MySQL创建和删除数据表的命令及语法详解_MySQL
创建数据表
创建MySQL数据表需要以下信息：
- 表名
- 表字段名
- 定义每个表字段
语法
以下为创建MySQL数据表的SQL通用语法：
CREATE TABLE table_name (column_name column_type);
以下例子中我们将在 TUTORIALS 数据库中创建数据表tutorials_tbl：
tutorials_tbl( tutorial_id INT NOT NULL AUTO_INCREMENT, tutorial_title VARCHAR(100) NOT NULL, tutorial_author VARCHAR(40) NOT NULL, submission_date DATE, PRIMARY KEY ( tutorial_id ) );
实例解析：
如果你不想字段为 NULL 可以设置字段的属性为 NOT NULL， 在操作数据库时如果输入该字段的数据为NULL ，就会报错。
AUTO_INCREMENT定义列为自增的属性，一般用于主键，数值会自动加1。
PRIMARY KEY关键字用于定义列为主键。 您可以使用多列来定义主键，列间以逗号分隔。
通过命令提示符创建表
通过 mysql> 命令窗口可以很简单的创建MySQL数据表。你可以使用 SQL 语句 CREATE TABLE 来创建数据表。
实例
以下为创建数据表 tutorials_tbl 实例:
root@host# mysql -u root -p
Enter password:*******
mysql> use TUTORIALS;
Database changed
mysql> CREATE TABLE tutorials_tbl( -> tutorial_id INT NOT NULL AUTO_INCREMENT, -> tutorial_title VARCHAR(100) NOT NULL, -> tutorial_author VARCHAR(40) NOT NULL, -> submission_date DATE, -> PRIMARY KEY ( tutorial_id ) -> );
Query OK, 0 rows affected (0.16 sec)
mysql>
注意：MySQL命令终止符为分号 (;) 。
使用PHP脚本创建数据表
你可以使用PHP的 mysql_query() 函数来创建已存在数据库的数据表。
该函数有两个参数，在执行成功时返回 TRUE，否则返回 FALSE。
语法
bool mysql_query( sql, connection );
实例
以下实例使用了PHP脚本来创建数据表：
<html>
<head>
<title>Creating MySQL Tables</title>
</head>
<body>
<?php
$dbhost = 'localhost:3036';
$dbuser = 'root';
$dbpass = 'rootpassword';
$conn = mysql_connect($dbhost, $dbuser, $dbpass);
if(! $conn )
{
die('Could not connect: ' . mysql_error());
}
echo 'Connected successfully<br />';
$sql = "CREATE TABLE tutorials_tbl( ".
"tutorial_id INT NOT NULL AUTO_INCREMENT, ".
"tutorial_title VARCHAR(100) NOT NULL, ".
"tutorial_author VARCHAR(40) NOT NULL, ".
"submission_date DATE, ".
"PRIMARY KEY ( tutorial_id )); ";
mysql_select_db( 'TUTORIALS' );
$retval = mysql_query( $sql, $conn );
if(! $retval )
{
die('Could not create table: ' . mysql_error());
}
echo "Table created successfully\n";
mysql_close($conn);
?>
</body>
</html>
删除数据表
MySQL中删除数据表是非常容易操作的， 但是你再进行删除表操作时要非常小心，因为执行删除命令后所有数据都会消失。
语法
以下为删除MySQL数据表的通用语法：
DROP TABLE table_name ;
在命令提示窗口中删除数据表
在mysql>命令提示窗口中删除数据表SQL语句为 DROP TABLE ：
实例
以下实例删除了数据表tutorials_tbl:
root@host# mysql -u root -p Enter password:*******
mysql> use TUTORIALS; Database changed mysql> DROP TABLE tutorials_tbl Query OK, 0 rows affected (0.8 sec) mysql>
使用PHP脚本删除数据表
PHP使用 mysql_query 函数来删除 MySQL 数据表。
该函数有两个参数，在执行成功时返回 TRUE，否则返回 FALSE。
语法
bool mysql_query( sql, connection );
实例
以下实例使用了PHP脚本删除数据表tutorials_tbl:
<html>
<head>
<title>Creating MySQL Tables</title>
</head>
<body>
<?php
$dbhost = 'localhost:3036';
$dbuser = 'root';
$dbpass = 'rootpassword';
$conn = mysql_connect($dbhost, $dbuser, $dbpass);
if(! $conn )
{
die('Could not connect: ' . mysql_error());
}
echo 'Connected successfully<br />';
$sql = "DROP TABLE tutorials_tbl";
mysql_select_db( 'TUTORIALS' );
$retval = mysql_query( $sql, $conn );
if(! $retval )
{
die('Could not delete table: ' . mysql_error());
}
echo "Table deleted successfully\n";
mysql_close($conn);
?>
</body>
</html>
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
AI Hentai Generator
Generate AI Hentai for free.
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
PHP's big data structure processing skills
May 08, 2024 am 10:24 AM
Big data structure processing skills: Chunking: Break down the data set and process it in chunks to reduce memory consumption. Generator: Generate data items one by one without loading the entire data set, suitable for unlimited data sets. Streaming: Read files or query results line by line, suitable for large files or remote data. External storage: For very large data sets, store the data in a database or NoSQL.
How to optimize MySQL query performance in PHP?
Jun 03, 2024 pm 08:11 PM
MySQL query performance can be optimized by building indexes that reduce lookup time from linear complexity to logarithmic complexity. Use PreparedStatements to prevent SQL injection and improve query performance. Limit query results and reduce the amount of data processed by the server. Optimize join queries, including using appropriate join types, creating indexes, and considering using subqueries. Analyze queries to identify bottlenecks; use caching to reduce database load; optimize PHP code to minimize overhead.
How to use MySQL backup and restore in PHP?
Jun 03, 2024 pm 12:19 PM
Backing up and restoring a MySQL database in PHP can be achieved by following these steps: Back up the database: Use the mysqldump command to dump the database into a SQL file. Restore database: Use the mysql command to restore the database from SQL files.
How to insert data into a MySQL table using PHP?
Jun 02, 2024 pm 02:26 PM
How to insert data into MySQL table? Connect to the database: Use mysqli to establish a connection to the database. Prepare the SQL query: Write an INSERT statement to specify the columns and values to be inserted. Execute query: Use the query() method to execute the insertion query. If successful, a confirmation message will be output.
How to fix mysql_native_password not loaded errors on MySQL 8.4
Dec 09, 2024 am 11:42 AM
One of the major changes introduced in MySQL 8.4 (the latest LTS release as of 2024) is that the "MySQL Native Password" plugin is no longer enabled by default. Further, MySQL 9.0 removes this plugin completely. This change affects PHP and other app
How to use MySQL stored procedures in PHP?
Jun 02, 2024 pm 02:13 PM
To use MySQL stored procedures in PHP: Use PDO or the MySQLi extension to connect to a MySQL database. Prepare the statement to call the stored procedure. Execute the stored procedure. Process the result set (if the stored procedure returns results). Close the database connection.
How to create a MySQL table using PHP?
Jun 04, 2024 pm 01:57 PM
Creating a MySQL table using PHP requires the following steps: Connect to the database. Create the database if it does not exist. Select a database. Create table. Execute the query. Close the connection.
The difference between oracle database and mysql
May 10, 2024 am 01:54 AM
Oracle database and MySQL are both databases based on the relational model, but Oracle is superior in terms of compatibility, scalability, data types and security; while MySQL focuses on speed and flexibility and is more suitable for small to medium-sized data sets. . ① Oracle provides a wide range of data types, ② provides advanced security features, ③ is suitable for enterprise-level applications; ① MySQL supports NoSQL data types, ② has fewer security measures, and ③ is suitable for small to medium-sized applications.
