Spring Kafka Request Reply Partition pattern: Unable to commit offset after processing message(Spring Kafka请求回复分区模式：消息处理后无法提交偏移量)
本文介绍了Spring Kafka请求回复分区模式：消息处理后无法提交偏移量的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我正在使用Spring Kafka实现同步请求回复模式。 堆栈：
org.springframework.cloud:spring-cloud-dependencies:2020.0.2
org.springfrawork.kafka：Spring-kafka
io.confluent:kafka-avro-serializer:6.2.0
Java 11
我有一个包含5个分区的请求主题和8个分区的响应
我的响应消费者端配置如下。为简洁起见，我尚未显示生产者配置：
@Bean
public ReplyingKafkaTemplate<String, PhmsPatientSearchRequest, PhmsPatientSearchResponse> replyKafkaTemplate(ProducerFactory<String, PhmsPatientSearchRequest> pf,
KafkaMessageListenerContainer<String, PhmsPatientSearchResponse> container) {
final ReplyingKafkaTemplate<String, PhmsPatientSearchRequest, PhmsPatientSearchResponse> repl = new ReplyingKafkaTemplate<>(pf, container);
repl.setMessageConverter(new StringJsonMessageConverter());
return repl;
}
@Bean
public KafkaMessageListenerContainer replyContainer(ConsumerFactory<String, PhmsPatientSearchResponse> replyConsumerFactory) {
TopicPartitionOffset topicPartitionOffset = new TopicPartitionOffset(replyTopic, replyPartition);
ContainerProperties containerProperties = new ContainerProperties(topicPartitionOffset);
final KafkaMessageListenerContainer<String, PhmsPatientSearchResponse> msgListenerContainer = new KafkaMessageListenerContainer<>(replyConsumerFactory, containerProperties);
return msgListenerContainer;
}
@Bean
public ConsumerFactory<String, PhmsPatientSearchResponse> replyConsumerFactory() {
final DefaultKafkaConsumerFactory<String, PhmsPatientSearchResponse> consumerFactory = new DefaultKafkaConsumerFactory<>(consumerConfigs());
return consumerFactory;
}
@Bean
public Map<String, Object> consumerConfigs() {
Map<String, Object> props = new HashMap<>();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
props.put(ConsumerConfig.GROUP_ID_CONFIG, "ResponseConsumer");
props.put(ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG, 30000);
props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 40000);
props.put(ConsumerConfig.HEARTBEAT_INTERVAL_MS_CONFIG, 30000);
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, KafkaAvroDeserializer.class);
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, KafkaAvroDeserializer.class);
props.put(JsonDeserializer.TRUSTED_PACKAGES, replyDeserializerTrustedPkg);
props.put(SCHEMA_REGISTRY_URL, schemRegistryUrl);
props.put(SPECIFIC_AVRO_READER, true);
return props;
}
我的请求回复代码是
ProducerRecord<String, PhmsPatientSearchRequest> patientSearchRequestRecord = new ProducerRecord(requestTopic, phmsPatientSearchRequest);
// set reply topic in header
patientSearchRequestRecord.headers().add(new RecordHeader(KafkaHeaders.MESSAGE_KEY, messageKey.getBytes()));
//patientSearchRequestRecord.headers().add(new RecordHeader(KafkaHeaders.REPLY_TOPIC, replyTopic.getBytes()));
//patientSearchRequestRecord.headers().add(new RecordHeader(KafkaHeaders.REPLY_PARTITION, intToBytesBigEndian(replyPartition)));
// post in kafka topic
RequestReplyFuture<String, PhmsPatientSearchRequest, PhmsPatientSearchResponse> sendAndReceive = replyingKafkaTemplate.sendAndReceive(patientSearchRequestRecord);
// get consumer record
ConsumerRecord<String, PhmsPatientSearchResponse> consumerRecord = sendAndReceive.get();
org.springframework.kafka.KafkaException: Seek to current after exception; nested exception is org.apache.kafka.clients.consumer.CommitFailedException: Commit cannot be completed since the group has already rebalanced and assigned the partitions to another member. This means that the time between subsequent calls to poll() was longer than the configured max.poll.interval.ms, which typically implies that the poll loop is spending too much time message processing. You can address this either by increasing max.poll.interval.ms or by reducing the maximum size of batches returned in poll() with max.poll.records.
at org.springframework.kafka.listener.SeekToCurrentBatchErrorHandler.handle(SeekToCurrentBatchErrorHandler.java:79) ~[spring-kafka-2.7.4.jar:2.7.4]
at org.springframework.kafka.listener.RecoveringBatchErrorHandler.handle(RecoveringBatchErrorHandler.java:124) ~[spring-kafka-2.7.4.jar:2.7.4]
at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.handleConsumerException(KafkaMessageListenerContainer.java:1606) ~[spring-kafka-2.7.4.jar:2.7.4]
at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.run(KafkaMessageListenerContainer.java:1210) ~[spring-kafka-2.7.4.jar:2.7.4]
at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515) ~[na:na]
at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264) ~[na:na]
at java.base/java.lang.Thread.run(Thread.java:829) ~[na:na]
Caused by: org.apache.kafka.clients.consumer.CommitFailedException: Commit cannot be completed since the group has already rebalanced and assigned the partitions to another member. This means that the time between subsequent calls to poll() was longer than the configured max.poll.interval.ms, which typically implies that the poll loop is spending too much time message processing. You can address this either by increasing max.poll.interval.ms or by reducing the maximum size of batches returned in poll() with max.poll.records.
at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator$OffsetCommitResponseHandler.handle(ConsumerCoordinator.java:1256) ~[kafka-clients-2.7.1.jar:na]
at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator$OffsetCommitResponseHandler.handle(ConsumerCoordinator.java:1163) ~[kafka-clients-2.7.1.jar:na]
at org.apache.kafka.clients.consumer.internals.AbstractCoordinator$CoordinatorResponseHandler.onSuccess(AbstractCoordinator.java:1173) ~[kafka-clients-2.7.1.jar:na]
at org.apache.kafka.clients.consumer.internals.AbstractCoordinator$CoordinatorResponseHandler.onSuccess(AbstractCoordinator.java:1148) ~[kafka-clients-2.7.1.jar:na]
at org.apache.kafka.clients.consumer.internals.RequestFuture$1.onSuccess(RequestFuture.java:206) ~[kafka-clients-2.7.1.jar:na]
at org.apache.kafka.clients.consumer.internals.RequestFuture.fireSuccess(RequestFuture.java:169) ~[kafka-clients-2.7.1.jar:na]
at org.apache.kafka.clients.consumer.internals.RequestFuture.complete(RequestFuture.java:129) ~[kafka-clients-2.7.1.jar:na]
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient$RequestFutureCompletionHandler.fireCompletion(ConsumerNetworkClient.java:602) ~[kafka-clients-2.7.1.jar:na]
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.firePendingCompletedRequests(ConsumerNetworkClient.java:412) ~[kafka-clients-2.7.1.jar:na]
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:297) ~[kafka-clients-2.7.1.jar:na]
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:236) ~[kafka-clients-2.7.1.jar:na]
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:215) ~[kafka-clients-2.7.1.jar:na]
at org.apache.kafka.clients.consumer.internals.ConsumerCoordinator.commitOffsetsSync(ConsumerCoordinator.java:1005) ~[kafka-clients-2.7.1.jar:na]
at org.apache.kafka.clients.consumer.KafkaConsumer.commitSync(KafkaConsumer.java:1495) ~[kafka-clients-2.7.1.jar:na]
at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.doCommitSync(KafkaMessageListenerContainer.java:2656) ~[spring-kafka-2.7.4.jar:2.7.4]
at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.commitSync(KafkaMessageListenerContainer.java:2651) ~[spring-kafka-2.7.4.jar:2.7.4]
at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.commitIfNecessary(KafkaMessageListenerContainer.java:2637) ~[spring-kafka-2.7.4.jar:2.7.4]
at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.processCommits(KafkaMessageListenerContainer.java:2451) ~[spring-kafka-2.7.4.jar:2.7.4]
at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.pollAndInvoke(KafkaMessageListenerContainer.java:1235) ~[spring-kafka-2.7.4.jar:2.7.4]
at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.run(KafkaMessageListenerContainer.java:1161) ~[spring-kafka-2.7.4.jar:2.7.4]
... 3 common frames omitted
如果我不使用TopicPartitionOffset，则我的使用者将侦听响应主题中的所有分区，并且没有问题。
请求有关此问题的帮助。
推荐答案
我刚刚复制了您的代码(但使用了String)，它按预期工作...
@SpringBootApplication
public class So68461640Application {
public static void main(String[] args) {
SpringApplication.run(So68461640Application.class, args);
}
@Bean
public NewTopic topic() {
return TopicBuilder.name("so68461640").partitions(5).replicas(1).build();
}
@Bean
public NewTopic reply() {
return TopicBuilder.name("so68461640.replies").partitions(8).replicas(1).build();
}
@Bean
public ReplyingKafkaTemplate<String, String, String> replyKafkaTemplate(ProducerFactory<String, String> pf,
KafkaMessageListenerContainer<String, String> container) {
final ReplyingKafkaTemplate<String, String, String> repl = new ReplyingKafkaTemplate<>(
pf, container);
// repl.setMessageConverter(new StringJsonMessageConverter());
return repl;
}
@Bean
public KafkaMessageListenerContainer replyContainer(
ConsumerFactory<String, String> replyConsumerFactory) {
TopicPartitionOffset topicPartitionOffset = new TopicPartitionOffset("so68461640.replies", 3);
ContainerProperties containerProperties = new ContainerProperties(topicPartitionOffset);
final KafkaMessageListenerContainer<String, String> msgListenerContainer = new KafkaMessageListenerContainer<>(
replyConsumerFactory, containerProperties);
return msgListenerContainer;
}
@Bean
public ConsumerFactory<String, String> replyConsumerFactory() {
final DefaultKafkaConsumerFactory<String, String> consumerFactory = new DefaultKafkaConsumerFactory<>(
consumerConfigs());
return consumerFactory;
}
@Bean
public Map<String, Object> consumerConfigs() {
Map<String, Object> props = new HashMap<>();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
props.put(ConsumerConfig.GROUP_ID_CONFIG, "ResponseConsumer");
props.put(ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG, 30000);
props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 40000);
props.put(ConsumerConfig.HEARTBEAT_INTERVAL_MS_CONFIG, 30000);
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
return props;
}
@KafkaListener(id = "so68461640", topics = "so68461640")
@SendTo
public String listen(String in) {
System.out.println(in);
return in.toUpperCase();
}
@Bean
KafkaTemplate<String, String> replyTemplate(ProducerFactory<String, String> pf) {
return new KafkaTemplate<>(pf);
}
@Bean
public ApplicationRunner runner(ReplyingKafkaTemplate<String, String, String> replyKafkaTemplate,
KafkaTemplate<String, String> replyTemplate,
ConcurrentKafkaListenerContainerFactory<?, ?> factory) {
factory.setReplyTemplate(replyTemplate);
return args -> {
RequestReplyFuture<String, String, String> future =
replyKafkaTemplate.sendAndReceive(new ProducerRecord("so68461640", 0, null, "test"));
future.getSendFuture().get(10, TimeUnit.SECONDS);
ConsumerRecord<String, String> reply = future.get(10, TimeUnit.SECONDS);
System.out.println(reply.value());
};
}
}
test
TEST
% kafka-consumer-groups --bootstrap-server localhost:9092 --describe --group ResponseConsumer
Consumer group 'ResponseConsumer' has no active members.
GROUP TOPIC PARTITION CURRENT-OFFSET LOG-END-OFFSET LAG CONSUMER-ID HOST CLIENT-ID
ResponseConsumer so68461640.replies 3 1 1 0 - - -
这篇关于Spring Kafka请求回复分区模式：消息处理后无法提交偏移量的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持编程学习网！
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本文标题为：Spring Kafka请求回复分区模式：消息处理后无法提交偏移量
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