MYSQL导入导出sql文件简析_MySQL
一.MYSQL的命令行模式的设置
桌面->我的电脑->属性->环境变量->新建->
PATH=“;path\mysql\bin;”其中path为MYSQL的安装路径。
二、命令行进入MYSQL的方法
1.C:\>mysql -h hostname -u username -p
按ENTER键,等待然后输入密码。这里hostname为服务器的名称,如localhost,username为MYSQL的用户名,如root。
进入命令行后可以直接操作MYSQL了。
2.简单介绍一下MYSQL命令:
mysql->CREATE DATABASE dbname;//创建数据库 mysql->CREATE TABLE tablename;//创建表 mysql->SHOW DATABASES;//显示数据库信息,有那些可用的数据库。 mysql->USE dbname;//选择数据库 mysql->SHOW TABLES;//显示表信息,有那些可用的表 mysql->DESCRIBE tablename;//显示创建的表的信息
三、数据库导出数据库文件
1.将数据库mydb导出到e:\mysql\mydb.sql文件中:
打开开始->运行->输入cmd 进入命令行模式
c:\>mysqldump -h localhost -u root -p mydb >e:\mysql\mydb.sql
2.将数据库mydb中的mytable导出到e:\mysql\mytable.sql文件中:
c:\>mysqldump -h localhost -u root -p mydb mytable>e:\mysql\mytable.sql
3.将数据库mydb的结构导出到e:\mysql\mydb_stru.sql文件中:
c:\>mysqldump -h localhost -u root -p mydb --add-drop-table >e:\mysql\mydb_stru.sql
四、从外部文件导入数据到数据库
从e:\mysql\mydb2.sql中将文件中的SQL语句导入数据库中:
1.从命令行进入mysql,然后用命令CREATE DATABASE mydb2;创建数据库mydb2。
2.退出mysql 可以输入命令exit;或者quit;
3.在CMD中输入下列命令:
代码如下:
c:\>mysql -h localhost -u root -p mydb2 < e:\mysql\mydb2.sql
然后输入密码,就OK了。
五、导入文件大小限制问题的解决
默认情况下:mysql 对导入文件大小有限制的,最大为2M,所以当文件很大时候,直接无法导入,下面就这个问题的解决列举如下:
1.在php.ini中修改相关参数:
影响mysql导入文件大小的参数有三个:
memory_limit=128M,upload_max_filesize=2M,post_max_size=8M
修改upload_max_filesize=200 M 这里修改满足你需要的大小,
可以同时修改其他两项memory_limit=250M post_max_size=200M
这样就可以导入200M以下的.sql文件了。
以上就是关于MYSQL导入导出.sql文件的详细内容,更多相关内容请关注PHP中文网(www.php.cn)!

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

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.

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.

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 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.

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

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.

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.

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.
