


Detailed graphic explanation of Mysql 5.7.18 decompressed version download, installation and starting mysql service
This article mainly introduces the detailed graphic and text explanation of downloading and installing the decompressed version of Mysql 5.7.18 and starting the mysql service. It is very good and has reference value. Friends in need can refer to it
Because MySQL Community Server5 There is no .ini file in the distribution package of .7.18, and the data directory will not be initialized, so the online installation and configuration tutorials for previous versions are not applicable
#step1: Download from the official websitehttps ://dev.mysql.com/downloads/mysql/
After decompression
step2: now configure environment variables
Create a new system variable named MYSQL_HOME, the path is the path to the decompressed file (remember to go to bin)
Add;%MYSQL_HOME%\bin to the path
#step3: Go to C:\Windows\System32\cmd.exe, select cmd.exe and manage it Run
cd to the file path, such as D:\SQL server\MySQL\mysql-5.7.18-winx64\bin
Enter mysqld –initialize-insecure to generate the data directory
Because there is no .ini file, you can use mysqld –verbose –help to view the configuration (It’s okay not to execute this command)
Enter mysqld -install to load the service (because I installed it again,,, so the result is different from the first installation, hhhh)
Enter net start mysql to start the service
Enter mysql -u root -p to initialize without a password, and press Enter to enter directly Database
#1. There is a Chinese manul but it is a transfer of version 5.1
http://tool.oschina.net/apidocs/apidoc? api=mysql-5.1-zh
2. The 5.7 version manul on the official website has Tutorial in English, and Chinese can be downloaded on csdn, but I don’t have enough coins to download it. It’s okay. I can hold it in English. , transfer required
https://dev.mysql.com/doc/refman/5.7/en/tutorial.html
The above is the detailed content of Detailed graphic explanation of Mysql 5.7.18 decompressed version download, installation and starting mysql service. 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.

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.

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.

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.

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.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

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.

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.
