How deeply does Kafka for Architects cover topic name strategy?

Defines subject naming, value and key conventions, cross-topic separation, and REST version addressing.

Topic name strategy

TopicNameStrategy is a Schema Registry subject-naming strategy that groups schema versions by Kafka topic and message component.

TopicNameStrategy is Schema Registry’s default subject-naming strategy. It evolves a subject within one Kafka topic, grouping that topic’s compatible schema versions under a topic-derived name. section 6.4.3

For a CLIENTS topic, value schemas use the subject CLIENTS-value; key schemas can use CLIENTS-key. Registering the same schema for PERSONS creates a separate PERSONS-value subject. section 6.4.3

Client event on CLIENTS

A ClientEvent Avro schema published to CLIENTS is registered under CLIENTS-value. Its versions can be retrieved through the Schema Registry REST API using the subject and version number. section 6.4.3

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Kafka Streams in Action, Second EditionTopicNameStrategy is a Schema Registry subject naming strategy that derives separate key and value subject names from a Kafka topic name.

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Related concepts

schema referenceused by · A schema reference is a link from one schema to another schema definition, enabling reuse of shared data-structure definitions.
subject name strategykind of · A subject name strategy is a rule that determines how Schema Registry subject names are derived and therefore where compatibility is checked.
topicuses · A topic is a named messaging destination or stream to which producers publish messages or records and from which consumers receive or read them.
subjectuses · A subject is a Schema Registry identifier that groups versions of a schema governing a particular event type, topic, or key or value stream.
topic record name strategycontrasts with · TopicRecordNameStrategy is a Schema Registry subject-naming strategy that derives subjects from a Kafka topic name and a record’s fully qualified name.
schema registryused by · A schema registry is a service that stores, versions, and provides schemas for structured data, often validating compatibility between schema versions.

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