ES service-based electronic certificate application method

Abstract

The invention provides an ES service-based electronic certificate application method, and belongs to the technical field of retrieval and query. According to the invention, data characteristics and business scenes of an electronic certificate are analyzed based on national standard specifications related to the electronic certificate by starting from practical application of the electronic certificate, and according to subsequent application characteristics of electronic certificate data of each part, the electronic certificate data fields are split, the data structure stored in the ES is designed in a flattening mode, storage of the electronic certificate in the ES is achieved, and rapid query and real-time statistics of the electronic certificate are achieved on the basis of the characteristic that the ES is rapidly queried under the large data volume.

Description

technical field [0001] The invention relates to retrieval and query technology, in particular to an electronic license application method relying on ES services. Background technique [0002] The release of 6 national standards for electronic certificates including "GB / T 36901-2018 Overall Technical Architecture of Electronic Certificates" defines the meaning of electronic certificates, the basic structure of electronic certificate system construction, and the data format standards for electronic information items. The construction of the library provides guidance and reference. [0003] In addition, "C 0126-2018 National Government Service Platform Data Exchange and Sharing Interface Standard" and other national government service platform access specifications provide a standard basis for the cross-level data exchange of electronic certificates and certificates, and provide data for cross-departmental and cross-regional electronic certificates. Shared applications provide...

AI Technical Summary

Problems solved by technology

In the mode of single database and single table, when the amount of data reaches a certain threshold, the data capacity will gradually decrease; secondly, when a single record has large data, the same storage space can only store relatively few rows, which will cause additional I / O overhead reduces data storage performance; in the sub-database and sub-table mode, the above-mentioned single-table pressure can be resolved, but for the statistics of each dimension of aggregated data, there is a need to traverse all involved sub-tables, statistical difficulty, and statistical There are bottlenecks in performance and real-time performance, which is not conducive to business applications under large data volumes

[0006] In summary, the storage model of single database and single table and the model of sub-database and sub-table have statistical performance and real-time problems. Larger, this performance problem becomes more obvious

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