Configuring Database connectors - Athena

Studio enables you to use the database connectors to connect to your relational databases as well as cloud based services like MySQL, PostgreSQL and Microsoft SQL, MongoDB, Athena AWS, Amazon Redshift and so on.

Let us now understand how to use the Athena connector. Athena AWS is basically an interactive query service with a Schema that makes it easy to start querying using the standard queries easy and fast.

Configuring Athena connector

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

You need to first configure the Athena Connector 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 would now need to add the Connection string fields required for establishing a database connection. These are non-editable fields, you cannot add or remove these fields.

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 the Connection String or may provide the respective connection parameters required, namely AWS Region, S3 output location, Data source, DatabaseData source, username, password, port, and database name. You can also enable further action to Whitelist IP.

Once these configurations are done, you need to Test 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 Athena 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 Athena Connector. So click Add Query to go to the Query Editor. Here you would add the query with the OFFSET clause.

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. Now from the connector select the query for pagination and click Continue. Select your database environment. 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. You can also view the SQL query being used using Show query. If you want to hide the query for some reason, click Hide Query. Beyond the configured queries you feel the need a few more queries you can use the Add Query option.

Fetch count of rows satisfying a condition

Now that Athena is primarily useful for analytics you can have queries where you want to find the subscribers or visitors to a particular article that is selected from the Tablegrid and then display it as a count in a numeric control on the click of the Action button. In that case you can specify the query accordingly as seen below to get the count. You will have to use a variable to pass the selected URL to the query.

Now in the App builder, first add the Connector and respective query. Then add an action flow that would be trigger with the click of the Action button (named Show Count).

Return the count using a Response variable.

You can then display it by setting the value for the respective numeric control that is added for the purpose.

Using the DB Connector for Athena 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.