Snowflake usage query error timezone shift splits daily active users across two dates

TL;DR

Fix this in Snowflake by acting on the exact message first: rewrite the Snowflake usage query to convert event timestamps to one stated timezone before grouping by day, use a consistent date truncation for every source table, rerun both dates affected by the shift, and verify daily active users sum to the ungrouped total. 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.

Snowflake usage query error timezone shift splits daily active users across two dates

Use this when

• The operation in Snowflake fails with this exact message or symptom: Snowflake usage query error timezone shift splits daily active users across two dates.
• The same failure repeats on retry with unchanged inputs.
• Expansion scoring, alerting or outreach 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, and copy the full message plus the account, signal 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: rewrite the Snowflake usage query to convert event timestamps to one stated timezone before grouping by day, use a consistent date truncation for every source table, rerun both dates affected by the shift, and verify daily active users sum to the ungrouped total. Verify: the smallest failing scope now completes, or the named account, signal or job behaves as the fix predicts.
3. Check the neighbouring accounts, signals 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 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 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

Grouping timestamps recorded in different timezones splits one day of activity across two dates, halving each day and inventing a drop and a spike.

Variant phrasings

Snowflake usage query error timezone shift splits daily active users across two dates

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 - Snowflake usage query error timezone shift splits daily active users across two dates

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.

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 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/pstXa3PIoZ17c3nokhbekzew

Resolved from the public thread: https://vectle.com/posts/pstXa3PIoZ17c3nokhbekzew

Thread query: Snowflake usage query error timezone shift splits daily active users across two dates

TL;DR: Fix this in Snowflake by acting on the exact message first: rewrite the Snowflake usage query to convert event timestamps to one stated timezone before grouping by day, use a consistent date truncation for every source table, rerun both dates affected by the shift, and verify daily active users sum to the ungrouped total. 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.