我有一个简单的类来使用来自kafka服务器的消息。大多数代码都是从org.apache.kafka.clients.consumer.KafkaConsumer.java的注释中复制的。
public class Demo {
public static void main(String[] args) {
Properties props = new Properties();
props.put("metadata.broker.list", "192.168.144.10:29092");
props.put("group.id", "test");
props.put("session.timeout.ms", "1000");
props.put("enable.auto.commit", "true");
props.put("auto.commit.interval.ms", "10000");
KafkaConsumer<byte[], byte[]> consumer = new KafkaConsumer<byte[], byte[]>(props);
consumer.subscribe("voltdbexportAUDIT", "voltdbexportTEST");
boolean isRunning = true;
while (isRunning) {
Map<String, ConsumerRecords<byte[], byte[]>> records = consumer.poll(100);
process(records);
}
consumer.close();
}
private static Map<TopicPartition, Long> process(Map<String, ConsumerRecords<byte[], byte[]>> records) {
Map<TopicPartition, Long> processedOffsets = new HashMap<>();
for (Map.Entry<String, ConsumerRecords<byte[], byte[]>> recordMetadata : records.entrySet()) {
List<ConsumerRecord<byte[], byte[]>> recordsPerTopic = recordMetadata.getValue().records();
for (int i = 0; i < recordsPerTopic.size(); i++) {
ConsumerRecord<byte[], byte[]> record = recordsPerTopic.get(i);
// process record
try {
processedOffsets.put(record.topicAndPartition(), record.offset());
} catch (Exception e) {
e.printStackTrace();
}
}
}
return processedOffsets;
}
}
我正在使用&#39; org.apache.kafka:kafka-clients:0.8.2.0&#39;。它抛出异常
Exception in thread "main" org.apache.kafka.common.config.ConfigException: Missing required configuration "key.deserializer" which has no default value.
at org.apache.kafka.common.config.ConfigDef.parse(ConfigDef.java:124)
at org.apache.kafka.common.config.AbstractConfig.<init>(AbstractConfig.java:48)
at org.apache.kafka.clients.consumer.ConsumerConfig.<init>(ConsumerConfig.java:194)
at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:430)
at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:413)
at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:400)
at kafka.integration.Demo.main(Demo.java:26)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:140)
我应该如何配置key.deserializer?
答案 0 :(得分:14)
这是开箱即用的,没有实现自己的序列化程序
Properties props = new Properties();
props.put("bootstrap.servers", "localhost:9092");
props.put("group.id", "test");
props.put("enable.auto.commit", "true");
props.put("auto.commit.interval.ms", "1000");
props.put("session.timeout.ms", "30000");
props.put("key.deserializer","org.apache.kafka.common.serialization.StringDeserializer");
props.put("value.deserializer","org.apache.kafka.common.serialization.StringDeserializer");
props.put("partition.assignment.strategy", "range");
答案 1 :(得分:2)
对于键,请使用以下其中一项
字符串键
properties.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
JSON密钥
properties.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, JsonDeserializer.class);
Avro Key
properties.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, io.confluent.kafka.serializers.KafkaAvroDeserializer.class);
ByteArray键
properties.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, ByteArrayDeserializer.class);
同样,将以下其中一项用于您的值反序列化器:
字符串值
properties.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
JSON值
properties.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, JsonDeserializer.class);
总价值
properties.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, io.confluent.kafka.serializers.KafkaAvroDeserializer.class);
ByteArray值
properties.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, ByteArrayDeserializer.class);
请注意,对于Avro反序列器,您将需要以下依赖项:
<dependency>
<groupId>io.confluent</groupId>
<artifactId>kafka-avro-serializer</artifactId>
<version>${confluent.version}</version>
</dependency>
<dependency>
<groupId>org.apache.avro</groupId>
<artifactId>avro</artifactId>
<version>${avro.version}</version>
</dependency>
答案 2 :(得分:1)
您需要设置属性:
props.put("serializer.class","my.own.serializer.StringSupport");
props.put("key.serializer.class","my.own.serializer.LongSupport");
在您的main方法中,以便将它们传递给生产者的构造函数。当然,您必须指定正确的编码器。序列化程序类将消息转换为字节数组,key.serializer类将键对象转换为字节数组。一般来说,你也可以让他们改变这个过程。
答案 3 :(得分:1)
您正在处理键和值参数的字节数组。 所以需要Byte序列化器和解串器。
您可以添加属性
反序列化
props.put("key.deserializer","org.apache.kafka.common.serialization.ByteArrayDeserializer");
For Serialize
props.put("value.deserializer","org.apache.kafka.common.serialization.ByteArraySerializer");
答案 4 :(得分:0)
确保传递反序列化类的字符串值,而不是类对象(这是我的错误)。
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG,
Serdes.String().deserializer().getClass().getName());
当您忘记.getName()
时,您将得到相同的例外,在这种情况下,这会产生误导。