Configuring Database connectors - Big Query

Studio enables you to use the database connectors to connect to your relational databases like MySQL, Big Query and Microsoft SQL, MongoDB, and so on.

Let us now understand how to use the BigQuery connector. BigQuery is a fully managed enterprise data warehouse that enables high-speed SQL querying.

Configuring Big Query Connector

To add third party DB connectors, under Studio > Connectors, click (+) Connector.

You need to first configure the BigQuery with the necessary domain details and the database name. To configure the connector, enter a Category name and Category description. Add an appropriate icon and click Continue.

The most important part of the process is to provide the Connection strings.

You can specify the environment to be used for your SQL operations. If you simply want to test your app before making it ready for production you can set the environment to Dev or Beta depending upon your test scenario and connect your Dev database. Whenever your app is ready for production, and you want to publish and distribute the package, you can connect your Prod database and simply update the environment to Prod for the connectors added in your App. Here, the basic assumption is your Dev, Beta, and Prod environment databases have the same schema, only the data is different so it will work seamlessly.

You can add them as a Connection String or may provide the respective connection parameters required, namely Authentication, Private Key, and Database name. You can also enable further action to Whitelisting IP.

Once these configurations are done, you need to Test the request and connection. If the authentication is successful you would get the response accordingly. You can now click Continue to Finish and Save your configuration.

Adding queries to the connector

Now that you have configured the connector you will find it under the Custom Database connectors list. Now to fetch data or undertake any other action, click the Add query option available once your connection is ready.

Here you can add your queries - simple as well as complex ones. To the right-hand side of the screen, you can see the list of tables from the database. You can expand the tables to view the fields from the table.

You can provide a name to the query using Enter a Service name. Add your query and click Run or press Ctrl + enter to run the query. The rows returned from the table are shown in the Response section.

You can also add dynamic values using the Variables. To add the variable, click Variables > +Add. Add the FieldName and select the Field type. Ensure that you select the field type that matches the column type of the table so that the query works correctly. Add a Test Value to check the results before saving. You can also add a Default value or make it Mandatory. Add the Help text that would be shown with the field. You can also add any preset formula. Once you have entered the details, click Add Variable. The variable would be listed under Variables. You can make use of the variable in the query where you created the variable.

To use a variable inside a query, you simply need to put it into double Curly brackets. The Test value that you entered would be considered for fetching data.

You can now view the queries that you saved for use in your apps later under your specific connector under Custom Database connectors.

Using BigQuery connector

Fetch all rows and apply pagination

Now consider an example where we want to find the author names from the table. Let us first fetch data and apply pagination using the BigQuery Connector. So click Add Query to go to the Query Editor. Here you would add the query with the OFFSET clause. In BigQuery it is important to have an OFFSET to enable the pagination feature.

Run the query to view the results. You can add a dynamic variable if you want to define the OFFSET clause value to specify the number of rows for pagination. Save the query. Your connector is now configured.

Now whenever you want to make use of these Database connectors in your Apps, under Studio Builder, click Connectors > + Add. Select your ready connector and click Continue. Now from the connector select the query for pagination and click Continue. Connect your authenticated account. Based on the query selected, you would have the connector fields that would be used in the BINDAPI formula. Add the connector name and other details and click Finish.

In this example form, to bind the fetched data to the Tablegrid control need to use BINDAPI formula either by adding it to the Custom Formula or through Data > Connectors > Dropdown selection (API name and keys) as shown below.

Using the DB Connector for BigQuery is similar to any other SQLs like PostgreSQL, MySQL and so on. You can make use of the Queries to fetch data as well bind data such that you can undertake the insert, update, delete actions as well. You need to ensure the syntax which would vary a bit for different SQL systems.