Cache refreshing method and device

Abstract

The invention relates to the field of finance science and technology, and discloses a cache refreshing method and device, which are suitable for each service node of the same application service in a distributed system, the service node determines whether a database is updated relative to a local cache based on a cache refreshing pre-check thread at a first set time, and after determining that the database is updated, records the first set time in a cache refresh time record; the service node updates the local cache according to the database after determining that the difference value between the first set time and the second set time in the cache refresh time record is smaller than the first set threshold value based on the cache refresh thread at the second set time; wherein the second set time is after the first set time. Through the mode, the consistency of the data of the local caches of the service nodes forming the same application service in the distributed system from beginning to end can be realized.

Description

technical field [0001] The embodiments of the present application relate to the field of financial technology (Fintech), and in particular, to a cache refreshing method and device. Background technique [0002] With the development of computer technology, more and more technologies (such as big data, cloud computing or blockchain) are applied in the financial field, and the traditional financial industry is gradually transforming into financial technology. For the massive transaction data generated in the financial field, it can be stored through the database. When the transaction is processed through the distributed system, the data in the database can be refreshed to the local cache of each service node through the cache refresh technology, which can greatly improve the service response speed and system throughput. However, the current cache refresh is completed through periodic asynchronous processing tasks, obviously it is impossible to realize that each service node pe...

AI Technical Summary

Problems solved by technology

However, the current cache refresh is completed through periodic asynchronous processing tasks, obviously it is impossible to realize that each service node performs cache refresh synchronously at the same time point; It will make it difficult for the local caches of multiple service nodes where the same application service is deployed to maintain data consistency. However, the reality is that when the same application service is deployed on multiple service nodes, the multiple service nodes need to follow the same The performance of external services, that is, when the JVM-level cache data of each service node is refreshed, the consistency of the data needs to be ensured to ensure that after the transaction request enters the distributed system and is routed to any service node, it can have the same process result

[0003] For the problem that the cache refresh technology described above cannot ensure the consistency of the local cache data of each service node, it can be solved by adjusting the timing to trigger the cache refresh; however, the timing trigger still cannot solve the problem caused by updating the database at the critical point of the cache refresh. JVM (Java Virtual Machine, Java Virtual Machine) cache data inconsistency and dysfunctional problems in nodes

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