The TimeSeries model is designed based on the characteristics of time series data. This model is suitable for scenarios, such as IoT device monitoring, and can be used to store the data that is collected by devices and the monitoring data of machines. The TimeSeries model uses time series tables to store time series data. This allows applications to write and read petabytes of data concurrently and reduces the storage costs. This topic describes the features of the TimeSeries model supported by the Tablestore CLI
Features
The following table describes the features of the TimeSeries model supported by the Tablestore CLI
Feature | Description |
You can perform operations on time series tables. For example, you can create a table, use a table, query the names of tables, and delete a table. | |
You can perform basic read and write operations on time series data. For example, you can write, import, and query time series data, and retrieve time series. | |
You can execute SQL statements to perform operations related to data query. For example, you can execute SQL statements to enter the SQL mode, query mapping tables, and query data. |