ETL pipeline passes string values to a typed column without validation. CSV or JSON source data has type mismatches (e.g., empty strings instead of NULL for numeric columns). Schema drift — source column type changed from string to number

Step 1: Identify the failing column and value from the error message.. Step 2: Add type validation or NULLIF transformation in the ETL pipeline.. Step 3: Use `TRY_CAST` equivalent: `CASE WHEN value ~ '^[0-9]+$' THEN value::INTEGER ELSE NULL END`.. Step 4: Review source schema for recent type changes that may have broken the pipeline.

Medium severitydata format

Power BI Refresh Error:
22P02

What does this error mean?

A text value could not be converted to the target data type — e.g., trying to cast 'abc' to INTEGER.

Common causes

1ETL pipeline passes string values to a typed column without validation
2CSV or JSON source data has type mismatches (e.g., empty strings instead of NULL for numeric columns)
3Schema drift — source column type changed from string to number

How to fix it

1Step 1: Identify the failing column and value from the error message.
2Step 2: Add type validation or NULLIF transformation in the ETL pipeline.
3Step 3: Use `TRY_CAST` equivalent: `CASE WHEN value ~ '^[0-9]+$' THEN value::INTEGER ELSE NULL END`.
4Step 4: Review source schema for recent type changes that may have broken the pipeline.

Frequently asked questions

How do I prevent 22P02 errors in automated pipelines?

Add retry logic with exponential backoff, validate data quality before loading, and monitor pipeline failures in MetricSign to catch this error early.

Official documentation: https://www.postgresql.org/docs/current/errcodes-appendix.html