Resource data storage and query method and device

Abstract

The embodiment of the invention provides a resource data storage and query method and device, and the method comprises the steps: obtaining a resource storage request sent by a target data source, and the resource storage request comprises the source identification information of the target data source and to-be-stored resource data; obtaining data attribute information of the to-be-stored resource data, and constructing a data type identifier corresponding to the to-be-stored resource data according to the source identifier information and the data attribute information; and storing the to-be-stored resource data and the data type identifier in a preset resource database in a corresponding storage mode. The complexity of resource data storage is reduced, and the development, update and maintenance cost of a resource data storage system is reduced.

Description

technical field [0001] The embodiments of this specification relate to the field of data storage and query, and in particular to a resource data storage and query method. Background technique [0002] With the development of database storage and query technology, data query in massive databases has become more and more common. Therefore, higher requirements are put forward for the efficiency and accuracy of data query in different scenarios, such as querying data from massive databases. In terms of data, because the amount of data in the database is too large and there are many data types, it is becoming more and more difficult to accurately query the required data. [0003] In response to the above situation, the complexity of more accurate data query methods is also increasing, resulting in insufficient data query efficiency and higher requirements for the computing power of hardware devices. Under the computing power conditions of existing hardware devices, how to make da...

AI Technical Summary

Problems solved by technology

[0002] With the development of database storage and query technology, data query in massive databases has become more and more common. Therefore, higher requirements are put forward for the efficiency and accuracy of data query in different scenarios, such as querying data from massive databases. In terms of data, because the amount of data in the database is too large and there are many data types, it is becoming more and more difficult to accurately query the required data

[0003] In response to the above situation, the complexity of more accurate data query methods is also increasing, resulting in insufficient data query efficiency and higher requirements for the computing power of hardware devices. Under the computing power conditions of existing hardware devices, how to make data It is an urgent problem to be solved that the query meets the precise application requirements and the efficient application requirements

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