


How to Eliminate Duplicate Rows When Selecting from Multiple Tables in MySQL?
Dec 18, 2024 am 03:38 AMSELECT from Multiple Tables and Handling Duplicates in MySQL
When selecting from multiple tables, it's common to encounter duplicate rows due to matching values in the linking column. In this scenario, you may need to eliminate these duplicates while retaining specific information.
Problem Statement:
The following query retrieves information from the "drinks" and "drinks_photos" tables:
SELECT name, price, photo FROM drinks, drinks_photos WHERE drinks.id = drinks_id
However, for each drink, multiple photo entries appear, resulting in duplicate rows. The goal is to eliminate these duplicates and obtain unique rows containing the name, price, and all photos associated with each drink.
Solution:
To address this issue and maintain data integrity, we can use grouping and aggregate functions in our query.
Grouping and Aggregate Functions:
- GROUP BY: Groups rows that have the same value in the specified column(s).
- Aggregate Function: An operation (e.g., COUNT, MAX, MIN) performed on a group of rows to retrieve a single value.
In this case, we can group by the "drinks_id" column to obtain unique rows for each drink.
SQL Query:
To obtain a single row for each drink and retain all photo entries, we can use the following query:
SELECT name, price, GROUP_CONCAT(photo SEPARATOR ',') AS all_photos FROM drinks, drinks_photos WHERE drinks.id = drinks_id GROUP BY drinks_id
- GROUP_CONCAT: Concatenates values from the specified column into a single string, separated by a specified delimiter (in this case, a comma).
Result:
This query returns the following result:
name | price | all_photos |
---|---|---|
fanta | 5 | ./images/fanta-1.jpg,./images/fanta-2.jpg,./images/fanta-3.jpg |
dew | 4 | ./images/dew-1.jpg,./images/dew-2.jpg |
Explanation:
- Each drink has now only one row.
- The "all_photos" column contains a comma-separated list of all photo entries associated with the drink.
Note:
- GROUP_CONCAT is not a standardized SQL aggregate function and its behavior may vary across database systems.
- If you encounter situations where you have commas within photo filenames, you may need to consider alternative approaches, such as modifying the table structure or employing a custom function on the client side to split the concatenated string.
The above is the detailed content of How to Eliminate Duplicate Rows When Selecting from Multiple Tables in MySQL?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

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

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

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 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

MySQL transactions follow ACID characteristics to ensure the reliability and consistency of database transactions. First, atomicity ensures that transactions are executed as an indivisible whole, either all succeed or all fail to roll back. For example, withdrawals and deposits must be completed or not occur at the same time in the transfer operation; second, consistency ensures that transactions transition the database from one valid state to another, and maintains the correct data logic through mechanisms such as constraints and triggers; third, isolation controls the visibility of multiple transactions when concurrent execution, prevents dirty reading, non-repeatable reading and fantasy reading. MySQL supports ReadUncommitted and ReadCommi.

MySQL's default transaction isolation level is RepeatableRead, which prevents dirty reads and non-repeatable reads through MVCC and gap locks, and avoids phantom reading in most cases; other major levels include read uncommitted (ReadUncommitted), allowing dirty reads but the fastest performance, 1. Read Committed (ReadCommitted) ensures that the submitted data is read but may encounter non-repeatable reads and phantom readings, 2. RepeatableRead default level ensures that multiple reads within the transaction are consistent, 3. Serialization (Serializable) the highest level, prevents other transactions from modifying data through locks, ensuring data integrity but sacrificing performance;

To add MySQL's bin directory to the system PATH, it needs to be configured according to the different operating systems. 1. Windows system: Find the bin folder in the MySQL installation directory (the default path is usually C:\ProgramFiles\MySQL\MySQLServerX.X\bin), right-click "This Computer" → "Properties" → "Advanced System Settings" → "Environment Variables", select Path in "System Variables" and edit it, add the MySQLbin path, save it and restart the command prompt and enter mysql--version verification; 2.macOS and Linux systems: Bash users edit ~/.bashrc or ~/.bash_

TosecurelyconnecttoaremoteMySQLserver,useSSHtunneling,configureMySQLforremoteaccess,setfirewallrules,andconsiderSSLencryption.First,establishanSSHtunnelwithssh-L3307:localhost:3306user@remote-server-Nandconnectviamysql-h127.0.0.1-P3307.Second,editMyS

MySQLWorkbench stores connection information in the system configuration file. The specific path varies according to the operating system: 1. It is located in %APPDATA%\MySQL\Workbench\connections.xml in Windows system; 2. It is located in ~/Library/ApplicationSupport/MySQL/Workbench/connections.xml in macOS system; 3. It is usually located in ~/.mysql/workbench/connections.xml in Linux system or ~/.local/share/data/MySQL/Wor

Aconnectionpoolisacacheofdatabaseconnectionsthatarekeptopenandreusedtoimproveefficiency.Insteadofopeningandclosingconnectionsforeachrequest,theapplicationborrowsaconnectionfromthepool,usesit,andthenreturnsit,reducingoverheadandimprovingperformance.Co

Turn on MySQL slow query logs and analyze locationable performance issues. 1. Edit the configuration file or dynamically set slow_query_log and long_query_time; 2. The log contains key fields such as Query_time, Lock_time, Rows_examined to assist in judging efficiency bottlenecks; 3. Use mysqldumpslow or pt-query-digest tools to efficiently analyze logs; 4. Optimization suggestions include adding indexes, avoiding SELECT*, splitting complex queries, etc. For example, adding an index to user_id can significantly reduce the number of scanned rows and improve query efficiency.

mysqldump is a common tool for performing logical backups of MySQL databases. It generates SQL files containing CREATE and INSERT statements to rebuild the database. 1. It does not back up the original file, but converts the database structure and content into portable SQL commands; 2. It is suitable for small databases or selective recovery, and is not suitable for fast recovery of TB-level data; 3. Common options include --single-transaction, --databases, --all-databases, --routines, etc.; 4. Use mysql command to import during recovery, and can turn off foreign key checks to improve speed; 5. It is recommended to test backup regularly, use compression, and automatic adjustment.
