How to create and manage databases after mysql installation
This article explains the creation and management of MySQL database. 1. Use the CREATE DATABASE command to create a database, such as CREATE DATABASE my_first_database;, the database name should be lowercase and underscore. 2. Use the USE command to select a database, such as USE my_first_database; to avoid operating incorrect databases. 3. Use the CREATE TABLE command to create a table, define fields and data types, such as creating a books table that contains id, title, author and isbn fields. To master the database addition, deletion, modification and detection and performance optimization, you need to continue to learn and practice to be proficient in MySQL.
Creation and management of MySQL database: From a novice to an expert to advance
Many friends are at a loss when they have installed MySQL. This article will take you to master the creation and management of MySQL databases from scratch, and you are no longer a database novices! After reading, you will be able to easily create, modify, delete databases, and understand the principles and potential problems behind them.
The core concepts of MySQL: databases, tables, users
Before we start, we need to figure out several basic concepts. You can imagine MySQL as a large library. The database is different branches in the library (for example: novel library, science and technology library). Each branch stores different books (tables), and you are the reader (user) with access permission. Each table contains structured data, such as book title, author, ISBN, etc. By understanding this metaphor, you will have a preliminary understanding of the concept of database.
Creating a database: Hands-on practice
Creating a database is like opening a new branch in a library. On the MySQL command line client (you should have installed and started), use the CREATE DATABASE
command:
<code class="language-sql">CREATE DATABASE my_first_database;</code>
This line of code creates a database named my_first_database
. Simple? However, there is a pit here: it is best to use lowercase letters and underscores to avoid keyword conflicts with MySQL and to be more in line with the specifications. In addition, the database name should be descriptive and convenient for you to manage in the future.
Database selection and use: Switch perspective
After creating the database, you need to select it to operate. It's like you go to a branch in the library, using the USE
command:
<code class="language-sql">USE my_first_database;</code>
Now, all your operations will be performed in this database. Forgot USE
commands, you may perform operations in the wrong database, causing data confusion and even data loss. Therefore, develop good habits and check the currently used database before each operation.
Creation of tables: Building a data structure
The database has been created, and the next step is to create a table, that is, the container for storing data. Suppose we want to create a table that stores book information:
CREATE <code class="language-sql">CREATE TABLE books ( id INT AUTO_INCREMENT PRIMARY KEY, title VARCHAR(255) NOT NULL, author VARCHAR(255), isbn VARCHAR(20) UNIQUE);</code>
This code creates a table called books
, containing four fields: id
(auto increment primary key), title
(book title, not allowed), author
(author) and isbn
(international standard book number, unique). Pay attention to the selection of data types, which directly affects the storage efficiency and integrity of the data. It is very important to choose the right field type, which needs to be traded down based on actual conditions. For example, using VARCHAR
instead of TEXT
can save space, but TEXT
can store longer text.
Database management: Add, delete, modify and check
Creating and using a database is only the first step, and more importantly, managing it. This includes data addition, deletion, modification and query (CRUD), as well as database backup and recovery. MySQL provides a wealth of commands to accomplish these operations, such as INSERT
, UPDATE
, DELETE
, SELECT
, etc. Learning these commands requires a lot of practice. It is recommended that you do more hands-on to truly master them.
Performance optimization: Avoid inefficient operations
The performance of the database directly affects the efficiency of the application. Some common performance problems include: unreasonable database design, lack of indexing, inappropriate SQL statements, and more. For example, SELECT
statements without indexes can be very slow. Learning SQL optimization techniques is crucial to building high-performance databases. This requires you to have a certain understanding of the internal mechanism of the database, such as how the query optimizer works.
Summary: Continuous learning, continuous improvement
Learning MySQL database is a process of continuous learning, and there is no shortcut to take. Only by constantly practicing and learning new knowledge can you become a real database expert. I hope this article can help you get started and start your MySQL learning journey! Remember, you can truly master this technology by doing more and thinking more.
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