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ChangesRedis TTL normalization
Priority: ➖ Normal Estimated code review effort: 2 (Simple) | ~10 minutes Change: Bug fix · Severity of issue fixed: Medium Suggested reviewers: Merge Risk: 🔵 Low · up to Negative TTLs are intended to clamp to Redis’s one-second minimum, but that behavior lacks regression coverage. This is a bounded test gap rather than a demonstrated production failure. 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
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Inline comments:
In `@packages/redis/src/kv.test.ts`:
- Line 209: Add a negative Temporal.Duration TTL case to the RedisKvStore.set()
expirySeconds() parameterized test table, asserting it is normalized to at least
1 second before reaching setex(), while preserving the existing zero and
positive TTL coverage.
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CHANGES.mdchanges.d/redis/ttl-whole-seconds.mdpackages/redis/src/kv.test.tspackages/redis/src/kv.ts
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| 1, | ||
| "a near-zero TTL stays at least 1", | ||
| ], | ||
| [Temporal.Duration.from({ seconds: 0 }), 1, "a zero TTL stays at least 1"], |
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🎯 Functional Correctness | 🟡 Minor | ⚡ Quick win
Add a negative TTL regression case.
RedisKvStore.set() passes options.ttl through expirySeconds() before calling setex(). The current table does not exercise a negative Temporal.Duration, and the end-to-end test covers only positive TTLs. A regression could therefore pass a negative TTL to SETEX without detection.
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In `@packages/redis/src/kv.test.ts` at line 209, Add a negative Temporal.Duration
TTL case to the RedisKvStore.set() expirySeconds() parameterized test table,
asserting it is normalized to at least 1 second before reaching setex(), while
preserving the existing zero and positive TTL coverage.
After applying the fix, consider running `coderabbit review --agent` for local
review. Visit https://docs.coderabbit.ai/cli?utm_source=ghpr
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Please address this by adding a negative TTL case to the regression table if we keep the one-second floor for non-positive durations.
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Added. The regression table now carries −1ms, −30s and −1h alongside the existing zero and positive cases, and each row additionally asserts the result is a whole positive number rather than only a whole one. The REDIS_URL-gated end-to-end test writes with a −30s TTL and checks the key comes back with TTL 1.
They are not redundant with the zero case. An implementation that clamped zero to one second but let negatives through passes the table as it originally stood, and reaches SETEX with an expiry it rejects; with the new rows that mutation fails on a negative TTL stays at least 1, and the gated test fails with ERR invalid expire time in 'setex' command. The full mutation table is in the PR description.
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Seems like the humans are having a chat. I'll hop back into my burrow for now. If you need me again, just tag @coderabbitai in a new comment, and I'll come hopping out!
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| 1, | ||
| "a near-zero TTL stays at least 1", | ||
| ], | ||
| [Temporal.Duration.from({ seconds: 0 }), 1, "a zero TTL stays at least 1"], |
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Please address this by adding a negative TTL case to the regression table if we keep the one-second floor for non-positive durations.
| /** | ||
| * Turns a TTL into the whole number of seconds Redis `SETEX` requires. | ||
| * | ||
| * Redis expiries have one-second granularity, so a duration that is not a |
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Please qualify this as a SETEX limitation here, in the changelog, and in the PR description. Redis supports millisecond expiries through SET with PX; one second is the minimum for the command this adapter currently uses. Keeping SETEX for this fix is fine.
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Done — the helper now says the one-second granularity belongs to SETEX rather than to Redis, and points at SET with PX as the millisecond-capable alternative. The same qualification is in the changelog fragment and in the PR description.
Reframed: the one-second granularity is SETEX's, not Redis's. If you'd prefer exact sub-second expiry, switching set() to SET … PX would remove the rounding — and with it the zero and negative edge cases — entirely. I kept SETEX here to stay minimal on a maintenance branch and because #1028 asked for normalisation rather than a new expiry path, and you've said keeping it is fine; I'm noting it so the choice is on the record rather than implied, and I'm happy to do the PX version instead if you'd rather have the precision.
| * sub-second duration stores the value instead of being rejected. | ||
| */ | ||
| function expirySeconds(ttl: Temporal.Duration): number { | ||
| return Math.max(1, Math.ceil(ttl.total("second"))); |
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Please document explicitly that zero and negative TTLs now store the value for one second. The issue suggests a positive-integer floor, but does not separately settle negative TTL semantics. The current behavior is a policy choice, and the rationale about preserving the requested lifetime does not explain these cases.
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Done. Both the helper and set() now state that a zero or negative duration stores the value for one second, and say plainly that this is a policy choice rather than a consequence of the rounding — the other KvStore implementations read a non-positive TTL as already expired, while this one keeps the value for the shortest lifetime SETEX can express, on the grounds that storing it briefly is closer to the caller's request than failing the write.
The note is on set() as well because the helper is not exported, so its TSDoc would not reach users. The changelog fragment says it too.
The alternative reading — deleting the key for a non-positive TTL, which is what "already expired" would mean here — is noted in the PR description rather than implemented. Say the word if you would rather have that.
| [#1014]: https://github.com/fedify-dev/fedify/issues/1014 | ||
| [#1032]: https://github.com/fedify-dev/fedify/issues/1032 | ||
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| ### @fedify/redis |
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The current lint job fails because sacho check reports that CHANGES.md is out of sync with the fragments. Please update the branch against 2.0-maintenance and regenerate the changelog with sacho sync, then verify sacho check passes.
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Fixed. The branch is rebased onto the current 2.0-maintenance (d863a12) and the changelog regenerated with sacho sync; sacho check passes locally.
The cause was a stale base rather than the sync itself. The branch was cut at 9c8ec49, and 2.0.27 has been released since — so the fragment's entry was still being materialised into a 2.0.27 unreleased section that no longer exists. After the rebase it lands under 2.0.28, with the [#1034] reference link that the previous run had left only in the fragment.
`RedisKvStore.set()` passed `options.ttl.total("second")` straight to
Redis `SETEX`, which accepts only whole seconds. Any `Temporal.Duration`
that was not an exact number of seconds was rejected with `ERR value is
not an integer or out of range`, and a zero duration with `ERR invalid
expire time in 'setex' command`, so the write failed rather than storing
the value with an approximated expiry. `KvStoreSetOptions.ttl` is public
API and accepts any duration, so application code reaches this.
Round up rather than to the nearest second. Every other `KvStore`
implementation keeps a value for at least as long as it was asked to —
SQLite and Deno KV to the millisecond, PostgreSQL to the full interval —
and the Cloudflare Workers adapter already clamps upward with
`Math.max(ttl, 60)` where the backend cannot express a short expiry.
Expiring early is also the direction that can change behaviour rather
than cost a refetch: a TTL used to suppress duplicate work, as the inbox
listener does, would start letting duplicates through. Clamp the result
to 1, the smallest expiry `SETEX` accepts, so a sub-second or zero
duration stores the value instead of failing.
Cover the conversion with a test that records what `set()` hands to
`SETEX`, which runs without a Redis server, and the end-to-end behaviour
with a `REDIS_URL`-gated test. Both use `node:test` directly: a test
registered through `@fedify/fixture` does not run under Node.js at all,
since its registration path needs `require`, so a test written that way
would have reported success on Node.js without executing.
Fixes fedify-dev#1028
Assisted-by: Claude Code:claude-opus-5
The fragment could only cite the issue when it was written, since the pull request did not exist yet. Released entries in this changelog carry both numbers. Assisted-by: Claude Code:claude-opus-5
Per review on the pull request. The one-second granularity belongs to `SETEX`, not to Redis, which can express a millisecond expiry through `SET` with `PX`. Say so in the helper's documentation and in the changelog rather than attributing the limit to the server. Document the non-positive cases explicitly. A zero or negative duration stores the value for one second, which is a policy choice and not a consequence of the rounding: the other `KvStore` implementations read a non-positive TTL as already expired, while this one keeps the value for the shortest lifetime `SETEX` can express, on the grounds that storing it briefly is closer to the request than failing the write. The note goes on `set()` as well as the helper, since the helper is not exported and its documentation is not user-visible. Add negative durations to the regression table and to the gated end-to-end test. The zero case alone did not pin them: an implementation that clamped zero to one second and let negatives through would have passed the table as it stood, and reached `SETEX` with an expiry it rejects. Regenerate the changelog against the current branch tip, which has moved to 2.0.28 since 2.0.27 was released. Assisted-by: Claude Code:claude-opus-5
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Thanks — all four are in, in 9bff789, on top of a rebase onto the current 2.0-maintenance.
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Summary
RedisKvStore.set()passedoptions.ttl.total("second")straight to RedisSETEX, which takes only whole seconds. AnyTemporal.Durationthat was notan exact number of seconds was rejected by the server, so the write failed
instead of storing the value with an approximated expiry. The TTL is now
rounded up to the next whole second, with a floor of one second.
The one-second granularity is
SETEX's, not Redis's —SETwithPXexpressesmillisecond expiries — so the rounding is a property of the command this
adapter uses rather than of the server.
Targets 2.0-maintenance rather than main, per @dahlia's direction on the
issue: "Confirmed that this reproduces in 2.0.x. Since this is a bug fix,
please target
2.0-maintenancerather thanmain." (comment) The issuewas filed against main; the reproduction below was re-run on
2.0-maintenance rather than assumed.
This is a fork PR, so the workflows land as
action_required— they need amaintainer to approve the run before CI can report.
Related issue
RedisKvStore.set()rejects any TTL that is not a whole number of seconds #1028Reproduction
Against Redis 7.4.11 (
redis:7-alpinein Docker) on 2.0-maintenance at9c8ec49, writing the same value with each TTL and reading back
PTTL:ttl.total("second")1pttl1000pttl9991.5ERR value is not an integer or out of rangepttl19990.5ERR value is not an integer or out of rangepttl9990.001ERR value is not an integer or out of rangepttl9990ERR invalid expire time in 'setex' commandpttl1000A whole number of seconds is unchanged, so nothing that worked before behaves
differently.
Why round up rather than to the nearest second
Rounding to the nearest second would shorten an expiry by up to half a second.
Rounding up never shortens one, and three things point the same way:
Every other
KvStoreimplementation keeps a value for at least as long as itwas asked to.
SqliteKvStorettl.total({ unit: "milliseconds" })DenoKvStoreexpireIn: ttl.total("millisecond")PostgresKvStorettl.toString()into anintervalWorkersKvStoreMath.max(ttl.total("seconds"), 60)Redis is the only backend here that has to approximate, and the Workers adapter
already establishes that when a backend cannot express the requested lifetime,
this codebase extends it rather than cutting it short. Rounding down would
make Redis the only adapter that can drop a value before its TTL.
The costs are asymmetric. Expiring late costs at most one extra second of
staleness on a cache. Expiring early can change behaviour: a TTL used to
suppress duplicate work starts letting duplicates through. Fedify does exactly
that — the inbox listener and the queue handler both mark an activity as
processed with
kv.set(cacheKey, true, { ttl: 1 day }).It matches the issue's expected behaviour. "A sub-second TTL is expected to
be normalized to the smallest expiry Redis can express" is what rounding up
produces for the sub-second cases.
In practice nothing in the library on this branch is affected either way, since
every TTL Fedify itself passes is already a whole number of seconds. The
reachable path is application code, which
KvStoreSetOptions.ttlopens to anyTemporal.Duration, and which #1027 made easier to hit on newer branches byletting an application choose
publicKeyTtlandhttpMessageSignaturesSpecTtldirectly.Changes
expirySeconds(), which returnsMath.max(1, Math.ceil(ttl.total("second"))), and call it fromset().The
Math.maxmatters only whenMath.ceilyields zero — a zero ornegative duration — and it documents why the rounding goes up.
RedisKvStorehas nocas()method, soset()is the only call site.Verification
The regression tests fail without the patch. Reverting
set()to pass theraw total fails both of them; the end-to-end one reports the error from the
issue verbatim:
Each half of the expression is pinned by its own assertion.
Math.max(1, Math.ceil(…))→ttl.total("second")ReplyErroraboveMath.ceil→Math.round1.4s rounds up, not to the nearest second—1 !== 2Math.max(1, …)floora zero TTL stays at least 10, keep zero at1a negative TTL stays at least 1The
Math.roundmutation is the one that matters for review: it still producesa whole positive number for every case in the issue's table, and only the 1.4-
second case separates it from
Math.ceil. The last row is why the negativecases are not redundant with the zero one — an implementation that clamped zero
to one second and let negatives through would have passed the table as it
originally stood, and reached
SETEXwith an expiry it rejects.One test needs no Redis server.
RedisKvStore.set() rounds a TTL up to whole secondspasses the store a stand-in client that records whatset()hands to
SETEX, and checks the exact integer for 1s, 5min, 1.5s, 1.4s, 500ms,1ms, 0, −1ms, −30s and −1h, asserting each result is a whole positive number.
RedisKvStore.set() stores a sub-second TTLisREDIS_URL-gated and covers theend-to-end behaviour, including a −30s TTL and that a 30-second TTL still reads
back as 30.
Both new tests use
node:testdirectly rather than@fedify/fixture, becausea test registered through the fixture does not run under Node.js in this
package. The fixture's Node.js branch calls
require("node:test")inside atrywith an emptycatch;requireis not defined in an ES module, soregistration fails silently wherever the Node.js run loads ES modules — which
is the case here, since
@fedify/redisrunsnode --experimental-transform- types --testover the ES-module sources. A test that must fail reportssuccess:
Written with the fixture, the server-free test above — the one whose whole
point is to run where there is no Redis — would have reported a pass on
Node.js without executing.
packages/postgres/src/kv.test.tsalready importstestfromnode:testdirectly, so this follows existing practice in therepository.
The nine pre-existing
@fedify/redisfixture tests are affected by the samegap, and so is most of the monorepo: of the 229 fixture-registered tests across
40 files, only the one in
@fedify/webfingerexecutes on Node.js, because thatpackage ships a
.cjstest build alongside the ESM one andrequireworksthere.
@fedify/fedify's own Node.js run reports 28 passing tests that areall bare
.mjsfile entries. None of that is this fix's to repair — it isnoted here only to explain the import choice, and is worth a separate issue.
Branch and changelog. Rebased onto the current 2.0-maintenance
(d863a12). 2.0.27 was released in the meantime, so the entry now sits under
2.0.28 and the fragment was regenerated with
sacho sync;sacho checkpasses.Tests.
@fedify/redis: Deno 14 passed / 0 failed, Bun 14 passed / 0failed, Node.js 7 passed / 0 failed. The Node.js number is lower for the
reason just described, not because anything was skipped there.
mise run checkpasses,sacho checkincluded.AI use
Claude Opus 5 assisted with the patch, the tests, and running the checks above;
the commit carries an
Assisted-bytrailer. Every number in this descriptionwas measured against a real Redis instance rather than inferred from reading
the code.
Checklist
feature)? — not a new feature; the rounding is documented on
expirySeconds().fix)?
mise teston your machine? — yes, for@fedify/redisonall three runtimes; see Verification.
Additional notes
to fail with
ERR invalid expire time in 'setex' command, so this isstrictly better than the current behaviour, but it is not what the other
adapters do: they read a non-positive TTL as already expired. This is a
policy choice rather than a consequence of the rounding, and it is now
documented as one on
set()and on the helper. An alternative would be todelete the key instead of storing it for one second, which matches how the
other adapters read a non-positive TTL. I kept the one-second floor because
it is the smallest expiry
SETEXcan express and because deleting onset()is a larger behavioural change than this fix needs; happy to switchif you prefer the other reading.
SETEX's, not Redis's. If youwould prefer exact sub-second expiry, switching
set()toSET … PXwouldremove the rounding — and with it the zero and negative edge cases —
entirely. I kept
SETEXhere to stay minimal on a maintenance branch andbecause
RedisKvStore.set()rejects any TTL that is not a whole number of seconds #1028 asked for normalisation rather than a new expiry path, andyou have said keeping it is fine; noting the option so the choice is on the
record rather than implied.
lifetimes a
KvStoreholds, that is an extra second of staleness at worst.every whole number of seconds, which is all Fedify itself uses — produces
the same
SETEXargument as before.