How to calculate division with decimals in SQL
The division operator in SQL automatically rounds. When decimals need to be retained, you can use the ROUND() function or explicitly convert the data type to floating point.
SQL division preserving decimal method
In SQL, the division operator (/) will automatically operate on the result rounding. If you need to preserve decimals, you need to use the ROUND()
function or explicitly convert the data type.
Use ROUND() function
SELECT ROUND(x / y, 2) FROM table_name;
ROUND()
The first parameter of the function is the value to be rounded, and the second parameter is the number of decimal places to round to. For example, the above query will retain two decimal places.
Explicit conversion of data types
Another way to preserve decimals is to explicitly convert the result to a floating-point data type, such as FLOAT
or DOUBLE
. Floating-point data types can store decimals.
SELECT CAST(x / y AS FLOAT) FROM table_name;
Example
Consider the following table:
x | y |
---|---|
10 | 3 |
SELECT ROUND(x / y, 2) FROM table_name;
The above is the detailed content of How to calculate division with decimals in SQL. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Article discusses using SQL for GDPR and CCPA compliance, focusing on data anonymization, access requests, and automatic deletion of outdated data.(159 characters)

Article discusses implementing data partitioning in SQL for better performance and scalability, detailing methods, best practices, and monitoring tools.

The article discusses securing SQL databases against vulnerabilities like SQL injection, emphasizing prepared statements, input validation, and regular updates.

The DATETIME data type is used to store high-precision date and time information, ranging from 0001-01-01 00:00:00 to 9999-12-31 23:59:59.99999999, and the syntax is DATETIME(precision), where precision specifies the accuracy after the decimal point (0-7), and the default is 3. It supports sorting, calculation, and time zone conversion functions, but needs to be aware of potential issues when converting precision, range and time zones.

How to create tables using SQL statements in SQL Server: Open SQL Server Management Studio and connect to the database server. Select the database to create the table. Enter the CREATE TABLE statement to specify the table name, column name, data type, and constraints. Click the Execute button to create the table.

SQL IF statements are used to conditionally execute SQL statements, with the syntax as: IF (condition) THEN {statement} ELSE {statement} END IF;. The condition can be any valid SQL expression, and if the condition is true, execute the THEN clause; if the condition is false, execute the ELSE clause. IF statements can be nested, allowing for more complex conditional checks.

The article discusses using SQL for data warehousing and business intelligence, focusing on ETL processes, data modeling, and query optimization. It also covers BI report creation and tool integration.

To avoid SQL injection attacks, you can take the following steps: Use parameterized queries to prevent malicious code injection. Escape special characters to avoid them breaking SQL query syntax. Verify user input against the whitelist for security. Implement input verification to check the format of user input. Use the security framework to simplify the implementation of protection measures. Keep software and databases updated to patch security vulnerabilities. Restrict database access to protect sensitive data. Encrypt sensitive data to prevent unauthorized access. Regularly scan and monitor to detect security vulnerabilities and abnormal activity.
