Data compression method, data reading method, device, storage medium, and program product
By identifying the common address attribute information of data objects in the SSD mapping table and using a compression strategy to compress the address field, the problem of excessive memory consumption by the SSD mapping table is solved, thereby improving the stability of the storage system and the data access speed.
CN122173012APending Publication Date: 2026-06-09CLOUD INTELLIGENCE ASSETS HOLDING (SINGAPORE) PTE LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CLOUD INTELLIGENCE ASSETS HOLDING (SINGAPORE) PTE LTD
- Filing Date
- 2024-12-06
- Publication Date
- 2026-06-09
AI Technical Summary
Technical Problem
SSD mapping tables consume a lot of memory, leading to reduced storage system stability. How can we reduce the memory usage of SSD mapping tables?
Method used
By identifying the shared address attribute information between data objects in the address mapping table, a compression strategy is determined, and the address field is compressed to reduce the storage space occupied by index entries.
Benefits of technology
This reduces the storage space occupied by the address mapping table, improves data access speed and storage system stability.
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Figure CN122173012A_ABST
Abstract
Embodiments of the present application provide a data compression method and a data reading method, a device, a storage medium and a program product. In the embodiments of the present application, for each index entry in an address mapping table, common address attribute information between data objects stored by each index entry is identified, compression strategy information for the address mapping table is determined based on the identified common address attribute information, for a plurality of address fields included in the index entry in the address mapping table, a compression manner in the compression strategy information is used to perform data compression on a corresponding address field included in the index entry, thereby reducing the storage space occupancy of the index entry, and thus reducing the storage space occupancy of the entire address mapping table and saving storage space. Further, by compressing the address mapping table through the common address attribute information, a target compression manner can be accurately determined for compressing a target address field in the index entry, thereby reasonably reducing the memory occupancy of the index entry.
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