Kafka Schema Registry provides an interface for storing and managing schemas. Producers and consumers can register the schemas within the registry and retrieve them when necessary. Schemas are versioned, and the registry supports configurable compatibility modes between different schema versions. When a producer or consumer attempts to register a new schema version, the registry performs a compatibility check and returns an error if an incompatible change is detected. This mechanism ensures consistency and compatibility among all producers and consumers when schema changes occur.Documentation Index
Fetch the complete documentation index at: https://docs.streamnative.io/llms.txt
Use this file to discover all available pages before exploring further.
Access Schema Registry in Kafka clients
To access the Kafka Schema Registry, you must configure how to authenticate. There are two ways to configure authentication to the Schema Registry:- OAuth2 authentication: only available for Kafka Java client
- Basic authentication: available for all Kafka clients
OAuth2 authentication
First, import the following dependencies:kafka-clients: 3.4.0oauth-client: 3.1.0.4kafka-avro-serializer: 7.5.0
Before 3.2.2.6,
oauth-client requires Java 17 or higher.Basic authentication
Unlike the OAuth2 authentication, Basic authentication does not require theoauth-client dependency or kafka-clients >= 3.4.0.
The username can be any non-empty string. The password should be the the token (the jwtToken variable in the code below) of your account.
Configurable compatibility modes
When using serialization and deserialization formats such as Avro, JSON Schema, and Protobuf, we need to remember that there are different configurable compatibility modes. In the Schema Registry, schema compatibility is managed by versioning each individual schema. The compatibility type determines how the Schema Registry compares the new schema with previous versions of a schema, for a given subject. Upon its initial creation within a subject, a schema is assigned a unique identifier and a version number, starting at version 1. If the schema is updated and successfully passes the compatibility checks, it is given a new unique identifier and an incremented version number, i.e., version 2.| Compatibility modes | AVRO | JSON | Protobuf |
| NONE | YES | YES | YES |
| BACKWARD | YES | YES | YES |
| BACKWARD_TRANSITIVE | YES | YES | YES |
| FORWARD | YES | YES | - |
| FORWARD_TRANSITIVE | YES | YES | - |
| FULL | YES | YES | - |
| FULL_TRANSITIVE | YES | YES | - |
REST API
Kafka schema registry provides REST API for managing schemas. The following table lists the supported methods and parameters, more details about the API, please refer to Schema Registry API.| API | Method | Support Parameters |
|---|---|---|
/schemas/ids/{int: id} | GET | |
/schemas/ids/{int: id}/schema | GET | |
/schemas/types | GET | |
/schemas/ids/{int: id}/versions | GET | |
/schemas/ids/{int: id}/subjects | GET | |
/subjects | GET | deleted (boolean), deletedOnly (boolean) |
/subjects/(string: subject) | POST | normalize (boolean), deleted (boolean) |
/subjects/(string: subject) | DELETE | permanent (boolean) |
/subjects/(string: subject)/versions | POST | normalize (boolean) |
/subjects/(string: subject)/versions | GET | deleted (boolean), deletedOnly (boolean) |
/subjects/(string: subject)/versions/(versionId: version) | GET | deleted (boolean) |
/subjects/(string: subject)/versions/(versionId: version) | DELETE | permanent (boolean) |
/subjects/(string: subject)/versions/(versionId: version)/schema | GET | |
/subjects/(string: subject)/versions/(versionId: version)/referencedby | GET | |
/compatibility/subjects/(string: subject)/versions/latest | GET | |
/config/(string: subject) | PUT | only support set compatibility |
/config/(string: subject) | GET | only support get compatibility |
/mode | GET | only support the mode READWRITE |
Use Schema Registry on Console
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On the left navigation pane of StreamNative Console, in the Admin section, click Kafka Clients, and choose the Java client, then enable the Kafka Schema Registry by following switch.

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Please make sure you granted permission(produce) for topic
public/__kafka_schemaregistry/__schema-registryin the following page.
Enable Broker-side Schemas IDs Validation
Broker-side Schema ID Validation allows broker to validate the schema ID of the messages they send against the schema ID registered in the Schema Registry. This feature helps ensure that producers are sending messages with the correct schema, reducing the risk of data inconsistencies and errors. For more information, see Validate Broker-side Schemas IDs.Limitations
Schema validation feature does not reject tombstone records (messages with null value) even if there is no schema ID associated with the record. This is to ensure that delete operations can still be performed on compacted topics without being blocked by schema validation.Enable Schema ID Validation on a Topic
Create a topic with Schema ID Validation enabled you can set the topic propertykop.kafka.key.schema.validation=true and kop.kafka.value.schema.validation=true when creating the topic. For example, to create a topic named my-topic-sv with value schema validation, run the following command:
Change the subject name strategy
By default, the subject name strategy is set toTopicNameStrategy, which means that the subject name is derived from the topic name. If you want to change the subject name strategy, you can set the topic property kop.kafka.schema.subject.name.strategy to one of the following values:
TopicNameStrategy: The subject name is derived from the topic name. For example, for a topic namedmy-topic, the subject name will bemy-topic-valuefor value schema andmy-topic-keyfor key schema.RecordNameStrategy: The subject name is derived from the fully qualified name of the recordTopicRecordNameStrategy: The subject name is derived from the topic name and the fully qualified name of the record
my-topic-sv with value schema validation and RecordNameStrategy, run the following command: