Table of Contents
Mysql uses left join to connect duplicates
Problem description
Question example
Solutions to the problem
When mysql uses left join, the data in the right table has duplicate data
Home Database Mysql Tutorial How to solve the duplication problem in mysql using left join connection

How to solve the duplication problem in mysql using left join connection

Jun 02, 2023 pm 01:13 PM
mysql left join

    Mysql uses left join to connect duplicates

    Problem description

    When using join query, for example, table A is the main table , left connection to table B. What we expect is that the query result will have as many records as there are in table A. However, there may be a result that the total number of records queried is more than the total number of records in table A. , and when the query results are displayed, some columns are repeated. Simply put, a Cartesian product is generated.

    Question example

    Table A is the user table (user), and the fields are:

    ID name userid
    1 aaaa 10001
    2 bbbb 10002
    3 ccccc 10003

    The B table is the first type of product table (product), and the fields are:

    ID title time userid
    1 Title 1 2014-01-01 10002
    2 Title 2 2014-01-01 10002
    3 Title 3 2014-01-01 10001
    4 Title 4 2018-03-20 10002
    5 Title 5 2018-03-20 10003

    At this time, when we used the following sql to execute, we found that

    selecct * from user left join product on user.userid=product.userid;
    Copy after login

    How to solve the duplication problem in mysql using left join connection

    The execution result was actually higher than the total number of records in the user table Many

    Solutions to the problem

    In fact, this problem can be seen by a discerning person at a glance. Because the keywords of the left join are not unique in the product table, this part of the non-unique data generates a Cartesian product. , resulting in more execution results than expected.

    The solution is to use unique keys to associate and do link queries

    When mysql uses left join, the data in the right table has duplicate data

    LEFT JOIN keyword will Returns all rows from the left table (table_name1), even if there are no matching rows in the right table (table_name2). At this time, there is no problem if the right table (table_name2) has no data or only one piece of data after being filtered by the on keyword.

    What I want to talk about is how to deal with duplicate data (complete duplication in business) in the right table (table_name2).

    When the right table (table_name2) is filtered by the on keyword and duplicate data appears, the data found at this time will be, right table data * duplicate data, other conditional data in the right table, and the data we need The number of items is different.

    My solution is to first query the right table (table_name2) according to the filter field grouping, filter out the same data, and then treat the result as the right table for association

    前面脑补 
    LEFT JOIN (SELECT MODEL_CODE,MODEL_NAME from tm_model GROUP BY MODEL_CODE) tm on tav.model_code = tm.MODEL_CODE 
    后面脑补
    Copy after login

    The above is the detailed content of How to solve the duplication problem in mysql using left join connection. For more information, please follow other related articles on the PHP Chinese website!

    Statement of this Website
    The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

    Hot AI Tools

    Undresser.AI Undress

    Undresser.AI Undress

    AI-powered app for creating realistic nude photos

    AI Clothes Remover

    AI Clothes Remover

    Online AI tool for removing clothes from photos.

    Undress AI Tool

    Undress AI Tool

    Undress images for free

    Clothoff.io

    Clothoff.io

    AI clothes remover

    AI Hentai Generator

    AI Hentai Generator

    Generate AI Hentai for free.

    Hot Article

    R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
    3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
    R.E.P.O. Best Graphic Settings
    3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
    R.E.P.O. How to Fix Audio if You Can't Hear Anyone
    3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

    Hot Tools

    Notepad++7.3.1

    Notepad++7.3.1

    Easy-to-use and free code editor

    SublimeText3 Chinese version

    SublimeText3 Chinese version

    Chinese version, very easy to use

    Zend Studio 13.0.1

    Zend Studio 13.0.1

    Powerful PHP integrated development environment

    Dreamweaver CS6

    Dreamweaver CS6

    Visual web development tools

    SublimeText3 Mac version

    SublimeText3 Mac version

    God-level code editing software (SublimeText3)

    Unable to log in to mysql as root Unable to log in to mysql as root Apr 08, 2025 pm 04:54 PM

    The main reasons why you cannot log in to MySQL as root are permission problems, configuration file errors, password inconsistent, socket file problems, or firewall interception. The solution includes: check whether the bind-address parameter in the configuration file is configured correctly. Check whether the root user permissions have been modified or deleted and reset. Verify that the password is accurate, including case and special characters. Check socket file permission settings and paths. Check that the firewall blocks connections to the MySQL server.

    mysql whether to change table lock table mysql whether to change table lock table Apr 08, 2025 pm 05:06 PM

    When MySQL modifys table structure, metadata locks are usually used, which may cause the table to be locked. To reduce the impact of locks, the following measures can be taken: 1. Keep tables available with online DDL; 2. Perform complex modifications in batches; 3. Operate during small or off-peak periods; 4. Use PT-OSC tools to achieve finer control.

    Query optimization in MySQL is essential for improving database performance, especially when dealing with large data sets Query optimization in MySQL is essential for improving database performance, especially when dealing with large data sets Apr 08, 2025 pm 07:12 PM

    1. Use the correct index to speed up data retrieval by reducing the amount of data scanned select*frommployeeswherelast_name='smith'; if you look up a column of a table multiple times, create an index for that column. If you or your app needs data from multiple columns according to the criteria, create a composite index 2. Avoid select * only those required columns, if you select all unwanted columns, this will only consume more server memory and cause the server to slow down at high load or frequency times For example, your table contains columns such as created_at and updated_at and timestamps, and then avoid selecting * because they do not require inefficient query se

    The relationship between mysql user and database The relationship between mysql user and database Apr 08, 2025 pm 07:15 PM

    In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

    RDS MySQL integration with Redshift zero ETL RDS MySQL integration with Redshift zero ETL Apr 08, 2025 pm 07:06 PM

    Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.

    Can mysql run on android Can mysql run on android Apr 08, 2025 pm 05:03 PM

    MySQL cannot run directly on Android, but it can be implemented indirectly by using the following methods: using the lightweight database SQLite, which is built on the Android system, does not require a separate server, and has a small resource usage, which is very suitable for mobile device applications. Remotely connect to the MySQL server and connect to the MySQL database on the remote server through the network for data reading and writing, but there are disadvantages such as strong network dependencies, security issues and server costs.

    Do mysql need to pay Do mysql need to pay Apr 08, 2025 pm 05:36 PM

    MySQL has a free community version and a paid enterprise version. The community version can be used and modified for free, but the support is limited and is suitable for applications with low stability requirements and strong technical capabilities. The Enterprise Edition provides comprehensive commercial support for applications that require a stable, reliable, high-performance database and willing to pay for support. Factors considered when choosing a version include application criticality, budgeting, and technical skills. There is no perfect option, only the most suitable option, and you need to choose carefully according to the specific situation.

    How to optimize MySQL performance for high-load applications? How to optimize MySQL performance for high-load applications? Apr 08, 2025 pm 06:03 PM

    MySQL database performance optimization guide In resource-intensive applications, MySQL database plays a crucial role and is responsible for managing massive transactions. However, as the scale of application expands, database performance bottlenecks often become a constraint. This article will explore a series of effective MySQL performance optimization strategies to ensure that your application remains efficient and responsive under high loads. We will combine actual cases to explain in-depth key technologies such as indexing, query optimization, database design and caching. 1. Database architecture design and optimized database architecture is the cornerstone of MySQL performance optimization. Here are some core principles: Selecting the right data type and selecting the smallest data type that meets the needs can not only save storage space, but also improve data processing speed.

    See all articles