A method for storing device port state data in memory

Abstract

The invention discloses a method for storing specific equipment port state data in a memory. A step of starting a memory state data service comprises the following steps: applying for two cache assemblies, wherein each cache assembly comprises an equipment Hash list cache, an equipment information cache, a port information cache and a state data cache; storing the equipment state data of a previous storage period in the first cache assembly, and storing the equipment state data of a current storage period in the rear cache assembly; connecting with a database, and generating an equipment collection granularity cache; periodically reading a collected task list, and updating the equipment collection granularity cache; at the end of each storage period, switching data in the two cache assemblies, and clearing data in the second cache assembly after the data is switched; reading the equipment state data from the start time of the previous storage period to current time in an equipment state data table, and storing the equipment state data into the cache; and starting HTTP (Hyper Text Transport Protocol) monitoring service, and waiting to receive and process a remote data query and data update request. By use of the method, the self-adaption of the occupation of a memory size can be realized, and memory waste is avoided.

Description

technical field [0001] The invention relates to a method for storing device port state data in memory. In particular, it relates to a method for memory storage device port status data supporting fast query status data. Background technique [0002] Today's informatization has entered the era of big data, network services are becoming more and more abundant, network speed has been greatly improved, network business, office, etc. are extremely convenient, and people rely on the Internet for more and more activities. With the rapid increase of network traffic, the processing and storage of network device data is particularly important. [0003] For the amount of data at the terabyte level, conventional relational databases can also store it well. In the case of infrequent updates, the query speed of conventional relational databases is also very good. [0004] However, for the huge amount of data, the update storage of hundreds of millions of data every day, and the requirem...

AI Technical Summary

Problems solved by technology

[0006] Although some NoSQL databases can store and query data very well, but the data structure is relatively simple, and can only support simple key=value character storage

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