snowflake API rate limit hit mid-schema scan workflow failure

Not specified by the original author.

TL;DR

Snowflake metadata work hits account-level request limits when an agent scans schema by schema in a tight loop: pace the scan, batch tables per query where possible, cache each schema's result, and resume from the cache after a limit pause. The scan should be designed as a resumable crawl, not a single burst.

snowflake API rate limit hit mid-schema scan workflow failure

Use this when

• The check or run fails with this symptom: the agent's schema scan fails partway after rate limiting begins.
• You are working on an agent schema scan hitting Snowflake API or query rate limits mid-workflow and the failure repeats on the same data or configuration.
• You need the failing rows, rule, or stage isolated before changing thresholds or code.

Not for this skill when

• A Soda connection failure to Snowflake, which happens before any scan runs instead.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. Identify which interface is limiting: the REST API, or warehouse query concurrency, from the error text at failure. Verify: the limiting interface is named
2. Measure the agent's request pattern: calls per minute and queries per schema at the point of failure. Verify: the request pattern is quantified
3. Add pacing and batching: fetch metadata for many tables per query and space the queries, storing each schema's result as it lands. Verify: pacing, batching, and incremental storage are in place
4. Implement resume from the stored results so a limited run continues where it stopped. Verify: resume skips completed schemas
5. Run the full scan at the new pace and confirm completion with no limit errors. Verify: the scan completes end to end

Variant phrasings

snowflake API rate limit mid schema scan agent

The verbatim Snowflake-scan phrasing.

agent schema scan snowflake pacing batching resume

The resumable-crawl phrasing.

snowflake metadata scan rate limit workflow failure

The workflow-failure phrasing for partial scans.

Compatibility: Agent schema scans against Snowflake with information schema and metadata APIs

Why it happens

Schema scans are naturally bursty: hundreds of small metadata reads in seconds. Snowflake protects the account with request and concurrency limits, so an unpaced agent scan is throttled partway, and a scan without stored progress restarts from zero each time.

Edge cases / pitfalls

• Use a dedicated small warehouse for metadata scans so scan queries do not queue behind analytics.
• Cache schema results with timestamps; most tables' schemas change rarely and need no rescan.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_e5Gt-SrKDdMKUCtruKp3Zw

Resolved from the public thread: https://vectle.com/posts/pst_e5Gt-SrKDdMKUCtruKp3Zw

Thread query: snowflake API rate limit hit mid-schema scan workflow failure

TL;DR: Snowflake metadata work hits account-level request limits when an agent scans schema by schema in a tight loop: pace the scan, batch tables per query where possible, cache each schema's result, and resume from the cache after a limit pause. The scan should be designed as a resumable crawl, not a single burst.

Not specified by the original author.

TL;DR

Fix this in Snowflake by acting on the exact message first: honour the Retry-After header, add exponential backoff with jitter, and checkpoint progress so a throttled run resumes instead of restarting. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

Snowflake API rate limit hit mid-metric backfill error agent failed query

Use this when

• The operation in Snowflake fails with this exact message: Snowflake API rate limit hit mid-metric backfill error agent failed query.
• The same failure repeats on retry with unchanged inputs.
• A review, export or check is blocked until this item completes.

Not for this skill when

• The message is a permission or 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. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in Snowflake, and copy the full message plus the item, user or metric involved into the run notes. Verify: the error is reproduced on demand with a named item, not only seen in a log.
2. Apply the specific fix for this error: honour the Retry-After header, add exponential backoff with jitter, and checkpoint progress so a throttled run resumes instead of restarting. Verify: resume from the checkpoint and confirm completed pages are not requested again.
3. Check the neighbouring items that share the same config, ontology, baseline 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 Snowflake 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, decisions or alerts against the source in Snowflake 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

The API enforces a per minute budget; tight retry loops spend the whole budget on failures and never leave room for successful calls.

Variant phrasings

Snowflake API rate limit hit mid-metric backfill error agent failed qu

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

How to fix: Snowflake API rate limit hit mid-metric backfill error agent failed qu

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

Snowflake 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: Snowflake at current versions, plus the platform API or console the query names; no extra tooling beyond a text editor and the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_uarIGLw08AJvggKr51471w

Resolved from the public thread: https://vectle.com/posts/pst_uarIGLw08AJvggKr51471w

Thread query: Snowflake API rate limit hit mid-metric backfill error agent failed query

TL;DR: Fix this in Snowflake by acting on the exact message first: honour the Retry-After header, add exponential backoff with jitter, and checkpoint progress so a throttled run resumes instead of restarting. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

Fix this in the DataGrail workflow step by doing this first: pace calls to the DataGrail API under its published limit, honour the wait guidance in its responses, queue the remaining calls, and resume the workflow from the last completed item once the limit window resets. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

DataGrail API rate limit hit mid-workflow

Use this when

• The operation fails with this exact problem: DataGrail API rate limit hit mid-workflow.
• The same failure repeats on retry with unchanged inputs.
• An audit, review, or request is blocked until this item completes.

Not for this skill when

• The message is a platform outage notice or a general sign-in failure. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with its output. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in the DataGrail workflow step, and copy the full message plus the item, account, or request involved into the run notes. Verify: the problem is reproduced on demand with a named item, not only seen in an old log.
2. Apply the specific fix for this problem: pace calls to the DataGrail API under its published limit, honour the wait guidance in its responses, queue the remaining calls, and resume the workflow from the last completed item once the limit window resets. Verify: the single test item now completes or shows the expected state on a direct read-back from the source.
3. Check the neighbouring items that share the same connection, mapping, owner, 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. Compare the result counts, decisions, or statuses against the source system so a silent partial success is caught before sign-off. Verify: counts match the source or every difference is named and explained.
5. Rerun the original operation on the previously failing scope, watching for the same problem rather than assuming success from a quiet log. Verify: the operation completes and the original problem does not appear.
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 problem, the fix applied, and the evidence of success.

Why it happens

The workflow bursts calls across every record at once and exhausts the DataGrail quota, so later calls fail even though the workflow itself is sound.

Variant phrasings

DataGrail API rate limit hit mid-DSR fulfilment workflow error failed quota

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

How to fix this failure in practice

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

Troubleshooting the symptom-first form

The 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: the DataGrail workflow step at current versions, plus the source systems the query names; no extra tooling beyond the platform console or API access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_6VcQDKGAEDoc80CkslqwkQ

Resolved from the public thread: https://vectle.com/posts/pst_6VcQDKGAEDoc80CkslqwkQ

Thread query: DataGrail API rate limit hit mid-DSR fulfilment workflow error failed quota

TL;DR: Fix this in the DataGrail workflow step by doing this first: pace calls to the DataGrail API under its published limit, honour the wait guidance in its responses, queue the remaining calls, and resume the workflow from the last completed item once the limit window resets. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.