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Graph/shared-state-lock-contention

AntiPattern

Shared State Contention Deadlocks

shared-state-lock-contention

Threads contend on shared, non-thread-safe state—locks held across multiple resources or synchronized blocks inside drivers—so parallel execution collapses into waiting or deadlocks, causing throughput loss and occasional system hangs.

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Updated6/25/2026

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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

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.

MATCHESSolution

provided it's called within the same process — workers might be pre-forked. Tension: the cache doesn't work across processes. Outcome: each process got its own cache.

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I suggests you use rapyer, Which takes special care to handle deadlock problems. — Since you are using json models. Tension: deadlock problems.

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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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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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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.

MATCHESSolution

Thread a second, lower-level liveness signal into the classifier — the timestamp of the last raw stdout byte from the child. Tension: Dead socket = no bytes = livenessAge grows = still aborts (correct). Alive-but-quiet = bytes flowing = livenessAge fresh = NOT aborted.

MATCHESSolution

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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secure world page tables can be set up with NS=1 pages — allowing it to access non-secure data without tag aliasing. Tension: 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. Outcome: allowing it to access non-secure data without tag aliasing.

MATCHESSolution

you have such an id that is called transaction id. Tension: If none of that is available either. Outcome: you can create a (sort of) mutex variable (let's call it `lock`).

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In general this calls for a mutex. — If the language does not provide mutexes out of the box. Outcome: you can create a mutex.

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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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depending on your latency budget. Outcome: Same idea, but the state lives outside the process boundary.

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Cause of the deadlock.

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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.

MATCHESSolution

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

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

So I change to `ThreadLocalRandom`. — I realize that I use `java.util.Random` shared between threads. Outcome: there's ThreadLocal, which does have a seed value but each thread has its own completely independent rng and seed.

MATCHESSolution

java.lang.Thread.State: is the thread status from the application's perspective — In below thread dump. Tension: two different “perspectives” the JVM has over a thread state. Outcome: thread_state: the low-level thread state used internally by the JVM.

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

CollectSyncState() iterates all components, finds [Sync] properties without [Property], serializes them to JSON — in SaveSystem.cs. Tension: Use JSON serialization first, with a ByteStream/BytePack fallback for types that don't serialize cleanly to JSON. Outcome: RestoreSyncState() is called before RestoreNetworkOwnership() in the Load path.

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

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Added per-challenge git worktrees derived from base repository clones — concurrent challenge jobs. Tension: do not race on checkout state. Outcome: so concurrent challenge jobs do not race on checkout state.

MATCHESSolution

Use for persistent state that all clients need. — [Sync] Attribute - State Replication. Outcome: Use for actions, events, and host-authoritative operations.

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