Kafka for Developers - Data Contracts Using Schema Registry - Coffee Update Event AVRO Schema

This lecture covers updating coffee orders by producing and consuming update messages. It explains the use of record name strategy for publishing multiple event types to the same topic, ensuring order maintenance. The lecture includes coding a schema for the coffee update event, generating Avro files, and publishing them to Maven local. The process involves creating a JSON schema, using record name strategy, and setting up a producer and consumer for the events.

What is the primary purpose of the update message in the coffee order system?

• To delete an order

• To cancel an order

• To provide an update on the order status

• To create a new order

Which of the following is NOT a possible status for a coffee order?

• Delivered

• Cancelled

• Processing

• Ready for pickup

Why is the record name strategy used in this coffee order update system?

• To reduce the number of events

• To ensure all events are published to different topics

• To simplify the schema creation process

• To maintain the order of related events in the same topic

What is the main advantage of using the record name strategy in event publishing?

• It allows for faster event processing

• It ensures events are published in alphabetical order

• It reduces the size of the event messages

• It maintains the order of related events in the same topic

What is the first step in creating the schema for the coffee order update?

• Generating Avro classes

• Creating the AVSE file

• Publishing the schema to Maven local

• Building the producer