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Medium severityexecution

Power BI Refresh Error:
000132 (22003)

What does this error mean?

A numeric value exceeds the precision or scale defined for the target column or expression. Snowflake raises this when an integer or decimal overflows during arithmetic, casting, or INSERT/UPDATE operations.

Common causes

  • 1Inserting a value larger than the column's defined precision (e.g., NUMBER(10,2) receiving 12-digit integers)
  • 2Arithmetic result (multiplication, exponentiation) overflows the intermediate or output type
  • 3CAST or TRY_CAST to a smaller numeric type without range checking
  • 4Aggregation (SUM) over large datasets where the result exceeds NUMBER(38,0)
  • 5ETL pipeline producing unexpected large values due to upstream data quality issues

How to fix it

  1. 1Identify the column or expression: check the error detail for the statement and column name
  2. 2Widen the column definition: ALTER TABLE ... ALTER COLUMN amount TYPE NUMBER(18,2)
  3. 3Add a range guard: use CASE WHEN ABS(val) > 9999999999 THEN NULL ELSE val END before inserting
  4. 4Use TRY_CAST instead of CAST to return NULL on overflow rather than failing the entire batch
  5. 5Add a data quality check in the upstream pipeline to detect out-of-range values before they reach Snowflake

Frequently asked questions

Does TRY_CAST completely prevent this error?

TRY_CAST returns NULL on overflow instead of raising an error, which prevents job failure. However, silently producing NULLs can corrupt downstream aggregations — add an alert or assertion to detect unexpected NULLs in critical columns.

Can SUM() overflow in Snowflake?

Snowflake's SUM() uses a higher internal precision, making overflow in pure aggregation rare. Overflow is more likely in MULTIPLY or POWER expressions, or when the result is cast back to a narrower type.

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