Oracle触发器(trigger):view,schema,database
Oracle触发器(trigger):view,schema,database
视图trigger, instead of
我们知道如果一个view只是由一个table构成,那在view上做啥操作没太多限制.如果view是由多个table组成那在view上做啥unpdate,insert,delete都会出错.但有时又确实要做这些操作该咋办呢.这就需要用到trigger,然后通过instead of关键字来指定一些替代操作.
举个简单例子,如果有view, my_view创建trigger如下
create or replace trigger my_view_trigger
instead of insert or update
on my_view
declare
insert into tmp(eno) values(:new.eno);
end;
当执行sql : insert into my_view(eno, name) values(88,'test');时触发trigger.
不过view的instead of类型的trigger相对其他类型trigger有个特别的地方.从名字也可以看出来,可以替换掉了触发它的sql的操作.也就是insert into my_view(eno, name) values(88,'test');这个sql本身的操作不会起作用了.只有trigger里面的pl/sql语句块才真正执行.
注意事项:
1.instead of 类型触发器只能针对view创建,并且该view上不能有些check option(比如with check read only之类的),这以所这样是防止不同的功能之间的冲突.假如是一个read only类型的view,那自然不能整出个trigger又可以做些DML操作了.
2.不能指定before或after选项,因为触发trigger的sql实际上并不会执行,所以before或after就没有啥意义了.
Database , Schema级别trigger针对表和视图的Triggers可能开发人员用的多.针对database,schema的Trigger一般是DBA用的多点.
比如创建trigger每当schema上有DDL操作时触发(针对表或视图的trigger只能针对DML操作,不能针对DDL操作).
举个简单的例子
CREATE OR REPLACE TRIGGER ddl_trigger
AFTER DDL ON SCHEMA
BEGIN
insert into tblog values(systimestamp,ora_sysevent, ora_login_user,
ora_dict_obj_type, ora_dict_obj_name);
END;
其中ora_login_user是登陆名,ora_dict_obj_type对象类型(比如表或视图),ora_dict_obj_name是对象名字,比如表名或视图名.你可能看到这些变量貌似没在哪里定义.实际上是Oracle定义好的,,你只要拿来用就行.
假如随便用哪个用户执行如下sql: create table tmp_tb(eno int); 就会触发trigger.
不过貌似上面不能直接指定是具体的哪个schema,只能针对所有schema了啊.
假如用户每次登陆时要做些记录.那可以创建如下trigger
CREATE OR REPLACE TRIGGER logon_trigger
AFTER LOGON ON DATABASE
BEGIN
INSERT INTO tblog VALUES (ora_login_user, ora_client_ip_address, systimestamp);
END ;
这里的logon on database不是说数据库启动,而是每次连接一个session的时候.

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











Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

LaravelEloquent Model Retrieval: Easily obtaining database data EloquentORM provides a concise and easy-to-understand way to operate the database. This article will introduce various Eloquent model search techniques in detail to help you obtain data from the database efficiently. 1. Get all records. Use the all() method to get all records in the database table: useApp\Models\Post;$posts=Post::all(); This will return a collection. You can access data using foreach loop or other collection methods: foreach($postsas$post){echo$post->

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL is suitable for beginners because it is simple to install, powerful and easy to manage data. 1. Simple installation and configuration, suitable for a variety of operating systems. 2. Support basic operations such as creating databases and tables, inserting, querying, updating and deleting data. 3. Provide advanced functions such as JOIN operations and subqueries. 4. Performance can be improved through indexing, query optimization and table partitioning. 5. Support backup, recovery and security measures to ensure data security and consistency.
