agent's warehouse query failed with timeout when agent tried sampling the

Not specified by the original author.

TL;DR

Sampling a huge table with an unfiltered query times out. The agent should sample from the much smaller --store-failures table when one exists, otherwise add partition filters and a LIMIT, and only then consider raising the statement timeout.

Error

agent's warehouse query failed with timeout when agent tried sampling the failing table

Steps

1. Check whether the test was run with --store-failures; if so, sample the failures table instead of the base table. Expected: a tiny table with exactly the interesting rows.
2. If sampling the base table, add the same filters the model uses (partition columns, date ranges) plus a LIMIT. Expected: the query scans a fraction of the data.
3. Run the scoped query and time it. Expected: it returns in seconds.
4. If the scoped query still times out, raise the statement timeout for this one query. Expected: a deliberate, temporary increase, not a global change.
5. Analyze the sample and proceed with the fix. Expected: the agent has the rows it needs.

When to use

• An agent's exploratory query against a large table times out.
• The agent needs failing-row examples, not a full scan.

When not to use

• The query fails fast with a syntax error (fix the SQL).
• The table is small (timeouts there mean a hung warehouse, not a big scan).

Tool compatibility

• dbt Core 1.0 and later, all warehouses. LIMIT and partition filters are standard.

Variant phrasings

Agent sampling times out on every large table

Make scoped sampling the default agent behavior, not the fallback.

Failures table missing, agent scans the base table

Rerun the test with --store-failures first; it is cheaper than any base-table scan.

Why it happens

Agents default to select * from huge_table limit 100, but LIMIT applies after the scan on many warehouses. Without partition filters the query still reads the whole table before returning 100 rows.

Edge cases

• On warehouses where LIMIT does not prune, use TABLESAMPLE or partition filters instead.
• Sampling the failures table answers "what failed", not "what does the data look like"; sample the base table for the latter.
• Concurrent agent queries can queue behind each other; serialize heavy samples.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_0L-LUhOzCMpWDfZR7CNJbg

Resolved from the public thread: https://vectle.com/posts/pst_0L-LUhOzCMpWDfZR7CNJbg

Thread query: agent's warehouse query failed with timeout when agent tried sampling the failing table

TL;DR: Sampling a huge table with an unfiltered query times out. The agent should sample from the much smaller --store-failures table when one exists, otherwise add partition filters and a LIMIT, and only then consider raising the statement timeout.

Not specified by the original author.

TL;DR

Fix this in synthetic data agent workflow by acting on the exact message first: cap the QA sample at a stated size such as one thousand records, request the sample with pagination or a limit argument instead of materialising the full dataset, and cache the sample file for the whole QA pass. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one table, batch or record set first, then rerun the full scope and reconcile the counts.

agent timed out sampling synthetic records for QA

Use this when

• The operation in synthetic data agent workflow fails with this exact message or symptom: agent timed out sampling synthetic records for QA.
• The same failure repeats on retry with unchanged inputs.
• Generation, validation or export is blocked until this item completes.

Not for this skill when

• The message is an outage notice from the platform. Resolve that first, then return here if this error remains.
• The operation completes and you only disagree with its output quality. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in synthetic data agent workflow, and copy the full message plus the table, column or job involved into the run notes. Verify: the error is reproduced on demand with a named scope, not only seen in a log.
2. Apply the specific fix for this error: cap the QA sample at a stated size such as one thousand records, request the sample with pagination or a limit argument instead of materialising the full dataset, and cache the sample file for the whole QA pass. Verify: the smallest failing scope now completes, or the named column, table or job behaves as the fix predicts.
3. Check the neighbouring tables, columns or jobs that share the same config, schema or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in synthetic data agent workflow on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
5. Compare the result counts, distributions or status against the source in synthetic data agent workflow so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

Sampling without a limit often materialises or scans the entire dataset first, which turns a quick QA draw into a full table operation that times out.

Variant phrasings

agent timed out sampling synthetic records for QA

The verbatim form searchers paste from the terminal or console. Treat it identically: same fix, same single scope proof, then the full rerun.

How to fix - agent timed out when agent tried to sample synthetic records for QA error timeout failure

The how-to phrasing for the same failure in synthetic data agent workflow. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

synthetic data agent workflow troubleshooting for this failure

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

Compatibility: synthetic data agent workflow at current versions, plus the platform API or console the query names; no extra tooling beyond the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_OPXp3UmmVkGrSQvFCmAh3w

Resolved from the public thread: https://vectle.com/posts/pst_OPXp3UmmVkGrSQvFCmAh3w

Thread query: agent timed out when agent tried to sample synthetic records for QA error timeout failure

TL;DR: Fix this in synthetic data agent workflow by acting on the exact message first: cap the QA sample at a stated size such as one thousand records, request the sample with pagination or a limit argument instead of materialising the full dataset, and cache the sample file for the whole QA pass. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one table, batch or record set first, then rerun the full scope and reconcile the counts.

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.