MySQL also supports this optional precision specification, but the precision value is used only to determine storage size. ![]() This is because STR enables more control over formatting. For FLOAT, the SQL standard permits an optional specification of the precision (but not the range of the exponent) in bits following the keyword FLOAT in parentheses. When you want to convert from float or real to character data, using the STR string function is usually more useful than CAST( ). When you create a table with a boolean data type, MySQL outputs data as 0, if false, and 1, if true. Instead, it converts boolean values into integer data types (TINYINT). I have the feeling I'm missing something obvious, but I just can't figure it out. Values of float are truncated when they are converted to any integer type. MySQL does not have a boolean (or bool) data type. On the other side, we have a decimal data type that comes under the numeric data types. Single-precision values are stored using four bytes, while double-precision values require eight. We use the float data type in MySQL to represent approximate numeric values. ![]() ![]() If I try taxRate 14.975 and taxRate > 14.975 does. MySQL offers various data types to users, including float and decimal data types. The keyword INT is a synonym for INTEGER, and the keywords DEC and FIXED are synonyms for DECIMAL. It also supports the approximate numeric data types (FLOAT, REAL, and DOUBLE PRECISION). Somehow, MySQL considers that " 14.975" is different than " 14.975". MySQL supports all standard SQL numeric data types which include INTEGER, SMALLINT, DECIMAL, and NUMERIC. I'm currently writing unit tests for a stored procedure that calculates the amount of taxes and the tax rate based on the country/province the customer lives in.
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