我正在尝试使用kafka connect hdfs sink连接器将json数据从kafka移动到hdfs。
即使kafka中的json数据具有模式和负载，kafka connect任务也会失败并出现错误

org.apache.kafka.connect.errors.DataException: JsonConverter with schemas.enable requires \"schema\" and \"payload\" fields and may not contain additional fields.

Kafka资料：
./bin/kafka控制台使用者--topic test\u hdfs\u json\u schema\u payload\u 1--zookeeperlocalhost:2181 --from-beginning

{"schema": {"type": "struct","fields": [{"type": "string","optional": false,"field": "Name"}, {"type": "string","optional": false,"field": "company"}],"optional": false,"name": "Person"},"payload": {"Name": "deepak","company": "BT"}}
{"schema": {"type": "struct","fields": [{"type": "string","optional": false,"field": "Name"}, {"type": "string","optional": false,"field": "company"}],"optional": false,"name": "Person"},"payload": {"Name": "sufi","company": "BT"}}
{"schema": {"type": "struct","fields": [{"type": "string","optional": false,"field": "Name"}, {"type": "string","optional": false,"field": "company"}],"optional": false,"name": "Person"},"payload": {"Name": "vikas","company": "BT"}}

已使用以下命令提交hdfs接收器作业：

curl -X POST -H "Content-Type: application/json" --data '{"name": "connect-cluster-15may-308pm", "config": {"connector.class":"io.confluent.connect.hdfs.HdfsSinkConnector", "tasks.max":"2", "hdfs.url": "hdfs://localhost:9000","flush.size": "1","topics":"test_hdfs_json_schema_payload_1","topics.dir":"/deepak/kafka-connect/trial1"}}' http://localhost:8083/connectors

分布式kafka连接工作程序配置：

key.converter=org.apache.kafka.connect.json.JsonConverter
value.converter=org.apache.kafka.connect.json.JsonConverter
key.converter.schemas.enable=true
value.converter.schemas.enable=true

错误消息：
http://localhost：8083/连接器/connect-cluster-15may-308pm/任务/0/状态

{
    "state": "FAILED",
    "trace": "org.apache.kafka.connect.errors.DataException: JsonConverter with schemas.enable requires \"schema\" and \"payload\" fields and may not contain additional fields. If you are trying to deserialize plain JSON data, set schemas.enable=false in your converter configuration.\n\tat org.apache.kafka.connect.json.JsonConverter.toConnectData(JsonConverter.java:309)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.convertMessages(WorkerSinkTask.java:400)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:249)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:179)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:148)\n\tat org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:139)\n\tat org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:182)\n\tat java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)\n\tat java.util.concurrent.FutureTask.run(FutureTask.java:266)\n\tat java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)\n\tat java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)\n\tat java.lang.Thread.run(Thread.java:745)\n",
    "id": 0,
    "worker_id": "127.0.0.1:8083"
}