The WeakRef proposal encompasses two major new pieces of functionality:
WeakRef classFinalizationRegistry classThese interfaces can be used independently or together, depending on the use case.
For developer reference documentation, see reference.md.
This proposal contains two advanced features, WeakRef and FinalizationRegistry. Their correct use takes careful thought, and they are best avoided if possible.
Garbage collectors are complicated. If an application or library depends on GC cleaning up a WeakRef or calling a finalizer in a timely, predictable manner, it's likely to be disappointed: the cleanup may happen much later than expected, or not at all. Sources of variability include:
Important logic should not be placed in the code path of a finalizer. Doing so could create user-facing issues triggered by memory management bugs, or even differences between JavaScript garbage collector implementations. For example, if data is saved persistently solely from a finalizer, then a bug which accidentally keeps an additional reference around could lead to data loss.
For this reason, the W3C TAG Design Principles recommend against creating APIs that expose garbage collection. It's best if WeakRef objects and FinalizationRegistry objects are used as a way to avoid excess memory usage, or as a backstop against certain bugs, rather than as a normal way to clean up external resources or observe what's allocated.
A weak reference to an object is not enough to keep the object alive: when the only remaining references to a referent (i.e. an object which is referred to by a weak reference) are weak references, garbage collection is free to destroy the referent and reuse its memory for something else. However, until the object is actually destroyed, the weak reference may return the object even if there are no strong references to it.
A primary use for weak references is to implement caches or mappings holding large objects, where it’s desired that a large object is not kept alive solely because it appears in a cache or mapping.
For example, if you have a number of large binary image objects (e.g. represented as ArrayBuffers), you may wish to associate a name with each image. Existing data structures just don't do what's needed here:
Map to map names to images, or images to names, the image objects would remain alive just because they appeared as values or keys in the map.WeakMaps are not suitable for this purpose either: they are weak over their keys, but in this case, we need a structure which is weak over its values.Instead, we can use a Map whose values are WeakRef objects, which point to the ArrayBuffer. This way, we avoid holding these ArrayBuffer objects in memory longer than they would be otherwise: it's a way to find the image object if it's still around, but if it gets garbage collected, we'll regenerate it. This way, less memory is used in some situations.
// This technique is incomplete; see below.
function makeWeakCached(f) {
const cache = new Map();
return key => {
const ref = cache.get(key);
if (ref) {
const cached = ref.deref();
if (cached !== undefined) return cached;
}
const fresh = f(key);
cache.set(key, new WeakRef(fresh));
return fresh;
};
}
var getImageCached = makeWeakCached(getImage);This technique can help avoid spending a lot of memory on ArrayBuffers that nobody is looking at anymore, but it still has the problem that, over time, the Map will fill up with strings which point to a WeakRef whose referent has already been collected. One way to address this is to periodically scavenge the cache and clear out dead entries. Another way is with finalizers, which we’ll come back to at the end of the article.
A few elements of the API are visible in this example:
WeakRef constructor takes an argument, which has to be an object, and returns a weak reference to it.WeakRef instances have a deref method that returns one of two values:
undefined, if nothing else was pointing to the object and it was already garbage-collected.Finalization is the execution of code to clean up after an object that has become unreachable to program execution. User-defined finalizers enable several new use cases, and can help prevent memory leaks when managing resources that the garbage collector doesn't know about.
Finalizers are tricky business and it is best to avoid them. They can be invoked at unexpected times, or not at all---for example, they are not invoked when closing a browser tab or on process exit. They don’t help the garbage collector do its job; rather, they are a hindrance. Furthermore, they perturb the garbage collector’s internal accounting. The GC decides to scan the heap when it thinks that it is necessary, after some amount of allocation. Finalizable objects almost always represent an amount of allocation that is invisible to the garbage collector. The effect can be that the actual resource usage of a system with finalizable objects is higher than what the GC thinks it should be.
The proposed specification allows conforming implementations to skip calling finalization callbacks for any reason or no reason. Some reasons why many JS environments and implementations may omit finalization callbacks:
All that said, sometimes finalizers are the right answer to a problem. The following examples show a few important problems that would be difficult to solve without finalizers.
Finalizers can locate external resource leaks. For example, if an open file is garbage collected, the underlying operating system resource could be leaked. Although the OS will likely free the resources when the process exits, this sort of leak could make long-running processes eventually exhaust the number of file handles available. To catch these bugs, a FinalizationRegistry can be used to log the existence of file objects which are garbage collected before being closed.
The FinalizationRegistry class represents a group of objects registered with a common finalizer callback. This construct can be used to inform the developer about the never-closed files.
class FileStream {
static #cleanUp(heldValue) {
console.error(`File leaked: ${file}!`);
}
static #finalizationGroup = new FinalizationRegistry(FileStream.#cleanUp);
#file;
constructor(fileName) {
this.#file = new File(fileName);
FileStream.#finalizationGroup.register(this, this.#file, this);
// eagerly trigger async read of file contents into this.data
}
close() {
FileStream.#finalizationGroup.unregister(this);
File.close(this.#file);
// other cleanup
}
async *[Symbol.iterator]() {
// read data from this.#file
}
}
const fs = new FileStream('path/to/some/file');
for await (const data of fs) {
// do something
}
fs.close();Note, it's not a good idea to close files automatically through a finalizer, as this technique is unreliable and may lead to resource exhaustion. Instead, explicit release of resources (e.g., though try/finally) is recommended. For this reason, this example logs errors rather than transparently closing the file.
This example shows usage of the whole FinalizationRegistry API:
register method of FinalizationRegistry. In this case, three arguments are passed to the register method:
this, the FileStream object.File object. (Note: the held value should not have a reference to the weak target, as that would prevent the target from being collected.)unregister method when the finalizer is no longer needed. Here we use this, the FileStream object itself, since FinalizationRegistry doesn't hold a strong reference to the unregister token.FinalizationRegistry constructor is called with a callback as an argument. This callback is called with a held value.The finalizer callback is called after the object is garbage collected, a pattern which is sometimes called "post-mortem". For this reason, the FinalizerRegistry callback is called with a separate held value, rather than the original object--the object's already gone, so it can't be used.
In the above code sample, the fs object will be unregistered as part of the close method, which will mean that the finalizer will not be called, and there will be no error log statement. Unregistration can be useful to avoid other sorts of "double free" scenarios.
Whenever you have a JavaScript object that is backed by something in WebAssembly, you might want to run custom cleanup code (in WebAssembly or JavaScript) when the object goes away. A previous proposal exposed a collection of weak references, with the idea that finalization actions could be taken by periodically checking if they are still alive. This proposal includes a first-class concept of finalizers in order to give developers a way to avoid that repeated scanning.
For example, imagine if you have a big WebAssembly.Memory object, and you want to create an allocator to give fixed-size portions of it to JavaScript. In some cases, it may be practical to explicitly free this memory, but typically, JavaScript code passes around references freely, without thinking about ownership. So it's helpful to be able to rely on the garbage collector to release this memory. A FinalizationRegistry can be used to free the memory.
function makeAllocator(size, length) {
const freeList = Array.from({length}, (v, i) => size * i);
const memory = new ArrayBuffer(size * length);
const finalizationGroup = new FinalizationRegistry(
held => freeList.unshift(held));
return { memory, size, freeList, finalizationGroup };
}
function allocate(allocator) {
const { memory, size, freeList, finalizationGroup } = allocator;
if (freeList.length === 0) throw new RangeError('out of memory');
const index = freeList.shift();
const buffer = new Uint8Array(memory, index * size, size);
finalizationGroup.register(buffer, index);
return buffer;
}This code uses a few features of the FinalizationRegistry API:
register method of FinalizationRegistry. In this case, two arguments are passed to the register method:
Uint8ArrayWebAssembly.Memory object.FinalizationRegistry constructor is called with a callback as an argument. This callback is called with a held value.The FinalizationRegistry callback is called potentially multiple times, once for each registered object that becomes dead, with a relevant held value. The callback is not called during execution of other JavaScript code, but rather "in between turns". The engine is free to batch calls, and a batch of calls only runs after all of the Promises have been processed. How the engine batches callbacks is implementation-dependent, and how those callbacks intersperse with Promise work should not be depended upon.
In a browser with web workers, a programmer can create a system with multiple JavaScript processes, and thus multiple isolated heaps and multiple garbage collectors. Developers often want to be able to address a "remote" object from some other process, for example to be able to manipulate the DOM from a worker. A common solution to this problem is to implement a proxy library; two examples are Comlink and via.js.
In a system with proxies and processes, remote proxies need to keep local objects alive, and vice versa. Usually this is implemented by having each process keep a table mapping remote descriptors to each local object that has been proxied. However, these entries should be removed from the table when there are no more remote proxies. With the finalization functionality in the WeakRef proposal, libraries like via.js can send a message when a proxy becomes collectable, to inform the object's process that the object is no longer referenced remotely. Without finalization, via.js and other remote-proxy systems have to fall back to leaking memory, or to manual resource management.
Note: This kind of setup cannot collect cycles across workers. If in each worker the local object holds a reference to a proxy for the remote object, then the remote descriptor for the local object prevents the collection of the proxy for the remote object. None of the objects can be collected automatically when code outside the proxy library no longer references them. To avoid leaking, cycles across isolated heaps must be explicitly broken.
WeakRef objects and FinalizationRegistry objects togetherIt sometimes makes sense to use WeakRef and FinalizationRegistry together. There are several kinds of data structures that want to weakly point to a value, and do some kind of cleanup when that value goes away. Note however that weak refs are cleared when their object is collected, but their associated FinalizationRegistry cleanup handler only runs in a later task; programming idioms that use weak refs and finalizers on the same object need to mind the gap.
In the initial example from this README, makeWeakCached used a Map whose values were wrapped in WeakRef instances. This allowed the cached values to be collected, but leaked memory in the form of the entries in the map. A more complete version of makeWeakCached uses finalizers to fix this memory leak.
// Fixed version that doesn't leak memory.
function makeWeakCached(f) {
const cache = new Map();
const cleanup = new FinalizationRegistry(key => {
// See note below on concurrency considerations.
const ref = cache.get(key);
if (ref && !ref.deref()) cache.delete(key);
});
return key => {
const ref = cache.get(key);
if (ref) {
const cached = ref.deref();
// See note below on concurrency considerations.
if (cached !== undefined) return cached;
}
const fresh = f(key);
cache.set(key, new WeakRef(fresh));
cleanup.register(fresh, key);
return fresh;
};
}
var getImageCached = makeWeakCached(getImage);This example illustrates two important considerations about finalizers:
makeWeakCached above. A profusion of FinalizationRegistry uses spread throughout a code-base is a code smell.In certain advanced cases, WeakRef objects and FinalizationRegistry objects can be very effective complements. For example, WeakMaps have the limitation that they cannot be iterated over or cleared. The WeakRefs proposal enables creating an “iterable + clearable WeakMap”:
Such “iterable WeakMaps” are already used in existing DOM APIs such as document.getElementsByClassName or document.getElementsByTagName, which return live HTMLCollections. As such, the WeakRef proposal adds missing functionality that helps explain existing web platform features. Issue #17 describes a similar use case.
class IterableWeakMap {
#weakMap = new WeakMap();
#refSet = new Set();
#finalizationGroup = new FinalizationRegistry(IterableWeakMap.#cleanup);
static #cleanup({ set, ref }) {
set.delete(ref);
}
constructor(iterable) {
for (const [key, value] of iterable) {
this.set(key, value);
}
}
set(key, value) {
const ref = new WeakRef(key);
this.#weakMap.set(key, { value, ref });
this.#refSet.add(ref);
this.#finalizationGroup.register(key, {
set: this.#refSet,
ref
}, ref);
}
get(key) {
const entry = this.#weakMap.get(key);
return entry && entry.value;
}
delete(key) {
const entry = this.#weakMap.get(key);
if (!entry) {
return false;
}
this.#weakMap.delete(key);
this.#refSet.delete(entry.ref);
this.#finalizationGroup.unregister(entry.ref);
return true;
}
*[Symbol.iterator]() {
for (const ref of this.#refSet) {
const key = ref.deref();
if (!key) continue;
const { value } = this.#weakMap.get(key);
yield [key, value];
}
}
entries() {
return this[Symbol.iterator]();
}
*keys() {
for (const [key, value] of this) {
yield key;
}
}
*values() {
for (const [key, value] of this) {
yield value;
}
}
}
const key1 = { a: 1 };
const key2 = { b: 2 };
const keyValuePairs = [[key1, 'foo'], [key2, 'bar']];
const map = new IterableWeakMap(keyValuePairs);
for (const [key, value] of map) {
console.log(`key: ${JSON.stringify(key)}, value: ${value}`);
}
// key: {"a":1}, value: foo
// key: {"b":2}, value: bar
for (const key of map.keys()) {
console.log(`key: ${JSON.stringify(key)}`);
}
// key: {"a":1}
// key: {"b":2}
for (const value of map.values()) {
console.log(`value: ${value}`);
}
// value: foo
// value: bar
map.get(key1);
// → foo
map.delete(key1);
// → true
for (const key of map.keys()) {
console.log(`key: ${JSON.stringify(key)}`);
}
// key: {"b":2}Remember to be cautious with use of powerful constructs like this iterable WeakMap. Web APIs designed with semantics analogous to these are widely considered to be legacy mistakes. It’s best to avoid exposing garbage collection timing in your applications, and to use weak references and finalizers only where a problem cannot be reasonably solved in other ways.
It is not possible to re-create a WeakMap simply by using a Map with WeakRef objects as keys: if the value in such a map references its key, the entry cannot be collected. A real WeakMap implementation uses ephemerons to allow the garbage collector to handle such cycles.\
This is the reason the IterableWeakMap example keeps the value in a WeakMap and only puts the WeakRef in a Set for iterations. If the value had instead been added to a Map such as this.#refMap.set(ref, value), then the following would have leaked:
let key = { foo: 'bar' };
const map = new IterableWeakMap(key, { data: 123, key });.deref() callsThere are several conditions where implementations may call finalization callbacks later or not at all. The WeakRefs proposal works with host environments (e.g., HTML, Node.js) to define exactly how the FinalizationRegistry callback is scheduled. The intention is to coarsen the granularity of observability of garbage collection, making it less likely that programs will depend too closely on the details of any particular implementation.
In the definition for HTML, the callback is scheduled in task queued in the event loop. What this means is that, on the web, finalizers will never interrupt synchronous JavaScript, and that they also won't be interspersed to Promise reactions. Instead, they are run only after JavaScript yields to the event loop.
The WeakRefs proposal guarantees that multiple calls to WeakRef.prototype.deref() return the same result within a certain timespan: either all should return undefined, or all should return the object. In HTML, this timespan runs until a microtask checkpoint, where HTML performs a microtask checkpoint when the JavaScript execution stack becomes empty, after all Promise reactions have run.