Kafka for Developers - Data Contracts Using Schema Registry - Modify Field Names - NONE Compatibility

The lecture covers None compatibility in schema checks, explaining when to use it, such as changing field types or names. It emphasizes creating new topics and schemas to avoid handling incompatible schemas. A practical example demonstrates changing a schema field name and updating versions. The lecture concludes with testing the changes and ensuring compatibility.

What does None compatibility mean in schema management?

• It allows all changes without any checks.

• It restricts changes to only field names.

• It enforces strict version control.

• It requires backward compatibility.

When is None compatibility particularly useful?

• When deleting fields.

• When merging schemas.

• When changing field types or names.

• When adding new fields.

What is the first step in implementing None compatibility?

• Running a compatibility check.

• Changing the field name.

• Updating the producer code.

• Changing the schema version.

What should be done after changing the field name in the schema?

• Delete the old schema.

• Update the schema version.

• Notify all users.

• Run a compatibility test.

Why is it important to update both producers and consumers?

• To improve data encryption.

• To reduce server load.

• To ensure they can communicate with the new schema.

• To increase processing speed.

What happens if the compatibility type is not updated to None?

• An error will occur due to incompatibility.

• The changes will be partially applied.

• The system will ignore the changes.

• The schema will be automatically updated.

What indicates a successful implementation of None compatibility?

• The system logs an error.

• The producer stops sending messages.

• The consumer receives and parses messages correctly.

• The schema version remains unchanged.