Method for comparing mass data and device thereof

Abstract

The invention discloses a method for comparing mass data. The method comprises the following steps: acquiring a first summary identification and a second summary identification which have the same service record identification, wherein, the first summary identification and the second summary identification respectively belong to main equipment and standby equipment which adopt a dual-homing networking mode; and determining that service records which are respectively corresponding to the service record identification on the main equipment and the standby equipment contain the same service field when the first summary identification is the same as the second summary identification. Therefore, the method helps shield the characteristics of various services to a certain extent, simplify key words of different services, lower the complexity of the comparison process of service data and improve working efficiency. Meanwhile, the invention discloses a device for comparing the mass data.

Description

technical field [0001] The invention relates to the fields of computer and communication, in particular to a method and device for comparing massive data. Background technique [0002] At present, in a next generation network (Next Generation Network, NGN) of China Telecom, in order to ensure high reliability of control layer data, a dual-homing networking mode needs to be used. The so-called dual-homing networking mode is to store the data that needs to be saved on two devices at the same time, so that it has dual-homing characteristics; the two devices are called the main device and the backup device respectively; the data stored on the main device is called The primary data or primary records, while the data stored on the standby device is called standby data or standby records. Using the dual-homing networking mode can improve the disaster recovery capability of the softswitch device through redundant backup. [0003] In the dual-homing networking mode, most of the dat...

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Problems solved by technology

[0009] 3. When the business data changes, the corresponding SQL statements need to be adjusted. Since the individual characteristics of various business data cannot be shielded, different processing methods are required for different business data, which greatly increases the maintenance work in the later period. the complexity

[0012] 1. Completely reading all primary data and standby data into the memory will greatly increase the I / O operations of the system, thereby increasing system overhead and causing system performance loss

[0013] 2. It takes a lot of memory overhead to completely read all the primary data and standby data into the memory, so the response speed of the system will be very slow, which greatly reduces the work efficiency of business data comparison

[0015] 4. When the business data changes, it is necessary to modify the data structure of the business data stored in the memory. Since the individual characteristics of various business data cannot be shielded, it is necessary to implement different processing methods for different business data, which greatly increases the later stage. Complexity of Maintenance Work

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