docker confluent kafka hdfs接收器正在运行，但任务失败

voase2hg  于 2021-06-07  发布在  Kafka
关注(0)|答案(1)|浏览(548)

我正在使用融合Kafka多合一码头形象设置Kafka在数字海洋滴。我能够成功地运行kafka并使用kafka connectrestapi添加hdfs连接器。我将主机ip替换为cloudera cdh水滴的ip。

curl -X POST \
  -H "Content-Type: application/json" \
  --data '{
  "name": "hdfs-sink",
  "config": {
    "connector.class": "io.confluent.connect.hdfs.HdfsSinkConnector",
    "tasks.max": "1",
    "topics": "test_hdfs",
    "hdfs.url": "hdfs://HOST_IP:8020",
    "flush.size": "3",
    "name": "hdfs-sink"
  }}' \
  http://HOST_IP:8083/connectors

然后，当我curl kafka connect for the hdfs sink status时，我在task下的json响应中收到以下错误（服务的状态是running，但任务失败了）：
java.lang.runtimeexception:io.confluent.kafka.serializers.subject.topicnamestrategy不是io.confluent.kafka.serializers.subject.subjectnamestrategy的示例
更新，所以我设法克服这个错误，使用5.0.0，而不是测试版（愚蠢的我）推荐的板球007。
但是，当我实际尝试将数据发布到hdfs示例时，我收到了一个不同的错误。我使用ksql datagen来生成假数据 docker-compose exec ksql-datagen ksql-datagen quickstart=users format=json topic=test_hdfs maxInterval=1000 \ propertiesFile=/etc/ksql/datagen.properties bootstrap-server=broker:9092 ```
{
"name": "hdfs-sink",
"connector": {
"state": "RUNNING",
"worker_id": "connect:8083"
},
"tasks": [{
"state": "FAILED",
"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:510)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.convertMessages(WorkerSinkTask.java:490)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:321)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:225)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:193)\n\tat org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:175)\n\tat org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:219)\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: test_hdfs\n\tat io.confluent.connect.avro.AvroConverter.toConnectData(AvroConverter.java:97)\n\tat org.apache.kafka.connect.runtime.WorkerSinkTask.lambda$convertAndTransformRecord$0(WorkerSinkTask.java:510)\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 deserializing Avro message for id -1\nCaused by: org.apache.kafka.common.errors.SerializationException: Unknown magic byte!\n",
"id": 0,
"worker_id": "connect:8083"
}],
"type": "sink"
}

编辑2
avro ksql datagen的堆栈跟踪失败

Outputting 1000000 to test_hdfs
Exception in thread "main" org.apache.kafka.common.errors.SerializationException: Error serializing row to topic test_hdfs using Converter API
Caused by: org.apache.kafka.connect.errors.DataException: test_hdfs
at io.confluent.connect.avro.AvroConverter.fromConnectData(AvroConverter.java:77)
at io.confluent.ksql.serde.connect.KsqlConnectSerializer.serialize(KsqlConnectSerializer.java:44)
at io.confluent.ksql.serde.connect.KsqlConnectSerializer.serialize(KsqlConnectSerializer.java:27)
at org.apache.kafka.common.serialization.ExtendedSerializer$Wrapper.serialize(ExtendedSerializer.java:65)
at org.apache.kafka.common.serialization.ExtendedSerializer$Wrapper.serialize(ExtendedSerializer.java:55)
at org.apache.kafka.clients.producer.KafkaProducer.doSend(KafkaProducer.java:854)
at org.apache.kafka.clients.producer.KafkaProducer.send(KafkaProducer.java:816)
at io.confluent.ksql.datagen.DataGenProducer.populateTopic(DataGenProducer.java:94)
at io.confluent.ksql.datagen.DataGen.main(DataGen.java:100)
Caused by: org.apache.kafka.common.errors.SerializationException: Error serializing Avro message
Caused by: java.net.ConnectException: Connection refused (Connection refused)
at java.net.PlainSocketImpl.socketConnect(Native Method)
at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)
at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.net.Socket.connect(Socket.java:589)
at java.net.Socket.connect(Socket.java:538)
at sun.net.NetworkClient.doConnect(NetworkClient.java:180)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:463)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:558)
at sun.net.www.http.HttpClient.(HttpClient.java:242)
at sun.net.www.http.HttpClient.New(HttpClient.java:339)
at sun.net.www.http.HttpClient.New(HttpClient.java:357)
at sun.net.www.protocol.http.HttpURLConnection.getNewHttpClient(HttpURLConnection.java:1220)
at sun.net.www.protocol.http.HttpURLConnection.plainConnect0(HttpURLConnection.java:1156)
at sun.net.www.protocol.http.HttpURLConnection.plainConnect(HttpURLConnection.java:1050)
at sun.net.www.protocol.http.HttpURLConnection.connect(HttpURLConnection.java:984)
at sun.net.www.protocol.http.HttpURLConnection.getOutputStream0(HttpURLConnection.java:1334)
at sun.net.www.protocol.http.HttpURLConnection.getOutputStream(HttpURLConnection.java:1309)
at io.confluent.kafka.schemaregistry.client.rest.RestService.sendHttpRequest(RestService.java:172)
at io.confluent.kafka.schemaregistry.client.rest.RestService.httpRequest(RestService.java:229)
at io.confluent.kafka.schemaregistry.client.rest.RestService.registerSchema(RestService.java:320)
at io.confluent.kafka.schemaregistry.client.rest.RestService.registerSchema(RestService.java:312)
at io.confluent.kafka.schemaregistry.client.rest.RestService.registerSchema(RestService.java:307)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.registerAndGetId(CachedSchemaRegistryClient.java:114)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.register(CachedSchemaRegistryClient.java:153)
at io.confluent.kafka.serializers.AbstractKafkaAvroSerializer.serializeImpl(AbstractKafkaAvroSerializer.java:79)
at io.confluent.connect.avro.AvroConverter$Serializer.serialize(AvroConverter.java:116)
at io.confluent.connect.avro.AvroConverter.fromConnectData(AvroConverter.java:75)
at io.confluent.ksql.serde.connect.KsqlConnectSerializer.serialize(KsqlConnectSerializer.java:44)
at io.confluent.ksql.serde.connect.KsqlConnectSerializer.serialize(KsqlConnectSerializer.java:27)
at org.apache.kafka.common.serialization.ExtendedSerializer$Wrapper.serialize(ExtendedSerializer.java:65)
at org.apache.kafka.common.serialization.ExtendedSerializer$Wrapper.serialize(ExtendedSerializer.java:55)
at org.apache.kafka.clients.producer.KafkaProducer.doSend(KafkaProducer.java:854)
at org.apache.kafka.clients.producer.KafkaProducer.send(KafkaProducer.java:816)
at io.confluent.ksql.datagen.DataGenProducer.populateTopic(DataGenProducer.java:94)
at io.confluent.ksql.datagen.DataGen.main(DataGen.java:100)

编辑3
因为某种原因，即使我用ksql datagen生成avro数据，我仍然在kafka connect上收到一个json序列化错误。 `docker-compose exec ksql-datagen ksql-datagen schema=/impressions.avro format=avro schemaRegistryUrl=http://schema-registry:8081 key=impressionid topic=test_hdfs maxInterval=1000 \ propertiesFile=/etc/ksql/datagen.properties bootstrap-server=broker:9092` ```
curl -X POST \
  -H "Content-Type: application/json" \
  --data '{
  "name": "hdfs-sink",
  "config": {
    "connector.class": "io.confluent.connect.hdfs.HdfsSinkConnector",
    "format.class": "io.confluent.connect.hdfs.avro.AvroFormat",
    "tasks.max": "1",
    "schema.compatibility": "FULL",
    "topics": "test_hdfs",
    "hdfs.url": "hdfs://cdh.nuvo.app:8020",
    "flush.size": "3",
    "name": "hdfs-sink"
  }}' \
  http://kafka.nuvo.app:8083/connectors

架构注册表配置


# Bootstrap Kafka servers. If multiple servers are specified, they should be comma-separated.

bootstrap.servers=localhost:9092

# The converters specify the format of data in Kafka and how to translate it into Connect data.

# Every Connect user will need to configure these based on the format they want their data in

# when loaded from or stored into Kafka

key.converter=io.confluent.connect.avro.AvroConverter
key.converter.schema.registry.url=http://localhost:8081
value.converter=io.confluent.connect.avro.AvroConverter
value.converter.schema.registry.url=http://localhost:8081

# The internal converter used for offsets and config data is configurable and must be specified,

# but most users will always want to use the built-in default. Offset and config data is never

# visible outside of Connect in this format.

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

Kafka连接日志：

org.apache.kafka.connect.errors.ConnectException: Tolerance exceeded in error handler
    at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndHandleError(RetryWithToleranceOperator.java:178)
    at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execute(RetryWithToleranceOperator.java:104)
    at org.apache.kafka.connect.runtime.WorkerSinkTask.convertAndTransformRecord(WorkerSinkTask.java:510)
    at org.apache.kafka.connect.runtime.WorkerSinkTask.convertMessages(WorkerSinkTask.java:490)
    at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:321)
    at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:225)
    at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:193)
    at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:175)
    at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:219)
    at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.kafka.connect.errors.DataException: Converting byte[] to Kafka Connect data failed due to serialization error: 
    at org.apache.kafka.connect.json.JsonConverter.toConnectData(JsonConverter.java:334)
    at org.apache.kafka.connect.runtime.WorkerSinkTask.lambda$convertAndTransformRecord$0(WorkerSinkTask.java:510)
    at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndRetry(RetryWithToleranceOperator.java:128)
    at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndHandleError(RetryWithToleranceOperator.java:162)
    ... 13 more
Caused by: org.apache.kafka.common.errors.SerializationException: com.fasterxml.jackson.core.JsonParseException: Unrecognized token 'impression_816': was expecting ('true', 'false' or 'null')
 at [Source: (byte[])"impression_816"; line: 1, column: 29]
Caused by: com.fasterxml.jackson.core.JsonParseException: Unrecognized token 'impression_816': was expecting ('true', 'false' or 'null')
 at [Source: (byte[])"impression_816"; line: 1, column: 29]

编辑4

[2018-08-22 02:05:51,140] ERROR WorkerSinkTask{id=hdfs-sink-0} Task threw an uncaught and unrecoverable exception (org.apache.kafka.connect.runtime.WorkerTask)
org.apache.kafka.connect.errors.ConnectException: Tolerance exceeded in error handler
    at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndHandleError(RetryWithToleranceOperator.java:178)
    at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execute(RetryWithToleranceOperator.java:104)
    at org.apache.kafka.connect.runtime.WorkerSinkTask.convertAndTransformRecord(WorkerSinkTask.java:510)
    at org.apache.kafka.connect.runtime.WorkerSinkTask.convertMessages(WorkerSinkTask.java:490)
    at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:321)
    at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:225)
    at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:193)
    at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:175)
    at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:219)
    at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.kafka.connect.errors.DataException: test_hdfs1
    at io.confluent.connect.avro.AvroConverter.toConnectData(AvroConverter.java:97)
    at org.apache.kafka.connect.runtime.WorkerSinkTask.lambda$convertAndTransformRecord$0(WorkerSinkTask.java:510)
    at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndRetry(RetryWithToleranceOperator.java:128)
    at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndHandleError(RetryWithToleranceOperator.java:162)
    ... 13 more
Caused by: org.apache.kafka.common.errors.SerializationException: Error deserializing Avro message for id -1
Caused by: org.apache.kafka.common.errors.SerializationException: Unknown magic byte!
[2018-08-22 02:05:51,141] ERROR WorkerSinkTask{id=hdfs-sink-0} Task is being killed and will not recover until manually restarted (org.apache.kafka.connect.runtime.WorkerTask)
[2018-08-22 02:05:51,243] INFO Publish thread interrupted for client_id=consumer-8 client_type=CONSUMER session= cluster=lUWD_PR0RsiTkaunoUrUfA group=connect-hdfs-sink (io.confluent.monitoring.clients.interceptor.MonitoringInterceptor)
hdfsapache-kafkadockerapache-kafka-connectconfluent-platform

1条答案

按热度按时间
ohfgkhjo

ohfgkhjo1#

你准备好了吗 ksql-datagen ... format=json 但该错误表明您已在kafka connect中设置了avroconverter

Caused by: org.apache.kafka.common.errors.SerializationException: Error deserializing Avro message for id -1
Caused by: org.apache.kafka.common.errors.SerializationException: Unknown magic byte!

看看你的文件。。。

CONNECT_KEY_CONVERTER: io.confluent.connect.avro.AvroConverter
  CONNECT_KEY_CONVERTER_SCHEMA_REGISTRY_URL: 'http://schema-registry:8081'
  CONNECT_VALUE_CONVERTER: io.confluent.connect.avro.AvroConverter
  CONNECT_VALUE_CONVERTER_SCHEMA_REGISTRY_URL: 'http://schema-registry:8081'

如果要生成avro数据，请参阅 ksql-datagen 文件。
尽管您正在生成json，但目前，这并不是您配置的hdfs上的内容。
avro是hdfs connect的默认输出格式；如果您参考配置文档。 format.class 将数据写入存储时要使用的格式类。格式类实现 io.confluent.connect.storage.format.Format 接口。
类型：类
违约： io.confluent.connect.hdfs.avro.AvroFormat 重要性：高
默认情况下，这些类可用：
io.confluent.connect.hdfs.avro.AvroFormat io.confluent.connect.hdfs.json.JsonFormat io.confluent.connect.hdfs.parquet.ParquetFormat io.confluent.connect.hdfs.string.StringFormat 如果您不使用jsonformat，我相信为了从json输出avro，您需要这样一个json记录

{
  "schema": {...}
  "payload": {...}
}

否则，无法从json记录推断avro模式。
通过您的一系列编辑，我认为您转向了生成avro，但是使用jsonconverter是基于我上面提到的，这不是我的建议。基本上，转换器类类型必须与生产者数据匹配，并定义使用者反序列化器
对于id-1的序列化错误，基本上是说键或值中的数据不是avro。现在，ksql不能与avro密钥一起工作，所以我敢打赌密钥反序列化程序失败了。要解决这个问题，设置

key.converter=org.apache.kafka.connect.converters.ByteArrayConverter
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