An analytical store is low-cost storage engine designed and optimized by Tablestore for time series scenarios, primarily used for long-term storage and analysis of time series data. This topic describes how to use time series analytical stores with Tablestore SDK for Java.
Operation | Description |
You can create an analytical store for an existing time series table. | |
You can update the time to live (TTL) configuration of a time series analytical store. After the TTL of an analytical store is updated, Tablestore automatically deletes data whose retention period exceeds the TTL value from the analytical store in an asynchronous manner. | |
You can query information of an analytical store, including time to live (TTL) configuration, data synchronization options, data synchronization status, and data storage usage. | |
You can delete an analytical store that is created for a time series table. |