MySQL is a small and medium-sized relational database management system developed by the Swedish MySQL AB company and currently belongs to Oracle. MySQL is a relational database management system. A relational database stores data in different tables instead of putting all data in one large warehouse, which increases speed and flexibility. MySQL's SQL language is the most commonly used standardized language for accessing databases. MySQL software adopts GPL (GNU General Public License), which is divided into free version and commercial version. Due to its small size, fast speed and low total cost of ownership, especially the open source feature, the development of small and medium-sized websites is generally Choose MySQL as the website database. Due to the excellent performance of its free version, it can form a good development environment with PHP and Apache.
So how to import MySQL into the database? In fact, the import method is very simple. Here we use two methods: tool import and import using only the mysql command interface. Of course, there are many mysql database graphical interface tools, which are also more convenient to use. Follow me to operate it together!
Method 1
1. First, we use the command line interface provided by MySQL to import the database and ensure that the MySQL database is installed on our computer. We can confirm whether it is through the command line After installing the MySQL database, of course, the first step is to open the Mysql database service. We use the command line to open it: as shown below:
##2. After starting MySQL, we find the script file we need to use, which is the database file. Of course, we must first create a database. Only in this way can the script be imported, as shown below:
#4. First, you need to create a database in the database, and then import the script, so create a database first. If you don’t need a script, you won’t know which database you want to import the script into, as shown in the figure below:
##5. Then you can enter the import .sql file Command:
mysql> USE 数据库名; mysql> SOURCE d:/test.sql;
As shown below:
#6. See the above screen, indicating that the mysql database has been imported successfully Oh!
Isn’t it very simple? Now let’s introduce the second method, using the mysql graphic tool to import the database. We still use the test.sql script to illustrate:
Method 2
1. Use Navicat for MySQL graphical interface to import the database. The steps to import the database using the graphical interface are very simple, as shown in the following figure:
##2. After establishing the database in the graphical interface , we use the function of the import script to import the database, as shown in the following figure:
##
3. Click to select the script, we select the test.sql script on the D drive, and then set the database character format, as shown below:
4. Then click to start running the script. The script will start to be imported! After the import is completed, a success prompt will appear. , as shown in the figure below:
##5. Then we close the database first, and then open the database to see the tables of the established database, as shown in the figure below:
Isn’t it very simple? If you are not very familiar with mysql, let’s try it together!
The above is the detailed content of Mysql import database method. For more information, please follow other related articles on the PHP Chinese website!

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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

Atom editor mac version download
The most popular open source editor

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

WebStorm Mac version
Useful JavaScript development tools

Dreamweaver CS6
Visual web development tools
