Take a look at MySQL updating data and deleting data
(1)Update data
(2)Delete data
(Free learning recommendation: mysql video Tutorial)
(1), update data
Use the update statement in MySQL to update records in the table, you can update specific Rows or colleagues update all rows. The basic syntax is as follows:
update table_nameset column_name1 = value1,column_name2 = value2,.....,column_namen = valuenwhere (condition);
[Example 1] In the person table, update the record with an id value of 11, change the age field value to 15, and change the name field value to LimMing, the SQL statement is as follows;
mysql> update person -> set age =15,name ='LiMing' -> where id =11;Query OK, 1 row affected (0.05 sec)Rows matched: 1 Changed: 1 Warnings: 0mysql> select * from person where id =11;+----+--------+------+---------+| id | name | age | info |+----+--------+------+---------+| 11 | LiMing | 15 | student |+----+--------+------+---------+1 row in set (0.00 sec)
- Ensure that update ends with a where clause, and specify the conditions that the updated records need to meet through the where clause. If the where clause is ignored, MySQL will update the table All lines.
[Example 2] In the person table, update the records whose age value is 19-22, and change the info field values to student. The SQL statement is as follows:
mysql> select * from person where age between 19 and 22;+----+---------+------+------------+| id | name | age | info |+----+---------+------+------------+| 1 | Green | 21 | Lawyer || 2 | Suse | 22 | dancer || 4 | Willam | 20 | sports man || 7 | Dale | 22 | cook || 9 | Harry | 21 | magician || 10 | Harriet | 19 | pianist |+----+---------+------+------------+6 rows in set (0.00 sec)mysql> update person set info='student' where age between 19 and 22;Query OK, 0 rows affected (0.00 sec)Rows matched: 0 Changed: 0 Warnings: 0mysql> select * from person where age between 19 and 22;+----+---------+------+---------+| id | name | age | info |+----+---------+------+---------+| 1 | Green | 21 | student || 2 | Suse | 22 | student || 4 | Willam | 20 | student || 7 | Dale | 22 | student || 9 | Harry | 21 | student || 10 | Harriet | 19 | student |+----+---------+------+---------+6 rows in set (0.00 sec)
(2), delete data
Delete data from the data table using the delete statement, allowing the use of where clause to specify deletion conditions. The basic syntax format of the delete statement is as follows;
delete from table_name [where < condition>]
- table_name specifies the table to be deleted.
- "where" is an optional parameter, specifying the deletion condition. If not, the delete statement will delete all records in the table.
[Example 1] In the person table, delete the record with id equal to 11.
mysql> select * -> from person -> where id =11;+----+--------+------+---------+| id | name | age | info |+----+--------+------+---------+| 11 | LiMing | 15 | student |+----+--------+------+---------+1 row in set (0.00 sec)mysql> delete from person -> where id = 11;Query OK, 1 row affected (0.05 sec)mysql> select * -> from person -> where id = 11;Empty set (0.00 sec)
[Example 2] In the person table, use the delete statement to delete multiple records at the same time. In the previous update statement, change the info field value of the record whose age field value is 19-22 to student, here To delete these records, the SQL statement is as follows:
mysql> select * from person where age between 19 and 22;+----+---------+------+---------+| id | name | age | info |+----+---------+------+---------+| 1 | Green | 21 | student || 2 | Suse | 22 | student || 4 | Willam | 20 | student || 7 | Dale | 22 | student || 9 | Harry | 21 | student || 10 | Harriet | 19 | student |+----+---------+------+---------+6 rows in set (0.00 sec)mysql> delete from person where age between 19 and 22;Query OK, 6 rows affected (0.05 sec)mysql> select * from person where age between 19 and 22;Empty set (0.00 sec)
[Example 3] Delete all records in the person table, the SQL statement is as follows:
mysql> select * from person;+----+---------+------+-----------+| id | name | age | info |+----+---------+------+-----------+| 3 | Mary | 24 | Musician || 5 | Laura | 25 | NULL || 6 | Evans | 27 | secretary || 8 | Edison | 28 | singer || 12 | Beckham | 31 | police |+----+---------+------+-----------+5 rows in set (0.00 sec)mysql> delete from person;Query OK, 5 rows affected (0.05 sec)mysql> select * from person;Empty set (0.00 sec)
- If you want to delete all records in the table, also You can use the
truncate table
statement. truncate will directly delete the original table and re-create a table. Its syntax format istruncate table table_name
. truncate directly deletes the table instead of deleting records, so the execution speed is faster than delete.
Related free learning recommendations: mysql database(Video)
The above is the detailed content of Take a look at MySQL updating data and deleting data. For more information, please follow other related articles on the PHP Chinese website!

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 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



Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.
