2

我从这里使用融合的 cp-all-in-one 项目配置：https ://github.com/confluentinc/cp-docker-images/blob/5.2.2-post/examples/cp-all-in-one /docker-compose.yml

我正在http://localhost:8082/topics/zuum-positions 使用以下 AVRO 正文发布一条消息：

{  
   "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
         }
      }
   ]
}

我已将以下标头正确添加到上述 POST 请求中： Content-Type: application/vnd.kafka.avro.v2+json Accept: 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，但我已从此处保留其配置：https ://github.com/confluentinc/cp-docker-images/blob/5.2.2-post/examples/cp -all-in-one/docker-compose.yml#L77

你能帮忙吗？

4

3 回答 3

4

问题已修复。

基本上，kafka 消息已成功保留到该主题，但是当我的 JDBC 接收器连接器尝试解析它并复制到我们的 MySQL 数据库时，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"
}

使用正确的主机更新了架构注册表 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"
}
于 2019-07-19T09:43:33.957 回答
1

假设问题是消息的关键，则替代答案是更改 Connect 容器环境变量以更改

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，您可以完全删除这些localhost值。

于 2019-07-19T15:37:46.413 回答
0

Confluent Connect 不会重新尝试此错误，如果您的任务因此而失败，它们可能会从集群中删除。此错误也可能出现在运行 Confluent 5.5.x 或更早版本的生产集群中，我昨晚遇到了它，见下文 -

Graceful stop of task failed (Executing stage VALUE_CONVERTER)
[2022-01-09 01:11:27,890] ERROR Graceful stop of task xyz_s3-sink209_2222_MESSAGE-0 failed. (org.apache.kafka.connect.runtime.Worker:746)
[2022-01-09 01:11:31,589] ERROR Error encountered in task xyz_s3-sink209_2222_MESSAGE-0. Executing stage 'VALUE_CONVERTER' with class 'io.confluent.connect.avro.AvroConverter', where consumed record is {topic='b0213_BC_MESSAGE', partition=0, offset=6007846, timestamp=1641664763873, timestampType=CreateTime}. (org.apache.kafka.connect.runtime.errors.LogReporter:62)
[2022-01-09 01:11:31,591] ERROR WorkerSinkTask{id=xyz_s3-sink209_2222_MESSAGE-0} Task threw an uncaught and unrecoverable exception (org.apache.kafka.connect.runtime.WorkerTask:186)
[2022-01-09 01:11:31,594] ERROR WorkerSinkTask{id=xyz_s3-sink209_2222_MESSAGE-0} Task is being killed and will not recover until manually restarted (org.apache.kafka.connect.runtime.WorkerTask:187)

完整的错误可能如下所示 -

{"id":0,"state":"FAILED","worker_id":"xyz.co.uk:8083","trace":"org.apache.kafka.connect.errors.ConnectException: Tolerance exceeded in error handler\n\tat org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndHandleError(RetryWithToleranceOperator.java:178)\n\tat org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execute(RetryWithToleranceOperator.java:104)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.convertAndTransformRecord(WorkerSinkTask.java:491)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.convertMessages(WorkerSinkTask.java:468)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:324)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:228)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:200)\n\tat org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:184)\n\tat org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:234)\n\tat java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)\n\tat java.util.concurrent.FutureTask.run(FutureTask.java:266)\n\tat java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\n\tat java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\n\tat java.lang.Thread.run(Thread.java:748)\nCaused by: org.apache.kafka.connect.errors.DataException: Failed to deserialize data for topic xyz_2222_MESSAGE to Avro: \n\tat io.confluent.connect.avro.AvroConverter.toConnectData(AvroConverter.java:118)\n\tat org.apache.kafka.connect.storage.Converter.toConnectData(Converter.java:87)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.lambda$convertAndTransformRecord$1(WorkerSinkTask.java:491)\n\tat org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndRetry(RetryWithToleranceOperator.java:128)\n\tat org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndHandleError(RetryWithToleranceOperator.java:162)\n\t... 13 more\nCaused by: org.apache.kafka.common.errors.SerializationException: Error retrieving Avro value schema for id 32818\nCaused by: java.net.SocketTimeoutException: Read timed out\n\tat java.net.SocketInputStream.socketRead0(Native Method)\n\tat java.net.SocketInputStream.socketRead(SocketInputStream.java:116)\n\tat java.net.SocketInputStream.read(SocketInputStream.java:171)\n\tat java.net.SocketInputStream.read(SocketInputStream.java:141)\n\tat java.io.BufferedInputStream.fill(BufferedInputStream.java:246)\n\tat java.io.BufferedInputStream.read1(BufferedInputStream.java:286)\n\tat java.io.BufferedInputStream.read(BufferedInputStream.java:345)\n\tat sun.net.www.http.HttpClient.parseHTTPHeader(HttpClient.java:735)\n\tat sun.net.www.http.HttpClient.parseHTTP(HttpClient.java:678)\n\tat sun.net.www.protocol.http.HttpURLConnection.getInputStream0(HttpURLConnection.java:1587)\n\tat sun.net.www.protocol.http.HttpURLConnection.getInputStream(HttpURLConnection.java:1492)\n\tat java.net.HttpURLConnection.getResponseCode(HttpURLConnection.java:480)\n\tat io.confluent.kafka.schemaregistry.client.rest.RestService.sendHttpRequest(RestService.java:272)\n\tat io.confluent.kafka.schemaregistry.client.rest.RestService.httpRequest(RestService.java:351)\n\tat io.confluent.kafka.schemaregistry.client.rest.RestService.getId(RestService.java:659)\n\tat io.confluent.kafka.schemaregistry.client.rest.RestService.getId(RestService.java:641)\n\tat io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getSchemaByIdFromRegistry(CachedSchemaRegistryClient.java:217)\n\tat io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getSchemaBySubjectAndId(CachedSchemaRegistryClient.java:291)\n\tat io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getSchemaById(CachedSchemaRegistryClient.java:276)\n\tat io.confluent.kafka.serializers.AbstractKafkaAvroDeserializer$DeserializationContext.schemaFromRegistry(AbstractKafkaAvroDeserializer.java:273)\n\tat io.confluent.kafka.serializers.AbstractKafkaAvroDeserializer$DeserializationContext.getSubject(AbstractKafkaAvroDeserializer.java:297)\n\tat io.confluent.kafka.serializers.AbstractKafkaAvroDeserializer$DeserializationContext.schemaForDeserialize(AbstractKafkaAvroDeserializer.java:286)\n\tat io.confluent.kafka.serializers.AbstractKafkaAvroDeserializer.deserializeWithSchemaAndVersion(AbstractKafkaAvroDeserializer.java:151)\n\tat io.confluent.connect.avro.AvroConverter$Deserializer.deserialize(AvroConverter.java:162)\n\tat io.confluent.connect.avro.AvroConverter.toConnectData(AvroConverter.java:101)\n\tat org.apache.kafka.connect.storage.Converter.toConnectData(Converter.java:87)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.lambda$convertAndTransformRecord$1(WorkerSinkTask.java:491)\n\tat org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndRetry(RetryWithToleranceOperator.java:128)\n\tat org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndHandleError(RetryWithToleranceOperator.java:162)\n\tat org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execute(RetryWithToleranceOperator.java:104)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.convertAndTransformRecord(WorkerSinkTask.java:491)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.convertMessages(WorkerSinkTask.java:468)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:324)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:228)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:200)\n\tat org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:184)\n\tat org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:234)\n\tat java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)\n\tat java.util.concurrent.FutureTask.run(FutureTask.java:266)\n\tat java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\n\tat java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\n\tat java.lang.Thread.run(Thread.java:748)\n"}

如果 Schema Registry 实例未在负载平衡集群内的所有节点上运行，您可能会看到此错误。

任何尝试从 Kafka 反序列化数据的 Connect 任务都会失败，直到 Schema Registry 健康且可访问。

一旦验证 Kafka 代理和 Schema Registry 已备份且健康，则可以在集群中的非平衡连接节点上卸载并重新启动连接任务以解决此问题。

于 2022-01-10T03:01:50.460 回答