To avoid this error, as the error message suggests, the scale must be within the range of 0 and the value of the precision. The scale (6) for column 'Width' must be within the range 0 to 4. DECLARE DECIMAL(1, 6) - 3.141592Ī different error message will be encountered when the scale is greater than the precision when defining a DECIMAL or NUMERIC column in a table: CREATE TABLE. Given the definition of the precision and scale of a DECIMAL or NUMERIC data type, this error message will be encountered if the specified scale is greater than the precision when defining a local variable. Scale can only be specified if precision is specified. Scale must be a value from 0 through the value of the precision (p). The optional scale (s) is the maximum number of decimal digits that can be stored to the right of the decimal point. The precision must be a value from 1 through the maximum precision of 38. Precision (p) is the maximum number of decimal digits that can be stored, both to the left and to the right of the decimal point. The syntax for declaring a local variable or a column as DECIMAL or NUMERIC data type is as follows: NUMERIC data type is functionally equivalent to DECIMAL data type. When maximum precision is used, which is 38, valid values are from -10^38 through 10^38 – 1. The scale must be less than or equal to the precision.ĭECIMAL and NUMERIC are numeric data types that have fixed precision and scale. SQL Server Error Messages - Msg 192 - The scale must be less than or equal to the precision.Įrror Message Server: Msg 192, Level 15, State 1, Line 1 The query returns the title and author of books with sales equal to or less than 30 in the past month.īy utilizing these comparison operators in SQL, you can easily filter and analyze your bookstore’s sales data to make informed decisions and optimize your business.Home > SQL Server Error Messages > Msg 192 - The scale must be less than or equal to the precision. The less than or equal to (<=) operator filters books based on a maximum sales value. The query returns the title and author of books with sales equal to or greater than 20 in the past month.Ħ) Less Than or Equal To (<=) Question: Which books sold no more than 30 copies in the past month? The greater than or equal to (>=) operator filters books based on a minimum sales value. The query returns the title and author of books with sales greater than 50 in the past month.Ĥ) Less Than (=) Question: Which books sold at least 20 copies in the past month? The greater than (>) operator compares the “sales_last_month” column to 50. The query returns the title and author of books with sales not equal to 10.ģ) Greater Than (>) Question: Which books sold more than 50 copies in the past month? Example query: The not equals ( or !=) operator filters out books with sales equal to 10 in the past month. The query returns the title and author of books with exactly 10 sales in the past month.Ģ) Not Equals ( or !=) Question: Which books were sold more or less than 10 times in the past month? In this query, the equals (=) operator compares the value in the “sales_last_month” column to 10. SQL comparison operators can help you with this task by allowing you to filter, sort, and analyze the data in a variety of ways.ġ) Equals (=) Question: Which books were sold exactly 10 times in the past month? Imagine you’re managing a bookstore and would like to analyze your sales data to make informed decisions about inventory and promotions.
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