这段时间为公司内部的数据处理开发了一个工具,牵涉到在Oracle中集成java应用,总结了一些经验,以供大家参考了! 程序分两部分,前端界面由VB/VC开发,主要实现数据处理配置及常规记录运算,这部分没有什么好说的了。 后台以Oracle为数据基础处理托管平台,
这段时间为公司内部的数据处理开发了一个工具,牵涉到在Oracle中集成java应用,总结了一些经验,以供大家参考了!
程序分两部分,前端界面由VB/VC开发,主要实现数据处理配置及常规记录运算,这部分没有什么好说的了。
后台以Oracle为数据基础处理托管平台,在数据处理过程中,需要对一些名称、地址什么的进行摘要提取、拆分等等。这部分是以java实现的,loadjava到Oracle中做成相应的处理函数。
在这里,如何在Oracle中集成java大家可以在网上轻松找到,这里就不详细说明了。主要着重说明一些需要注意的细节:
1:在loadjava的时候,最好加上“-genmissing”参数,这样,在对应的jar或java文件上传后,Oracle会马上加载每个类,如果有错误,会马上在命令行中详细列出,从而避免了在运行中出错。运行中出错有时候报错信息很粗陋,很难排查!
2:如果在java程序中牵涉到对系统环境变量、磁盘、IO通道等资源的读写,一定要先给相关用户授权,一般如下:
3:java代码的版本:9i数据库只支持jdk1.3,10g支持1.4,11g以上的才支持jdk1.5,所以如果采用泛型、enum等特性的java代码只能在11g上用,如果实际生产系统中必须使用10g以下的版本,又不想对代码进行大规模修改的话,可以采用“retrotranslator”这个开源工具对jdk1.5以上的类进行1.4兼容处理。关于这方面的内容,可以参考:http://www.ibm.com/developerworks/cn/java/j-jtp02277.html?s_cmp=techccid&s_tact=105agx52
"retrotranslator"的站点:http://retrotranslator.sourceforge.net/
一般的用法:
java -jar retrotranslator-transformer-1.2.9.jar -srcjar M:/Develop/WordSimilarity/dist/WordSimilarity.jar -destjar M:/Develop/WordSimilarity/dist/WordSimilarity14.jar -embed com.navinfo.transformer
4:被集成为Oracle函数的功能,如分词等,一定要设置为全局static,这样可以防止重复加载,提高处理效率

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


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