Kafka + Spring Batch 监听器刷新批处理 [英] Kafka + Spring Batch Listener Flush Batch

问题描述

使用 Kafka 代理:1.0.1spring-kafka: 2.1.6.RELEASE

我正在使用具有以下设置的批量消费者:

//其他设置不显示..props.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, "100");

我以如下方式使用 spring 监听器:

 @KafkaListener(topics = "${topics}", groupId = "${consumer.group.id}")public void receive(final List data,@Header(KafkaHeaders.RECEIVED_PARTITION_ID) final List分区，@Header(KafkaHeaders.RECEIVED_TOPIC) 设置话题，@Header(KafkaHeaders.OFFSET) 最终列表offsets) {//......代码...... }

我总是发现有几条消息保留在批处理中，而在我的侦听器中没有收到.似乎如果剩余的消息小于批处理大小，则不会消耗它(可能在内存中并发布给我的听众).有什么方法可以设置在一段时间间隔后自动刷新批处理，以避免消息不被刷新?用批量消费者处理这种情况的最佳方法是什么?

解决方案

我刚刚运行了一个测试，没有任何问题...

@SpringBootApplication公共类 So50370851Application {公共静态无效主(字符串 [] args){SpringApplication.run(So50370851Application.class, args);}@豆角，扁豆公共 ApplicationRunner 运行程序(KafkaTemplate 模板){返回参数 ->{for (int i = 0; i <230; i++) {template.send("so50370851", "foo" + i);}};}@KafkaListener(id = "foo", 主题 = "so50370851")public void listen(List in) {System.out.println(in.size());}@豆角，扁豆公共新话题话题(){return new NewTopic("so50370851", 1, (short) 1);}}

和

spring.kafka.consumer.auto-offset-reset=earliestspring.kafka.consumer.enable-auto-commit=falsespring.kafka.consumer.max-poll-records=100spring.kafka.listener.type=batch

和

10010030

<块引用>

此外，调试日志在一段时间后显示它正在轮询和获取 0 条记录(并且一遍又一遍地重复).

这意味着问题出在发送方.

Using Kafka Broker: 1.0.1 spring-kafka: 2.1.6.RELEASE

I'm using a batched consumer with the following settings:

// Other settings are not shown..
props.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, "100");

I use spring listener in the following way:

 @KafkaListener(topics = "${topics}", groupId = "${consumer.group.id}")
    public void receive(final List<String> data,
                        @Header(KafkaHeaders.RECEIVED_PARTITION_ID) final List<Integer> partitions,
                        @Header(KafkaHeaders.RECEIVED_TOPIC) Set<String> topics,
                        @Header(KafkaHeaders.OFFSET) final List<Long> offsets) { // ......code... }

I always find the a few messages remain in the batch and not received in my listener. It appears to be that if the remaining messages are less than a batch size, it isn't consumed (may be in memory and published to my listener). Is there any way to have a setting to auto-flush the batch after a time interval so as to avoid the messages not being flushed? What's the best way to deal with such kind of situation with a batch consumer?

解决方案

I just ran a test without any problems...

@SpringBootApplication
public class So50370851Application {

    public static void main(String[] args) {
        SpringApplication.run(So50370851Application.class, args);
    }

    @Bean
    public ApplicationRunner runner(KafkaTemplate<String, String> template) {
        return args -> {
            for (int i = 0; i < 230; i++) {
                template.send("so50370851", "foo" + i);
            }
        };
    }

    @KafkaListener(id = "foo", topics = "so50370851")
    public void listen(List<String> in) {
        System.out.println(in.size());
    }

    @Bean
    public NewTopic topic() {
        return new NewTopic("so50370851", 1, (short) 1);
    }

}

and

spring.kafka.consumer.auto-offset-reset=earliest
spring.kafka.consumer.enable-auto-commit=false
spring.kafka.consumer.max-poll-records=100
spring.kafka.listener.type=batch

and

100
100
30

Also, the debug logs shows after a while that it is polling and fetching 0 records (and this gets repeated over and over).

That implies the problem is on the sending side.

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