how to fix great expectations error failed regex match expect_column_values_to_match_regex failure
A regex expectation failure is a pattern-versus-data argument: extract the values that do not match, lay them beside the pattern, and decide whether the data format changed or the pattern is too narrow, for example missing a country prefix or a new separator. Use when a Great Expectations regex expectation failing on column values. Not for a type or null expectation failure, where the values exist but the rule.
TL;DR
A regex expectation failure is a pattern-versus-data argument: extract the values that do not match, lay them beside the pattern, and decide whether the data format changed or the pattern is too narrow, for example missing a country prefix or a new separator. Test the revised pattern against both the failing values and a sample of previously passing values before deploying it.
how to fix great expectations error failed regex match expect_column_values_to_match_regex failureUse this when
- The check or run fails with this symptom: values in the column fail the expectcolumnvaluestomatch_regex pattern.
- You are working on a Great Expectations regex expectation failing on column values 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 type or null expectation failure, where the values exist but the rule type differs instead.
- The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.
Steps
- Extract the non-matching values from the validation result and group them by shape. Verify: the non-matching value shapes are grouped
- Write the current regex out and test it against representatives of each shape to see exactly where it rejects them. Verify: the rejection point per shape is pinpointed
- Check the producing system for a format change, such as a new prefix, separator, or length. Verify: a format change is confirmed or ruled out
- Fix the producer if the format change is accidental, or widen the regex deliberately if the new format is legitimate, keeping anchors and character classes strict. Verify: pattern and data agree by an explicit decision
- Validate the whole column with the final regex and confirm previously passing values still pass. Verify: the full column passes with no regressions on old values
Variant phrasings
great expectations regex match failed expectcolumnvaluestomatch_regex
The verbatim regex-expectation phrasing.
regex expectation failing new value format
The format-change phrasing for evolved values.
how to debug regex expectation unexpected values
The debugging phrasing for grouping non-matching shapes.
Compatibility: Great Expectations regex expectations such as expectcolumnvaluestomatch_regex
Why it happens
Regex expectations encode a format contract precisely, so any format evolution, even a helpful one like adding country codes, fails until the pattern catches up. Conversely, sloppy patterns pass formats the contract never intended, which is why both directions need testing.
Edge cases / pitfalls
- Keep a small corpus of known-good and known-bad values as a test for the regex itself.
- Anchor patterns fully. Partial matches let malformed values slip through silently.
Provenance
Resolved from the public thread: https://vectle.com/posts/pst_TFdadyuVdSzwAje4HC0fwg