Oracle学习:表的创建与主键自增长
项目中有一个将图片存入数据库的需求,需要新建一张表,正好借此机会学习一下Oracle表的创建和设置表中主键自增长的方法。
项目中有一个将图片存入数据库的需求,需要新建一张表,正好借此机会学习一下Oracle表的创建和设置表中主键自增长的方法。
首先是创建项目所需表:
create table Device_Photo(
Device_PhotoID number(4) primary key,
Work_id number(10),
COL_115 varchar2(20),
photo1 blob,
photo1_save_date date,
photo2 blob,
photo2_save_date date,
photo3 blob,
photo3_save_date date,
photo4 blob,
photo4_save_date date,
photo5 blob,
photo5_save_date date,
create_date date,
comments varchar2(20)
);
除了数据类型的写法略有不同之外,Oracle表的创建与SQL SERVER基本相同,比较简单。
接下来面对的一个问题是:在Oracle中为主键设置自增长,SQL SERVER中实现比较简单,但是Oracle中没有提供类似的方法,,查阅了一下资料,Oracle中为主键设置自增长需要通过序列来完成。
序列是Oracle中独特的东西,用来产生唯一的不间断的数字序列,产生的序列一般用来做主键。
创建一个序列SEQ_Device_Photo
create sequence SEQ_Device_Photo
minvalue 1
nomaxvalue
start with 1
increment by 1
nocycle
cache 20;
创建好之后使用方法与查询结果如下:

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











The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

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 suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.
