scraper failed on warehouse usage export returning empty results for synci

Not specified by the original author.

TL;DR

Fix this in warehouse usage export scraper by acting on the exact message first: check the warehouse usage export the scraper requested, confirm its date window and schema still return rows in a direct query, fix the export query if the schema moved, and fall back to a direct warehouse export when the scraped export stays empty. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one account, batch or record set first, then rerun the full scope and reconcile the counts.

scraper failed on warehouse usage export returning empty results for syncing Segment traits error scraping failure

Use this when

• The operation in warehouse usage export scraper fails with this exact message or symptom: scraper failed on warehouse usage export returning empty results for syncing Segment traits error scraping failure.
• The same failure repeats on retry with unchanged inputs.
• Health scoring, alerting or routing 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 warehouse usage export scraper, and copy the full message plus the account, measure 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: check the warehouse usage export the scraper requested, confirm its date window and schema still return rows in a direct query, fix the export query if the schema moved, and fall back to a direct warehouse export when the scraped export stays empty. Verify: the smallest failing scope now completes, or the named account, measure or job behaves as the fix predicts.
3. Check the neighbouring accounts, measures or jobs that share the same config, schema or source, 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 warehouse usage export scraper 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, scores or status against the source in warehouse usage export scraper 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

An empty scraped export usually means the underlying query window or schema changed, not that no usage exists to sync traits from.

Variant phrasings

scraper failed on warehouse usage export returning empty results for syncing Segment traits error scraping failure

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 - scraper failed on warehouse usage export returning empty results for syncing Segment traits error scraping failure

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

warehouse usage export scraper 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.

Edge cases

• If the fix works on the sample scope but the full rerun still fails, a second account or record with the same fault is present; widen the scope in stages until the next failing item is found.
• If scores change after the fix but downstream alerts or reports do not, check the downstream refresh timing before recalculating again, because those surfaces often read a synced copy.
• If the source information itself is missing for the affected accounts, record that as a source gap rather than scoring the accounts as zero.

Compatibility: warehouse usage export scraper 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_TvejVbdxrTQztkspjEuoFg

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

Thread query: scraper failed on warehouse usage export returning empty results for syncing Segment traits error scraping failure

TL;DR: Fix this in warehouse usage export scraper by acting on the exact message first: check the warehouse usage export the scraper requested, confirm its date window and schema still return rows in a direct query, fix the export query if the schema moved, and fall back to a direct warehouse export when the scraped export stays empty. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one account, 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 Snowflake usage scraper by acting on the exact message first: run the Snowflake usage query directly and save its result to a file, check the warehouse and schema names after the schema change, fix the query to the new names, and backfill from the saved result instead of the empty scraper output. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one account, batch or record set first, then rerun the full scope and reconcile the counts.

scraper failed on Snowflake usage query result returning empty results for backfilling usage history error scraping failure

Use this when

• The operation in Snowflake usage scraper fails with this exact message or symptom: scraper failed on Snowflake usage query result returning empty results for backfilling usage history error scraping failure.
• The same failure repeats on retry with unchanged inputs.
• Health scoring, alerting or routing 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 Snowflake usage scraper, and copy the full message plus the account, measure 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: run the Snowflake usage query directly and save its result to a file, check the warehouse and schema names after the schema change, fix the query to the new names, and backfill from the saved result instead of the empty scraper output. Verify: the smallest failing scope now completes, or the named account, measure or job behaves as the fix predicts.
3. Check the neighbouring accounts, measures or jobs that share the same config, schema or source, 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 usage scraper 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, scores or status against the source in Snowflake usage scraper 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

A scraper wrapping an old query returns empty results after a schema change, while the underlying usage is intact under the new schema names.

Variant phrasings

scraper failed on Snowflake usage query result returning empty results for backfilling usage history error scraping failure

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 - scraper failed on Snowflake usage query result returning empty results for backfilling usage history error scraping failure

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

Snowflake usage scraper 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.

Edge cases

• If the fix works on the sample scope but the full rerun still fails, a second account or record with the same fault is present; widen the scope in stages until the next failing item is found.
• If scores change after the fix but downstream alerts or reports do not, check the downstream refresh timing before recalculating again, because those surfaces often read a synced copy.
• If the source information itself is missing for the affected accounts, record that as a source gap rather than scoring the accounts as zero.

Compatibility: Snowflake usage scraper 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/pst9wOi95vIZiFbkq_ChuinQ

Resolved from the public thread: https://vectle.com/posts/pst9wOi95vIZiFbkq_ChuinQ

Thread query: scraper failed on Snowflake usage query result returning empty results for backfilling usage history error scraping failure

TL;DR: Fix this in Snowflake usage scraper by acting on the exact message first: run the Snowflake usage query directly and save its result to a file, check the warehouse and schema names after the schema change, fix the query to the new names, and backfill from the saved result instead of the empty scraper output. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one account, 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 benchmark export agent scraper by acting on the exact problem first: query the warehouse export directly and confirm the returned row count and date coverage before building benchmarks, retry a failed export as an export fault, and never publish a benchmark built on an empty scrape. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one response, batch or record set first, then rerun the full scope and reconcile the counts.

scraper failed on survey response warehouse export returning empty results for exporting benchmarks error scraping failure

Use this when

• The operation in benchmark export agent scraper fails with this exact problem or symptom: scraper failed on survey response warehouse export returning empty results for exporting benchmarks error scraping failure.
• The same failure repeats on retry with unchanged inputs.
• NPS follow-up, routing or reporting 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 problem 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 benchmark export agent scraper, and copy the full problem plus the response, contact or job involved into the run notes. Verify: the problem is reproduced on demand with a named scope, not only seen in a log.
2. Apply the specific fix for this problem: query the warehouse export directly and confirm the returned row count and date coverage before building benchmarks, retry a failed export as an export fault, and never publish a benchmark built on an empty scrape. Verify: the smallest failing scope now completes, or the named response, record or job behaves as the fix predicts.
3. Check the neighbouring responses, records or jobs that share the same config, segment 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 benchmark export agent scraper 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.
5. Compare the result counts or status against the source in benchmark export agent scraper 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 problem, the fix applied and the evidence of success.

Why it happens

An empty warehouse scrape can mean the export had not finished rendering, and building on it produces benchmarks from no responses that still look numerically plausible.

Variant phrasings

scraper failed on survey response warehouse export returning empty results for exporting benchmarks error scraping failure

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

How to fix - scraper failed on survey response warehouse export returning empty results for exporting benchmarks error scraping failure

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

benchmark export agent scraper troubleshooting for this failure

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

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

Edge cases: if the fix works on the small scope but the full rerun still fails on a different record, treat that record as a second instance of the same class, apply the same fix per record, and keep the verified records separate from the still failing ones.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst7dkD6ZzD7jp1Lx8xxLd_w

Resolved from the public thread: https://vectle.com/posts/pst7dkD6ZzD7jp1Lx8xxLd_w

Thread query: scraper failed on survey response warehouse export returning empty results for exporting benchmarks error scraping failure

TL;DR: Fix this in benchmark export agent scraper by acting on the exact problem first: query the warehouse export directly and confirm the returned row count and date coverage before building benchmarks, retry a failed export as an export fault, and never publish a benchmark built on an empty scrape. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one response, batch or record set first, then rerun the full scope and reconcile the counts.