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The three error modes

Every processor tool has an On error setting that controls what happens when a record fails to process.
ModeBehavior
StopThe run halts immediately when any record fails. No further records are processed.
ContinueFailed records are logged and skipped, but the run continues with the rest of the records.
Skip recordSimilar to Continue. The failed record is skipped and processing moves to the next one.

Choosing the right mode

Use Stop when:
  • A failure means something is fundamentally wrong with the tool configuration
  • You want to catch issues early before they affect many records
  • The tool is making irreversible changes (like deleting records) and you want to be cautious
Use Continue or Skip when:
  • Some records are expected to fail (missing values, unusual formats)
  • You want to process as many records as possible and review failures separately
  • The failures are isolated and don’t indicate a systemic problem

Viewing errors

Failed records are logged in the execution log with a timestamp, the record ID, and the error message. Review the log after a run to understand what went wrong. The run metrics show the split between succeeded and failed records at a glance.

Common error causes

SituationTypical cause
Record skippedThe record’s source field is empty and “Skip empty fields” is on
Network errorThe tool made an external API call (geocoding, email validation) that failed
File processing errorAn attachment was corrupted, too large, or in an unsupported format
Airtable write errorRate limiting, permission issue, or field type mismatch
Invalid valueThe source field contains a value the tool cannot process (e.g., non-numeric data in a number field)

Re-running after errors

After fixing the underlying issue, you can re-run the tool. If you have a “Skip already processed” or “Skip non-empty output” option, enable it to skip records that succeeded on the first run and only reprocess the ones that failed. Alternatively, filter the tool to run only on the specific records that failed by adding a filter condition on the record IDs or a status field you set during the failed run.

Common questions

Not automatically. After a run, identify the failed records from the execution log and re-run the tool with a filter targeting only those records.
No. If a record fails processing, Filla does not write any output for that record. The original Airtable data is unchanged.
Check the execution log for the run. Each failure entry includes the record ID and the error message. The log is available in the run history panel.