Data processing method and device for time series database cluster

Abstract

The present invention provides a data processing method and device for a time-series database cluster, wherein the method includes: acquiring data to be stored; judging whether the stored data volume of the data block currently corresponding to the data to be stored is less than the preset stored data volume , if so, store the data to be stored in its current corresponding data block; otherwise, store the data to be stored in a new data block, and the current stored data volume of the new data block is less than the preset stored data volume; The storage information of the data to be stored is stored to the management nodes in the management node group, wherein the management node group is a peer-to-peer computer network composed of a plurality of management nodes. Using the method provided by the embodiment of the present invention, the storage information of the data in each data block is stored in the management node group with a peer-to-peer network structure. When faced with a large number of data requests, multiple management nodes in the management node group Both can be used to respond to requests, thereby improving the data response speed.

Description

technical field [0001] The invention relates to the field of databases, in particular to a data processing method and device for time series database clusters. Background technique [0002] The full name of time series database is time series database. Time series databases are mainly used to process data with time tags (changes in the order of time, that is, time serialization). Data with time tags is also called time series data. [0003] Time series data is mainly collected and generated by various types of real-time monitoring, inspection and analysis equipment in the power industry and chemical industry. The frequency of data generation is fast and the amount of data is large. It is difficult for one server to meet the needs of data storage. Therefore, clusters are usually used to solve the storage needs of large amounts of data, and a management node is used to manage the cluster and record the storage location of the data. [0004] However, in practical applications...

AI Technical Summary

Problems solved by technology

[0004] However, in practical applications, once the management node fails, it will cause a single point of failure, resulting in users being unable to query data

In addition, when there are frequent query requests, it will also put pressure on the management node, resulting in slower data query speed and unable to respond in time

Images