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Bug: Inefficiency when hooks return multiple values #29117
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Thanks for posting. A simplified version of what's going on here is this: const [data, refetch] = useData();
const y = deepClone(data); // y becomes mutable here
const t0 = <button onClick={refetch}> // this button gets memoized with `y`, so `refetch` becomes a dependency
const t1 = maybeMutate(y); // y is last mutated here
return <>{t0}{t1}</>; Ie, the compiler currently sees I'm going to close this since it's working as designed, but we will be working over time to type more builtins, including JSON.stringify. |
Ok, probably the answer I was looking for is in:
So that means that React compiler does not auto memoize everything with the correct dependencies. When you memoize const y = useMemo(() => deepClone(data), [data]); while what React compiler does is more equivalent to: const y = useMemo(() => deepClone(refetch), [data, refetch]); // With refetch also invalidating the memo'd value This perhaps should be noted in the docs somewhere that you may need to memo by hand in such cases that "precise dependencies" matter. |
No. The compiler does a conservative analysis and uses the correct set of dependencies given the values that are being memoized. In this case, there are two values being memoized together, so we emit the union of their dependencies. That is the only correct thing to do. There are alternative ways we could memoize — for example, entering, exiting, and re-entering memoization blocks — that have different tradeoffs. We may explore those later, but so far we've found that they have unacceptable tradeoffs such as high code size. |
React compiler inefficiently re-evaluates code when dependencies that do not affect the result have changed. Specifically, when the hook returns multiple values.
Input code:
Check the output JS here - Link to Playground
Steps To Reproduce
deepClone(data)
is re-evaluated when refetch changes.Check the playground link above ^
The current behavior
y = deepClone(data);
is re-evaluated whenever refetch changes, even if data remains the same.y
independently from other variables liket1
.The expected behavior
y
should be memoized separately to avoid re-computation when only refetch changes and data remains the same.The text was updated successfully, but these errors were encountered: