Diaflow Table

Diaflow Table allows users to querying data, adding new data and updating existing data.

Description

Diaflow Table provides users with powerful capabilities to interact with their data seamlessly. Users can perform complex queries to extract meaningful insights and relevant information from large datasets. Additionally, Diaflow Table allows users to easily add new data, expanding their datasets as needed. Updating existing data is also straightforward, enabling users to keep their information current and accurate. This versatile tool ensures efficient data management and enhances the user's ability to work with their data effectively.

The Diaflow Table component has the identifier of ddb-X, where X represents the instance number of the Diaflow Table component.

Component settings

Parameter Name	Description
Action	The action to be performed on the table. There are 3 possibilities. Query data from table Add data to table Update record
Table	The target table.
SQL Generate Method	Method used to generate the SQL query. There are 2 possibilities. Use AI Manually enter SQL
Input	The content or data that will be used to interact with the table.

Advanced configurations

Options	Description
Enable caching	This option determines whether the results of the component are cached. This means that on the next run of the Flow, Diaflow will utilize the previous computed component output, as long as the inputs have not changed.
Caching time	Only applicable if the "Enable Caching" option has been enabled. This parameter controls how long Diaflow will wait before automatically clearing the cache.

Use case

Here is a simple use case of the Diaflow Table component, where the Diaflow Table component is used to count the number of rows in the input table.