Question

我正在尝试使用kafka connect hdfs sink connector将json数据从kafka移动到hdfs。

即使kafka中的json数据具有架构和有效负载，kafka connect任务也会因错误而失败

{"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"}}

Kafka中的数据：

./ bin / kafka-console-consumer --topic test_hdfs_json_schema_payload_1 --zookeeper localhost：2181 - from-beginning

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

使用以下命令提交HDFS接收器作业：

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

分布式kafka连接工作人员配置：

{
    "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"
}

错误消息：

docs

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Answer 1

您使用的是哪种版本的Kafka Connect？当从堆栈跟踪中工作以确定错误的来源时，这有助于了解这一点。

我认为发生的事情是您在数据中有数据，但在键中没有数据。由于key.converter和value.converter都设置为JsonConverter和schemas.enable=true，因此希望看到包含schema和{{1}的信封格式} 对彼此而言。但是，我猜你的密钥都是payload。

这是https://issues.apache.org/jira/browse/KAFKA-3832的反向问题，其中null永远不会生成真正的JsonConverter值。相反，它始终生成包含预期可选模式+ null有效负载的信封。在这种情况下，从Kafka转换为Connect的数据API不起作用，因为它期望密钥中的信封格式相同。

您可以通过向控制台使用者命令添加null来验证这是问题所在。如果它打印出--property print.key=true个键，问题是JsonConverter无法解码它们。

一个简单的解决方法是只使用其他null来处理不关心Converter值的键 - 无论如何键中都没有数据。与Kafka Connect一起提供的是null。

即使json数据包含架构和有效负载字段，kafka connect hdfs sink连接器也会失败

1 个答案: