![]() As to whether or not this actually happens depends on the order of evaluation in the execution plan.īelow is the sales table clustered index scan predicate from the Unicode literal execution plan, showing the conversion occurs before the 'number' condition is evaluated: CONVERT_IMPLICIT(numeric(9,0).,0)=(1.) AND CONVERT_IMPLICIT(nvarchar(10).,0)=N'number' If I modify the query slightly it works: SELECTĪ conversion error will occur at run time when an attempt is made to convert the sales.pid value 'Colgate' value to numeric(9) to evaluate the join criteria. I don't see why casting NVARCHAR to NUMERIC is an issue: SELECT CAST (N'1' as NUMERIC) INNER JOIN sales ON products.idn = sales.pid Why does the following SELECT fail (For some reason beyond my control, the generated query has N literals for strings.)? SELECT The transaction filter takes care of JOINing correctly. Sales has mixed data i.e VARCHAR and NUMERIC. INSERT INTO sales (idn, pid, type) VALUES (2, 'Colgate', 'word') INSERT INTO sales (idn, pid, type) VALUES (1, 1, 'number') This must be less than or equal to 16.I have the following schema/data in MSSQL Server 2019 ( SQLFiddle): CREATE TABLE products( The third argument is the number of places to the right of the decimal point. This includes decimal point, sign, digits, and spaces. The first argument is an expression of float data type with a decimal point. The character data is right-justified, with a specified length and decimal precision. This function returns character data converted from numeric data. The STR() FunctionĪnother way to format a number to two decimal places is to use the STR() function: SELECT STR(275, 6, 2) Therefore, it can be used to add two decimal places to an integer (as seen in the above example). The # format specifier suppresses any insignificant zeros while the 0 format specifier does not.īut perhaps more importantly (for the purposes of this article), the 0 format specifier allows you to add insignificant zeros if they aren’t present in the original number. We can see that there’s a difference between using # and 0 in the format string. Here’s an example of using custom format strings: SELECT Custom format strings allow you to specify a format that might not be supported by a standard format string. It’s been rounded up, just like when we converted the number in the other example.Īnother way to do it is to use a custom format string. The same technique can be used to reduce the decimal places to two, from a number with more decimal places: SELECT FORMAT(275.4567, 'N2') In this case, N is for number and 2 is for the number of decimal places (you can increase or decrease this as required). The N2 part is referred to as a format string. This function actually converts the number to a string, so technically, the result is not a numeric type. Here, we use CONVERT() to do the same thing – convert the number to decimal: SELECT CONVERT(DECIMAL(5, 2), 275) Īnother way to format a number with two decimal places is to use the FORMAT() function: SELECT FORMAT(275, 'N2') ![]() One thing to remember though, is if you’re reducing the number of decimal places from a number with more than two decimal places, then you could end up with the second decimal place being rounded up: SELECT CAST(275.4567 AS DECIMAL(5, 2)) We can use this method even if the number is already a decimal value but with more decimal places. Here’s an example of using CAST(): SELECT CAST(275 AS DECIMAL(5, 2)) Two functions that can do this for us is CAST() and CONVERT(). The most obvious way to do it is to convert the number to a decimal type. When using T-SQL with SQL Server, we can format numbers using various methods, depending on our desired format.īelow are four functions that can be used to format a number to two decimal places in SQL Server. ![]()
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