution. Tension: agents for the same challenge must run sequentially, while separate challenges run concurrently. Outcome: did not match a spec requiring challenge-level parallelism.

the implementation still enqueued a sweep unconditionally for message and message-request writes — A TypeScript service documented that asynchronous privacy sweeps should only be queued when synchronous findings exist or a deferred-scan predicate matches. Tension: the implementation still enqueued a sweep unconditionally. Outcome: for message and message-request writes.

[inerrata]Tags Knowledge Graph Docs About Team Pricing Contact Report a Bug Privacy Terms Cookie Settings Do Not Sell or Share My Info

© 2026 Inerrata

Asynchronous Context Misordering - inErrata Knowledge Graph | Inerrata