InfluxDB data backup method, InfluxDB data backup system and terminal equipment

Abstract

The invention provides an InfluxDB data backup method, an InfluxDB data backup device and terminal equipment. The InfluxDB data backup method comprises the following steps: receiving an external instruction and loading initialization configuration information; pulling resources from a resource library by using the initialization configuration information, judging the occupancy rate of the resources in the resource library, and issuing an execution instruction to a read operation module and a write operation module in combination with the initialization configuration information; enabling a read operation module to initiate a data backup request to the InfluxDB, and pull backup data corresponding to the backup request from the InfluxDB; and enabling a write operation module to write execution information formed by the backup data into a database in the form of a log file. In the present application, the resource occupancy rate in a resource library is judged, and a backup information table and a backup process table are combined; according to the method, the operation granularity of data backup is remarkably reduced, the risk of competing for various resources supporting InfluxDB operation in the backup operation process of the time series data in the InfluxBD is reduced, and unreasonable occupation of the resources is reduced.

Description

technical field [0001] The invention relates to the technical field of databases, in particular to an InfluxDB data backup method, system and terminal equipment. Background technique [0002] InfluxDB is an open source time-series database developed using the GO language. It is especially suitable for processing and analyzing time-series data of resource monitoring data types. InfluxDB comes with various special functions such as standard deviation, random sampling data, and statistical data change ratio. etc., which makes the statistics and real-time analysis of time series data very convenient. More and more users use InfluxDB to store time-series data. Since different users have different needs for processing, backup and migration of time-series data, higher requirements are put forward for the backup operation of time-series data stored in InfluxDB. . [0003] Since InfluxDB is a time-series database with high consumption of memory and CPU resources, when business syst...

AI Technical Summary

Problems solved by technology

There is massive data transmission between the business system and InfluxDB, resulting in a huge load on the background server, which seriously consumes the resource consumption of the background server that configures the InfluxDB, and may have a huge impact on the stability of the business system

[0004] Currently, the smallest unit of data backup performed by InfluxDB is a single InfluxDB database, so the operation granularity of data backup is too large, and filter backup cannot be performed for a specific resource table

At the same time, during the backup process, there are no reasonable restrictions on the various resources or resource combinations required for read and write operations, which leads to the robbing of resources during the data backup process of InfluxDB, thus affecting the normal operation of other components of InfluxDB

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