The Truth About “Cancelling” Async/Await: You’re Mostly Just Ignoring Results

At some point, every JavaScript developer asks the same question: why can't I just cancel this async operation? why can't I just cancel this async operation? A user navigates away, a component unmounts, a newer request supersedes an older one - surely there must be a way to stop work that's no longer needed! In practice, we reach for familiar patterns: Promise.race() with a timeout, ignoring the result when it eventually arrives, or wiring up an AbortController and assuming the problem is solved. Often this appears to work, until the application starts leaking resources, performing late side effects, or behaving inconsistently under load. Promise.race() AbortController The underlying, fundamental issue is: JavaScript does not provide task cancellation as a primitive. Once asynchronous work has been scheduled, there is no general mechanism to forcibly stop it. Promises, callbacks, and async functions represent results and continuations, not ownership of the underlying execution. JavaScript does not provide task cancellation as a primitive This creates a mismatch between intent and reality: developers think in terms of "stopping work", but the language operates in terms of letting work run to completion and optionally reacting to its outcome. As a result, many so-called cancellation techniques merely stop waiting for a result rather than stopping the work itself. Understanding this gap is essential, because it explains much of JavaScript's async behavior: why promises can't be cancelled, why timeouts don't halt execution, and why AbortController is designed as a signaling mechanism instead of a kill switch. Once that model is clear, the limitations around cancellation stop feeling accidental - they follow directly from how JavaScript executes code. AbortController Cancellation vs Timeout vs Failure One reason cancellation is so often misunderstood in JavaScript is that it gets conflated with two very different concepts: timeouts and failures. All three may result in "this operation didn't produce a value", but they describe fundamentally different situations. Cancellation: "I no longer want this" Cancellation is an external decision. The operation itself may be perfectly healthy and capable of completing, but something outside of it - user input, application state, navigation, or a newer request - has made the result irrelevant. Importantly, cancellation says nothing about correctness. The operation did not fail. It was simply asked to stop because its result is no longer needed. In well-designed systems, cancellation is expected and routine, not exceptional. Timeout: "I stopped waiting" A timeout does not cancel work. It only limits how long a caller is willing to wait for a result. In JavaScript, timeouts are commonly implemented using Promise.race(): Promise.race() await Promise.race([ doWork(), timeout(1000) ]); await Promise.race([ doWork(), timeout(1000) ]); When the timeout wins the race, the awaiting code resumes, but doWork() continues running. Any side effects it performs will still happen. Any resources it holds will remain allocated until it finishes or cleans up on its own. doWork() Today, most modern APIs accept an AbortSignal instead. This improves resource cleanup and intent signaling, but it does not change the fundamental model: aborting is still cooperative, and only affects code that opts in. AbortSignal This distinction is easy to miss because the caller regains control, creating the illusion that the work has stopped. In reality, the timeout merely stopped observing the result. Failure: "Something went wrong" Failures describe internal problems: network errors, invalid input, logic bugs, unavailable resources. They are usually represented as rejected promises or thrown errors. Unlike cancellation, failures are not intentional. They indicate that the operation could not complete successfully even if its result was still desired. Treating cancellation as a failure often leads to awkward error handling. Code starts catching “errors” that are not errors at all, or suppressing failures because they might just be cancellations. Over time, real failures become harder to distinguish from normal control flow. Why this distinction matters In JavaScript APIs, timeouts and failures are frequently overloaded to stand in for cancellation. This works superficially, but it obscures intent and pushes responsibility onto the caller to guess what actually happened. Once you separate these concepts, a pattern emerges: JavaScript is good at expressing waiting and failure, but it has no built-in notion of stopping work. Everything that looks like cancellation is either a timeout, an ignored result, or a cooperative protocol layered on top. Why Promises Can't Be Cancelled When developers ask why cancellation is hard in JavaScript, what they usually mean is: why can't I cancel a Promise? After all, promises are the foundation of async/await, and most asynchronous work is expressed in terms of them. If promises represented "tasks", cancellation would seem straightforward. why can't I cancel a Promise? But promises were never designed to model tasks. Promises represent results, not execution A promise is a placeholder for a value that will be available in the future. It says nothing about how that value is produced, or even whether there is ongoing work associated with it. By the time you have a promise, the underlying operation may already be finished, in progress, or shared with other consumers. This distinction is subtle but crucial: a promise does not own the work that led to it. a promise does not own the work that led to it Once created, a promise must eventually settle - either fulfilled or rejected. There is no third state for "abandoned" or "cancelled", because that would break the core guarantee that promises make: if you have a reference to one, you can reliably attach handlers and eventually observe an outcome. The "cancel a promise" fallacy Imagine a hypothetical .cancel() method on promises. What would it actually do? .cancel() Consider this: const p = fetchData(); p.then(render); p.then(cacheResult); const p = fetchData(); p.then(render); p.then(cacheResult); If one consumer calls p.cancel(), what happens to the others? Should their handlers stop running? Should the promise reject? With what error? And what if a third consumer attaches a .then() after cancellation? p.cancel() .then() after These questions don't have consistent answers without introducing global side effects. Promises are intentionally shareable and composable, cancellation would make their behavior depend on who else is observing them. This is why cancellation doesn't fit as a method on the promise itself. Cancellation is about controlling work, while promises are about observing outcomes. controlling work observing outcomes What would break if promises were cancellable Making promises cancellable would ripple through the entire async ecosystem: Shared promises would become fragile, since any consumer could affect others. Memoization and caching would be unsafe - cached promises could be cancelled by accident. async/await would lose its simple mental model, because awaiting a promise would no longer guarantee eventual completion. Shared promises would become fragile, since any consumer could affect others. Memoization and caching would be unsafe - cached promises could be cancelled by accident. async/await would lose its simple mental model, because awaiting a promise would no longer guarantee eventual completion. async/await In other words, cancellation would introduce hidden coupling between otherwise independent pieces of code. Why cancellation had to live elsewhere Earlier libraries experimented with cancellable promises, and the idea even surfaced during early standardization discussions. The conclusion was consistent: cancellation is not a property of the promise, but a protocol between the caller and the callee. protocol between the caller and the callee That protocol needs a separate channel: something that can be passed around, observed, and acted upon - without undermining the semantics of promises themselves. This is why modern JavaScript models cancellation as a signal, not as an operation on the promise. Once you see promises as immutable views over future values rather than handles to running tasks, their lack of cancellation stops looking like an omission. It's a boundary that keeps asynchronous code predictable and composable. boundary that keeps asynchronous code predictable and composable What AbortController Really Is If promises can't be cancelled, how do we actually stop or control asynchronous work in JavaScript? That's where AbortController comes in. Understanding what it really does - and what it cannot do - is key to designing cancellation-aware code. AbortController AbortController as a signaling mechanism AbortController is essentially a messenger. It allows one piece of code to notify others that a task should no longer continue. It does this via an AbortSignal: AbortController AbortSignal const controller = new AbortController(); const signal = controller.signal; fetch(url, { signal }) .then(response => console.log('Fetched!', response)) .catch(err => { if (err.name === 'AbortError') { console.log('Fetch was aborted'); } else { console.error(err); } }); // Later, trigger abort controller.abort(); const controller = new AbortController(); const signal = controller.signal; fetch(url, { signal }) .then(response => console.log('Fetched!', response)) .catch(err => { if (err.name === 'AbortError') { console.log('Fetch was aborted'); } else { console.error(err); } }); // Later, trigger abort controller.abort(); Here, controller.abort() doesn't magically stop every line of JavaScript. Instead, it informs any cooperating API - in this case, fetch - that the work is no longer desired. fetch responds by rejecting its promise with an AbortError and closing the underlying network connection. That's all that happens automatically. controller.abort() fetch fetch AbortError What AbortController can do Signal intent: Any consumer that observes the signal can react. Enable resource cleanup: APIs like fetch or streams can close connections, release handles, or stop producing data. Propagate cancellation: Signals can be passed down through multiple layers of an API call chain, allowing higher-level code to request termination of lower-level operations. Signal intent: Any consumer that observes the signal can react. Signal intent Enable resource cleanup: APIs like fetch or streams can close connections, release handles, or stop producing data. Enable resource cleanup Propagate cancellation: Signals can be passed down through multiple layers of an API call chain, allowing higher-level code to request termination of lower-level operations. Propagate cancellation Essentially, AbortController provides a cooperative cancellation protocol. Consumers must opt in and decide how to respond. cooperative cancellation protocol What AbortController cannot do Stop arbitrary JavaScript execution: CPU-bound loops, synchronous functions, or other work will continue running until completion unless they explicitly check the signal. Enforce cleanup automatically: Only the code that responds to the signal can free resources or terminate tasks. Cancel promises generically: It does not magically cancel the underlying promise, it only signals intent to abort. Stop arbitrary JavaScript execution: CPU-bound loops, synchronous functions, or other work will continue running until completion unless they explicitly check the signal. Stop arbitrary JavaScript execution Enforce cleanup automatically: Only the code that responds to the signal can free resources or terminate tasks. Enforce cleanup automatically Cancel promises generically: It does not magically cancel the underlying promise, it only signals intent to abort. Cancel promises generically Abort is cooperative by design The cooperative nature of AbortController is intentional: It avoids breaking shared state or running code unexpectedly. It preserves the run-to-completion semantics of JavaScript. It gives API authors flexibility in how they respond to abort signals, rather than imposing one-size-fits-all behavior. It avoids breaking shared state or running code unexpectedly. It preserves the run-to-completion semantics of JavaScript. It gives API authors flexibility in how they respond to abort signals, rather than imposing one-size-fits-all behavior. For example, consider a long-running computation: async function compute(signal) { let i = 0; while (i < 1e9) { if (signal.aborted) { console.log('Computation aborted'); return; } i++; } return i; } async function compute(signal) { let i = 0; while (i < 1e9) { if (signal.aborted) { console.log('Computation aborted'); return; } i++; } return i; } Without explicitly checking signal.aborted, there's no way to stop this computation. The signal doesn't “kill” the function, it merely provides a way for the function to notice it should exit early. signal.aborted Resource Cleanup vs Task Termination A common misconception in JavaScript cancellation is thinking that signalling a task to abort automatically stops all work. In reality, there's a crucial distinction between stopping a task and cleaning up resources, and understanding it is essential to writing robust asynchronous code. Stopping work vs cleaning up When you call controller.abort() on an AbortController, the APIs that observe the signal typically release resources: controller.abort() AbortController fetch closes the underlying network connection. Streams stop producing data and can free buffers. Database or file handles may be closed if the API supports abort signals. fetch closes the underlying network connection. fetch Streams stop producing data and can free buffers. Database or file handles may be closed if the API supports abort signals. This is what "resource cleanup" means: the system ensures that things like sockets, memory buffers, or file descriptors are not left dangling. Cleanup is essential to prevent memory leaks, connection exhaustion, or other subtle bugs. However, resource cleanup does not automatically stop all ongoing work. Any CPU-bound computation, synchronous logic, or code outside cooperative APIs continues running until it naturally completes. resource cleanup does not automatically stop all ongoing work Why JavaScript focuses on cleanup, not termination JavaScript's execution model enforces run-to-completion: once a function begins, it will run to the end of its current synchronous block. The event loop does not allow preemptive interruption. As a result: run-to-completion Forcefully killing a function mid-execution would risk leaving shared state inconsistent. Partial side effects (like partially updated DOM or partially written files) could corrupt the system. Memory safety and predictable execution would be compromised. Forcefully killing a function mid-execution would risk leaving shared state inconsistent. Partial side effects (like partially updated DOM or partially written files) could corrupt the system. Memory safety and predictable execution would be compromised. Instead, JavaScript emphasizes cooperative patterns, where code voluntarily checks for cancellation and exits cleanly. AbortController fits this model: it signals intent, and APIs or functions decide how to respond. cooperative patterns AbortController AbortController as a cleanup trigger Most modern APIs that support AbortSignal focus on clean termination of resources: AbortSignal const controller = new AbortController(); const signal = controller.signal; const stream = someStreamAPI({ signal }); controller.abort(); // triggers cleanup const controller = new AbortController(); const signal = controller.signal; const stream = someStreamAPI({ signal }); controller.abort(); // triggers cleanup Here, stream may stop producing data, close internal buffers, and release file descriptors. Any consuming code can then notice the abort and stop processing further. The work is not forcibly terminated: instead, the API and the caller cooperate to exit safely. stream To stop CPU-intensive tasks or custom computations, developers must check signal.aborted periodically, see the earlier example in the Abort is cooperative by design section. signal.aborted Abort is cooperative by design This combination of cleanup + cooperative exit is the pattern JavaScript provides for cancellation. It preserves safety while allowing developers to reclaim resources and stop long-running operations gracefully. cleanup + cooperative exit Why JavaScript Cannot Forcefully Stop Code One of the reasons cancellation in JavaScript works differently than in other languages is how the language executes code. Understanding this is key to realizing why AbortController cannot magically "kill" a function or promise. AbortController No preemption in JavaScript JavaScript runs on a single-threaded event loop. Each function runs to completion before the next task is executed: function busyLoop() { for (let i = 0; i < 1e9; i++) { // CPU-bound work } console.log('Done!'); } busyLoop(); console.log('This runs only after busyLoop finishes'); function busyLoop() { for (let i = 0; i < 1e9; i++) { // CPU-bound work } console.log('Done!'); } busyLoop(); console.log('This runs only after busyLoop finishes'); While busyLoop() is running, the event loop cannot interrupt it. There is no mechanism to inject code that forcibly stops execution mid-block. This design makes JavaScript predictable, but it also means cancellation must be cooperative. busyLoop() There is no mechanism to inject code that forcibly stops execution mid-block cancellation must be cooperative Why forceful termination would be unsafe Imagine if JavaScript allowed arbitrary termination: Shared mutable state could be left inconsistent: Shared mutable state could be left inconsistent: obj.count++; // terminated here -> obj.count never incremented properly obj.count++; // terminated here -> obj.count never incremented properly Partial updates could corrupt data: Partial updates could corrupt data: arr.push(newItem); // terminated here -> arr in inconsistent state arr.push(newItem); // terminated here -> arr in inconsistent state Promises could never be reliably observed: Promises could never be reliably observed: Consumers expecting a value might never get notified if the underlying task disappears mid-execution. Because JavaScript encourages shared objects and composable async code, preemptive termination is inherently unsafe. preemptive termination is inherently unsafe Why Web Workers don't fundamentally change this Some developers think: "I can just run CPU work in a Web Worker and terminate it." Technically, you can: const worker = new Worker('worker.js'); worker.terminate(); // kills the worker thread const worker = new Worker('worker.js'); worker.terminate(); // kills the worker thread But this is process-level termination, not task-level cancellation: terminate() stops all code in the worker, regardless of what it's doing. There is no granular control over individual tasks or promises inside the worker. Messages in transit may be lost, leaving partially processed data. terminate() stops all code in the worker, regardless of what it's doing. terminate() There is no granular control over individual tasks or promises inside the worker. Messages in transit may be lost, leaving partially processed data. Web Workers provide a way to isolate tasks that might need to be forcibly killed, but inside the main thread, JavaScript still cannot preempt code safely. This is why cooperative signals like AbortController are the preferred pattern: they let code exit voluntarily while cleaning up resources. AbortController How Other Languages Model Cancellation JavaScript's cooperative cancellation model can feel limiting, but looking at other languages helps explain why. Different environments make different trade-offs between safety, control, and composability. Cooperative cancellation (Go, Rust async) Languages like Go and Rust provide explicit mechanisms for cooperative cancellation: Go Rust Go: context propagation Go: context propagation ctx, cancel := context.WithTimeout(context.Background(), time.Second) defer cancel() select { case <-doWork(ctx): fmt.Println("Completed") case <-ctx.Done(): fmt.Println("Cancelled") } ctx, cancel := context.WithTimeout(context.Background(), time.Second) defer cancel() select { case <-doWork(ctx): fmt.Println("Completed") case <-ctx.Done(): fmt.Println("Cancelled") } ctx is passed explicitly to all functions that might need to cancel. The work itself checks the context and exits early. Resources can be cleaned up in a structured way. This is conceptually similar to AbortController in JS: a signal passed down the call chain, requiring cooperation. ctx is passed explicitly to all functions that might need to cancel. ctx The work itself checks the context and exits early. Resources can be cleaned up in a structured way. This is conceptually similar to AbortController in JS: a signal passed down the call chain, requiring cooperation. AbortController Rust: async cancellation Rust: async cancellation Futures in Rust can be polled with a cancellation signal. Tasks yield control points where the runtime can stop work if the signal indicates cancellation. Again, the task itself must check the signal, it cannot be killed mid-instruction. Futures in Rust can be polled with a cancellation signal. Tasks yield control points where the runtime can stop work if the signal indicates cancellation. Again, the task itself must check the signal, it cannot be killed mid-instruction. The key idea is cooperative cancellation: the runtime provides a signal, and the code decides how and when to exit. cooperative cancellation Structured concurrency (Kotlin, Swift) Structured concurrency (Kotlin, Swift) Modern languages like Kotlin (coroutines) and Swift (async/await) take this further with structured concurrency: Kotlin Swift Tasks are tied to a parent scope. When a parent cancels, all child tasks receive a cancellation signal. This ensures that async work is bounded, predictable, and easy to clean up. Tasks are tied to a parent scope. When a parent cancels, all child tasks receive a cancellation signal. This ensures that async work is bounded, predictable, and easy to clean up. Example in Kotlin: val job = launch { val child = launch { repeat(1000) { i -> println("Working $i") delay(100) } } delay(500) child.cancel() // cooperative cancellation } val job = launch { val child = launch { repeat(1000) { i -> println("Working $i") delay(100) } } delay(500) child.cancel() // cooperative cancellation } The pattern enforces lifecycle and cancellation rules without unsafe preemption. Preemptive cancellation (threads) Preemptive cancellation (threads) Other environments, like Java or C#, offer preemptive cancellation via threads: a thread can be interrupted or aborted mid-execution. But this introduces complex safety issues: Java C# Shared mutable state may be left inconsistent. Locks or resources may never be released. Libraries often discourage forced thread termination for safety reasons. Shared mutable state may be left inconsistent. Locks or resources may never be released. Libraries often discourage forced thread termination for safety reasons. JavaScript avoids this entirely on the main thread, because the language relies on shared memory and single-threaded execution. Forceful termination would compromise stability and predictability. Takeaways for JavaScript Cooperative signals, like AbortController, are the closest equivalent to cancellation in Go, Rust, or Kotlin. JavaScript deliberately avoids preemption to maintain safety and simplicity. Many "gotchas" in JS cancellation are the same trade-offs other languages have to manage when they choose safety over brute-force control. Cooperative signals, like AbortController, are the closest equivalent to cancellation in Go, Rust, or Kotlin. AbortController JavaScript deliberately avoids preemption to maintain safety and simplicity. Many "gotchas" in JS cancellation are the same trade-offs other languages have to manage when they choose safety over brute-force control. Practical Patterns for Cancellation in JS Today Understanding the constraints of cancellation is one thing, applying them effectively is another. Modern JavaScript provides tools and patterns to handle cancellation safely and predictably, mostly built around AbortController and cooperative design. AbortController Passing AbortSignal everywhere A good practice is to design APIs to accept an AbortSignal as a first-class parameter: AbortSignal async function fetchWithSignal(url, signal) { const response = await fetch(url, { signal }); const data = await response.json(); return data; } async function fetchWithSignal(url, signal) { const response = await fetch(url, { signal }); const data = await response.json(); return data; } Callers can then create a controller and abort if needed: const controller = new AbortController(); const signal = controller.signal; fetchWithSignal('/api/data', signal) .then(data => console.log(data)) .catch(err => { if (err.name === 'AbortError') console.log('Request cancelled'); else console.error(err); }); // Later controller.abort(); const controller = new AbortController(); const signal = controller.signal; fetchWithSignal('/api/data', signal) .then(data => console.log(data)) .catch(err => { if (err.name === 'AbortError') console.log('Request cancelled'); else console.error(err); }); // Later controller.abort(); This pattern allows cancellation to propagate through multiple layers of API calls and ensures resource cleanup where supported. propagate through multiple layers Making long-running work abortable For CPU-bound tasks or loops, you need to check the signal explicitly. Splitting work into chunks with occasional checks allows cooperative cancellation: async function heavyComputation(signal) { let result = 0; for (let i = 0; i < 1e9; i++) { if (signal.aborted) { console.log('Computation aborted'); return; } result += i; if (i % 1e6 === 0) await Promise.resolve(); // yield to event loop } return result; } async function heavyComputation(signal) { let result = 0; for (let i = 0; i < 1e9; i++) { if (signal.aborted) { console.log('Computation aborted'); return; } result += i; if (i % 1e6 === 0) await Promise.resolve(); // yield to event loop } return result; } Checking signal.aborted lets the function exit early. Yielding occasionally prevents blocking the event loop for too long. Checking signal.aborted lets the function exit early. signal.aborted Yielding occasionally prevents blocking the event loop for too long. This approach mirrors structured concurrency in other languages: tasks cooperate with cancellation and remain responsive. mirrors structured concurrency Designing cancellation-aware APIs When building libraries or components: Accept an AbortSignal instead of inventing custom cancellation flags. Document what cancellation does: Does it stop network requests? Does it free memory or file handles? Does it stop computation? Avoid hidden background work: Ensure that cancelled tasks do not continue modifying shared state. Propagate signals through all dependent operations: If a high-level operation is aborted, all sub-operations should observe the same signal. Accept an AbortSignal instead of inventing custom cancellation flags. AbortSignal Document what cancellation does: Does it stop network requests? Does it free memory or file handles? Does it stop computation? Does it stop network requests? Does it free memory or file handles? Does it stop computation? Does it stop network requests? Does it free memory or file handles? Does it stop computation? Avoid hidden background work: Ensure that cancelled tasks do not continue modifying shared state. Ensure that cancelled tasks do not continue modifying shared state. Ensure that cancelled tasks do not continue modifying shared state. Propagate signals through all dependent operations: If a high-level operation is aborted, all sub-operations should observe the same signal. If a high-level operation is aborted, all sub-operations should observe the same signal. If a high-level operation is aborted, all sub-operations should observe the same signal. Example: async function processBatch(batch, signal) { const results = []; for (const item of batch) { if (signal.aborted) break; results.push(await processItem(item, signal)); } return results; } async function processBatch(batch, signal) { const results = []; for (const item of batch) { if (signal.aborted) break; results.push(await processItem(item, signal)); } return results; } This guarantees predictable cancellation without leaving partial operations or resources dangling. predictable cancellation Combining with React or Node.js React: Pass AbortSignal to fetch or long-running operations inside useEffect, and abort in cleanup functions. Node.js: Many APIs like fs.promises streams or fetch (via node-fetch or native support) accept signals. Use them to prevent lingering resource usage during server shutdowns or request cancellation. React: Pass AbortSignal to fetch or long-running operations inside useEffect, and abort in cleanup functions. AbortSignal fetch useEffect Node.js: Many APIs like fs.promises streams or fetch (via node-fetch or native support) accept signals. Use them to prevent lingering resource usage during server shutdowns or request cancellation. fs.promises fetch node-fetch By consistently using cooperative patterns, signals, and well-designed APIs, you can implement robust cancellation in JavaScript without breaking promises, leaking resources, or creating unsafe preemption. Conclusion: Stop Trying to “Kill” Promises Cancellation in JavaScript is fundamentally different from what developers coming from other languages might expect. Promises are immutable placeholders for future values, not handles to running tasks. There is no built-in mechanism to forcibly stop work, and trying to treat them that way leads to fragile, unpredictable code. immutable placeholders for future values Instead, JavaScript provides cooperative cancellation via AbortController and AbortSignal. These tools allow code to: cooperative cancellation AbortController AbortSignal Signal that work is no longer needed Clean up resources like network connections, streams, or file handles Enable tasks to exit early if they opt in Signal that work is no longer needed Clean up resources like network connections, streams, or file handles Enable tasks to exit early if they opt in The key takeaway is that cancellation is intent, not enforcement. Work only stops when the code performing it checks the signal and responds. CPU-bound loops, synchronous computations, or code outside cooperative APIs continue running until they voluntarily exit. intent, not enforcement By embracing this model: APIs become more predictable and composable Resource leaks and side effects are minimized Async code can handle user-driven interruptions cleanly APIs become more predictable and composable Resource leaks and side effects are minimized Async code can handle user-driven interruptions cleanly Ultimately, cancellation in JavaScript is less about killing promises and more about designing your tasks to be responsive and cooperative. Understanding this distinction allows developers to write robust, maintainable asynchronous code without fighting the language's execution model. designing your tasks to be responsive and cooperative