Parallel distributed-data base processing method and device

Abstract

The present invention includes receiving the recall command from the management configuration device, selecting data base to be operated in the main controller, awaking corresponding executor, executing the data base operation called by the management configuration device in the awaken executor, waiting for completing the exeuction, transmitting the executino results to corresponding local processed result memory, gathering the local processed result to create the final processed result by the main controller, and returning the final processed result to the management configuration device.

Description

technical field [0001] The invention relates to a method and device for processing distributed databases in parallel. In particular, it relates to a method for effectively managing databases to perform data communication and information management in a large-scale distributed multi-database system. Background technique [0002] With the development and popularization of computer technology, large-scale databases have rapidly entered various industries such as telecommunications and finance. In today's era of information explosion, it is increasingly difficult for a single database to meet the needs of performance and information volume on many occasions. Therefore, more distributed databases are put into use. [0003] Taking the call management center as an example, the dial-up authentication service of the call management center is implemented by the cooperation of the protocol processing device and the database device (these two devices can run on the same machine, or eac...

AI Technical Summary

Problems solved by technology

Obviously, if you choose to perform serial operations on each database, the time to execute one database operation will be greater than the sum of the execution time of each distributed database. If there are more databases in the system or some operations that take a long time, I'm afraid the operating time is unacceptable.

The use of database parallel operation will bring about data protection, process synchronization and other issues, how to determine the structure of the system becomes the key

A bad structure will not only take up a lot of system resources, but also make the code bloated and increase the points of failure

At present, most practices are that a database object corresponds to a database connection, and the management configuration device directly accesses multiple databases through its interface with the database, so that the management configuration device can only access a fixed number of databases, and a management configuration device Simultaneous processing of access to multiple databases will cause confusion in the internal structure, lengthy code, prolonged processing time, and prone to conflicts and errors, making it difficult to maintain the operation of the system

[0004] If you already have a management console program for a single database, after switching to a distributed database, almost all of the original program needs to be modified or rewritten, which is a disaster for developers

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