创建Oracle dblink 的两种方式
两台不同的Oracle数据库服务器,从一台数据库服务器的一个用户读取另一台数据库服务器下的某个用户的数据,这个时候可以使用dbli
两台不同的Oracle数据库服务器,从一台数据库服务器的一个用户读取另一台数据库服务器下的某个用户的数据,这个时候可以使用dblink。
其实dblink和数据库中的view差不多,建dblink的时候需要知道待读取数据库的ip地址,ssid以及数据库用户名和密码。
创建可以采用两种方式:
1、已经配置本地服务
以下是引用片段:
create public database
link fwq12 connect to fzept
identified by neu using 'fjept' CREATE DATABASE LINK数据库链接名CONNECT TO 用户名 IDENTIFIED BY 密码 USING ‘本地配置的数据的实例名’;
2、未配置本地服务
以下是引用片段:
create database link linkfwq
connect to fzept identified by neu
using '(DESCRIPTION =
(ADDRESS_LIST =
(ADDRESS = (PROTOCOL = TCP)(HOST = 10.142.202.12)(PORT = 1521))
)
(CONNECT_DATA =
(SERVICE_NAME = fjept)
)
)'; host=数据库的ip地址,service_name=数据库的ssid。
其实两种方法配置dblink是差不多的,我个人感觉还是第二种方法比较好,,这样不受本地服务的影响。
数据库连接字符串可以用NET8 EASY CONFIG或者直接修改TNSNAMES.ORA里定义.
数据库参数global_name=true时要求数据库链接名称跟远端数据库名称一样
数据库全局名称可以用以下命令查出
SELECT * FROM GLOBAL_NAME;
查询远端数据库里的表
SELECT …… FROM 表名@数据库链接名;
查询、删除和插入数据和操作本地的数据库是一样的,只不过表名需要写成“表名@dblink服务器”而已。
附带说下同义词创建:
CREATE SYNONYM同义词名FOR 表名;
CREATE SYNONYM同义词名FOR 表名@数据库链接名;
删除dblink:DROP PUBLIC DATABASE LINK linkfwq。
如果创建全局dblink,必须使用systm或sys用户,在database前加public。

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.

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 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.

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

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

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.

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.
