ConcurrentMessageListenerContainer 在分区存在时减少并发数

Question

我有一个用于向 kafka 生成消息的 Spring Boot 应用程序。 此应用程序每天在 6 个实例上以 1000 万个请求的高流量运行。 我也有一个 Spring Boot kafka 消费者应用程序。 但是这个应用程序有 2 个实例，这些实例无法消耗所有消息，因为这个应用程序正在运行单线程。 我的主题有 4 个分区，我想根据分区数执行消费者应用程序多线程。 但我不确定我的代码是否有效。

Spring Kafka Maven 依赖

<dependency>
    <groupId>org.springframework.kafka</groupId>
    <artifactId>spring-kafka</artifactId>
    <version>2.1.7.RELEASE</version>
</dependency>

配置类

@Configuration
@EnableKafka
public class KafkaListenerConfig {

    private final KafkaListenerProperties kafkaListenerProperties;

    @Bean
    public ConcurrentKafkaListenerContainerFactory<String, String> kafkaListenerContainerFactory() {
        ConcurrentKafkaListenerContainerFactory<String, String> factory =  new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory());
        factory.setConcurrency(4);
        factory.getContainerProperties().setPollTimeout(3000);
        return factory;
    }

    @Bean
    public ConsumerFactory<String, String> consumerFactory() {
        return new DefaultKafkaConsumerFactory<>(kafkaConsumerProps());
    }
    @Bean
    public Map<String, Object> kafkaConsumerProps() {
        Map<String, Object> props = new HashMap<>();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, kafkaListenerProperties.getBootstrap());
        props.put(ConsumerConfig.GROUP_ID_CONFIG, kafkaListenerProperties.getGroup());
        props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, false);
        props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "latest");
        props.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, "100");
        props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, "15000");
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        return props;
    }

}

根据我的主题的分区计数，我将并发字段设置为 4

factory.setConcurrency(4);

主题分区：

        Topic:fraudSSCALogs     PartitionCount:4        ReplicationFactor:1     Configs:
        Topic: fraudSSCALogs    Partition: 0    Leader: 62      Replicas: 62    Isr: 62
        Topic: fraudSSCALogs    Partition: 1    Leader: 166     Replicas: 166   Isr: 166
        Topic: fraudSSCALogs    Partition: 2    Leader: 270     Replicas: 270   Isr: 270
        Topic: fraudSSCALogs    Partition: 3    Leader: 167     Replicas: 167   Isr: 167

监听器类

public class SSCAReqResLogListener {

@KafkaListener(id= "consumer0",topicPartitions = {@TopicPartition(topic="${kafka.consumer.topic}", partitions = {"0"})})
public void receive1(ConsumerRecord<String, String> record) {
    proceed(record);
}

@KafkaListener(id= "consumer1",topicPartitions = {@TopicPartition(topic="${kafka.consumer.topic}", partitions = {"1"})})
public void receive2(ConsumerRecord<String, String> record) {
    proceed(record);
}

@KafkaListener(id= "consumer2",topicPartitions = {@TopicPartition(topic="${kafka.consumer.topic}", partitions = {"2"})})
public void receive3(ConsumerRecord<String, String> record) {
    proceed(record);
}

@KafkaListener(id= "consumer3",topicPartitions = {@TopicPartition(topic="${kafka.consumer.topic}", partitions = {"3"})})
public void receive4(ConsumerRecord<String, String> record) {
    proceed(record);
}

private synchronized void proceed(ConsumerRecord<String, String> record) {
    log.info("Message Received: Topic: {}, Partition: {}, Value: {}", record.topic(), record.partition(), record.value());
}

}

当我的应用程序运行 spring 时发出警告；

WARN  [main] org.springframework.kafka.listener.ConcurrentMessageListenerContainer: When specific partitions are provided, the concurrency must be less than or equal to the number of partitions; reduced from 4 to 1

我的配置有什么问题？ 我能做些什么来解决这个警告？

Answer 1

当您明确定义了分区时， concurrency只能设置为小于或等于分区数的数字。

您只为每个主题定义了一个分区，因此并发只能设置为1 。 代码健全性检查这一点并自动降低并发级别并给你一个警告。

@KafkaListener(id= "consumer0",topicPartitions = {@TopicPartition(
    topic="${kafka.consumer.topic}",
    partitions = {"0"}   // <-- Only one partition
)})

多个分区的配置如下：

@KafkaListener(id= "consumer0",topicPartitions = {@TopicPartition(
    topic="${kafka.consumer.topic}",
    partitions = {"0", "1", "2", "3" }
)})