Machine scale data comparison method for big data processing
A big data processing and data comparison technology, applied in the direction of digital value comparison, processing input data, etc., can solve the problems affecting the query speed, etc., to achieve the effect of speeding up the query, easy to use, and avoiding the process of interpretation and conversion
Active Publication Date: 2020-10-09
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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Problems solved by technology
The query conditions include multiple data types such as numerical values, characters, logic, and dates, and the information characteristics of each data type need to be converted, connected, compared, and merged, which seriously affects the query speed
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[0039] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0040] In fact, no matter what meaning the query field represents, it is the number of machines for hardware devices, that is, binary data. As for whether the fields are numeric, character, logic, date or other data types, from the perspective of machine numbers, either It is fixed-point data or floating-point data. Therefore, if the fields are com...
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The invention belongs to the technical field of machine number-level data comparison method, and particularly relates to a big data processing-oriented machine number-level data comparison method. Forfixed point data, if a size relationship between two pieces of fixed point data needs to be compared, the two pieces of fixed point data are respectively considered as a signed number and an unsignednumber, two corresponding assembly lines are designed, data in a register is compared bit by bit, and a comparison result of each bit is judged according to a high-to-low sequence of the bits so as to determine a fixed point data comparison result; and f or floating point data, the floating data is considered as signed fixed point data corresponding to a bit number to be compared. According to the method, meanings of query fields are not explained, to-be-queried fields are divided into fixed point data and floating point data from the angle of machine number, and in the machine number level,binary numerical values are directly compared without analyzing data types of the query fields, so that the processes of conversion and explanation are avoided and the system query speed is greatly improved.
Description
technical field [0001] The invention belongs to the technical field of machine scale data comparison methods, in particular to a machine scale data comparison method oriented to big data processing. Background technique [0002] The development of technologies such as the Internet, mobile communications, social networks, and e-commerce has brought human society into the era of big data on the order of "ZB". Big data has the 4V characteristics of huge data volume (Volume), various data types (Variety), low value density (Value), and fast processing speed (Velocity). The management query requirements and difficulties for data information are getting higher and higher. The database system is the core of the management information system, and the database-based online transaction processing (OLTP) and online analytical processing (OLAP) are the core operations for applications such as network protocol analysis and database retrieval. [0003] Judging from the use cases of most ...
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IPC IPC(8): G06F7/02
CPCG06F7/02
Inventor 唐永鹤蒋烈辉董卫宇何红旗苏童王瑞敏侯一凡朱晓东苗新亮
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU