Kafka for Developers - Data Contracts Using Schema Registry - Build a Coffee Shop Order Producer

This lecture covers the creation of a coffee order producer using Kafka. It begins with setting up the project and creating necessary packages and classes. The instructor demonstrates how to code the producer class, handle serialization, and create a utility class for building coffee orders. The lecture addresses schema and compilation issues, and guides through publishing records to a Kafka topic. Troubleshooting steps and a recap of the process are provided, preparing for the next lecture on building a consumer.

What is the primary role of the Coffee Order Producer class?

• To consume coffee orders from a Kafka topic

• To serialize coffee orders into JSON format

• To create and publish coffee orders to a Kafka topic

• To manage database connections for coffee orders

Which package name is used for the utility class in the Coffee Order Producer project?

• com.learn.abro.service

• com.learn.abro.consumer

• com.learn.abro.util

• com.learn.abro.producer

What is the purpose of the utility class in the Coffee Order Producer project?

• To serialize data into XML format

• To build and return coffee order Avro records

• To handle database transactions

• To manage Kafka consumer configurations

What is the default value assigned to the 'country' field in the address schema?

• Canada

• USA

• UK

• Australia

What is the significance of the 'status' field in the coffee order schema?

• It indicates the type of coffee ordered

• It shows the current state of the order

• It specifies the delivery address

• It provides the customer's feedback

What command is used to bring down all Docker containers before restarting Kafka?

• docker stop all

• docker-compose down

• docker-compose stop

• docker remove all

How can you verify that the Kafka environment is set up correctly after restarting?

• By restarting the computer

• By running a Docker PS command

• By checking the Docker logs

• By inspecting the Kafka configuration files

What is the purpose of logging the record metadata after publishing?

• To verify the record's schema

• To check which partition the message was sent to

• To ensure the record is encrypted

• To confirm the record's serialization format

What is the next step after successfully publishing a coffee order record?

• Building a Kafka consumer to read the records

• Switching to a different database

• Deleting the Kafka topic

• Modifying the producer to use XML

What is the main focus of the next lecture following the Coffee Order Producer?

• Creating a new Kafka topic

• Building the Coffee Orders Consumer

• Implementing a new database schema

• Developing a user interface for orders