控制MSSQL让你对小数位更加精确地控制（mssql 小数位）
Control MSSQL to Make You More Accurate with Decimal Places
When dealing with large datasets of numbers, accuracy is key. In Microsoft SQL Server, this often comes with precision and scale when dealing with decimal numbers. Precision is the total number of digits stored, while scale is the number of digits to the right of the decimal point.
If you’re dealing with financial or scientific information, precision and scale become critical for getting an accurate result. Knowing how to control precision and scale in MSSQL can save you a lot of time, and make sure that you see the results you were expecting.
The first step is to make sure you’re dealing with the correct data types. The most common data type for dealing with decimal numbers is the decimal type. This has both a maximum precision and scale that you can set. If the data must be more precise than this, then you’ll need to look into the float and real data types, which don’t have a set precision or scale, but are more accurate.
The next step is to check that the precision and scale of your data is set correctly. If it’s not, you’ll be unable to store the data accurately. This can be done using the DESCRIBE command, which will show the column type and other associated details, such as precision and scale.
For example, typing “DESCRIBE table_name” will show information about a particular table, such as the data type, precision and scale for each of its columns. If the precision and scale is not set correctly, you should use the ALTER TABLE command to change it, as follows:
“ALTER TABLE table_name ALTER COLUMN column_name datatype ([precision] [,scale])”
Where “datatype” is the type of data you’re dealing with, “precision” is the number of digits stored and “scale” is the number of digits to the right of the decimal point.
Once the data type and precision and scale are set correctly, all that’s left to do is to ensure your queries are using them correctly. This is simple, as all you have to do is include the precision and scale in your query. For example, if you’re dealing with a decimal column with a precision of 10 and a scale of 5, any query or operation on this column should also include these 2 values.
To sum it up, controlling MSSQL to make sure you’re precise with decimal places is fairly straightforward. Firstly, make sure the data type is set correctly and includes the required precision and scale settings. Secondly, include the precision and scale in your query. With these steps, you can ensure your data is stored precisely and accurately, and get the results you were expecting.
