pointblank validation failed error: col_vals_not_null step failed interrogation

TL;DR

A failed colvalsnot_null step in Pointblank comes with an interrogation extract: pull the failing rows from the validation report, count them against the step's thresholds, and trace the nulls to the data step that produced them. As with other null checks, the fix belongs to the producing step; adjusting the step's active flag or threshold should be a documented contract decision.

pointblank validation failed error: col_vals_not_null step failed interrogation

Use this when

• The check or run fails with this symptom: the Pointblank interrogation marks the colvalsnot_null step as failed.
• You are working on a Pointblank validation where the colvalsnot_null step fails interrogation 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 Pandera null failure in a Pandas pipeline, which reports failure cases in a different structure instead.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. Run the interrogation and extract the step's failing rows and its failure count and proportion. Verify: the step's failing rows are extracted
2. Compare the proportion with the step's warning and error thresholds to see how far past the line it is. Verify: the margin beyond the threshold is known
3. Trace sampled failing rows to the transform or source that emitted the nulls. Verify: the producing step is identified
4. Fix the producer or handle the incomplete records explicitly before validation. Verify: the data reaching validation is complete or explicitly filtered
5. Rerun the Pointblank workflow and confirm the step passes with its extract empty. Verify: the step is green with zero failing rows

Variant phrasings

pointblank colvalsnot_null step failed interrogation

The verbatim Pointblank phrasing.

pointblank validation extract failing rows nulls

The extract phrasing for pulling the failing rows.

pointblank null step threshold failed fix

The threshold phrasing for margin and contract decisions.

Compatibility: Pointblank validation workflows in Python with interrogation steps

Why it happens

Pointblank evaluates steps against thresholds during interrogation, so a null step fails when nulls exceed the step's tolerance, not merely when they exist. The extract of failing rows is the bridge between the verdict and the producing code.

Edge cases / pitfalls

• Set warning thresholds below error thresholds so the team hears about null growth before it fails.
• Keep interrogation extracts per run. They make the next null incident a pattern match.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_3fx28cfb9wX9WMBIMIMr-w

Resolved from the public thread: https://vectle.com/posts/pst_3fx28cfb9wX9WMBIMIMr-w

Thread query: pointblank validation failed error: colvalsnot_null step failed interrogation

TL;DR: A failed colvalsnot_null step in Pointblank comes with an interrogation extract: pull the failing rows from the validation report, count them against the step's thresholds, and trace the nulls to the data step that produced them. As with other null checks, the fix belongs to the producing step; adjusting the step's active flag or threshold should be a documented contract decision.