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Numeric precision
Numeric precision




DECIMAL Syntax and DefinitionĭECIMAL(p, s) takes the same two arguments.

numeric precision

Here, the precision is 8 total digits, with 4 to the right of the decimal point. It can be specified only when the precision (p) is specified. s = scale, or the number of digits to the right of the decimal point.p = precision, or the maximum total number of digits to be stored (including both sides of the decimal point).The storage size for each precision range is shown below: Precision The range of values this type can store is -10^38+1 to 10^38. NUMERIC(p, s) takes two arguments: precision ( p) and scale ( s). Let’s dive into the syntax of both data types to explore this further. This is in stark contrast to DECIMAL, which allows more numbers than the stated precision. The NUMERIC data type is strict it enforces the exact precision and scale that you have specified. There is one notable difference between NUMERIC and DECIMAL in standard SQL. For the number 10293.93, the precision is 7 and the scale is 2. Scale is the number of digits after the decimal point. Precision is the maximum total number of digits that a number can have. Thus, DECIMAL or NUMERIC should be used for money values, whereas floating point numbers should be used for scientific calculations.īoth NUMERIC and DECIMAL take the arguments of precision and scale. There are two different data types that allow us to store precise numerical data in SQL: NUMERIC and DECIMAL.īoth of these types store decimal numbers and use exact arithmetic – as opposed to floating point numbers (REAL, FLOAT, etc.), which store binary numbers and use inexact arithmetic. Learn all modern SQL in one place! SQL DECIMAL vs.

numeric precision

It contains over 800 exercises and covers the basic, intermediate, and advanced topics of SQL. If you're looking for a comprehensive SQL course, I recommend the interactive SQL from A to Z learning path. We’ve already posted a more general article on SQL data types this time, we’ll drill down further on just the DECIMAL and NUMERIC data types. Then I’ll discuss how these data types work in common SQL dialects. In this article, I’ll explain the differences and similarities between SQL’s standard NUMERIC and DECIMAL data types. However, in some variants of SQL, there is no difference! This article will clear up any confusion.

numeric precision

In standard SQL, there is a slight difference between the NUMERIC and DECIMAL data types.






Numeric precision