Graph class data storage method and system

Abstract

The invention relates to a map data storage method and system. The method comprises the following steps: acquiring a uniform resource mark of a corresponding electric power system resource, a measured value ID and a data information amount value according to received map data; acquiring data characteristic information of the map data according to a pre-set power grid model library, the uniform resource mark of the electric power system resource, the measured value ID and the data information amount value; acquiring the uniform resource mark of the map data, and combining the uniform resource mark of the map data and the data characteristic information to form a logic central point file, and storing the logic central point file in a named node of a distributed type file system; and storing the map data into a data node of the distributed type file system. When a user accesses the map data, a resource list of the named node is inquired according to the data characteristic information or the uniform resource mark of the map data, and the corresponding map data is rapidly searched and does not need to be analyzed; and the method and system also can be used for rapidly searching the map data independently, and the data accessing efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a method and system for storing map-like data. Background technique [0002] When data is stored, it usually needs to be classified and stored according to the type of data. For example, the data types of power grid data include power grid model data, operation data, operation data, etc. The data center system of the power grid big data platform stores slowly changing structured data such as power grid models in relational databases, and stores measured real-time, historical data in time-series databases. Unstructured data in binary form such as value data and graphs stored in a distributed file system. Data stored in relational databases and time-series databases can provide coarse and fine-grained data query services by the database, but the graph data itself needs to be parsed by specialized software, and the feature information contained in the file name is l...

AI Technical Summary

Problems solved by technology

[0004] However, the traditional atlas data storage method cannot directly support the query of atlas data. It can only judge the generation time of atlas data according to the time of the file to determine the range of atlas data to be processed. Further information can only be obtained after parsing the file with special software. Therefore, the efficiency of client access to graph data is low

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