Use the TimeSeries model by using Tablestore SDK for Python - Tablestore

This topic describes features of the TimeSeries model supported by Tablestore SDK for Python.

Usage notes

Features of the TimeSeries model are supported by Tablestore SDK for Python V6.1.0 and later. To use features of the TimeSeries model, make sure that you use a correct version of Tablestore SDK for Python.

Note

For more information, see Version history of Tablestore SDK for Python.

Operations on time series tables

The following table describes the operations that you can perform on time series tables by using Tablestore SDK for Python.

Operation	Description
Create a time series table	You can create a time series table.
Update a time series table	You can update a time series table or time series metadata configurations.
List time series tables	You can query the names and configuration information of all time series tables in an instance.
Query information of a time series table	You can query information of a time series table, such as the time to live (TTL) configuration.
Delete a time series table	You can delete a time series table.

Time series operations

The following table describes the operations that you can perform on time series by using Tablestore SDK for Python.

Feature	Description
Retrieve time series	You can retrieve time series information based on the specified conditions, such as metric name and data source information.
Update time series	You can update time series metadata of multiple time series at the same time.
Delete time series	You can delete time series metadata of multiple time series at the same time.

Operations on time series data

The following table describes the operations that you can perform on time series table data by using Tablestore SDK for Python.

Operation	Description
Write time series data	You can write multiple rows of time series data to a time series table at the same time.
Query time series data	You can query time series data that meets the specified conditions in a time series.