berkeley db

Design and Implementation of Documents Retrieval System Based on Berkeley DB

基于BerkeleyDB的文献检索设计与实现

The Research and Application Embedded Database ( Berkeley DB ) in Network Performance Management System

嵌入式数据库在网络性能管理系统的应用研究

Application of Berkeley DB to Traffic Adaptive Control System

BerkeleyDB在交通自适应协调控制系统中的应用

An Embedded Streaming Media Storage System Based on Berkeley DB

一种基于BerkeleyDB的嵌入式流媒体存储系统的设计

A distributed embedded real-time database engine is designed after researching Berkeley DB .

在研究BerkeleyDB的基础上，对其数据模型、数据字典、网络特性、事务处理等方面进行优化，设计一个基于BerkeleyDB核心的分布式嵌入实时数据库引擎。

Integrity Designment of Security and Reliability on Berkeley DB

BerkeleyDB的安全性可靠性等完善设计

Applications can easily benchmark the different Berkeley DB access methods against each other for their particular data set and access pattern .

程序在需要对特殊数据结构和存取模式操作时，通过不同的算法可以轻易的解决。

This paper realizes full-text retrieval and metadata structural retrieval of scientific documents based on Berkeley DB , an open source embedded database .

该文基于开放源码的BerkeleyDB嵌入式数据库，采用不支持事务的BerkeleyDBConcurrentDataStore配置，实现了科学文献的全文检索和组合字段检索功能。

First , the author introduces the key technology used in the system and its application in system , namely embedded database Berkeley DB and multithreading programming technology used in the system .

系统中使用到了嵌入式数据库BerkeleyDB和多线程编程技术，其中多线程编程技术和线程同步技术是通讯软件实现的关键，第二章对这两个核心技术做了详细的介绍。

This paper realizes the data management of traffic adaptive control system based on Berkeley DB , an open source embedded database , which has such advantages as low cost and high efficiency .

文章利用开放源码的BerkeleyDB嵌入式数据库，实现交通自适应协调控制系统的数据管理。该设计方案大大降低了系统成本，且有着低开销、高效率的优点。

As to database , considering the storage of enormous data , we choose embedded database & Berkeley DB . Then simply introduces Extreme Programming ( XP ) .

而数据库方面，我们考虑到海量数据的存储及分析，选择了嵌入式数据库BerkeleyDB。

LDAP server is a special database . This paper analyze Berkeley DB , and try to illustrate these embedded databases such as Berkeley DB are suitable for LDAP server .

LDAP服务器是一台特殊的数据库，本文详细分析了BerkeleyDB数据库，并力图说明这一类嵌入式数据库是非常适合LDAP服务器的。

This paper compares MySQL , Berkeley DB and XML database from four aspects mentioned above , and choose Berkeley DB as database engine to build an embedded video storage and retrieval system .

本文综合评估了MySQL、BerkeleyDB和XML数据库的各项性能，确定BerkeleyDB作为嵌入式视频存储和检索系统的数据库引擎。

The Berkeley DB is introduced in the design of the URL queue . That realizes the efficient access of the queue and deposits the grabbed data in the MySql databases .

在URL队列的设计上引入了BerkeleyDB，实现了队列的高效存取，并将抓取到的数据存入MySql数据库。

For the history data management component , we define the service interface of the components using the CORBA IDL ; implement historical data storage based on Oracle Berkeley DB ; support distributed access using CORBA Trading Service .

在历史数据管理组件中，使用CORBAIDL（接口定义语言）定义了组件的对外服务接口；基于OracleBerkeleyDB实现历史数据存储；基于CORBA交易服务实现对分布式访问的支持。

Aiming at the limited resources ( such as the cache size ), the famous embedded database system , Berkeley DB , finds its wild range of application in the construction of the embedded database system of industrial strength level .

著名的嵌入式数据库应用软件BerkeleyDB主要针对受限制资源（如缓存空间等），并为它们提供工业级强度的数据库管理系统，其在嵌入式领域得到了广泛的应用。

Web data localization and renewal technology : this paper constructs a high-speed storage model on enormous data with the aid of Berkeley DB , and saves the Web data that are captured by the crawler to local memory ;

Web数据的本地化和更新技术：借助于BerkeleyDB，构建了高效的海量数据快速存储模型，并将爬虫抓取的网络数据保存到该存储中；

Embedded database Berkeley DB used in network performance manage system , resolving the problem of storage system in NPMS , improving the speed of storing and retrieving of the system , ameliorating the whole performance of the system are all discussed in the paper .

将嵌入式数据库（BerkeleyDB）应用到网络性能管理系统（NPMS）当中，较好地解决了网络性能管理系统当中海量数据的存储问题，大大提高了系统的数据存取速度，改善了系统的整体性能。

At the same time , the author deeply comprehends and expounds the operations when B-tree acts as an index structure and the way Berkeley DB used to be a rock-bottom database and implemented the Chinese dictionary based on B-tree index and Berkeley DB .

与此同时笔者深入了解并阐述了B-树作为索引结构的相关操作以及BerkeleyDB作为底层数据库的使用方法，实现了基于B-树索引和BerkeleyDB的中文词库。