Disaster recovery data comparing method based on bucket algorithm

Abstract

The invention belongs to the technical field of information, and particularly relates to a disaster recovery data comparing method based on the bucket algorithm. A disaster recovery data comparing system composed of a disaster recovery terminal database module, a data comparing tool module and a production terminal database module is adopted in the disaster recovery data comparing method based on the bucket algorithm. The disaster recovery data comparing method comprises the first step of obtaining data, the second step of distributing the data into buckets, the third step of comparing hash values of data recorded in all buckets, and the fourth step of comparing all the records after ranking. According to the disaster recovery data comparing method based on the bucket algorithm, under the remote disaster recovery conditions and on the premise of guaranteeing the accuracy of the comparison result, the transmission quantity is reduced, comparison time is shortened, and comparing efficiency is improved.

Description

technical field [0001] The invention relates to a method for comparing disaster recovery data based on a bucketing algorithm, in particular to a method for comparing disaster recovery data based on a bucketing algorithm. The invention belongs to the field of information technology. Background technique [0002] With the rapid development of science and technology and the wide application of information technology, our government and various industries are increasingly dependent on information systems, especially the information of industries and departments such as electric power, banking, railways, civil aviation, securities, insurance, customs, and taxation. The system and the e-government system have become the important infrastructure of the country. The security of important information systems directly affects the normal operation of the national economy, and is directly related to social stability and people's lives. In order to improve the ability to deal with risks...

AI Technical Summary

Problems solved by technology

[0003] 1) The existing data comparison method can only compare one record at a time for the comparison of relational data table records, resulting in low comparison efficiency;

[0004] 2) For the comparison of relational data table records in existing data comparison methods, it is necessary to compare the fields of each record one by one to determine whether a record is consistent, resulting in low comparison efficiency;

[0005] 3) The existing data comparison method for the comparison of relational data table records requires complete data information at both ends. In the case of remote disaster recovery, the transmission of a large amount of data in a short period of time will consume a lot of network bandwidth and leads to inefficient transmission

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