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Ensure fetch cache TTL is updated properly (#69164)
To reduce the number of set requests we were sending upstream we added an optimization to skip sending the set request if the cached data didn't change after a revalidation. The problem with this optimization is the upstream service relies on this set request to know to update the cache entries TTL and consider it up to date. This causes unexpected revalidations while the cache value hasn't changed and the TTL is kept stale. x-ref: NEXT-3693
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33 changes: 33 additions & 0 deletions
33
test/production/app-dir/fetch-cache/app/not-changed/page.tsx
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Original file line number | Diff line number | Diff line change |
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import { unstable_cache } from 'next/cache' | ||
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export const dynamic = 'force-dynamic' | ||
export const fetchCache = 'default-cache' | ||
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// this is ensuring we still update TTL even | ||
// if the cache value didn't change during revalidate | ||
const stableCacheItem = unstable_cache( | ||
async () => { | ||
return 'consistent value' | ||
}, | ||
[], | ||
{ | ||
revalidate: 3, | ||
tags: ['thankyounext'], | ||
} | ||
) | ||
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export default async function Page() { | ||
const data = await fetch('https://example.vercel.sh', { | ||
next: { tags: ['thankyounext'], revalidate: 3 }, | ||
}).then((res) => res.text()) | ||
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const cachedValue = stableCacheItem() | ||
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return ( | ||
<> | ||
<p>hello world</p> | ||
<p id="data">{data}</p> | ||
<p id="cache">{cachedValue}</p> | ||
</> | ||
) | ||
} |
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