The SQL ROUND() function rounds the number to the specified number of digits. It has two uses: 1. num_digits>0: rounded to decimal places; 2. num_digits
SQL ROUND() function detailed explanation
The SQL ROUND() function is used to round numbers to the specified number of digits. The basic syntax is:
<code>ROUND(number, num_digits)</code>
in:
- number: The number to be rounded.
- num_digits: Specifies the number of bits rounded, which can be negative or positive.
Example of usage
The following table shows several examples of using the ROUND() function:
enter | num_digits | Output |
---|---|---|
123.4567 | 0 | 123 |
123.4567 | 2 | 123.46 |
123.4567 | -1 | 120 |
123.4567 | 3 | 123.457 |
The difference between positive and negative num_digits
- num_digits > 0: Round the number to the specified decimal place. For example, ROUND(123.4567, 2) outputs 123.46.
- num_digits Round the number to the specified integer bit. For example, ROUND(123.4567, -1) outputs 120.
Use with caution
When using the ROUND() function, please note the following:
- This function only acts on numeric fields and is invalid for non-numeric fields.
- If num_digits is 0, the number is rounded to the nearest integer.
- If num_digits is negative, the number is rounded to the specified decimal place until the integer is reached.
- This function does not change the original number, but will only return the result after rounding.
The above is the detailed content of How to use the sql round field. For more information, please follow other related articles on the PHP Chinese website!

SQLiseasytolearnforbeginnersduetoitsstraightforwardsyntaxandbasicoperations,butmasteringitinvolvescomplexconcepts.1)StartwithsimplequerieslikeSELECT,INSERT,UPDATE,DELETE.2)PracticeregularlyusingplatformslikeLeetCodeorSQLFiddle.3)Understanddatabasedes

The diversity and power of SQL make it a powerful tool for data processing. 1. The basic usage of SQL includes data query, insertion, update and deletion. 2. Advanced usage covers multi-table joins, subqueries, and window functions. 3. Common errors include syntax, logic and performance issues, which can be debugged by gradually simplifying queries and using EXPLAIN commands. 4. Performance optimization tips include using indexes, avoiding SELECT* and optimizing JOIN operations.

The core role of SQL in data analysis is to extract valuable information from the database through query statements. 1) Basic usage: Use GROUPBY and SUM functions to calculate the total order amount for each customer. 2) Advanced usage: Use CTE and subqueries to find the product with the highest sales per month. 3) Common errors: syntax errors, logic errors and performance problems. 4) Performance optimization: Use indexes, avoid SELECT* and optimize JOIN operations. Through these tips and practices, SQL can help us extract insights from our data and ensure queries are efficient and easy to maintain.

The role of SQL in database management includes data definition, operation, control, backup and recovery, performance optimization, and data integrity and consistency. 1) DDL is used to define and manage database structures; 2) DML is used to operate data; 3) DCL is used to manage access rights; 4) SQL can be used for database backup and recovery; 5) SQL plays a key role in performance optimization; 6) SQL ensures data integrity and consistency.

SQLisessentialforinteractingwithrelationaldatabases,allowinguserstocreate,query,andmanagedata.1)UseSELECTtoextractdata,2)INSERT,UPDATE,DELETEtomanagedata,3)Employjoinsandsubqueriesforadvancedoperations,and4)AvoidcommonpitfallslikeomittingWHEREclauses

SQLisnotinherentlydifficulttolearn.Itbecomesmanageablewithpracticeandunderstandingofdatastructures.StartwithbasicSELECTstatements,useonlineplatformsforpractice,workwithrealdata,learndatabasedesign,andengagewithSQLcommunitiesforsupport.

MySQL is a database system, and SQL is the language for operating databases. 1.MySQL stores and manages data and provides a structured environment. 2. SQL is used to query, update and delete data, and flexibly handle various query needs. They work together, optimizing performance and design are key.

The difference between SQL and MySQL is that SQL is a language used to manage and operate relational databases, while MySQL is an open source database management system that implements these operations. 1) SQL allows users to define, operate and query data, and implement it through commands such as CREATETABLE, INSERT, SELECT, etc. 2) MySQL, as an RDBMS, supports these SQL commands and provides high performance and reliability. 3) The working principle of SQL is based on relational algebra, and MySQL optimizes performance through mechanisms such as query optimizers and indexes.


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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

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

SublimeText3 Linux new version
SublimeText3 Linux latest version

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

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

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool
