我用下面的命令启动了Kafka

docker run -p 2181:2181 -p 9092:9092 -p 8081:8081 --env ADVERTISED_HOST=`docker-machine ip \`docker-machine active\`` --env ADVERTISED_PORT=9092 spotify/kafka

现在，我写了一个简单的程序，把一个字符串放到Kafka的主题中。它工作没有任何问题。

props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "192.168.99.100:9092")
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer")
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer")
val producer = new KafkaProducer[String, String](props)
val inputRecord = new ProducerRecord[String, String]("test", "key2", "Hello World")
producer.send(inputRecord)
producer.close()

所以现在我修改了这个程序，并试图发送一个avro信息到Kafka的主题

val props = new Properties()
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "192.168.99.100:9092")
props.put("schema.registry.url", "http://192.168.99.100:8081")
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer")
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, "io.confluent.kafka.serializers.KafkaAvroSerializer")
val producer = new KafkaProducer[String, Object](props)
val inputRecord = createAvroRecord(schemaStr, "test1", "test1")
val producer: KafkaProducer[String, Object] = CreateProducerAvro
val producerAvroRecord = new ProducerRecord[String, Object]("test", "key1", inputRecord)
producer.send(producerAvroRecord)
producer.close()

但我犯了个错误

[error] (run-main-0) org.apache.kafka.common.errors.SerializationException: Error serializing Avro message
org.apache.kafka.common.errors.SerializationException: Error serializing Avro message
Caused by: java.net.ConnectException: Connection refused
    at java.net.PlainSocketImpl.socketConnect(Native Method)
    at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:339)
    at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:200)
    at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:182)
    at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
    at java.net.Socket.connect(Socket.java:579)
    at java.net.Socket.connect(Socket.java:528)
    at sun.net.NetworkClient.doConnect(NetworkClient.java:180)
    at sun.net.www.http.HttpClient.openServer(HttpClient.java:432)
    at sun.net.www.http.HttpClient.openServer(HttpClient.java:527)
    at sun.net.www.http.HttpClient.<init>(HttpClient.java:211)
    at sun.net.www.http.HttpClient.New(HttpClient.java:308)
    at sun.net.www.http.HttpClient.New(HttpClient.java:326)
    at sun.net.www.protocol.http.HttpURLConnection.getNewHttpClient(HttpURLConnection.java:997)
    at sun.net.www.protocol.http.HttpURLConnection.plainConnect(HttpURLConnection.java:933)
    at sun.net.www.protocol.http.HttpURLConnection.connect(HttpURLConnection.java:851)
    at sun.net.www.protocol.http.HttpURLConnection.getOutputStream(HttpURLConnection.java:1092)
    at io.confluent.kafka.schemaregistry.client.rest.utils.RestUtils.httpRequest(RestUtils.java:128)
    at io.confluent.kafka.schemaregistry.client.rest.utils.RestUtils.registerSchema(RestUtils.java:174)
    at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.registerAndGetId(CachedSchemaRegistryClient.java:51)
    at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.register(CachedSchemaRegistryClient.java:89)
    at io.confluent.kafka.serializers.AbstractKafkaAvroSerializer.serializeImpl(AbstractKafkaAvroSerializer.java:49)
    at io.confluent.kafka.serializers.KafkaAvroSerializer.serialize(KafkaAvroSerializer.java:67)
    at org.apache.kafka.clients.producer.KafkaProducer.send(KafkaProducer.java:424)
    at org.apache.kafka.clients.producer.KafkaProducer.send(KafkaProducer.java:339)
    at KafkaPublisher$.SendAvroMessage(KafkaPublisher.scala:35)
    at KafkaPublisher$.main(KafkaPublisher.scala:20)
    at KafkaPublisher.main(KafkaPublisher.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
[trace] Stack trace suppressed: run last compile:run for the full output.

2条答案

按热度按时间

fzsnzjdm1#

我假设你是在windows上工作，或者至少是在docker机器和你设置的ip地址上工作 bootstrap_servers 以及 schema.registry.url 是docker机器ip地址。
尝试删除两个选项： ADVERTISED_HOST 以及 ADVERTISED_PORT ，在这种情况下，通常您的端口绑定就足够了。

赞(0）回复(0）举报 2021-06-07

kkih6yb82#

将key.serializer和value.serializer更改为avro，如下所示。

props.put("key.serializer", io.confluent.kafka.serializers.KafkaAvroSerializer.class);
props.put("value.serializer", io.confluent.kafka.serializers.KafkaAvroSerializer.class);

如果您使用的是架构注册表，请设置架构注册表url

props.put("schema.registry.url", "http://localhost:8081");

注意：将schema registry url设置为运行主题名为“kafka value”的schema registry的服务器如果不使用上述内容，则可以放弃此设置。

无法将avro消息发布到kafka主题

2条答案

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