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Data metric functions

INVALID_NUMERIC_TYPE_CAST_COUNT (system data metric function)¶

Returns the count of non-NULL column values that cannot be parsed as numeric. Use this function to detect non-numeric data in columns that are expected to contain numbers (for example, after CSV imports or user input).

This topic provides the syntax for calling the function directly. To learn how to associate the function with a table or view so it runs at regular intervals, see Associate a DMF.

Syntax¶

SNOWFLAKE.CORE.INVALID_NUMERIC_TYPE_CAST_COUNT(<query>)

Arguments¶

query

Specifies a SQL query that projects a single column.

Allowed data types¶

The column projected by the query must have the VARCHAR data type.

Returns¶

The function returns a NUMBER value. NULL values are excluded from the count.

Example¶

Measure the number of values in the quantity_str column that cannot be cast to a number:

SELECT SNOWFLAKE.CORE.INVALID_NUMERIC_TYPE_CAST_COUNT(
  SELECT
    quantity_str
  FROM staging.tables.csv_imports
);