Time series data storage method and time series database applied to industrial internet of things
An industrial Internet of Things, time series data technology, applied in the database field, can solve the problems of increased data processing complexity and data redundancy, increased deployment and operation and maintenance difficulty, data synchronization, and increased output process, so as to reduce the deployment and operation and maintenance difficulty. , the effect of reducing the complexity of data processing and the degree of data redundancy
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[0013] In order to make the purpose, technical solutions, and advantages of the embodiments of the present application clearer, the embodiments of the present application will be further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments of the application and their descriptions are used to explain the application, but not to limit the application.
[0014] Time series databases have the following characteristics:
[0015] 1. When data is written, high concurrency and continuous writing, after writing, the data is read-only and cannot be modified;
[0016] 2. When data is stored, it is stored in different regions on the disk according to the measurement, data timestamp (timestamp) and data statistical dimension (tag);
[0017] 3. When reading data, it generally queries and counts in batches based on dimensions and time periods, and rarely retrieves a single record.
[0018] The data set of the IIOT scene has the following...
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