本文档讲的是spss statistics 19.0如何配置odbc连接本地oracle数据库,步骤如下: 1、开启远程oracle数据库服务,开启以下两个即可 2、在本地客户端中,安装好oracle数据库(版本为win32_11gr2_client,主要是为了安装oracle的odbc驱动),通过PL/SQL客户端
本文档讲的是spss statistics 19.0如何配置odbc连接本地oracle数据库,步骤如下:
1、开启远程oracle数据库服务,开启以下两个即可
2、在本地客户端中,安装好oracle数据库(版本为win32_11gr2_client,主要是为了安装oracle的odbc驱动),通过PL/SQL客户端远程连接数据库,测试是否正常。喎?http://www.2cto.com/kf/ware/vc/" target="_blank" class="keylink">vcD4KPHA+1NpEOlxhcHBcQWRtaW5pc3RyYXRvclxwcm9kdWN0XDExLjEuMFxjbGllbnRfMVxuZXR3b3JrXGFkbWluxL/CvNbQo6zQwr2odG5zbmFtZXMub3JhzsS8/qOsxNrI3cjnz8KjujwvcD4KPHA+PC9wPgo8cHJlIGNsYXNzPQ=="brush:sql;"># tnsnames.ora Network Configuration File: D:\app\1\product\11.1.0\client_1\network\admin\tnsnames.ora # Generated by Oracle configuration tools. MYORAL = (DESCRIPTION = (ADDRESS_LIST = (ADDRESS = (PROTOCOL = TCP)(HOST = 132.97.194.13)(PORT = 1521)) ) (CONNECT_DATA = (SERVICE_NAME = MYORAL) ) ) 如果正常的话,即可:
3、在spss statistics打开后选择:文件—打开数据库—新建查询
选择“添加odbc数据源”:
点击“添加”,弹出下图,并选择你所用的数据库,这里选择”oracle in oradb...”,(因为我装的是oracle11G的数据库,这里有对应的驱动):
1.数据源的名称(后面会用到) 2.描述可以随意填写 3.选择数据库的服务名(在tnsnames.ora文件配置正确的话,会自动匹配现的) 4.随便填写一个存在的数据库用户。剩下的默认,填写完成后点击test connection 会让你输入数据库用户的用户名和密码。点击确定,如果提示成功就说明你配置成功了,剩下的一路确定就行了。

然后odbc配置窗口多了一个源如下图:
最后,就可以添加数据库的数据了:

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

AI Hentai Generator
Generate AI Hentai for free.

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.

SublimeText3 Linux new version
SublimeText3 Linux latest version

SublimeText3 Chinese version
Chinese version, very easy to use

Atom editor mac version download
The most popular open source editor

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