data_type: A valid data type to which the function will convert the main expression.Expression: value to convert.style: is an integer indicating that the function translates the most into an expression.
During the development of data processes for SQL Server, under certain circumstances, a person may receive the following message: Error Unable to convert varchar to numeric. This error is now similar to the conversion error your company might get when trying to convert a to varchar-glide etc.
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Read on to find out why you’re getting this error message and how to fix it in a minute.
Numeric SQL Data Type On The Server
Before we can successfully discuss how to reproduce the problem, let alone fix it, it’s extremely important that you first understand what the server’s SQL numeric data type is. As described in the related MS Docs article, the numeric data type actually has a fixed precision and scale, and all functions for that particular data type are similar to decimal.
The numeric data type takes two arguments: precision and scale. The syntax is numeric (precision, scale).
Precision determines the optimal number of decimal places (on all sides of the number), and the range of valuestruck body coverage ranges from 1 to 38.
Scale, specifies the number of decimal places stored to the right of the decimal point. Its value can be between a single number and the value specified in the Precision section.
Here is an example of a numeric value in SQL Server:
DECLARE @numValue @numValue=123456 numeric(10,2);set.7890SELECT @numValue as NumValue;GO
In the main example above, I specified a precision of 10 and a scale of 2.
So maybe even though I specified 123456.7890 as a specific value, I made it a numeric value, it was indirectly adjusted to a numeric value (10.2), moreover, it returned the true value 123456.79
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