It encounters the below error saying arithmetic overflow error and the SQL Server terminated the statements. Copy and paste the below query in a new query window and execute it. Let’s work with a very popular mathematical constant – π, aka, Pi that has a value equal to 3.14159 (22/7 in a fraction). The scale must always be less than or equal to the precision.
One important thing to note here is, – parameter s (Scale) can only be specified if p (Precision) is specified. In short, by defining parameters in the SQL Decimal data type, we are estimating how many digits a column or a variable will have and also the number of digits to the right of the decimal point.įor instance, decimal (4,2) indicates that the number will have 2 digits before the decimal point and 2 digits after the decimal point, something like this has to be the number value- #.#. The default value of p is 18 and s is 0 and for both these values, the minimum is 1 and the maximum is 38.
s stands for Scale, number of digits after the decimal point.
p stands for Precision, the total number of digits in the value, i.e.Let’s take a look at the basic syntax of SQL Decimal Data type first. The Basic syntax of Decimal data type in SQL Server If you don’t have any version installed on your system and wish to practice against the 2017 version, download it from here. We will be using SQL Server 2017 in this article for the demo purposes. You can use any SQL Server version installed (starting 2000 or above) to understand this data type. SQL Decimal data type is being used in SQL Server since forever.
Let’s move forward and explore Decimal data type in SQL Server. It becomes very essential for SQL developers to choose the correct data types in the table structure while designing and modeling SQL databases. In such scenarios, it is ideal to use Sql Decimal data type in SQL Server to deliver correct results with perfect precision. Using whole numbers (by rounding decimal numbers) definitely makes one’s job easier but it often leads to inaccurate outputs, especially when we are dealing with a large number of values and crucial data. Organizations deal with decimals on a day-to-day basis, and these decimal values can be seen everywhere in different sectors, be it in banks, the medical industry, biometrics, gas stations, financial reports, sports, and whatnot. We will also see how we can exercise this data type in SQL Server to help make SQL developer’s job easier. This article aims to walk you through the SQL Decimal data type and its usage with various examples.
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