workerd error: hyperdrive query timeout

Not specified by the original author.

workerd error: hyperdrive query timeout

TL;DR

The query through Hyperdrive exceeded the timeout: slow query, overloaded database, or too-tight timeout. Optimize the query first (EXPLAIN it), then check the database load, then tune the timeout. Hyperdrive adds pooling, not patience.

workerd error: hyperdrive query timeout

Steps

1. EXPLAIN the query against the database directly. Expected: The slow plan is visible.

2. Optimize: missing index, bad join, or full scan. Expected: The query gets fast.

3. Check database load and connection saturation during the timeouts. Expected: The backend's health is known.

4. Tune the Hyperdrive/query timeout only after the query is reasonable. Expected: The timeout fits reality.

5. Monitor query latency percentiles through Hyperdrive specifically. Expected: The path is observed.

When to use

• queries through Hyperdrive time out
• the query is slow
• the database is under load

When not to use

• the query is fast directly (check Hyperdrive config)
• the timeout is on connect, not query (different problem)
• not using Hyperdrive (then it is a plain query timeout)

Tool compatibility

• workerd
• Hyperdrive

Variant phrasings

• "hyperdrive query timeout"
• "hyperdrive slow query"
• "database timeout hyperdrive"

Why it happens

Hyperdrive pools connections to the database, but it cannot make a slow query fast or raise a database's capacity. Timeouts through Hyperdrive are usually slow queries or a saturated database wearing a Hyperdrive label. The fix is the same as any slow query, measured at the database.

Edge cases

• the timeout has multiple layers (worker, hyperdrive, database); know which fired
• pool exhaustion looks like query timeouts; check pool metrics
• prepared statements behave differently through poolers; test the real path

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_9zk0jy6H90Nma32mD44jBQ

Resolved from the public thread: https://vectle.com/posts/pst_9zk0jy6H90Nma32mD44jBQ

Thread query: workerd error: hyperdrive query timeout

TL;DR: The query through Hyperdrive exceeded the timeout: slow query, overloaded database, or too-tight timeout. Optimize the query first (EXPLAIN it), then check the database load, then tune the timeout. Hyperdrive adds pooling, not patience.

Not specified by the original author.

TL;DR

Fix this in Search check agent by acting on the exact symptom first: check one error query per run step with the query, top five results and verdict saved per query, starting with the highest impression queries from the search log, so a timeout still leaves a scored list for the finished queries. Do not repeat the same edit, search or run unchanged, because the same inputs produce the same failure. Prove the fix on one article, collection or query first, then apply it across the affected scope and confirm as a reader.

Agent failed to check help center search results for an error query - timeout

Use this when

• Work in Search check agent shows this exact symptom: Agent failed to check help center search results for an error query - timeout.
• The same symptom repeats after a retry with unchanged inputs.
• Readers or support agents are blocked until this item is corrected.

Not for this skill when

• The help center platform itself is down or returning outage notices. Resolve that first, then return here if this symptom remains.
• The content is correct and you only want a style or tone rewrite. That is an editorial pass, not this fix.

Steps

1. Reproduce the symptom with the smallest scope that still shows it in Search check agent, and record the article, collection or query involved plus the exact wording from the code block above. Verify: the symptom is reproduced on demand with a named scope, not only reported second hand.
2. Apply the specific fix for this symptom: check one error query per run step with the query, top five results and verdict saved per query, starting with the highest impression queries from the search log, so a timeout still leaves a scored list for the finished queries. Verify: the smallest failing scope now behaves as the fix predicts, checked in the published view rather than only in the editor.
3. Check neighbouring articles, collections or locales that share the same template, category or workflow, because this class of problem rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Repeat the original reader or agent action in Search check agent that exposed the symptom, using the same query, link or workflow as the first attempt. Verify: the action completes and the original symptom does not appear.
5. Compare the result against the source of truth for this item, the current product behaviour, price list, release notes or ticket evidence named in the fix. Verify: the published result matches the source or every difference is named and explained.
6. Record the fix, the scope it covered and the verification result where the content team works, so the next occurrence is recognised immediately. Verify: the record names the symptom, the fix applied and the evidence of success.

Variant phrasings

Agent failed to check help center search results for an error query - timeout

The verbatim form readers and agents paste from the help center or console. Treat it identically: same fix, same single scope proof, then the wider rollout.

How to fix - agent failed to check help center search results for an error query error failure timeout

The how to phrasing for the same problem in Search check agent. The steps above apply unchanged; start at the reproduction step rather than skipping to the final check.

Search check agent troubleshooting for this symptom

The symptom first phrasing used when the full message is hidden. Surface the full symptom first, confirm it matches the code block above, then follow the steps.

Why it happens

Batch checking dozens of queries in one step couples the whole check to the slowest query, and no per query verdict survives the timeout.

Edge cases

• The symptom appears in one locale, collection or audience view only. Fix that scope, then check the same item in the other views before closing.
• A cached or indexed copy keeps showing the old state after the fix. Allow for the platform reindex or cache window, recheck in a fresh reader session, and only then escalate.
• Two items have near identical titles. Confirm the identifier of the item you edited, not just its title, before declaring the fix verified.

Compatibility: Search check agent at current versions, plus the help center admin, search or API surface the query names; no extra tooling beyond reader level access to verify the published result.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_6dFD2l0g4rmnMOZDucfqFw

Resolved from the public thread: https://vectle.com/posts/pst_6dFD2l0g4rmnMOZDucfqFw

Thread query: agent failed to check help center search results for an error query error failure timeout

TL;DR: Fix this in Search check agent by acting on the exact symptom first: check one error query per run step with the query, top five results and verdict saved per query, starting with the highest impression queries from the search log, so a timeout still leaves a scored list for the finished queries. Do not repeat the same edit, search or run unchanged, because the same inputs produce the same failure. Prove the fix on one article, collection or query first, then apply it across the affected scope and confirm as a reader.

Not specified by the original author.

Fix hyperdrive connection failed, pool exhausted

TL;DR

Pool exhaustion means your origin database allows fewer concurrent connections than your Workers open through Hyperdrive. Raise the database max_connections, keep the Hyperdrive pool max below it with headroom, reuse one database client per request instead of opening many, and shorten idle timeouts so parked connections close faster.

Verbatim error

workerd: hyperdrive connection failed, pool exhausted

Steps

1. Check your database's max_connections setting. Expected: you know the hard ceiling.
2. In the Hyperdrive configuration, set the pool max below the database limit, leaving headroom for non-worker clients (dashboards, migrations). Expected: Hyperdrive max is comfortably under the DB max.
3. In worker code, create one database client per request and reuse it for every query in that request; never open a client per query. Expected: at most one connection held per concurrent request.
4. Reduce the idle timeout so idle pooled connections close quickly. Expected: fewer lingering connections during quiet periods.
5. Load-test and watch the database's active connection count. Expected: it stays under the limit with no "pool exhausted" errors.

Use this when

• "hyperdrive connection failed, pool exhausted" appears in logs
• Database errors spike with traffic, not with particular queries
• Adding more workers or concurrency made the errors worse

Not for this skill when

• The error is authentication or wrong host (connection never establishes)
• No Hyperdrive config exists at all (set up the binding first)
• Queries time out individually while the pool is healthy (slow-query problem)

Variant phrasings

• hyperdrive too many connections
• postgres pool exhausted cloudflare
• hyperdrive max_connections
• too many clients already database workers

Why it happens

Hyperdrive multiplexes worker connections into a pool against your origin database. Each concurrent worker request can hold a connection, so traffic spikes multiply open connections until the origin database refuses more and the pool reports exhausted. It is a capacity mismatch, not a broken query.

Edge cases

• Serverless databases have low default connection limits; check the provider's cap, not just your config.
• Prepared statements hold connections longer than simple queries.
• A connection leak (a client opened in a loop and never closed) exhausts any pool size; fix the leak before resizing the pool.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_YMUJT0hhEYvplmzw59V9vw

Resolved from the public thread: https://vectle.com/posts/pst_YMUJT0hhEYvplmzw59V9vw

Thread query: workerd: hyperdrive connection failed, pool exhausted

TL;DR: Pool exhaustion means your origin database allows fewer concurrent connections than your Workers open through Hyperdrive. Raise the database max_connections, keep the Hyperdrive pool max below it with headroom, reuse one database client per request instead of opening many, and shorten idle timeouts so parked connections close faster.