Docker 未能反序列化主题的数据

我在这里使用confluent cp all-in-one项目配置：

我正在给你留言http://localhost:8082/topics/zuum-职位 具有以下AVRO主体：

{  
   "key_schema": "{\"type\":\"string\"}",
   "value_schema":"{  \"type\":\"record\",\"name\":\"Position\",\"fields\":[  {  \"name\":\"loadId\",\"type\":\"double\"},{\"name\":\"lat\",\"type\":\"double\"},{  \"name\":\"lon\",\"type\":\"double\"}]}",
   "records":[  
      {  
         "key":"22",
         "value":{  
            "lat":43.33,
            "lon":43.33,
            "loadId":22
         }
      }
   ]
}

我已将以下标题正确添加到上述POST请求中： 内容类型：application/vnd.kafka.avro.v2+json 接受：application/vnd.kafka.v2+json

执行此请求时，我在docker日志中看到以下异常：

Error encountered in task zuum-sink-positions-0. Executing stage 'VALUE_CONVERTER' with class 'io.confluent.connect.avro.AvroConverter', where consumed record is {topic='zuum-positions', partition=0, offset=25, timestamp=1563480487456, timestampType=CreateTime}. org.apache.kafka.connect.errors.DataException: Failed to deserialize data for topic zuum-positions to Avro: 
connect            |    at io.confluent.connect.avro.AvroConverter.toConnectData(AvroConverter.java:107)
connect            |    at org.apache.kafka.connect.runtime.WorkerSinkTask.lambda$convertAndTransformRecord$1(WorkerSinkTask.java:487)
connect            |    at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndRetry(RetryWithToleranceOperator.java:128)
connect            |    at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndHandleError(RetryWithToleranceOperator.java:162)
connect            |    at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execute(RetryWithToleranceOperator.java:104)
connect            |    at org.apache.kafka.connect.runtime.WorkerSinkTask.convertAndTransformRecord(WorkerSinkTask.java:487)
connect            |    at org.apache.kafka.connect.runtime.WorkerSinkTask.convertMessages(WorkerSinkTask.java:464)
connect            |    at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:320)
connect            |    at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:224)
connect            |    at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:192)
connect            |    at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:175)
connect            |    at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:219)
connect            |    at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
connect            |    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
connect            |    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
connect            |    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
connect            |    at java.lang.Thread.run(Thread.java:748)
connect            | Caused by: org.apache.kafka.common.errors.SerializationException: Error deserializing Avro message for id 61
connect            | Caused by: java.net.ConnectException: Connection refused (Connection refused)
connect            |    at java.net.PlainSocketImpl.socketConnect(Native Method)
connect            |    at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)
connect            |    at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
connect            |    at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
connect            |    at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
connect            |    at java.net.Socket.connect(Socket.java:589)
connect            |    at sun.net.NetworkClient.doConnect(NetworkClient.java:175)
connect            |    at sun.net.www.http.HttpClient.openServer(HttpClient.java:463)
connect            |    at sun.net.www.http.HttpClient.openServer(HttpClient.java:558)
connect            |    at sun.net.www.http.HttpClient.<init>(HttpClient.java:242)
connect            |    at sun.net.www.http.HttpClient.New(HttpClient.java:339)
connect            |    at sun.net.www.http.HttpClient.New(HttpClient.java:357)
connect            |    at sun.net.www.protocol.http.HttpURLConnection.getNewHttpClient(HttpURLConnection.java:1220)
connect            |    at sun.net.www.protocol.http.HttpURLConnection.plainConnect0(HttpURLConnection.java:1156)
connect            |    at sun.net.www.protocol.http.HttpURLConnection.plainConnect(HttpURLConnection.java:1050)
connect            |    at sun.net.www.protocol.http.HttpURLConnection.connect(HttpURLConnection.java:984)
connect            |    at sun.net.www.protocol.http.HttpURLConnection.getInputStream0(HttpURLConnection.java:1564)
connect            |    at sun.net.www.protocol.http.HttpURLConnection.getInputStream(HttpURLConnection.java:1492)
connect            |    at java.net.HttpURLConnection.getResponseCode(HttpURLConnection.java:480)
connect            |    at io.confluent.kafka.schemaregistry.client.rest.RestService.sendHttpRequest(RestService.java:208)
connect            |    at io.confluent.kafka.schemaregistry.client.rest.RestService.httpRequest(RestService.java:252)
connect            |    at io.confluent.kafka.schemaregistry.client.rest.RestService.getId(RestService.java:482)
connect            |    at io.confluent.kafka.schemaregistry.client.rest.RestService.getId(RestService.java:475)
connect            |    at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getSchemaByIdFromRegistry(CachedSchemaRegistryClient.java:153)
connect            |    at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getBySubjectAndId(CachedSchemaRegistryClient.java:232)
connect            |    at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getById(CachedSchemaRegistryClient.java:211)
connect            |    at io.confluent.kafka.serializers.AbstractKafkaAvroDeserializer.deserialize(AbstractKafkaAvroDeserializer.java:116)
connect            |    at io.confluent.kafka.serializers.AbstractKafkaAvroDeserializer.deserializeWithSchemaAndVersion(AbstractKafkaAvroDeserializer.java:215)
connect            |    at io.confluent.connect.avro.AvroConverter$Deserializer.deserialize(AvroConverter.java:145)
connect            |    at io.confluent.connect.avro.AvroConverter.toConnectData(AvroConverter.java:90)
connect            |    at org.apache.kafka.connect.runtime.WorkerSinkTask.lambda$convertAndTransformRecord$1(WorkerSinkTask.java:487)
connect            |    at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndRetry(RetryWithToleranceOperator.java:128)
connect            |    at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndHandleError(RetryWithToleranceOperator.java:162)
connect            |    at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execute(RetryWithToleranceOperator.java:104)
connect            |    at org.apache.kafka.connect.runtime.WorkerSinkTask.convertAndTransformRecord(WorkerSinkTask.java:487)
connect            |    at org.apache.kafka.connect.runtime.WorkerSinkTask.convertMessages(WorkerSinkTask.java:464)
connect            |    at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:320)
connect            |    at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:224)
connect            |    at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:192)
connect            |    at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:175)
connect            |    at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:219)
connect            |    at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
connect            |    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
connect            |    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
connect            |    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
connect            |    at java.lang.Thread.run(Thread.java:748)

我花了好几个小时在这上面，找不到原因。通常，当connect无法连接到架构注册表时会发生此错误，但我保留了它们的配置：

你能帮忙吗

问题已修复

基本上，kafka消息已成功地持久化到主题，但当我的JDBC接收器连接器试图解析它并复制到MySQL DB时，它无法连接到模式注册表URL

以前的连接器配置：

{
  "name": "zuum-sink-positions",
  "key.converter.schema.registry.url": "http://localhost:8081", 
  "value.converter.schema.registry.url": "http://localhost:8081", 
  "connector.class": "io.confluent.connect.jdbc.JdbcSinkConnector",
  "key.converter": "org.apache.kafka.connect.storage.StringConverter",
  "value.converter": "io.confluent.connect.avro.AvroConverter",
  "key.converter.schemas.enable":"false",
  "value.converter.schemas.enable":"true",
  "config.action.reload": "restart",
  "errors.log.enable": "true",
  "errors.log.include.messages": "true",
  "print.key": "true",
  "errors.tolerance": "all",
  "topics": "zuum-positions",
  "connection.url": "jdbc:mysql://ip:3306/zuum_tracking",
  "connection.user": "user",
  "connection.password": "password",
  "auto.create": "true"
}

已使用正确的主机更新架构注册表url：

{
  "name": "zuum-sink-positions",
  "key.converter.schema.registry.url": "http://schema-registry:8081", 
  "value.converter.schema.registry.url": "http://schema-registry:8081", 
  "connector.class": "io.confluent.connect.jdbc.JdbcSinkConnector",
  "key.converter": "org.apache.kafka.connect.storage.StringConverter",
  "value.converter": "io.confluent.connect.avro.AvroConverter",
  "key.converter.schemas.enable":"false",
  "value.converter.schemas.enable":"true",
  "config.action.reload": "restart",
  "errors.log.enable": "true",
  "errors.log.include.messages": "true",
  "print.key": "true",
  "errors.tolerance": "all",
  "topics": "zuum-positions",
  "connection.url": "jdbc:mysql://ip:3306/zuum_tracking",
  "connection.user": "user",
  "connection.password": "password",
  "auto.create": "true"
}

---

假设问题是消息的关键，另一种解决方案是将connectcontainer env vars更改为change

CONNECT_KEY_CONVERTER=io.confluent.connect.avro.AvroConverter
CONNECT_KEY_CONVERTER_SCHEMA_REGISTRY_URL=http://schema-registry:8081

---

否则，如果问题只是值，那么如果要覆盖Compose/connect-distributed.properties文件中设置的默认值，则只需在JSON中指定转换器设置。换句话说，您可以完全删除localhost值

这是整个stacktrace吗？@cricket\u 007刚刚更新了stacktrace@Robin莫法特，你能告诉我吗？在这里你基本上改变了模式注册url。您能告诉我您的模式注册表属性中的url是什么吗？我也在尝试做同样的事情，但遇到了多个问题，最终到达了这里。你能在这里发布你的接收器和源配置，以及你的源数据库表吗。这是我问题的链接-