Byte-Sequence Data Storage for Compact JSON Decoding
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Solution Overview
Problem
Current data storage methods in different data tables lead to increased maintenance workloads and inefficient storage and decoding of serialized JSON data, causing storage waste and poor decoding efficiency.
Innovation Solution
A data storage system that stores data as a byte sequence with a first section containing label items and a second section for data, using a maptree structure to organize field identifiers and position labels, enabling efficient encoding and decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data of different structures are stored in different data tables, then data structure flexibility is improved, but maintenance workload increases and scalability deteriorates
Solution Approach 1:
The patent merges data of different structures into a unified data table, eliminating the need for multiple separate tables. This consolidation reduces maintenance complexity while preserving structural flexibility through a standardized storage format that can accommodate diverse data types.
Solution Approach 2:
The patent creates a universal data storage solution that can handle multiple data structures within a single table. The standardized format serves multiple functions by accommodating different data types and structures without requiring separate storage mechanisms, thereby improving scalability and reducing maintenance overhead.
2Ease of operation
If serialized JSON data is stored uniformly in a data table, then storage simplicity is improved, but storage space increases and decoding efficiency deteriorates
Solution Approach 1:
The patent segments the data storage into distinct components: a standardized header section containing metadata and a body section containing the actual data. This segmentation allows for more efficient storage by eliminating redundant elements in serialized JSON while maintaining simplicity through a structured format that is easier to parse and decode.
3Ease of operation
If serialized JSON data is stored uniformly in a data table, then storage simplicity is improved, but decoding efficiency deteriorates
Solution Approach 1:
The patent performs preliminary organization of data into a standardized format with predefined headers and structured sections before storage. This preliminary action includes adding metadata, organizing fields, and establishing a consistent structure that enables faster decoding and querying operations, thereby improving productivity without sacrificing storage simplicity.
Data Source
AI summary
The present disclosure may provide systems and methods for data storage. The systems may store data of one or more fields as a byte sequence. The byte sequence may include a first section and a second section. The second section may be configured to store the data of the one or more fields. The first section may be configured to store one or more label items corresponding to the one or more fields. For one of the one or more label items and a corresponding field, the label item may include a field label of the corresponding field and a position label of the corresponding field. The position label of the corresponding field may be configured to identify a position where data of the corresponding field is stored in the second section.