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[英]Spring Kafka: applying KafkaListenerErrorHandler to all KafkaListener
[英]What is the simplest Spring Kafka @KafkaListener configuration to consume all records from a set of compacted topics?
我的 spring application.yaml 文件中定义了几个压缩的 Kafka 主题( topic1
, topic2
,..., topicN
)的名称。 我希望能够在启动时使用每个主题分区上的所有记录。 事先不知道每个主题的分区数。
官方 Spring Kafka 2.6.1 文档建议最简单的方法是实现一个 PartitionFinder 并在 SpEL 表达式中使用它来动态查找主题的分区数,然后在分区属性中使用*
通配符@TopicPartition
注释的(请参阅@KafkaListener 注释文档中的显式分区分配):
@KafkaListener(topicPartitions = @TopicPartition(topic = "compacted",
partitions = "#{@finder.partitions('compacted')}"),
partitionOffsets = @PartitionOffset(partition = "*", initialOffset = "0")))
public void listen(@Header(KafkaHeaders.RECEIVED_MESSAGE_KEY) String key, String payload) {
// process record
}
由于我有几个主题,因此生成的代码非常冗长:
@KafkaListener(topicPartitions = {
@TopicPartition(
topic = "${topic1}",
partitions = "#{@finder.partitions('${topic1}')}",
partitionOffsets = @PartitionOffset(partition = "*", initialOffset = "0")
),
@TopicPartition(
topic = "${topic2}",
partitions = "#{@finder.partitions('${topic2}')}",
partitionOffsets = @PartitionOffset(partition = "*", initialOffset = "0")
),
// and many more @TopicPartitions...
@TopicPartition(
topic = "${topicN}",
partitions = "#{@finder.partitions('${topicN}')}",
partitionOffsets = @PartitionOffset(partition = "*", initialOffset = "0")
)
})
public void listen(@Header(KafkaHeaders.RECEIVED_MESSAGE_KEY) String key, String payload) {
// process record
}
如何通过使用动态生成的@TopicPartion
数组(我的 N 个主题中的每一个)配置@KafkaListener
注释的topicPartitions
属性来使这种重复配置更加简洁?
目前无法使用@KafkaListener
- 请在 GitHub 上打开一个新功能问题。
我能想到的唯一解决方法是以编程方式从容器工厂创建一个监听器容器并创建一个监听器适配器。 如果您需要,我可以提供示例。
编辑
这是一个例子:
@SpringBootApplication
public class So64022266Application {
public static void main(String[] args) {
SpringApplication.run(So64022266Application.class, args);
}
@Bean
public NewTopic topic1() {
return TopicBuilder.name("so64022266-1").partitions(10).replicas(1).build();
}
@Bean
public NewTopic topic2() {
return TopicBuilder.name("so64022266-2").partitions(10).replicas(1).build();
}
@Bean
ConcurrentMessageListenerContainer<String, String> container(@Value("${topics}") String[] topics,
PartitionFinder finder,
ConcurrentKafkaListenerContainerFactory<String, String> factory,
MyListener listener) throws Exception {
MethodKafkaListenerEndpoint<String, String> endpoint = endpoint(topics, finder, listener);
ConcurrentMessageListenerContainer<String, String> container = factory.createListenerContainer(endpoint);
container.getContainerProperties().setGroupId("someGroup");
return container;
}
@Bean
MethodKafkaListenerEndpoint<String, String> endpoint(String[] topics, PartitionFinder finder,
MyListener listener) throws NoSuchMethodException {
MethodKafkaListenerEndpoint<String, String> endpoint = new MethodKafkaListenerEndpoint<>();
endpoint.setBean(listener);
endpoint.setMethod(MyListener.class.getDeclaredMethod("listen", String.class, String.class));
endpoint.setTopicPartitions(Arrays.stream(topics)
.flatMap(topic -> finder.partitions(topic))
.toArray(TopicPartitionOffset[]::new));
endpoint.setMessageHandlerMethodFactory(methodFactory());
return endpoint;
}
@Bean
DefaultMessageHandlerMethodFactory methodFactory() {
return new DefaultMessageHandlerMethodFactory();
}
@Bean
public ApplicationRunner runner(KafkaTemplate<String, String> template,
ConcurrentMessageListenerContainer<String, String> container) {
return args -> {
System.out.println(container.getAssignedPartitions());
template.send("so64022266-1", "key1", "foo");
template.send("so64022266-2", "key2", "bar");
};
}
}
@Component
class MyListener {
public void listen(@Header(KafkaHeaders.RECEIVED_MESSAGE_KEY) String key, String payload) {
System.out.println(key + ":" + payload);
}
}
@Component
class PartitionFinder {
private final ConsumerFactory<String, String> consumerFactory;
public PartitionFinder(ConsumerFactory<String, String> consumerFactory) {
this.consumerFactory = consumerFactory;
}
public Stream<TopicPartitionOffset> partitions(String topic) {
System.out.println("+" + topic + "+");
try (Consumer<String, String> consumer = consumerFactory.createConsumer()) {
return consumer.partitionsFor(topic).stream()
.map(part -> new TopicPartitionOffset(topic, part.partition(), 0L));
}
}
}
topics=so64022266-1, so64022266-2
如果您需要处理逻辑删除记录( null
值),我们需要增强处理程序工厂; 我们目前不公开框架的处理程序工厂。
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