Estoy tratando de enriquecer los datos de los temas. Por lo tanto, lea desde Kafka hasta Kafka utilizando la transmisión estructurada de Spark.

val ds = spark.readStream
      .format("kafka")
      .option("kafka.bootstrap.servers", bootstrapServers)
      .option("group.id", groupId)
      .option("subscribe", "topicname")
      .load()


val enriched = ds.select("key", "value", "topic").as[(String, String, String)].map(record => enrich(record._1,
      record._2, record._3)

val query = enriched.writeStream
      .format("kafka")
      .option("kafka.bootstrap.servers", bootstrapServers)
      .option("group.id", groupId)
      .option("topic", "desttopic")
      .start()

Pero estoy recibiendo una excepción:

Exception in thread "main" java.lang.UnsupportedOperationException: Data source kafka does not support streamed writing
    at org.apache.spark.sql.execution.datasources.DataSource.createSink(DataSource.scala:287)
    at org.apache.spark.sql.streaming.DataStreamWriter.start(DataStreamWriter.scala:266)
    at kafka_bridge.KafkaBridge$.main(KafkaBridge.scala:319)
    at kafka_bridge.KafkaBridge.main(KafkaBridge.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)

¿Alguna solución?