Source data uses a non-standard date format (e.g., MM/DD/YYYY instead of ISO 8601). Timezone abbreviation in the string is not recognized by PostgreSQL. NULL or empty string being cast to a timestamp column. Data from a different locale using locale-specific date separators

Step 1: Identify the failing value using `EXPLAIN` or pipeline error logs.. Step 2: Use `TO_TIMESTAMP()` with an explicit format mask instead of implicit casting.. Step 3: Normalize dates to ISO 8601 format (YYYY-MM-DD) in the ETL transformation layer.. Step 4: Set `DateStyle` in `postgresql.conf` or per-session to match the source format.

Medium severitydata format

Power BI Refresh Error:
22007

What does this error mean?

A date/time string could not be parsed into the expected timestamp or date format.

Common causes

1Source data uses a non-standard date format (e.g., MM/DD/YYYY instead of ISO 8601)
2Timezone abbreviation in the string is not recognized by PostgreSQL
3NULL or empty string being cast to a timestamp column
4Data from a different locale using locale-specific date separators

How to fix it

1Step 1: Identify the failing value using `EXPLAIN` or pipeline error logs.
2Step 2: Use `TO_TIMESTAMP()` with an explicit format mask instead of implicit casting.
3Step 3: Normalize dates to ISO 8601 format (YYYY-MM-DD) in the ETL transformation layer.
4Step 4: Set `DateStyle` in `postgresql.conf` or per-session to match the source format.

Frequently asked questions

How do I prevent 22007 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