mysql学习之二:sql语句学习3_MySQL
好吧,大家觉得这种字体还是比较好看,所有我们就换这种字体了。
INSERT INTO 语句用于向表格中插入新的行。
语法
<strong><code style="padding:0px; font-family:Monaco,'Andale Mono','Courier New',monospace; font-size:12px; color:inherit; background-color:transparent; border:0px">INSERT INTO 表名称 VALUES (值1, 值2,....)</code></strong>
我们也可以指定所要插入数据的列:
<strong><code style="padding:0px; font-family:Monaco,'Andale Mono','Courier New',monospace; font-size:12px; color:inherit; background-color:transparent; border:0px">INSERT INTO table_name (列1, 列2,...) VALUES (值1, 值2,....)</code></strong>
Update 语句用于修改表中的数据。
语法:
<strong><code style="padding:0px; font-family:Monaco,'Andale Mono','Courier New',monospace; font-size:12px; color:inherit; background-color:transparent; border:0px">UPDATE 表名称 SET 列名称 = 新值 WHERE 列名称 = 某值</code></strong>
DELETE 语句用于删除表中的行。
语法
<strong><code style="padding:0px; font-family:Monaco,'Andale Mono','Courier New',monospace; font-size:12px; color:inherit; background-color:transparent; border:0px">DELETE FROM 表名称 WHERE 列名称 = 值</code></strong>
删除某行
"Fred Wilson" 会被删除:
<strong><code style="padding:0px; font-family:Monaco,'Andale Mono','Courier New',monospace; font-size:12px; color:inherit; background-color:transparent; border:0px">DELETE FROM Person WHERE LastName = 'Wilson' </code></strong>
删除所有行
可以在不删除表的情况下删除所有的行。这意味着表的结构、属性和索引都是完整的:
<code style="padding:0px; font-family:Monaco,'Andale Mono','Courier New',monospace; font-size:12px; color:inherit; background-color:transparent; border:0px"><strong>DELETE FROM table_name</strong>或者:<strong>DELETE * FROM table_name</strong></code>

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





MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

Apache connects to a database requires the following steps: Install the database driver. Configure the web.xml file to create a connection pool. Create a JDBC data source and specify the connection settings. Use the JDBC API to access the database from Java code, including getting connections, creating statements, binding parameters, executing queries or updates, and processing results.

The process of starting MySQL in Docker consists of the following steps: Pull the MySQL image to create and start the container, set the root user password, and map the port verification connection Create the database and the user grants all permissions to the database

SQL statements can be created and executed based on runtime input by using Oracle's dynamic SQL. The steps include: preparing an empty string variable to store dynamically generated SQL statements. Use the EXECUTE IMMEDIATE or PREPARE statement to compile and execute dynamic SQL statements. Use bind variable to pass user input or other dynamic values to dynamic SQL. Use EXECUTE IMMEDIATE or EXECUTE to execute dynamic SQL statements.

Installing MySQL on CentOS involves the following steps: Adding the appropriate MySQL yum source. Execute the yum install mysql-server command to install the MySQL server. Use the mysql_secure_installation command to make security settings, such as setting the root user password. Customize the MySQL configuration file as needed. Tune MySQL parameters and optimize databases for performance.

To improve the performance of PostgreSQL database in Debian systems, it is necessary to comprehensively consider hardware, configuration, indexing, query and other aspects. The following strategies can effectively optimize database performance: 1. Hardware resource optimization memory expansion: Adequate memory is crucial to cache data and indexes. High-speed storage: Using SSD SSD drives can significantly improve I/O performance. Multi-core processor: Make full use of multi-core processors to implement parallel query processing. 2. Database parameter tuning shared_buffers: According to the system memory size setting, it is recommended to set it to 25%-40% of system memory. work_mem: Controls the memory of sorting and hashing operations, usually set to 64MB to 256M
