Determinant Text Storage Method for Graph Database Compression
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Solution Overview
Problem
Existing methods for storing determinant texts in graph databases face issues of insufficient compression ratios and low retrieval efficiency, with sequential storage resulting in redundant fields and prolonged retrieval durations.
Innovation Solution
A method that involves obtaining a determinant text with multiple fields, identifying valid fields, querying a field type table to generate a data description field, and determining a value storage field based on the field contents and type table, thereby separating the data into a data description field and a value storage field for improved compression and retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the determinant text is converted into data in a json form for storage, then the data can be stored in a structured format, but the data expands tremendously and the retrieval duration is long
Solution Approach 1:
The patent segments the determinant text data into two distinct fields: a data description field that stores field names and types, and a value storage field that stores actual data values. This segmentation allows the system to separate metadata from data content, enabling more efficient storage and retrieval operations while maintaining structured organization.
Solution Approach 2:
The patent extracts and removes redundant information from the storage process. By using a field type table to define data structures once, the system eliminates the need to repeatedly store field metadata with each data record, thereby reducing overall storage size while maintaining structured organization.
2Ease of manufacture
If the determinant text is stored sequentially, then the storage process is simple, but the compression ratios are insufficient and there are too many redundant fields
Solution Approach 1:
The patent creates a universal field type table that defines data structures once and can be applied to multiple determinant text records. This multi-functional approach allows the same schema to organize diverse data while eliminating redundant field definitions, achieving both storage simplicity and space efficiency.
Solution Approach 2:
The patent changes the organizational parameters of data storage by transitioning from flat sequential storage to a two-field structure with explicit type definitions. This parameter change enables the system to achieve better compression ratios by eliminating redundant field information while maintaining ease of storage through standardized schemas.
3Reliability
If the determinant text is stored with all fields including redundant ones, then no data is lost, but the retrieval efficiency is low
Solution Approach 1:
The patent performs preliminary organization of data fields by defining a field type table that specifies which fields are valid and their data types. This preliminary action enables the system to store only necessary data with proper type annotations, ensuring data completeness while facilitating faster retrieval through structured organization.
Data Source
AI summary
A method for storing a determinant text, an electronic device, and a computer-readable storage medium is disclosed. The method includes: obtaining a determinant text that is to be stored, the determinant text including a plurality of fields; obtaining valid fields from the plurality of fields; querying a field type table according to the valid fields to generate a data description field of the determinant text; determining a value storage field of the determinant text according to contents of the plurality of fields and the field type table; and storing the data description field and the value storage field to store the determinant text.