Mode report run failed: PostgreSQL error division by zero in analytics qu

Not specified by the original author.

TL;DR

Some denominator is zero for at least one row. Wrap it with nullif(denominator, 0) so the division yields null instead of raising, then decide whether null is the right business answer or those rows need filtering. Re-run the model and check the null count.

Error

Database Error: division by zero in dbt model

Steps

1. Find the division in the model SQL: search for / and check each denominator expression. Expected: You locate the division, e.g. revenue / order_count.

2. Query the source to confirm zeros exist: select count(*) where denominator = 0. Also check for nulls, which most warehouses treat as null rather than an error, but confirm. Expected: A nonzero count of zero denominators, proving the data cause.

3. Wrap the denominator: revenue / nullif(order_count, 0). If zero denominators are invalid data, add a test or a where filter instead and fix the source. Expected: The model compiles and runs without the error.

4. Add a dbt test on the metric, e.g. a not_null or a custom test asserting the ratio is sane, so regressions get caught. Expected: dbt test passes; future zero denominators surface as test failures, not crashes.

When to use

• warehouse raises division by zero on a dbt model query
• a metric model computing ratios, rates, or unit economics
• the error appeared after new source data arrived

When not to use

• integer division truncation (that is a type issue, not an error)
• the denominator is null, not zero (nulls propagate as null, no error)
• the error is in a macro, not model SQL

Tool compatibility

• nullif() exists on Postgres, Snowflake, BigQuery, Redshift, DuckDB
• dbt tests catch regressions once the immediate crash is fixed
• works for python models too, guard before dividing

Variant phrasings

division by zero in an incremental model

Same fix, but also check the incremental predicate did not change the denominator distribution; a bad filter can manufacture zeros.

modulo by zero

Same root cause. nullif() on the modulus operand works the same way.

Why it happens

Warehouses raise on division by zero instead of returning null (Postgres, Snowflake, Redshift all raise). The model SQL was written assuming the denominator is always positive, and real data eventually violates that. One zero row kills the whole model build.

Edge cases

• nullif returns null for the row; if downstream sums treat null as zero you may silently undercount, document the choice.
• On BigQuery, IEEE_DIVIDE returns null instead of raising; if you port SQL between warehouses the behavior differs, keep nullif for portability.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstbDutJveWyV-FjfZoV7GVg

Resolved from the public thread: https://vectle.com/posts/pstbDutJveWyV-FjfZoV7GVg

Thread query: Database Error: division by zero in dbt model

TL;DR: Some denominator is zero for at least one row. Wrap it with nullif(denominator, 0) so the division yields null instead of raising, then decide whether null is the right business answer or those rows need filtering. Re-run the model and check the null count.

Not specified by the original author.

TL;DR

Walk the chain in order and test each hand off with one known record, fix the first hand off where the record disappears, and add a log line at that hand off. Start in the Mode report editor, the query run log, and the data source page, work on one affected item, and prove the fix there before running the full set. Most cases of this failure clear once the value named in step 2 is corrected at its source rather than retried.

Mode report run failed: PostgreSQL error division by zero in analytics query behind dashboard

Use this when

• You see this exact message or symptom in Mode: Mode report run failed: PostgreSQL error division by zero in analytics query behind dashboard
• One run, record, build, or object is affected and you can name it
• A retry without changing anything reproduces the same text

Not for this skill when

• Mode fails with a different message and none of the signals here appear
• Nothing has failed yet and you are doing first time setup or general planning
• Every service from this vendor is down for all users, which is a vendor outage to wait out first

Steps

1. Reproduce the failure once in the Mode report editor, the query run log, and the data source page and search the log or history for the exact text in the block above, recording the time, the workspace or project, and the one object it names. Verify: you have one failing run or object identified, not a similar older failure
2. Inspect the report SQL, the failing arithmetic in the query, and the warehouse connection the report uses, and check the hand off where the test record stopped, the condition or field it failed, and the log line added there. Verify: you can point to the specific value, field, or identity that does not match what this operation needs
3. Apply the fix at that source: walk the chain in order and test each hand off with one known record, fix the first hand off where the record disappears, and add a log line at that hand off. Verify: the corrected value or setting is visible in Mode itself, not only in a local config file
4. Re-run the original operation on the single affected item first: run the query alone in the editor, fix the failing expression, then run the full report. Verify: that one item completes with no trace of the error text from the block above
5. Check the downstream result a user or the next job would see: the report completing and the visualization rendering the query results. Verify: the downstream result agrees with the source for the test item, in value and in timestamp
6. Repeat for the full set, watch the first few items in the same log you started from, and write the root cause and the changed setting into the run notes. Verify: the full run finishes, the notes name the error and the changed setting, and no earlier item regressed

Variant phrasings

Mode report run failed: PostgreSQL error division by zero in analytics query behind dashboard

The subject-first phrasing of the same failure. The fix is the same, start at step 1 and confirm the object the log names.

Mode version of this failure

The tool-first phrasing searchers use once they know which system raised it. It is the same underlying problem, not a separate bug.

Why does mode report run failed: PostgreSQL error division by zero in analytics query behind dashboard keep happening after a retry

The repeat-occurrence phrasing. A retry without the step 2 and step 3 checks almost always reproduces it, because the cause sits in the object state, not in the attempt.

Compatibility: Mode Analytics reports, PostgreSQL backed queries, report runs. The steps assume you can read the job or build log and change the named object in Mode.

Why it happens

In Mode, this failure usually means one step in the chain checks a condition or a field that the earlier steps no longer produce, so the chain stops silently at that check. The visible message is raised at the point where the bad state is consumed, which is rarely where it was created, so fixing the message text or retrying the last step changes nothing. Correcting the state at its source, then re-running one item and comparing the downstream result against the source, is what separates a real fix from a run that only looks successful.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_yYoYGfylJj5TCPy0qyY2sQ

Resolved from the public thread: https://vectle.com/posts/pst_yYoYGfylJj5TCPy0qyY2sQ

Thread query: Mode report run failed: PostgreSQL error division by zero in analytics query behind dashboard

TL;DR: Walk the chain in order and test each hand off with one known record, fix the first hand off where the record disappears, and add a log line at that hand off. Start in the Mode report editor, the query run log, and the data source page, work on one affected item, and prove the fix there before running the full set. Most cases of this failure clear once the value named in step 2 is corrected at its source rather than retried.

Not specified by the original author.

TL;DR

Fix this in Power BI by acting on the exact problem first: in Power BI, rewrite the variance percent measure to test the budget denominator before dividing, return blank or a not meaningful marker when budget is zero, keep the absolute variance measure separate, and check a zero budget account no longer shows infinity in the visual. Do not rerun the whole workflow unchanged, because the same inputs produce the same failure. Prove the fix on one account, period or department first, then rerun the full scope and reconcile the results.

Power BI variance percent error divide by zero measure shows infinity

Use this when

• The operation in Power BI fails with this exact problem: Power BI variance percent error divide by zero measure shows infinity.
• The same failure repeats on retry with unchanged inputs.
• A variance report, forecast, commentary or board pack step is blocked until this is resolved.

Not for this skill when

• The notice is a platform outage from the vendor. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with a business judgement such as the budget itself or a materiality call. That is an FP and A decision, not this failure.

Steps

1. Reproduce the failure on one named account, period or department in Power BI and record the full problem text plus the account, period or report involved. Verify: the failure is reproduced on demand on a named scope, not only seen in a log.
2. Apply the specific fix for this problem: in Power BI, rewrite the variance percent measure to test the budget denominator before dividing, return blank or a not meaningful marker when budget is zero, keep the absolute variance measure separate, and check a zero budget account no longer shows infinity in the visual. Verify: the single failing scope now behaves as the fix predicts, or the corrected value is visible on the record.
3. Check neighbouring accounts, periods or departments that share the same mapping, template or load, because this class of failure rarely affects only one scope. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in Power BI 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 against the source of truth, the GL actuals, the approved budget or the planning system record, so a silent partial success is caught. Verify: values match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the report or close file so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied and the evidence of success.

Variant phrasings

Power BI variance percent error divide by zero measure shows infinity

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

How to fix - Power BI variance percent error divide by zero measure shows infinity

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

Power BI troubleshooting for this failure

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

Why it happens

Variance percent divides actual minus budget by budget, and Power BI renders a division by a zero or blank budget as infinity instead of an error, so zero budget lines poison averages and conditional formatting until the measure guards the denominator.

Edge cases

• The period was closed, the budget was reloaded or the org mapping changed after the failing run started. Refresh the scope state and reapply the fix against the current values, not the values from the failed run.
• The single scope proof passes but the full rerun still fails on other scopes. Treat each remaining failure as its own scope, because a shared load or mapping can hide more than one cause.
• The source systems disagree on the correct value. The GL governs actuals, the approved budget version governs plan figures, and the planning system governs forecast; record which source won and why.

Compatibility: Power BI at current versions, plus Power BI, Excel, Tableau, Looker, NetSuite and Adaptive Planning where the query names them; sources of truth are GL actuals and the approved budget, and no extra tooling is needed beyond access to those source records.

Provenance

Resolved from the public thread: https://vectle.com/posts/psttlNmhWg9-27315oyQ0ESg

Resolved from the public thread: https://vectle.com/posts/psttlNmhWg9-27315oyQ0ESg

Thread query: Power BI variance percent error divide by zero measure shows infinity

TL;DR: Fix this in Power BI by acting on the exact problem first: in Power BI, rewrite the variance percent measure to test the budget denominator before dividing, return blank or a not meaningful marker when budget is zero, keep the absolute variance measure separate, and check a zero budget account no longer shows infinity in the visual. Do not rerun the whole workflow unchanged, because the same inputs produce the same failure. Prove the fix on one account, period or department first, then rerun the full scope and reconcile the results.