在Oracle中,临时表是ldquo;静态rdquo;的,它与普通的数据表一样只需要一次创建,其结构从创建到删除的整个期间都是有效的。相
临时表
在Oracle中,临时表是“静态”的,它与普通的数据表一样只需要一次创建,其结构从创建到删除的整个期间都是有效的。相对于其他类型的表,临时表只有在用户实际向表中添加数据时,才会为其分配空间,并且分配的空间来自临时表空间。这就避免了与永久对象的数据争用存储空间。
创建临时表的语法如下:
table_name( column_name data_type,[column_name data_type,...] )|PRESERVE ROWS;由于临时表存储的数据只在当前事务处理或者会话进行期间有效
因此,临时表分为事务级临时表和会话级临时表。
创建事务级临时表,需要使用ON COMMIT DELETE ROWS子句,事务级临时表的记录在每次提交事务后被自动删除。
例1:
tbl_user_transcation( ID ; 会话级临时表创建会话级临时表,需要使用ON COMMIT PRESERVE ROWS子句,会话级临时表的记录在用户与服务器断开连接后被自动删除。
例2:
tbl_user_session( ID ; 操作临时表对事务级临时表插入一条数据但不COMMIT事务:
* FROM tbl_user_transcation;此时,查询结果如下:
1 siege M 28/02/1991
若进行了COMMIT,则此时表中无数据,说明Oracle已经将数据删除了。
对事务级临时表插入一条数据:
* FROM tbl_user_session; COMMIT;此时即使提交了事务,tbl_user_session 中仍有数据。
此时当关闭session后(断开数据库连接),再连接数据库,查询时则无数据了。
注:在PL/SQL Developer默认配置为打开一个窗口,即重新建立一个session,因此要注意设置共享session,
外部表外部表是Oracle提供的、可读取操作系统的文件系统中存储的数据的一种只读表。外部表中的数据存储在操作系统的文件系统中,只能读,不能修改。
创建外部表先以SYSDBA身份登录,授予用户相关权限:
DIRECTORY TO siege;然后以用户身份登录创建目录:
CREATE DIRECTORY external_student AS 'D:\';最后创建外部表:
例3:
) LOCATION ('student.csv') )注:外部的D盘下的文件student.csv如下所示:
10001,siege,304,physics,80
查询tbl_external_student与上述显示一致。
分区表在大型数据库应用中,需要处理的数据量甚至可以达到TB级。为了提高读写和查询速度,Oracle提供了一种分区技术,用户可以在创建表时应用分区技术,将数据以分区形式保存。
分区是指将表或索引分隔成相对较小的、可独立管理的部分。分区后的表与未分区的表在执行DML语句时没有任何区别。
对表进行分区,必须为表中的每一条记录指定所属分区。一条记录属于哪一个分区是由分区表对该记录的匹配字段决定的。分区字段可以是表中的一个字段或者多个字段的组合,在创建分区表时决定的。当用户对分区表进行插入、更新或者删除时,Oracle会自动根据分区字段的值来选择存储的分区。
本文永久更新链接地址:
,
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


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

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Dreamweaver Mac version
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version
Useful JavaScript development tools