Parallel Comparison Model and Method for Massive Normalized Data
A data-mass technology, applied in electrical digital data processing, digital data information retrieval, special data processing applications, etc., can solve problems such as slow query speed, inability to compare query fields at one time, etc., to improve efficiency, achieve query performance, improve The effect of query efficiency
Active Publication Date: 2020-09-25
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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[0004] When traditional databases perform queries with complex query conditions, the query conditions contain multiple fields. The database cannot compare all the query fields at once, but compares them one by one. The more fields in the query condition, the slower 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] Such as figure 1 As shown, this embodiment provides a parallel comparison model for massive normalized data, including a storage template register, a current record register, a field flag register, a mask register, a field type register, a result flag register, and a field requirement register.
[0041] The storage template register is used...
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The invention belongs to the technical field of machine number level data comparison methods, and particularly relates to a parallel comparison model for mass normalized data. The model comprises a store template register, a current record register, a field marker register, a mask register, a field type register, a result identify register and a field requirement register. The invention further provides a parallel comparison method for the mass normalized data. The method includes: loading query data of a database into the current record register; setting the various registers in the model; performing comparison on binary numbers of fields of the query data and the comparison template in the machine number level, and storing comparison results in the result identify register. By the arrangement, parallel comparison on multiple fields of query conditions with the mass normalized data is realized, query efficiency is improved, and query time is shortened.
Description
technical field [0001] The invention belongs to the technical field of machine scale data comparison methods, in particular to a parallel comparison model and method for massive normalized data. 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 query operation is the core operation of the big data application. [0003] Judging from the use cases of most systems, the query operation occupies a relatively large proportion in various database operations, and the time cost of the que...
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IPC IPC(8): G06F16/2453G06F16/2455
CPCG06F16/24532G06F16/24553
Inventor 蒋烈辉唐永鹤何红旗董卫宇侯一凡王瑞敏苏童朱晓东苗新亮
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU