Distributed database for big data and constructing method thereof

A construction method and database technology, applied in the big data-oriented database and its construction, distributed field, can solve the problems of poor HBase read and write ability, Redis read and write performance degradation, data loss, etc., to achieve the effect of improving efficiency

Inactive Publication Date: 2018-09-14
CHENGDU UNIV OF INFORMATION TECH
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Problems solved by technology

[0004] (1) HBase has poor read and write capabilities; Redis itself has the possibility of data loss in its design
[0005] (2) When all the data cannot be stored in memory in some cases, the read and write perf

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  • Distributed database for big data and constructing method thereof
  • Distributed database for big data and constructing method thereof
  • Distributed database for big data and constructing method thereof

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Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0042] The present invention supports high concurrency performance on the basis of supporting mass data storage. HBase is used as the core of the main data storage to give full play to its almost unlimited expansion capacity, and at the same time overcome the shortcomings of Redis in terms of data storage security; secondly, use Redis as a K-V-based cache database to give full play to its read and write performance In order to overcome the low efficiency of HBase read and write. Therefore, the combination of the two can not only realize massive data storage, but also take into account the high concurrency, high real-time p...

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Abstract

The invention belongs to the technical field of information retrieval and database structures thereof, and discloses a distributed database for big data and a constructing method thereof. A file storage layer is a distributed file system HDFS specifically and used for saving HBase data in the system and data needed by Hadoop. A database main body layer is divided into an HBase database core layerand a Redis high-speed buffering layer. An assisting tool layer is divided into an Sqoop data import export tool and a Tephra affair assisting processing framework. When the HBase and the Redis are selected to be combined and used, the saving of a large amount of data can be achieved while high concurrence and high timeliness of the system can be taken into account. For the ensuring of the consistency of data in the database, three types of replications of snapshot replication, affair replication and combining replication are mainly adopted.

Description

technical field [0001] The invention belongs to the technical field of information retrieval and its database structure, and in particular relates to a distributed, big data-oriented database and its construction method. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: Faced with the problem of growing data, various new technologies are emerging, including cloud storage, distributed storage, columnar storage, and search engines. Under normal circumstances, the above technologies can solve the processing of massive data, but each has its own advantages and disadvantages. Each technology cannot completely solve all the problems of massive data, and often needs to be combined with each other to solve practical problems. Based on the distributed architecture, it is particularly important to support big data, high performance, and strong security at the same time. The full name of HBase is Hadoop Database. It is a...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 唐聃于瀛周金全高燕袁炜
Owner CHENGDU UNIV OF INFORMATION TECH
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