融合BigQuerySinkConnector架构注册表错误

如何解决融合BigQuerySinkConnector架构注册表错误

我尝试使用Confluent BigQuerySinkConnector创建从Kafka到BigQuery数据管道。测试环境是一个cp-all-in-one码头工人容器。我添加了它（默认情况下不存在）。我在Google BigQuery方面所做的所有定义（我希望...）。但这只是给Schema Registry错误，使我无法理解为什么发生。我在BigQuery数据集上创建了一个名为rest_avro的表。主题架构：

{
  "fields": [
    {
      "name": "name","type": "string"
    },{
      "name": "age","type": [
        "null","int"
      ]
    }
  ],"name": "User","type": "record"
} 

我在BigQuery表上手动定义了此架构。

连接器运行时没有错误。

我的连接器配置已成功加载

[2020-08-19 13:21:46,803] INFO SinkConnectorConfig values:
    config.action.reload = restart
    connector.class = com.wepay.kafka.connect.bigquery.BigQuerySinkConnector
    errors.deadletterqueue.context.headers.enable = false
    errors.deadletterqueue.topic.name =
    errors.deadletterqueue.topic.replication.factor = 3
    errors.log.enable = false
    errors.log.include.messages = false
    errors.retry.delay.max.ms = 60000
    errors.retry.timeout = 0
    errors.tolerance = none
    header.converter = null
    key.converter = null
    name = kcbq-connect1
    tasks.max = 1
    topics = [rest-avro]
    topics.regex =
    transforms = []
    value.converter = null
 (org.apache.kafka.connect.runtime.SinkConnectorConfig)
[2020-08-19 13:21:46,803] INFO EnrichedConnectorConfig values:
    config.action.reload = restart
    connector.class = com.wepay.kafka.connect.bigquery.BigQuerySinkConnector
    errors.deadletterqueue.context.headers.enable = false
    errors.deadletterqueue.topic.name =
    errors.deadletterqueue.topic.replication.factor = 3
    errors.log.enable = false
    errors.log.include.messages = false
    errors.retry.delay.max.ms = 60000
    errors.retry.timeout = 0
    errors.tolerance = none
    header.converter = null
    key.converter = null
    name = kcbq-connect1
    tasks.max = 1
    topics = [rest-avro]
    topics.regex =
    transforms = []
    value.converter = null
 (org.apache.kafka.connect.runtime.ConnectorConfig$EnrichedConnectorConfig)
[2020-08-19 13:21:46,804] INFO [Worker clientId=connect-1,groupId=compose-connect-group] Finished starting connectors and tasks (org.apache.kafka.connect.runtime.distributed.DistributedHerder)
[2020-08-19 13:21:55,940] INFO [Consumer clientId=connector-consumer-kcbq-connect1-0,groupId=connect-kcbq-connect1] Seeking to offset 8 for partition rest-avro-0 (org.apache.kafka.clients.consumer.KafkaConsumer)

但是控制台会出现如下错误。你有什么主意吗？

[2020-08-19 13:09:45,663] ERROR Task failed with org.apache.kafka.connect.errors.ConnectException error: Exception encountered while trying to fetch latest schema metadata from Schema Registry (com.wepay.kafka.connect.bigquery.write.batch.KCBQThreadPoolExecutor)
Exception in thread "pool-3-thread-79" org.apache.kafka.connect.errors.ConnectException: Exception encountered while trying to fetch latest schema metadata from Schema Registry
    at com.wepay.kafka.connect.bigquery.schemaregistry.schemaretriever.SchemaRegistrySchemaRetriever.retrieveSchema(SchemaRegistrySchemaRetriever.java:67)
    at com.wepay.kafka.connect.bigquery.SchemaManager.updateSchema(SchemaManager.java:58)
    at com.wepay.kafka.connect.bigquery.write.row.AdaptiveBigQueryWriter.attemptSchemaUpdate(AdaptiveBigQueryWriter.java:129)
    at com.wepay.kafka.connect.bigquery.write.row.AdaptiveBigQueryWriter.performWriteRequest(AdaptiveBigQueryWriter.java:96)
    at com.wepay.kafka.connect.bigquery.write.row.BigQueryWriter.writeRows(BigQueryWriter.java:117)
    at com.wepay.kafka.connect.bigquery.write.batch.TableWriter.run(TableWriter.java:77)
    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: 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.<init>(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.getInputStream0(HttpURLConnection.java:1564)
    at sun.net.www.protocol.http.HttpURLConnection.getInputStream(HttpURLConnection.java:1492)
    at java.net.HttpURLConnection.getResponseCode(HttpURLConnection.java:480)
    at io.confluent.kafka.schemaregistry.client.rest.RestService.sendHttpRequest(RestService.java:153)
    at io.confluent.kafka.schemaregistry.client.rest.RestService.httpRequest(RestService.java:188)
    at io.confluent.kafka.schemaregistry.client.rest.RestService.getLatestVersion(RestService.java:359)
    at io.confluent.kafka.schemaregistry.client.rest.RestService.getLatestVersion(RestService.java:351)
    at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getLatestSchemaMetadata(CachedSchemaRegistryClient.java:136)
    at com.wepay.kafka.connect.bigquery.schemaregistry.schemaretriever.SchemaRegistrySchemaRetriever.retrieveSchema(SchemaRegistrySchemaRetriever.java:63)
    ... 8 more

解决方法

该问题表明BigQuery Sink Connector无法从Schema Registry容器中检索当前架构。

似乎 schemaRegistryLocation 字段在BigQuery Sink连接器属性上配置有误。很有可能已将其设置为 http：// localhost：8081 。

Confluent's repository附带的docker-compose.yml表示，在Docker化环境中，此端点需要定义为 http：// schema-registry：8081 。

借助以下属性，我设法创建了BigQuery Sink连接器；

{
  "name": "customer-connect1","config": {
    "connector.class": "com.wepay.kafka.connect.bigquery.BigQuerySinkConnector","tasks.max": "1","topics": "dbserver1.venue_organization.customers","topicsToTables": "dbserver1.venue_organization.customers=customers","sanitizeTopics": "true","autoCreateTables": "true","autoUpdateSchemas": "true","schemaRetriever": "com.wepay.kafka.connect.bigquery.schemaregistry.schemaretriever.SchemaRegistrySchemaRetriever","schemaRegistryLocation": "http://schema-registry:8081","bufferSize": "100000","maxWriteSize": "10000","tableWriteWait": "1000","project": "venue-organization","datasets": ".*=venue_organization","keyfile": " /data/venue-organization-service-account.json"
  }
}

此处有更多信息：Google BigQuery Sink Connector Configuration Properties