Method, device and system for storing time sequence data

Abstract

The invention provides a method for storing time sequence data. The method comprises the steps that the time sequence data is received, and the corresponding time sequence data in a receiving buffer in a memory is aggregated and updated according to property information of the time sequence data and preset aggregation rules; the time sequence data stored in the receiving buffer is sent to an archiving buffer in the memory; the corresponding time sequence data in the archiving buffer is aggregated to form to-be-stored time sequence data according to the aggregation rules and the relation between current time and time corresponding to time feature values of all archiving time periods determined according to the requirement of archiving precision, and the to-be-stored time sequence data is stored into the archiving buffer; and the to-be-stored time sequence data is stored into a nonvolatile medium. In this way, quick real-time aggregation and real-time multi-precision archiving and storage of the time sequence data can be realized, and the effect of meeting the demand of application programs for multi-precision query subsequently is achieved.

Description

technical field [0001] This application relates to a method for storing data, in particular to a method and device for storing time-series data, a method and device for aggregating time-series data, and a method and device for archiving and storing time-series data. It relates to a system for storing time series data. Background technique [0002] In addition to the function of archiving and storing data, the large-scale data system also provides the query function of the historical data stored in the archive. Various indicator data. These indicator data are periodically generated for monitoring objects and belong to time series data. The data system will archive and store these time series data generated by the monitoring system, and provide the system maintenance personnel or users with the function of querying these data. [0003] When archiving and storing existing data systems, the original time series data is usually stored or used to calculate and store time series...

AI Technical Summary

Problems solved by technology

Therefore, the existing data system can only provide a single-precision historical data query function

[0004] However, for the query of historical data, in many cases, it is necessary to query data with more than one precision. For example, for the query of historical data with a large time span, the accuracy of the required data may be lower. For historical data with a short time span For queries, the accuracy of the required data may be higher, and for the current and recent data, the accuracy of the data required for the query is the highest

[0005] In addition, single-precision data storage may have negative effects due to different query time spans. For example, for high-precision stored data, if the query time span is long, the response speed will be slow due to the large amount of data to be provided. problems; for low-precision stored data, the query time span is short, and the data cannot reflect the real situation due to the small amount of data that can be provided

[0006] It can be seen that the single-precision storage and query methods of time series data in existing data systems cannot meet the needs of multi-precision queries

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