Suppose you have many pets in your home (your "zoo") and you want to track various types of information about them. You can save your data by creating tables and loading them with the required information. You can then retrieve data from the tables to answer questions about different types of animals. This section shows how to do all these things:
· Create a database
· Create a database table
· Load data into a database table
· Retrieve data from a table in various ways
· Use multiple tables
The zoo database is simple (by design), but it's not hard to imagine it as a real-world situation where a similar database might be used. For example, a farmer could use such a database to track livestock, or a veterinarian could use it to track sick animal records. The zoo distribution containing some queries and sample data that will be used in later chapters is available from the MySQL website. There are tar compression format (http://downloads.mysql.com/docs/menagerie-db.tar.gz) and Zip compression format (http://downloads.mysql.com/docs/menagerie-db.zip).
Use the SHOW statement to find out what databases currently exist on the server:
mysql> SHOW DATABASES; +----------+ | Database | +----------+ | mysql | | test | | tmp | +----------+
Maybe the list of databases on your machine is different, but there is most likely a mysql and test database. mysql is required because it describes user access rights, and the test database is often used as a workspace for users to try their skills.
Please note that without SHOW DATABASES permission, you cannot see all databases.
If the test database exists, try to access it:
mysql> USE test Database changed
Note that USE, like QUIT, does not require a semicolon. (You can terminate such a statement with a semicolon if you like; that's okay.) The USE statement also has another special feature: it must be given on a single line.
You can use the test database in the later examples (if you have access to it), but anything you create in that database can be deleted by others who access it, so you should ask your MySQL administrator for permission to use it yourself of a database. Suppose you want to call your menagerie, the administrator needs to execute such a command:
mysql> GRANT ALL ON menagerie.* TO 'your_mysql_name'@'your_client_host';
where your_mysql_name is the MySQL user name assigned to you, and your_client_host is the host where the connected server is located.
If the administrator created the database for you when setting permissions, you can start using it. Otherwise, you need to create the database yourself:
mysql> CREATE DATABASE menagerie;
Under Unix, database names are case-sensitive (unlike SQL keywords), so you must always access the database as menagerie, not Use Menagerie, MENAGERIE or some other variable. The same goes for table names. (Under Windows, this restriction does not apply, although you must use the same case to reference the database and the table in a given query. However, for several reasons, as a best practice, always use the same case as the database was created with. Same case as .)
Creating a database does not mean selecting it and using it, you have to do it explicitly. To make the menagerie the current database, use this command:
mysql> USE menagerie Database changed
The database only needs to be created once, but it must be selected before use each time you start a mysql session. You can do this by executing a USE statement based on the above example. You can also select the database through the command line when calling mysql. You only need to specify the database name after providing the connection parameters. For example:
shell> mysql -h host -u user -p menagerie Enter password: ********
Note that the menagerie in the command line just shown is not your password. If you want to provide a password on the command line after the -p option, you cannot insert spaces (for example, as in -pmypassword, not -p mypassword). However, it is not recommended to enter the password at the command line, as this will expose the password to other users logged in on the machine.

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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