The Bold BI Dashboard Designer supports connecting the multiple database by Google Cloud SQL using the SQL Live Query (C# API).
To configure the Google Cloud SQL data source, follow these steps:
Click Data Sources in the configuration panel to add a new data connection.
Click CREATE NEW to launch a new connection from the connection panel.
Select the Google Cloud SQL connection in the connection panel.
NOTE: You can also create a data source from the home page by clicking the Data Sources menu from left menu panel and Create Data Source from the data sources page.
After clicking the data source, the NEW DATA SOURCE configuration panel opens. Follow the given steps to create a Google Cloud SQL data source:
Google Cloud SQL supported database engine in Bold Bi:
* MySQL
* PostgreSQL
There are two connection types available in a data source:
* Live mode
* Extract mode
In this connection type, a data source is directly fetched from source. Choose the Live mode option for this connection.
Click Connect to connect the Google Cloud SQL server with configured details. The schema represents the collection list retrieved from the Google Cloud SQL server. This dialog displays a list of schemas in treeview and their corresponding values.
Now, the data design view page with the selected table schema opens. Drag the table.
You can use the Code View option for passing a query to display data.
Click Save to save the data source with a relevant name.
In this connection type, a data source is fetched from source periodically. Choose the Extract mode option for this connection.
Click Refresh Settings in the configuration panel.
Select the recurrence type, recurrence start, and end dates in the Refresh Setting dialog box.
Click Connect to connect the Google Cloud SQL server with configured details.
The Choose Table(s) dialog opens. This dialog displays a list of tables and views in treeview. Select the required table(s) or view(s) from treeview to use it in the designer. The option is available for configuring incremental refresh column (The table must have a primary key column and date column to configure this option) for the selected items in the right-side panel. If you configure it, then the data source will work on Incremental update, otherwise it will work on Full load concept. Finally, click Connect.
Now, the data design view page with the selected table schema opens. Drag the table.
You can use the Code View option for passing query to display data.
Click Save to save the data source with a relevant name.
NOTE: In future, you can edit the connection information for both live and extract mode connections using the Edit Connection option.