I am trying to write a data frame to Kafka topic with Avro schema for key and value using a schema registry URL. The to_avro function is not writing t...

[dheeraj2444]

I am trying to write a data frame to Kafka topic with Avro schema for key and value using a schema registry URL. The to_avro function is not writing to the topic and throwing an exception with code 40403 something. Is there an alternate way to do this?

error message:

Caused by: RestClientException: Schema not found; error code: 40403

This is how I am using to_avro:

val kafkaDf= df.select(to_avro($"value", lit("topicName-value"), schemaRegistry).as("value"))
kafkaDf
  .write
  .format("kafka")
  .option("kafka.bootstrap.servers", bootstrapServer)
  .option("topic", topicName)
  .option("schema.registry.url", schemaRegistry)
  .option(AbstractKafkaAvroSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, schemaRegistry)
  .save()

[Debayan]

Hi,

Could you please refer to https://github.com/confluentinc/kafka-connect-elasticsearch/issues/59 and let us know if this helps.

[dheeraj2444]

This does not help solve the problem. I have the schema registered but somehow databricks's implementation of to_avro is not able to pick the correct one. I had to define my own Producer and Generic Avro records to send to the Kafka. to_avro utility method is not able to accomplish that.

[Debayan]

@Dheeraj Singh​ , Did it solve the issue? If yes, could you please log a case with Databricks to look into the implementation?

[Kaniz_Fatma]

Hi @Dheeraj Singh​(Customer)​ , We haven’t heard from you on the last response from @Debayan Mukherjee​​, and I was checking back to see if his suggestions helped you.

Or else, If you have any solution, please do share that with the community as it can be helpful to others.

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