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## How do I change the precision of a column in SQL?

6 Answers. Just **put decimal(precision, scale)** , replacing the precision and scale with your desired values. I haven’t done any testing with this with data in the table, but if you alter the precision, you would be subject to losing data if the new precision is lower.

## How do you set precision in SQL?

2 Answers. In TSQL, you can **specify two different sizes for float, 24 or** 53. This will set the precision to 7 or 15 digits respectively. As a general rule, you can’t specify the number of digits after the decimal point for a floating-point number.

## How do you set decimal precision in SQL?

Generally you can define the precision of a number in SQL by **defining it with parameters**. For most cases this will be NUMERIC(10,2) or Decimal(10,2) – will define a column as a Number with 10 total digits with a precision of 2 (decimal places). It can also be declared as DECIMAL(10, 2).

## How do I increase decimal places in SQL?

The SQL AVG() function returns the average value with default decimal places. The **CAST()** is used to increase or decrease the decimal places of a value. The CAST() function is much better at preserving the decimal places when converting decimal and numeric data types.

## What is numeric precision in SQL?

Precision is **the number of digits in a number**. Scale is the number of digits to the right of the decimal point in a number. For example, the number 123.45 has a precision of 5 and a scale of 2. In SQL Server, the default maximum precision of numeric and decimal data types is 38.

## Which number has most precision?

a number that is precise but not accurate: 99999.12345678901234567890 . That’s much more precise since it conveys more information. Unfortunately its accuracy is way off since it’s nowhere near the target value. a number that is both accurate and precise: **3.142857143** .

## What is precision for float in SQL?

float is used to store approximate values, not exact values. It has a precision from **1 to 53 digits**.

## What is numeric precision?

Numeric precision refers **to the maximum number of digits that are present in the number**. ie 1234567.89 has a precision of 9. Numeric scale refers to the maximum number of decimal places.

## How do you convert to 2 decimal places in SQL?

Select Convert(Numeric(38, 2), Minutes/**60.0**) from …. MySQL: Select Convert(Minutes/60.0, Decimal(65, 2)) from …. The Cast function is a wrapper for the Convert function.

## What is difference between numeric and decimal in SQL Server?

There is a small difference between NUMERIC(p,s) and DECIMAL(p,s) SQL numeric data type. NUMERIC determines the exact precision and scale. DECIMAL specifies only the exact scale; the precision is equal or greater than what is specified by the coder.

## How do I remove decimal places in SQL?

**SQL Query to Remove Decimal Values**

- Using ROUND() function: This function in SQL Server is used to round off a specified number to a specified decimal places.
- Using FLOOR() function: It returns the largest integer value that is less than or equal to a number.

## Where is decimal places in SQL?

**You cannot reliably** find the number of decimal places a number in a database has, because it is approximated to round it to store in a limited amount of storage. The difference between the real value, or even the exact binary value in the database will be rounded to represent it in decimal.

## How do I compare two decimal values in SQL?

Hence, this is equivalent to: declare @num1 decimal(18, 0) = 1.98; **declare @num2 decimal(18, 0) = 2.2**; SQL Server then assigns the values by converting the constants to the appropriate value, and both are being set to “2.”. You need to explicitly set the precision/scale if you want those values to be stored exactly.

## How do you round up in SQL?

In SQL, you round up to the **nearest integer using the CEIL or CEILING function**, depending on whether you’re using SQL Server, Oracle, MySQL or PostgreSQL.