我正在从这里使用融合的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
我正在向http://localhost:8082/topics/zuum-positions发布消息
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)
我已经花了几个小时，却找不到原因。通常，当connect无法连接到架构注册表但我将其配置保留在此处时，就会发生此错误：https://github.com/confluentinc/cp-docker-images/blob/5.2.2-post/examples/cp-all-in-one/docker-compose.yml#L77
可以帮忙吗？
答案 0 :(得分：1)
问题已解决。
基本上，kafka消息已成功保留到该主题，但是当我的JDBC接收器连接器试图解析该消息并将其复制到我们的MySQL DB时，它无法连接到架构注册表URL。
先前的连接器配置：
{
"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"
}
答案 1 :(得分：0)
假设问题是消息的关键，替代的答案是将Connect容器环境变量更改为
CONNECT_KEY_CONVERTER=io.confluent.connect.avro.AvroConverter
CONNECT_KEY_CONVERTER_SCHEMA_REGISTRY_URL=http://schema-registry:8081
否则，如果问题仅在于值，那么如果您想覆盖在Compose / connect-distributed.properties中设置的默认值，则只需在JSON中指定转换器设置。文件。换句话说，您可能已经完全删除了localhost值。