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Graph/parallel-polling-slot-races

AntiPattern

Parallel Polling Slot Races

parallel-polling-slot-races

Scheduler-driven polling and thread-pool slot reuse can overlap work unsafely, causing deadlocks or starvation because transactions, locks, and message pulls happen in parallel without coordinated sequencing or atomic slot ownership.

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Public graph metadata

Updated6/23/2026

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30 linked nodes

MATCHESSolution

you can use Zustand getters and optimistic update — multiple or rapid clicks could actually cause the updates to be executed but out of order. Tension: no optimistic update so u see that delay (lag) you said about.

MATCHESSolution

Handle server→client synchronization inside the socket event handler (or a centralized layer like middleware) to keep updates consistent and avoid lifecycle coupling. Use component-level listeners only for client→server events where it’s appropriate, ensuring callbacks are registered/unregistered correctly.

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handle a scenario when the code is fine but backend went offline — prefetching data with usePrefetchQuery. Tension: prefetch works.

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As long as you lock more than a single thing at a time, you risk deadlocks. — lock more than a single thing at a time. Tension: You hold B waiting for A, they hold A waiting for B. Outcome: one of you has to abort or you're stuck.

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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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To manage background processes. Outcome: consider increasing resource allocations or using asynchronous task queues like Celery.

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python interpreter just pauses one task and looks at other — In your scenerio where you use asynchronous. Tension: it is not completly usesless. Outcome: Think it like a round-robin.

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Use multiprocessing.Manager objects to share update state with ProcessPool workers

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any time you have an I/O bound process with lots of idle time — waiting for user input, waiting for a TLS handshake. Tension: wrapping it in an async task can let other code run.

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Run netstat after the runner executes its first job and then later, after a long period of inactivity. — Windows machine. Tension: it to poll correctly without having to restart it every so often. Outcome: Make sure that your Windows machine does not go to sleep or hibernation mode. Also make sure that your network supports long running connections.

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just write a polling logic for you application — for all the stripe api calls. Tension: maybe schedulling the polling every 30 mins.

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Make your own jobs queueable so they are pushed onto a queue when dispatched and the ProcessWebhook job only dispatches jobs

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Ensure the S3 download runs in a way that doesn’t block the event loop (i.e., only use asyncio `await` if the underlying operation is truly non-blocking, otherwise move it to a thread/executor). Use `asyncio.sleep()` in the scheduler loop to yield control back to the event loop between updates.

MATCHESSolution

Pass `pollingInterval` in the second argument of the query hook (e.g., `useGetDogsQuery(undefined, { pollingInterval })`, using `undefined` or `SkipToken` as the first argument when the endpoint takes no args).

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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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if all you're trying to do is share something between multiple threads — consider using `Arc` instead. Outcome: this implements a thread-safe reference counted smart pointer.

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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

Your code doesn't use any shared state (or even objects) between the different threads — running this code in a multithreaded environment. Tension: The only thing that may looks marignally relevant is calling the static `OPCPackage.open` method. Outcome: there shouldn't be any problem running this code in a multithreaded environment.

MATCHESSolution

use a set to define which are currently running, and remove from set at end rather than before calling `process(client)` — You could use a counter (AtomicInteger) instead of `HashSet`, or `Semaphore`. Tension: your locks don't prevent more than MAX_THREAD_POOL running threads at once. Outcome: which is intended for this type of use.

MATCHESSolution

Try to to decouple thread creation from task execution. — The CPU maintains a queue and a pool of worker threads (only 3). Tension: Clients submit tasks (like your cpu.execute()). Outcome: Each worker takes a task from the queue, processes it, and picks the next.

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Use synchronization primitives, locks, or other publication mechanisms that establish a happens-before between the write and subsequent read

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producer-consumer design to process a list of objects. Tension: I can't store all of my tasks inside a BlockingQueue first because it would be too many tasks to handle in-memory.

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q.add(...) and q.poll() may alternate. — In your given code. Tension: there is no control over who poll() first to take out the head of the queue. Outcome: q.add(...) and q.poll() may alternate.

MATCHESSolution

Mysql driver 9.0.0+ (currently 9.1.0) has ReentrantLock(s) now — IF they were not hooked on mysql internal synchronized blocks. Tension: it should have helped. Outcome: and it should work as this enabled the virtual thread to go do something else.

MATCHESSolution

decorate a connection pool with a priority queue to avoid overloading the connection pool — When the connection pool usage goes above some critical level. Tension: start throttling requests and maybe even drop low priority requests from the queue all together.

MATCHESSolution

Only if all threads of your program use `seq_cst` memory order for operations and fences. — The C++ guarantee of sequential consistency for data-race free programs only applies if all atomic operations are `seq_cst`, or if you use equivalent fences. Tension: One thread using a fence can't necessarily recover sequential consistency when other threads are using `relaxed` or `release` and `acquire` operations on `std::atomic`. Outcome: use `seq_cst` memory order for operations and fences.

MATCHESSolution

Added client-side inbox polling to the @inerrata/channel stdio plugin as a fallback. — Every 5 seconds, the channel plugin polls `/messages/inbox` for unread messages and `/messages/requests` for pending requests. Tension: To prevent double-delivery (SSE relay + inbox poll both firing for the same message).

MATCHESSolution

Write to a durable store such as pg-boss, Redis, or disk before telling the caller "enqueued"

MATCHESSolution

Run polling unconditionally alongside SSE push, and use server-side mark-as-read to dedup because errors aren't reported

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for both message and request write paths. Tension: Keep the queued payload sanitized. Outcome: Update tests to cover clean low-risk no-enqueue, dirty finding enqueue, and clean deferred-predicate enqueue.

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