A storage method and device for json data

Abstract

The invention relates to the data storage technology, in particular to a storage method and device of Json data. The storage method and device is used for realizing the successful storage of the Json data in an environment that memory is insufficient. The method comprises the following steps: a Json data table is subjected to segmentation processing, Json data information obtained by segmentation and corresponding Json abstract information are mutually associated through relational index information, a relation chain is formed, the data is mapped to an appointed storage area via a memory exchange area, so that more data nodes can be processed under the environment that the memory is insufficient, a Json table which occupies more memory saves the idle memory and does not increase system operating load, and dependency on the memory by a code operating period is reduced.

Description

Technical field [0001] This application relates to data storage technology, in particular to a method and device for storing Json data. Background technique [0002] This application relates to the field of application processing, and in particular to a method and system for storing a configuration or data summary with a large amount of information based on Json in an embedded system with relatively tight memory. [0003] Under the existing technology, Json has been widely used as a data storage structure. Json is a more flexible and intuitive data storage structure. It has good compatibility and scalability, and is very suitable as a client and device Interaction carrier between terminals. [0004] Json stores data in the form of strings, and adds descriptions to the stored data, which is very intuitive in the equipment development and debugging stages. Specifically, Json data usually exists in the form of a data table. The Json data table mainly has two attribute values, key and ...

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Problems solved by technology

[0005] Obviously, data storage with Json structure requires a large number of nodes to be configured, which will take up a large amount of memory, making the memory resources of embedded systems with relatively small memory more compact; on the other hand, Json data tables have strong Scalability, operations such as adding and modifying can be performed at any time, but adding, deleting, and searching large-scale Json tables will only involve changes in data in a small area. If the entire Json table resides in memory for a long time, it will cause a lot of waste of memory

[0006] The existing Json modularization technology is mostly applied on the front-end web or platforms with sufficient memory, and the parsing of module data depends on functional modules, which is not suitable for embedded system application scenarios and is not conducive to cross-platform use; in addition, the existing The Json modularization technology requires that the data in the module must be a complete Json table, which is not suitable for the storage and processing of Json tables containing a large number of nodes

[0007] Therefore, in order to realize the storage of Json data in the embedded system, and also to be compatible with the defect that Json data consumes too much memory, it is necessary to improve the storage mechanism of Json data to ensure that Json data will not be expanded due to node expansion during operation. lead to unlimited memory growth

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