Data storage method and device
A data storage and data technology, applied in database indexing, electronic digital data processing, structured data retrieval, etc., can solve problems such as insufficient database performance, achieve the effects of simplifying component design and implementation, reducing computing time, and optimizing performance
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Embodiment 1
[0066] In order to solve the technical problems of the existing HTAP technical solution being blunt and unsatisfactory in performance, an embodiment of the present invention proposes a data storage method, which can automatically select a storage structure to improve database performance. The data storage method uses artificial intelligence technology to achieve the improvement of database performance in HTAP tasks by dynamically selecting the storage structure, and on this basis, an autonomous database system without human intervention is designed. Compared with the existing autonomous database system, this data storage method proposes a new design direction—storage structure design. This design direction can further strengthen the design space of the autonomous database, and can further improve the performance of the existing autonomous database. .
[0067] Such as figure 1 As shown, a data storage method provided by an embodiment of the present invention includes the follo...
Embodiment 2
[0093] Such as figure 2 As shown, the second embodiment is basically the same as the first embodiment, and the similarities will not be repeated. The difference lies in:
[0094] When applying a data storage method in the embodiment of the present invention, it can be divided into two parts. The first part is to obtain the performance model of the storage structure in different data characteristics under the current environment. The content of this part is only for the first time. It runs once when the database is running; the second part is the automatic generation of the optimal storage structure, which runs regularly and once for each partition of each data table. Partitioning reduces the amount of data required for sampling, improves the parallelism of design tasks, and can also adapt to query loads that are not evenly distributed on the data, because in this case each partition may have a different optimal storage structure.
[0095] When implementing the data storage m...
Embodiment 3
[0117] Such as Figure 5 As shown, a data storage device 5 according to an embodiment of the present invention includes: a testing module 51 , a selection module 52 , a calculation module 53 and a replacement module 54 .
[0118] in,
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