Kafka for Developers - Data Contracts Using Schema Registry - Adding a New Field in Schema - FORWARD Compatibility

The lecture covers forward compatibility in schema registries, explaining how new schema versions can be read by consumers using older schemas. It contrasts forward compatibility with backward compatibility and introduces forward transitive compatibility. The coding example involves updating a coffee order schema to include a new field, demonstrating how to handle compatibility issues and update schema versions effectively.

What is forward compatibility in the context of schema registry?

What happens when a consumer using an older schema tries to read data produced with a new schema?

Explain the difference between forward compatibility and backward compatibility.

How does the schema registry handle compatibility checks?

What are the rules that need to be followed for forward compatibility?

What is forward transitive compatibility and when is it used?

What steps should be taken if a schema update causes a serialization exception?

In the context of schema evolution, why is it important to understand compatibility types?

Describe a scenario where forward compatibility is beneficial.

What is the significance of the producer being updated first in forward compatibility?