How to connect and process Typeform Data from Azure Databricks

Databricks is a cloud-based service that provides data processing capabilities through Apache Spark. When paired with the CData JDBC Driver, customers can use Databricks to perform data engineering and data science on live Typeform data. This article walks through hosting the CData JDBC Driver in Azure, as well as connecting to and processing live Typeform data in Databricks.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Typeform data. When you issue complex SQL queries to Typeform, the driver pushes supported SQL operations, like filters and aggregations, directly to Typeform and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Typeform data using native data types.

Install the CData JDBC Driver in Azure

To work with live Typeform data in Databricks, install the driver on your Azure cluster.

1. Navigate to your Databricks administration screen and select the target cluster.
2. On the Libraries tab, click "Install New."
3. Select "Upload" as the Library Source and "Jar" as the Library Type.
4. Upload the JDBC JAR file (cdata.jdbc.api.jar) from the installation location (typically C:\Program Files\CData[product_name]\lib).

Connect to Typeform from Databricks

With the JAR file installed, we are ready to work with live Typeform data in Databricks. Start by creating a new notebook in your workspace. Name the notebook, select Python as the language (though Scala is available as well), and choose the cluster where you installed the JDBC driver. When the notebook launches, we can configure the connection, query Typeform, and create a basic report.

Configure the Connection to Typeform

Connect to Typeform by referencing the class for the JDBC Driver and constructing a connection string to use in the JDBC URL. Additionally, you will need to set the RTK property in the JDBC URL (unless you are using a Beta driver). You can view the licensing file included in the installation for information on how to set this property.

driver = "cdata.jdbc.api.APIDriver"
url = "jdbc:api:RTK=5246...;Profile=C:\profiles\TypeForm.apip;Authscheme=OAuth;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;InitiateOAuth=GETANDREFRESH"

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Typeform JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

Fill in the connection properties and copy the connection string to the clipboard.

Start by setting the Profile connection property to the location of the TypeForm Profile on disk (e.g. C:\profiles\TypeForm.apip). Next, set the ProfileSettings connection property to the connection string for TypeForm (see below).

TypeForm API Profile Settings

Authentication to TypeForm uses the OAuth standard.

To authenticate to TypeForm, you must first register and configure an OAuth application with TypeForm here: https://admin.typeform.com/account#/section/tokens. Your app will be assigned a client ID and a client secret which can be set in the connection string. More information on setting up an OAuth application can be found at https://developer.typeform.com/get-started/.

Note that there are several different use scenarios which all require different redirect URIs:

• CData Desktop Applications: CData desktop applications (Sync, API Server, ArcESB) accept OAuth tokens at /src/oauthCallback.rst. The host and port is the same as the default port used by the application. For example, if you use http://localhost:8019/ to access CData Sync then the redirect URI will be http://localhost:8019/src/oauthCallback.rst.
• CData Cloud Applications: CData cloud applications are similar to their desktop counterparts. If you access Connect Cloud at https://1.2.3.4/ then you should use the redirect https://1.2.3.4/src/oauthCallback.rst.
• Desktop Application: When using a desktop application, the URI https://localhost:33333 is recommended.
• Web Application: When developing a web application using the driver, use your own URI here such as https://my-website.com/oauth.

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to OAuth.
• InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
• OAuthClientId: Set this to the Client Id that is specified in your app settings.
• OAuthClientSecret: Set this to Client Secret that is specified in your app settings.
• CallbackURL: Set this to the Redirect URI you specified in your app settings.

Load Typeform Data

Once the connection is configured, you can load Typeform data as a dataframe using the CData JDBC Driver and the connection information.

remote_table = spark.read.format ( "jdbc" ) \
	.option ( "driver" , driver) \
	.option ( "url" , url) \
	.option ( "dbtable" , "Tags") \
	.load ()

Display Typeform Data

Check the loaded Typeform data by calling the display function.

display (remote_table.select ("Id"))

Analyze Typeform Data in Azure Databricks

If you want to process data with Databricks SparkSQL, register the loaded data as a Temp View.

remote_table.createOrReplaceTempView ( "SAMPLE_VIEW" )

The SparkSQL below retrieves the Typeform data for analysis.

% sql

SELECT Id, Title FROM Tags WHERE SettingsIsPublic = 'true'

The data from Typeform is only available in the target notebook. If you want to use it with other users, save it as a table.

remote_table.write.format ( "parquet" ) .saveAsTable ( "SAMPLE_TABLE" )

Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Typeform data in Azure Databricks. Reach out to our Support Team if you have any questions.