Oracle 开发工具 1. SQL Plus 使用Oracle之前,需先打开Oracle服务,如图所示: 在开始菜单中找到SQL Plus并打开,如图所示: 打开SQL Plus,输入用户名和密码(scott/tiger),如图所示: 2. PLSQL Developer 点击左上角的new–Command Window,出现编辑sql
Oracle
开发工具
1. SQL Plus
使用Oracle之前,需先打开Oracle服务,如图所示:
在开始菜单中找到SQL Plus并打开,如图所示:
打开SQL Plus,输入用户名和密码(scott/tiger),如图所示:
2. PLSQL Developer
点击左上角的new–>Command Window,出现编辑sql命令界面,如图所示:
数据库表准备
- 导入D盘下的del_data.sql数据库文件,如图所示:
- 再导入D盘下的hr_cre.sql数据库文件,如图所示:
- 最后导入D盘下的hr_popul.sql数据库文件,如图所示:
- 表间的关系,如图所示:
SQL语句分为以下三种类型:
<code>DML:Data Manipulation Language数据操作语言 DDL :Data Definition Language数据定义语言 DCL :Data Control Language数据控制语言 </code>
DML
DML用于查询与修改数据记录,包括如下SQL语句:
-INSERT:添加数据到数据库中
-UPDATE:修改数据库中的数据
-DELETE:删除数据库中的数据
-SELECT:选择(查询)数据
DDL
DDL用于定义数据库的结构,比如创建、修改或删除数据库对象,包括如下SQL语句:
-CREATE TABLE:创建数据库表
-ALTER TABLE:更改表结构、添加、删除、修改列长度
-DROP TABLE:删除表
-CREATE INDEX:在表上建立索引
-DROP INDEX:删除索引
DCL
DCL用来控制数据库的访问,包括如下SQL语句:
-GRANT:授予访问权限
-REVOKE:撤销访问权限
-COMMIT:提交事务处理
-ROLLBACK:事务处理回退
-SAVEPOINT:设置保存点
-LOCK:对数据库的特定部分进行锁定

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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