confluent-schema-registry

After setting up the Kafka Broker cluster and creating few topics, we found that the following two topics are automatically created by Kafka: __consumer_offsets _schema What is the importance and use of these topics ? Natalia __consumer_offsets is used to store information about committed offsets for each topic:partition per group of consumers (groupID). It is compacted topic, so data will be periodically compressed and only latest offsets information available. _schema - is not a default kafka topic (at least at kafka 8,9). It is added by Confluent. See more: Confluent Schema Registry -

I'm using a Kafka Source in Spark Structured Streaming to receive Confluent encoded Avro records. I intend to use Confluent Schema Registry, but the integration with spark structured streaming seems to be impossible. I have seen this question, but unable to get it working with the Confluent Schema Registry. Reading Avro messages from Kafka with Spark 2.0.2 (structured streaming) tstites It took me a couple months of reading source code and testing things out. In a nutshell, Spark can only handle String and Binary serialization. You must manually deserialize the data. In spark, create the