Memory data persistence method and device, storage medium and computer equipment

Abstract

The invention discloses a memory data persistence method and device, a storage medium and computer equipment, and the method comprises the steps: obtaining a business data persistence mode corresponding to target time, wherein the business data persistence mode is matched with the business data features of historical reference time corresponding to the target time; and performing persistence processing on the memory data corresponding to the target time based on the service data persistence mode to obtain a persistence data file. According to the invention, statistical analysis is carried out on the data characteristics of the business data of the historical reference time, so that the business data persistence mode matched with the target time is determined; the problems that a persistence mode needs to be determined manually, a theoretical basis is lacked, and the persistence mode is not matched with service data characteristics, so that service data is lost, and a persistence data file is too large are solved. The invention also relates to a blockchain technology, and the business data features are stored in the blockchain.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a memory data persistence method and device, storage medium, and computer equipment. Background technique [0002] With the rapid development of Internet technology, the complexity and intensity of data processing has increased sharply, which has doubled the amount of data processing, and therefore puts forward higher requirements for data processing speed. At present, the Redis database is usually used to improve the data processing efficiency. By storing the data in the memory and storing the processing results in the disk after the processing is completed, the frequent I / O operations between the memory and the disk in the data interaction process are reduced. The data processing efficiency is greatly improved. [0003] Since Redis is an in-memory database, the data in the memory is stored temporarily. When a failure occurs, it is easy to cause data loss. Ther...

AI Technical Summary

Problems solved by technology

RDB snapshots save the data in the memory to the disk periodically. However, because the data is saved periodically, once a failure occurs, all the data from the last data save to the failure will be lost. You can see the RDB snapshot It cannot guarantee the security of data very well, and there is still a risk of losing some data

Incremental file AOF is to save each write operation of the Redis database to an AOF file. Since each write operation is saved in the AOF file, the security of the data can be well ensured. However, the AOF file is continuously accumulated The write operation of the Redis database, as time goes by, the AOF file will become larger and larger, taking up a lot of storage space

[0004] However, in the prior art, only one of the persistence strategies can be specified by the technician for data persistence

This leads to the loss of important data of a time node if the database fails when using the RBD strategy

When using the AOF strategy, if the data set in the database is too large, the generated file will be too large, occupy a large storage space, and take a long time to restore

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