Now, let’s say we have a producer using version 2 of the schema with age and a consumer using version 1 with no age. Since Avro converts data into arrays of bytes, and that Kafka messages also contain binary data, we can shiâ¦ We'll drill down into understanding Avro schema evolution and setting up and using Schema Registry with Kafka Avro Serializers. Here is our build file, which shows the Avro JAR files and such that we need. if anyone else is interested please +1 / chime in here. To write the consumer, you will need to configure it to use Schema Registry and to use the KafkaAvroDeserializer. Now, let’s cover writing consumers and producers that use Kafka Avro Serializers, which in turn use the Schema Registry and Avro. You can manage schemas via a REST API with the Schema registry. Over a million developers have joined DZone. Confluent uses schema compatibility checks to see if the producer’s schema and consumer’s schemas are compatible and to do schema evolution if needed. The Deserializer looks up the full schema from the cache or Schema Registry based on ID. GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. It can retrieve a schema by version or ID. it's not too hard to implement a protobuf serializer / deserializer. Until recently Schema Registry supported only Avro schemas, but since Confluent Platform 5.5 the support has been extended to Protobuf and JSON schemas. Join the DZone community and get the full member experience. Also to make it compatible with Apache Avro serializer, adding 00 magic byte as first-byte serialization data is to indicate this is from KAFKA platform, can this be again kept configurable. It can list all versions of a subject (schema). Avro supports schema evolutivity: you can have multiple versions of your schema, by adding or removing fields. The .NET Kafka client doesn't ship with protobuf support out of the box, but it's straightforward to implement this yourself. Importantly, the Schema Registry can check to see if a schema is compatible with a certain version. The Kafka Avro serialization project provides serializers. The mp.messaging.outgoing.movies configure the movies channel. You use KafkaAvroSerializer from the producer and point to the Schema Registry. In the configuration we can now pass the schema registry URL. Provide a default value for fields in your schema, as this allows you to delete the field later. Another client using version 2 of the schema, which has the age, reads the record from the NoSQL store. Producer that uses Kafka Avro Serialization and Kafka Registry: Notice that we configure the Schema Registry and the KafkaAvroSerializer as part of the producer setup. Building and running your Spring Boot application An Avro record is a complex data type in Avro, consisting of other fields, with their own data types (primitive or complex). Gradle build file for Kafka Avro Serializer examples: Notice that we include the Kafka Avro Serializer lib (io.confluent:kafka-avro-serializer:3.2.1) and the Avro lib (org.apache.avro:avro:1.8.1). Ah yes, I didn't mean a replacement for Confluent Schema Registry, just as an alternative to writing the magic header. Ok, the next thing is to see how an Avro schema gets translated into a Java object. To learn more about using GenericRecord and generating code from Avro, read the Avro Kafka tutorial as it has examples of both. Start Kafka and Schema Registry confluent local start schema-registry. Consumers receive payloads and deserialize them with Kafka Avro Deserializers which use the Confluent Schema Registry. Please provide the following information: have you considered protobuf? Confluent.Kafka.Serialization.AvroSerializer is not going to work because without schema.registry.url config property mentioned the KAFKA producer creation fails with an error. The consumer's schema could differ from the producer's. In your example, we will work with Confluent Schema Registry, because that you need to install it, i n t h e Co n f l u e n t s i t e has all the steps for install and run the environment. You can change a field’s default value to another value or add a default value to a field that did not have one.