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Distributed database

About: Distributed database is a research topic. Over the lifetime, 11788 publications have been published within this topic receiving 210562 citations.


Papers
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Patent
01 Jun 2016
TL;DR: In this article, a method and system for verifying the data of a distributed database in real-time is presented, where the verification logic is not influenced and the online environment is not damaged.
Abstract: The invention relates to the field of communication, and discloses a method and system for verifying the data of a distributed database in real time. The data of the distributed database is distributed in N data nodes. The method comprises the following steps: after operating the distributed database, if the operation causes the data in the N data nodes to change, obtaining the changed data and synchronizing the changed data to a verification database independent of the N data nodes by a database incremental replication platform; and querying the verification database and verifying whether the operation carried out on the distributed database obtains a correct result. According to the method and system disclosed in the invention, the verification database is added, and the distributed database incremental replication platform is utilized to synchronize the updating data in the distributed database in the verification database, so that when the number of the data nodes changes or the algorithm for distributing the data on different data nodes is adjusted, the verification logic is not influenced and the online environment is not damaged.

1 citations

Journal Article
TL;DR: The former maintenance data management information system had the problem of separate visiting in contradiction with centralized management, so the design of new system is based on oracle9i distributed database to solve this problem.
Abstract: The former maintenance data management information system had the problem of separate visiting in contradiction with centralized management. The design of new system is based on oracle9i distributed database to solve this problem. The online nodes employ database link to update, while the offline ones import and export file to synchronize. To balance the speed against convenience, different data are stored in BLOB field and files respectively. The finished system establishes a digital and network platform to share the maintenance data.

1 citations

Proceedings ArticleDOI
03 Aug 2008
TL;DR: In order to satisfy mining task for two kinds of chain retail enterprise, the paper proposes two mining models and corresponding algorithms, and does two contrast experiments under the simulation distributed setting.
Abstract: Association rules discovery is the most important and demanding task of retail enterprises data mining. It has reflected the interesting related relation of products and is helpful to make correct decisions for retail enterprises. The paper describes distributed mining technology which is suitable for retail enterprise mining, the paper analyzes its distributed management system from three aspects: 1. the communication bandwidth, 2. branch storepsilas quantity 3. the characteristics of local database, and divides chain retail enterprises into two types in term of their distributed management systems. Define two kinds of retail enterprises; they are chain retail enterprise based on massed learning and chain retail enterprise based on dispersed learning. In order to satisfy mining task for two kinds of chain retail enterprise, the paper proposes two mining models and corresponding algorithms, finally do two contrast experiments under the simulation distributed setting. From the results of experiments, two algorithms ran well on corresponding chain retail enterprises.

1 citations

Patent
14 Dec 2018
TL;DR: In this article, a method and a platform for data integration analysis are provided, which relate to the technical filed of data processing, including a distributed database server, a distributed data analysis server and a distributed application server.
Abstract: A method and a platform for data integration analysis are provided, which relate to the technical filed of data processing. The platform comprises: a distributed database server, a distributed data analysis server and a distributed application server. After the desired fields entered by the user are obtained, the distributed database server is searched to get the target data and associated data,the dimension of the target data and associated data can be increased and drilled at any time without processing in advance; the distributed data analysis server is used to analyze the data to obtainglobal information, to visualize the global information, and to obtain a variety of visual views. Multiple visual views are presented to different scenarios and different users through distributed application servers, it is convenient for users to access distributed Web servers and use different terminals to check the views. The method solves the problem that when user requirements change, data collection, and data preprocessing, storage and calculation need to be done again and the timeliness and flexibility in data processing are poor.

1 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202339
202274
2021351
2020430
2019480
2018536