Se está lanzando una excepción para Elastic Search Connector:

[2018-05-07 11:40:38,975] ERROR WorkerSinkTask{id=elasticsearch-sink-0} Task threw an uncaught and unrecoverable exception (org.apache.kafka.connect.runtime.WorkerTask:172)
org.apache.kafka.connect.errors.DataException: de******ense
        at io.confluent.connect.avro.AvroConverter.toConnectData(AvroConverter.java:95)
        at org.apache.kafka.connect.runtime.WorkerSinkTask.convertMessages(WorkerSinkTask.java:467)
        at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:301)
        at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:205)
        at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:173)
        at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:170)
        at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:214)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.kafka.common.errors.SerializationException: Error deserializing Avro message for id -1
Caused by: org.apache.kafka.common.errors.SerializationException: Unknown magic byte!
[2018-05-07 11:40:38,976] ERROR WorkerSinkTask{id=elasticsearch-sink-0} Task is being killed and will not recover until manually restarted (org.apache.kafka.connect.runtime.WorkerTask:173)

Mi configuración paraquickstart-elasticsearch.properties :

name=elasticsearch-sink
connector.class=io.confluent.connect.elasticsearch.ElasticsearchSinkConnector
tasks.max=1
topics=de******ense
key.ignore=true
compact.map.entries=false
connection.url=http://127.0.0.1:9197
type.name=kafka-connect

Estoy pasando elkey.ignore=true pero está tratando de analizar la clave.

ragmento de código deWorkerSinkTask.java:467

SchemaAndValue keyAndSchema = keyConverter.toConnectData(msg.topic(), msg.key());

El conector intenta analizar la clave pero no hay clave en los temas.

TOPIC Muestra de datos:

{"EXPENSE_CODE":{"string":"NL1230"},"EXPENSE_CODE_DESCRIPTION":{"string":"ABC Company"},"NO_OF_DEALS":{"long":7}}
    {"EXPENSE_CODE":{"string":"NL1220"},"EXPENSE_CODE_DESCRIPTION":{"string":"XYZ Company"},"NO_OF_DEALS":{"long":308}}
    {"EXPENSE_CODE":{"string":"NL1210"},"EXPENSE_CODE_DESCRIPTION":{"string":"Alberthijn - Amsterdam"},"NO_OF_DEALS":{"long":287}}
    {"EXPENSE_CODE":{"string":"NL1200"},"EXPENSE_CODE_DESCRIPTION":{"string":"KLM - ADAM"},"NO_OF_DEALS":{"long":609}}
    {"EXPENSE_CODE":{"string":"NL1240"},"EXPENSE_CODE_DESCRIPTION":{"string":"EXIDS- Global Limit"},"NO_OF_DEALS":{"long":9786}}

esquema-registro / connect-avro-distributed.properties

bootstrap.servers=localhost:9192


#schema.registry.url=http://localhost:9193
key.converter=io.confluent.connect.avro.AvroConverter
key.converter.schema.registry.url=http://localhost:9193
value.converter=io.confluent.connect.avro.AvroConverter
value.converter.schema.registry.url=http://localhost:9193

# tried schema enable true as well for keys
key.converter.schemas.enable=false
value.converter.schemas.enable=true

config.storage.topic=connect-configs
offset.storage.topic=connect-offsets
status.storage.topic=connect-statuses

config.storage.replication.factor=1
offset.storage.replication.factor=1
status.storage.replication.factor=1

#offset.storage.partitions=25
#status.storage.partitions=5


internal.key.converter.schema.registry.url=http://localhost:9193
internal.value.converter=org.apache.kafka.connect.json.JsonConverter
internal.value.converter.schema.registry.url=http://localhost:9193
internal.key.converter.schemas.enable=false
internal.value.converter.schemas.enable=false
plugin.path=bin/../share/java # tried share/java as well

Apunta a la URL de registro de esquema correcta.