CTEs are a feature introduced by MySQL 8.0 to improve the readability and maintenance of complex queries. 1. CTE is a temporary result set, which is only valid in the current query, has a clear structure, and supports duplicate references; 2. Compared with subqueries, CTE is more readable, reusable and supports recursion; 3. Recursive CTE can process hierarchical data, such as organizational structure, which needs to include initial query and recursion parts; 4. Use suggestions include avoiding abuse, naming specifications, focusing on performance and debugging methods.
CTEs (Common Table Expressions) is a very practical feature introduced by MySQL 8.0. It makes complex queries clearer and more readable. If you have written SQL with nested subqueries or multi-layer derived tables before, you will find that the structure is refreshing and easier to maintain after using CTE.

What is CTE?
CTE is a temporary result set that you can define in a query and reference it in subsequent queries like using a normal table. It only exists during the current query execution and will not be persisted into the database.

Let’s give a simple example: you want to find out the employees with the highest salary in each department. If you do not use CTE, you may have to write multiple subqueries to nest them, which are logically circumvented. If you use CTE, you can first use the "maximum salary for each department" as an intermediate result, and then associate the employee table to filter the data.
WITH MaxSalaries AS ( SELECT department_id, MAX(salary) AS max_salary FROM employees GROUP BY department_id ) SELECT e.* FROM employees e JOIN MaxSalaries ms ON e.department_id = ms.department_id AND e.salary = ms.max_salary;
Does this look more intuitive? And you can also define multiple CTEs in one query and use them in combination on demand.

Basic syntax of CTE
The structure of CTE is very clear, starting with WITH
, then the name you gave to this temporary result set, followed by the query statement in brackets. After that, you can use this name repeatedly within this query scope.
The format is as follows:
WITH cte_name [(column_list)] AS ( -- Query statement) -- The main query that uses CTE in the subsequent
A few notes:
- CTE can have column names, and if not specified, it will be automatically retrieved from the query by default.
- If there are multiple CTEs, they can be separated by commas and defined in sequence.
- CTE is only valid in the current query and cannot be reused across queries.
The difference between CTE and subquery
Many people will ask: What is the difference between CTE and sub-query? In fact, they are very similar in functionality, but CTE has more advantages in readability and reusability.
Comparison items | Subquery | CTE |
---|---|---|
Structural clarity | Difficult to read when nested deep | Easier to split and understand |
Reused | Inconvenient, need to copy and paste | Can be cited multiple times |
Recursive support | Not supported | Support recursive CTE (to be discussed later) |
For example, if you want to use "selling summary for a certain month" in multiple places, you have to write it several times with subqueries, and you can call it multiple times with CTE as long as you define it once.
Use recursive CTE to process hierarchical data
MySQL 8.0 also supports recursive CTE , which is very suitable for processing tree structures or hierarchical data, such as organizational structures, classification directories, comment reply chains, etc.
Suppose you have an employees
table that contains the employee ID and the superior manager ID. If you want to find all the subordinates under a certain leader, then the recursive CTE will come in handy.
The sample code is as follows:
WITH RECURSIVE Subordinates AS ( SELECT employee_id, manager_id, name FROM employees WHERE manager_id = 100 -- Initial condition: Find the direct subordinate UNION ALL SELECT e.employee_id, e.manager_id, e.name FROM employees e INNER JOIN Subordinates s ON e.manager_id = s.employee_id ) SELECT * FROM Subordinates;
This code first selects direct subordinates, and then constantly recursively finds subordinates of these people until there are no more records. The core of recursive CTE is two parts:
- Initial query (non-recursive part)
- Recursive part, connected via
UNION ALL
It should be noted that recursion cannot continue indefinitely, otherwise an error will be reported. You can control the maximum recursion depth by setting cte_max_recursion_depth
.
Practical application suggestions
CTE is powerful, but there are some tips and precautions when using it:
- Don't abuse CTE : Not all scenarios are suitable for using CTE. There is no need to split it into CTE in simple queries, which will increase complexity.
- Naming specification : Give the CTE a meaningful name, such as
TopCustomers
orRecentOrders
, to help others understand your logic. - Performance issues : CTE does not necessarily improve performance, it is more like a logical package. If you are sensitive to performance, it is best to analyze it in combination with index and execution plan.
- Debugging method : Want to see the intermediate results of CTE? You can directly write CTE
SELECT * FROM cte_name
for easy debugging.
Basically that's it. CTE is a very practical part of modern SQL, especially when writing complex queries, which can help you clarify your ideas and improve readability. You may not be used to it at first, but once you get started, you will find that the experience of writing SQL is really different.
The above is the detailed content of Using Common Table Expressions (CTEs) in MySQL 8. 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

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.

When handling NULL values ??in MySQL, please note: 1. When designing the table, the key fields are set to NOTNULL, and optional fields are allowed NULL; 2. ISNULL or ISNOTNULL must be used with = or !=; 3. IFNULL or COALESCE functions can be used to replace the display default values; 4. Be cautious when using NULL values ??directly when inserting or updating, and pay attention to the data source and ORM framework processing methods. NULL represents an unknown value and does not equal any value, including itself. Therefore, be careful when querying, counting, and connecting tables to avoid missing data or logical errors. Rational use of functions and constraints can effectively reduce interference caused by NULL.

GROUPBY is used to group data by field and perform aggregation operations, and HAVING is used to filter the results after grouping. For example, using GROUPBYcustomer_id can calculate the total consumption amount of each customer; using HAVING can filter out customers with a total consumption of more than 1,000. The non-aggregated fields after SELECT must appear in GROUPBY, and HAVING can be conditionally filtered using an alias or original expressions. Common techniques include counting the number of each group, grouping multiple fields, and filtering with multiple conditions.

MySQL paging is commonly implemented using LIMIT and OFFSET, but its performance is poor under large data volume. 1. LIMIT controls the number of each page, OFFSET controls the starting position, and the syntax is LIMITNOFFSETM; 2. Performance problems are caused by excessive records and discarding OFFSET scans, resulting in low efficiency; 3. Optimization suggestions include using cursor paging, index acceleration, and lazy loading; 4. Cursor paging locates the starting point of the next page through the unique value of the last record of the previous page, avoiding OFFSET, which is suitable for "next page" operation, and is not suitable for random jumps.

To view the size of the MySQL database and table, you can query the information_schema directly or use the command line tool. 1. Check the entire database size: Execute the SQL statement SELECTtable_schemaAS'Database',SUM(data_length index_length)/1024/1024AS'Size(MB)'FROMinformation_schema.tablesGROUPBYtable_schema; you can get the total size of all databases, or add WHERE conditions to limit the specific database; 2. Check the single table size: use SELECTta

To set up asynchronous master-slave replication for MySQL, follow these steps: 1. Prepare the master server, enable binary logs and set a unique server-id, create a replication user and record the current log location; 2. Use mysqldump to back up the master library data and import it to the slave server; 3. Configure the server-id and relay-log of the slave server, use the CHANGEMASTER command to connect to the master library and start the replication thread; 4. Check for common problems, such as network, permissions, data consistency and self-increase conflicts, and monitor replication delays. Follow the steps above to ensure that the configuration is completed correctly.

MySQL supports transaction processing, and uses the InnoDB storage engine to ensure data consistency and integrity. 1. Transactions are a set of SQL operations, either all succeed or all fail to roll back; 2. ACID attributes include atomicity, consistency, isolation and persistence; 3. The statements that manually control transactions are STARTTRANSACTION, COMMIT and ROLLBACK; 4. The four isolation levels include read not committed, read submitted, repeatable read and serialization; 5. Use transactions correctly to avoid long-term operation, turn off automatic commits, and reasonably handle locks and exceptions. Through these mechanisms, MySQL can achieve high reliability and concurrent control.

Character set and sorting rules issues are common when cross-platform migration or multi-person development, resulting in garbled code or inconsistent query. There are three core solutions: First, check and unify the character set of database, table, and fields to utf8mb4, view through SHOWCREATEDATABASE/TABLE, and modify it with ALTER statement; second, specify the utf8mb4 character set when the client connects, and set it in connection parameters or execute SETNAMES; third, select the sorting rules reasonably, and recommend using utf8mb4_unicode_ci to ensure the accuracy of comparison and sorting, and specify or modify it through ALTER when building the library and table.
