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Connect to live data from Typeform with the API Driver

Connect to Typeform

Stream Typeform Data into Apache Kafka Topics



Access and stream Typeform data in Apache Kafka using the CData JDBC Driver and the Kafka Connect JDBC connector.

Apache Kafka is an open-source stream processing platform that is primarily used for building real-time data pipelines and event-driven applications. When paired with the CData API Driver for JDBC, Kafka can work with live Typeform data. This article describes how to connect, access and stream Typeform data into Apache Kafka Topics and to start Confluent Control Center to help users secure, manage, and monitor the Typeform data received using Kafka infrastructure in the Confluent Platform.

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.

Prerequisites

Before connecting the CData JDBC Driver for streaming Typeform data in Apache Kafka Topics, install and configure the following in the client Linux-based system.

  1. Confluent Platform for Apache Kafka
  2. Confluent Hub CLI Installation
  3. Self-Managed Kafka JDBC Source Connector for Confluent Platform

Define a New JDBC Connection to Typeform data

  1. Download CData API Driver for JDBC on a Linux-based system
  2. Follow the given instructions to create a new directory extract all the driver contents into it:
    1. Create a new directory named Typeform mkdir API
    2. Move the downloaded driver file (.zip) into this new directory mv APIJDBCDriver.zip API/
    3. Unzip the CData APIJDBCDriver contents into this new directory unzip APIJDBCDriver.zip
  3. Open the Typeform directory and navigate to the lib folder ls cd lib/
  4. Copy the contents of the lib folder of Typeform into the lib folder of Kafka Connect JDBC. Check the Kafka Connect JDBC folder contents to confirm that the cdata.jdbc.api.jar file is successfully copied into the lib folder cp * ../../confluent-7.5.0/share/confluent-hub-components/confluentinc-kafka-connect-jdbc/lib/ cd ../../confluent-7.5.0/share/confluent-hub-components/confluentinc-kafka-connect-jdbc/lib/
  5. Install the CData Typeform JDBC driver license using the given command, followed by your Name and Email ID java -jar cdata.jdbc.api.jar -l
  6. Enter the product key or "TRIAL" (In the scenarios of license expiry, please contact our CData Support team)
  7. Start the Confluent local services using the command: confluent local services start

    This starts all the Confluent Services like Zookeeper, Kafka, Schema Registry, Kafka REST, Kafka CONNECT, ksqlDB and Control Center. You are now ready to use the CData JDBC driver for Typeform to stream messages using Kafka Connect Driver into Kafka Topics on ksqlDB.

    Start the Confluent local services
  8. Create the Kafka topics manually using a POST HTTP API Request: curl --location 'server_address:8083/connectors' --header 'Content-Type: application/json' --data '{ "name": "jdbc_source_cdata_api_01", "config": { "connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector", "connection.url": "jdbc:api:Profile=C:\profiles\TypeForm.apip;Authscheme=OAuth;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;; InitiateOAuth=GETANDREFRESH", "topic.prefix": "api-01-", "mode": "bulk" } }'

    Let us understand the fields used in the HTTP POST body (shown above):

    • connector.class: Specifies the Java class of the Kafka Connect connector to be used.
    • connection.url: The JDBC connection URL to connect with Typeform data.

      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.

      java -jar cdata.jdbc.api.jar

      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.
      Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)

    • topic.prefix: A prefix that will be added to the Kafka topics created by the connector. It's set to "api-01-".
    • mode: Specifies the mode in which the connector operates. In this case, it's set to "bulk", which suggests that the connector is configured to perform bulk data transfer.

    This request adds all the tables/contents from Typeform as Kafka Topics.

    Note: The IP Address (server) to POST the request (shown above) is the Linux Network IP Address.

  9. Run ksqlDB and list the topics. Use the commands: ksql list topics; List the Kafka Topics (BigCommerce is shown)
  10. To view the data inside the topics, type the SQL Statement: PRINT topic FROM BEGINNING;

Connecting with the Confluent Control Center

To access the Confluent Control Center user interface, ensure to run the "confluent local services" as described in the above section and type http://<server address>:9021/clusters/ on your local browser.

Connect with Confluent Control Center

Get Started Today

Download a free, 30-day trial of the CData API Driver for JDBC and start streaming Typeform data into Apache Kafka. Reach out to our Support Team if you have any questions.