kafka消费者偏移量提交

  • Z时代
  • 2024-01-10
  • 分类：综合

编程

同步提交当前偏移量

把auto.commit.offset设为false,方应用程序决定何时提交偏移量,使用commitSync()方法提交偏移量最简单可靠,这个api会提交
poll()方法返回的最新偏移量,提交成功后马上返回,如果提交失败,则跑出异常

注意: commitSync()方法提交的偏移量是最新的偏移量,需要在处理完所有消息之后再调用

代码示例

    @Test
    void test() {
        Properties properties = new Properties()
        properties.put(KafkaConstants.BOOTSTRAP_SERVERS_KEY, KafkaConstants.BOOTSTRAP_SERVERS)
        properties.put(KafkaConstants.KEY_DESERIALIZER_KEY, KafkaConstants.STRING_DESERIALIZER)
        properties.put(KafkaConstants.VALUE_DESERIALIZER_KEY, KafkaConstants.STRING_DESERIALIZER)
        properties.put(KafkaConstants.KEY_GROUP_ID, KafkaConstants.DEFAULT_GROUP_ID)
        properties.put("auto.commit.offset", false)
        Consumer consumer = null
        try{
            consumer = new KafkaConsumer<String, String>(properties)
            consumer.subscribe(["test"])
            while (true){
                ConsumerRecords<String, String> records = consumer.poll(100)
                records.each {
                    println "key:${it.key()}, val:${it.value()}"
                }
                // 同步提交当前偏移量
                consumer.commitSync()
            }
        }finally {
            consumer.close()
        }
    }

异步提交当前偏移量

同步提交的不足之处在于,在Broker对请求做出相应之前,应用程序会一直阻塞,这样会限制应用程序的吞吐量.可以通过异步提交来解决这个
问题,我们只管发送提交请求,不需要等待Broker相应
commitAsync不支持重试,但是可以在其回调中实现此功能,但是需要注意提交的顺序,否则可能会导致消息的重复

代码示例

    @Test
    void test() {
        Properties properties = new Properties()
        properties.put(KafkaConstants.BOOTSTRAP_SERVERS_KEY, KafkaConstants.BOOTSTRAP_SERVERS)
        properties.put(KafkaConstants.KEY_DESERIALIZER_KEY, KafkaConstants.STRING_DESERIALIZER)
        properties.put(KafkaConstants.VALUE_DESERIALIZER_KEY, KafkaConstants.STRING_DESERIALIZER)
        properties.put(KafkaConstants.KEY_GROUP_ID, KafkaConstants.DEFAULT_GROUP_ID)
        properties.put("auto.commit.offset", false)
        Consumer consumer = null
        try{
            consumer = new KafkaConsumer<String, String>(properties)
            consumer.subscribe(["test"])
            while (true){
                ConsumerRecords<String, String> records = consumer.poll(100)
                records.each {
                    println "key:${it.key()}, val:${it.value()}"
                }
                // 异步提交当前偏移量
                consumer.commitAsync({Map<TopicPartition, OffsetAndMetadata> offsets, Exception exception ->
                })
            }
        }finally {
            consumer.close()
        }
    }

提交特定的偏移量

class Demo_4_6_2_ConsumerSpecialOffsetCommit {
    private Map<TopicPartition, OffsetAndMetadata> currentOffsets = new HashMap<>()
    @Test
    void test() {
        Properties properties = new Properties()
        properties.put(KafkaConstants.BOOTSTRAP_SERVERS_KEY, KafkaConstants.BOOTSTRAP_SERVERS)
        properties.put(KafkaConstants.KEY_DESERIALIZER_KEY, KafkaConstants.STRING_DESERIALIZER)
        properties.put(KafkaConstants.VALUE_DESERIALIZER_KEY, KafkaConstants.STRING_DESERIALIZER)
        properties.put(KafkaConstants.KEY_GROUP_ID, KafkaConstants.DEFAULT_GROUP_ID)
        properties.put("auto.commit.offset", false)
        Consumer consumer = null
        try{
            consumer = new KafkaConsumer<String, String>(properties)
            consumer.subscribe(["test"])
            while (true){
                ConsumerRecords<String, String> records = consumer.poll(100)
                records.each {
                    println "key:${it.key()}, val:${it.value()}"
                    // 记录当前偏移量
                    currentOffsets.put(
                        new TopicPartition(it.topic(), it.partition()), new OffsetAndMetadata(it.offset() + 1, "no metadata"))
                    // 提交偏移量
                    consumer.commitAsync(currentOffsets, null)
                }
            }
        }finally {
            consumer.close()
        }
    }
}

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