MySQL does not support FULL OUTER JOIN, and can be implemented through LEFT JOIN and RIGHT JOIN combined with UNION. 1. Use LEFT JOIN and RIGHT JOIN joint query, merge and deduplication through UNION, pay attention to the consistent order of the fields; 2. Use COALESCE to unify the primary key when processing duplicate data to facilitate subsequent processing; 3. For complex scenarios, temporary tables or subqueries can be used to process the left and right table data separately and then merge them to improve readability. The core is to merge left and right results and remove heavy weights.
MySQL itself does not support FULL OUTER JOIN
, but in actual business we often need to get all records of the two tables, regardless of whether there is a match or not. At this time, you have to simulate this effect in other ways.

In fact, the core idea is: merge the results of the left connection and the right connection , and remove duplicate data.
Let’s take a look at several commonly used implementation methods.

Joint query using LEFT JOIN and RIGHT JOIN
This is the most common and easy to understand practice. First, use LEFT JOIN
to obtain all records on the left table, then use RIGHT JOIN
to fill in the part that has the right table but does not have the left table, and finally use UNION
to merge and remove the heavy load.
SELECT * FROM left_table LEFT JOIN right_table ON left_table.id = right_table.lid UNION SELECT * FROM left_table RIGHT JOIN right_table ON left_table.id = right_table.lid;
- Note that the field order must be consistent, otherwise UNION will error.
- If you only care about some fields, you can explicitly list the field names to avoid full table scanning.
-
UNION
will automatically deduplicate. If duplicate data is allowed,UNION ALL
can be used to improve performance.
Use COALESCE to locate primary keys when processing duplicate data
In the FULL OUTER JOIN scenario, both sides may be empty. To unify primary keys, COALESCE
is usually used to specify a "representative column".

for example:
SELECT COALESCE(l.id, r.lid) AS id, l.name AS left_name, r.detail AS right_detail FROM left_table l LEFT JOIN right_table r ON l.id = r.lid UNION SELECT COALESCE(l.id, r.lid), l.name, r.detail FROM left_table l RIGHT JOIN right_table r ON l.id = r.lid;
The benefits of doing this are:
- The primary key is unified, which facilitates subsequent processing.
- You can clearly see which side has a value and which side is NULL.
Simplify logic with temporary tables or subqueries (suitable for complex scenarios)
If your SQL is already complicated or involves multiple correlation conditions, you can consider finding out the results of the left and right parts separately and then doing joint operations.
For example:
SELECT * FROM ( SELECT id, name, NULL AS detail FROM left_table ) AS left_side UNION SELECT * FROM ( SELECT lid AS id, NULL AS name, detail FROM right_table ) AS right_side;
This method is suitable for:
- Query structure and inconsistent fields.
- Data logic from different sources needs to be processed separately.
The disadvantage is that it is a bit verbose to write, but it is better readable.
In general, the key to simulate FULL OUTER JOIN is to merge the LEFT and RIGHT results, paying attention to the fields corresponding to deduplication. Although MySQL does not have native support, it can be done with UNION plus LEFT/RIGHT JOIN. Basically, just choose one that suits your scenario.
The above is the detailed content of how to simulate full outer join 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

The default user name of MySQL is usually 'root', but the password varies according to the installation environment; in some Linux distributions, the root account may be authenticated by auth_socket plug-in and cannot log in with the password; when installing tools such as XAMPP or WAMP under Windows, root users usually have no password or use common passwords such as root, mysql, etc.; if you forget the password, you can reset it by stopping the MySQL service, starting in --skip-grant-tables mode, updating the mysql.user table to set a new password and restarting the service; note that the MySQL8.0 version requires additional authentication plug-ins.

GTID (Global Transaction Identifier) ??solves the complexity of replication and failover in MySQL databases by assigning a unique identity to each transaction. 1. It simplifies replication management, automatically handles log files and locations, allowing slave servers to request transactions based on the last executed GTID. 2. Ensure consistency across servers, ensure that each transaction is applied only once on each server, and avoid data inconsistency. 3. Improve troubleshooting efficiency. GTID includes server UUID and serial number, which is convenient for tracking transaction flow and accurately locate problems. These three core advantages make MySQL replication more robust and easy to manage, significantly improving system reliability and data integrity.

There are three ways to modify or reset MySQLroot user password: 1. Use the ALTERUSER command to modify existing passwords, and execute the corresponding statement after logging in; 2. If you forget your password, you need to stop the service and start it in --skip-grant-tables mode before modifying; 3. The mysqladmin command can be used to modify it directly by modifying it. Each method is suitable for different scenarios and the operation sequence must not be messed up. After the modification is completed, verification must be made and permission protection must be paid attention to.

MySQL main library failover mainly includes four steps. 1. Fault detection: Regularly check the main library process, connection status and simple query to determine whether it is downtime, set up a retry mechanism to avoid misjudgment, and can use tools such as MHA, Orchestrator or Keepalived to assist in detection; 2. Select the new main library: select the most suitable slave library to replace it according to the data synchronization progress (Seconds_Behind_Master), binlog data integrity, network delay and load conditions, and perform data compensation or manual intervention if necessary; 3. Switch topology: Point other slave libraries to the new master library, execute RESETMASTER or enable GTID, update the VIP, DNS or proxy configuration to

The steps to connect to the MySQL database are as follows: 1. Use the basic command format mysql-u username-p-h host address to connect, enter the username and password to log in; 2. If you need to directly enter the specified database, you can add the database name after the command, such as mysql-uroot-pmyproject; 3. If the port is not the default 3306, you need to add the -P parameter to specify the port number, such as mysql-uroot-p-h192.168.1.100-P3307; In addition, if you encounter a password error, you can re-enter it. If the connection fails, check the network, firewall or permission settings. If the client is missing, you can install mysql-client on Linux through the package manager. Master these commands

InnoDB implements repeatable reads through MVCC and gap lock. MVCC realizes consistent reading through snapshots, and the transaction query results remain unchanged after multiple transactions; gap lock prevents other transactions from inserting data and avoids phantom reading. For example, transaction A first query gets a value of 100, transaction B is modified to 200 and submitted, A is still 100 in query again; and when performing scope query, gap lock prevents other transactions from inserting records. In addition, non-unique index scans may add gap locks by default, and primary key or unique index equivalent queries may not be added, and gap locks can be cancelled by reducing isolation levels or explicit lock control.

Toalteralargeproductiontablewithoutlonglocks,useonlineDDLtechniques.1)IdentifyifyourALTERoperationisfast(e.g.,adding/droppingcolumns,modifyingNULL/NOTNULL)orslow(e.g.,changingdatatypes,reorderingcolumns,addingindexesonlargedata).2)Usedatabase-specifi

The function of InnoDBBufferPool is to improve MySQL read and write performance. It reduces disk I/O operations by cacheing frequently accessed data and indexes into memory, thereby speeding up query speed and optimizing write operations; 1. The larger the BufferPool, the more data is cached, and the higher the hit rate, which directly affects database performance; 2. It not only caches data pages, but also caches index structures such as B-tree nodes to speed up searches; 3. Supports cache "dirty pages", delays writing to disk, reduces I/O and improves write performance; 4. It is recommended to set it to 50%~80% of physical memory during configuration to avoid triggering swap; 5. It can be dynamically resized through innodb_buffer_pool_size, without restarting the instance.
