How can SQL determine if data is of floating-point type?

In SQL, you can determine if a data is a float type data using the following method:

1. Use the ISNUMERIC function to determine if the data is of numeric type, and then try to convert the data to a floating-point data type using the TRY_CONVERT function. If the conversion is successful, it means the data is of floating-point type.

Sample code:

DECLARE @data VARCHAR(10) = '123.45';

IF ISNUMERIC(@data) = 1 AND TRY_CONVERT(FLOAT, @data) IS NOT NULL
BEGIN
    PRINT '数据为浮点型数据';
END
ELSE
BEGIN
    PRINT '数据不为浮点型数据';
END

1. Regular expressions can be used to determine if data conforms to the format of floating-point data. For example, the format of floating-point data usually consists of a number followed by a decimal point and another number. This can be matched using the LIKE operator combined with wildcards.

Sample code:

DECLARE @data VARCHAR(10) = '123.45';

IF @data LIKE '%[0-9]%.[0-9]%'
BEGIN
    PRINT '数据为浮点型数据';
END
ELSE
BEGIN
    PRINT '数据不为浮点型数据';
END

These are two common methods used to determine if the data is of float type, you can choose the appropriate method based on the actual situation.