kafka的auto.offset.reset详解与测试

1. 取值及定义# auto.offset.reset有以下三个可选值：

latest (默认)
earliest
none
三者均有共同定义：
对于同一个消费者组，若已有提交的offset，则从提交的offset开始接着消费

意思就是，只要这个消费者组消费过了，不管auto.offset.reset指定成什么值，效果都一样，每次启动都是已有的最新的offset开始接着往后消费

不同的点为：

latest（默认）：对于同一个消费者组，若没有提交过offset，则只消费消费者连接topic后，新产生的数据
就是说如果这个topic有历史消息，现在新启动了一个消费者组，且auto.offset.reset=latest，此时已存在的历史消息无法消费到，那保持消费者组运行，如果此时topic有新消息进来了，这时新消息才会被消费到。而一旦有消费，则必然会提交offset
这时候如果该消费者组意外下线了，topic仍然有消息进来，接着该消费者组在后面恢复上线了，它仍然可以从下线时的offset处开始接着消费，此时走的就是共同定义

earliest：对于同一个消费者组，若没有提交过offset，则从头开始消费
就是说如果这个topic有历史消息存在，现在新启动了一个消费者组，且auto.offset.reset=earliest，那将会从头开始消费，这就是与latest不同之处。
一旦该消费者组消费过topic后，此时就有该消费者组的offset了，这种情况下即使指定了auto.offset.reset=earliest，再重新启动该消费者组，效果是与latest一样的，也就是此时走的是共同的定义

none：对于同一个消费者组，若没有提交过offset，会抛异常
一般生产环境基本用不到该参数

1. 新建全新topic# ./kafka-topics.sh --bootstrap-server 127.0.0.1:9092 --topic TestOffsetResetTopic --partitions 1 --replication-factor 1 --create
2. 往新建的topic发送消息# 便于测试，用Java代码发送5条消息

public class TestProducer {

public static void main(String[] args) throws InterruptedException {
    Properties properties = new Properties();
    properties.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "192.168.123.124:9092");
    properties.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
    properties.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
    KafkaProducer<String, String> producer = new KafkaProducer<>(properties);

    String topic = "TestOffsetResetTopic";

    for (int i = 0; i < 5; i++) {
        String value = "message_" + i + "_" + LocalDateTime.now();
        System.out.println("Send value: " + value);
        producer.send(new ProducerRecord<>(topic, value), (metadata, exception) -> {
            if (exception == null) {
                String str = MessageFormat.format("Send success! topic: {0}, partition: {1}, offset: {2}", metadata.topic(), metadata.partition(), metadata.offset());
                System.out.println(str);
            }
        });
        Thread.sleep(500);
    }

    producer.close();
}

}

发送消息成功：

Send value: message_0_2022-09-16T18:26:15.943749600
Send success! topic: TestOffsetResetTopic, partition: 0, offset: 0
Send value: message_1_2022-09-16T18:26:17.066608900
Send success! topic: TestOffsetResetTopic, partition: 0, offset: 1
Send value: message_2_2022-09-16T18:26:17.568667200
Send success! topic: TestOffsetResetTopic, partition: 0, offset: 2
Send value: message_3_2022-09-16T18:26:18.069093600
Send success! topic: TestOffsetResetTopic, partition: 0, offset: 3
Send value: message_4_2022-09-16T18:26:18.583288100
Send success! topic: TestOffsetResetTopic, partition: 0, offset: 4

现在TestOffsetResetTopic这个topic有5条消息，且还没有任何消费者组对其进行消费过，也就是没有任何offset

1. 测试latest# 已知topic已经存在5条历史消息，此时启动一个消费者

public class TestConsumerLatest {

public static void main(String[] args) {
    Properties properties = new Properties();
    properties.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "192.168.123.124:9092");
    properties.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
    properties.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
    // 指定消费者组
    properties.put(ConsumerConfig.GROUP_ID_CONFIG, "group1");
    // 设置 auto.offset.reset
    properties.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "latest");

    String topic = "TestOffsetResetTopic";
    KafkaConsumer<String, String> consumer = new KafkaConsumer<>(properties);
    consumer.subscribe(Collections.singletonList(topic));

    // 消费数据
    while (true) {
        ConsumerRecords<String, String> consumerRecords = consumer.poll(Duration.ofSeconds(1));
        for (ConsumerRecord<String, String> consumerRecord : consumerRecords) {
            System.out.println(consumerRecord);
        }
    }

}

}

发现如上面所述，历史已存在的5条消息不会消费到，消费者没有任何动静，现在保持消费者在线

启动TestProducer再发5条消息，会发现这后面新发的，offset从5开始的消息就被消费了

ConsumerRecord(topic = TestOffsetResetTopic, partition = 0, leaderEpoch = 0, offset = 5, CreateTime = 1663329725731, serialized key size = -1, serialized value size = 39, headers = RecordHeaders(headers = [], isReadOnly = false), key = null, value = message_0_2022-09-16T20:02:05.523581500)
ConsumerRecord(topic = TestOffsetResetTopic, partition = 0, leaderEpoch = 0, offset = 6, CreateTime = 1663329726251, serialized key size = -1, serialized value size = 39, headers = RecordHeaders(headers = [], isReadOnly = false), key = null, value = message_1_2022-09-16T20:02:06.251399400)
ConsumerRecord(topic = TestOffsetResetTopic, partition = 0, leaderEpoch = 0, offset = 7, CreateTime = 1663329726764, serialized key size = -1, serialized value size = 39, headers = RecordHeaders(headers = [], isReadOnly = false), key = null, value = message_2_2022-09-16T20:02:06.764186200)
ConsumerRecord(topic = TestOffsetResetTopic, partition = 0, leaderEpoch = 0, offset = 8, CreateTime = 1663329727264, serialized key size = -1, serialized value size = 39, headers = RecordHeaders(headers = [], isReadOnly = false), key = null, value = message_3_2022-09-16T20:02:07.264268500)
ConsumerRecord(topic = TestOffsetResetTopic, partition = 0, leaderEpoch = 0, offset = 9, CreateTime = 1663329727778, serialized key size = -1, serialized value size = 39, headers = RecordHeaders(headers = [], isReadOnly = false), key = null, value = message_4_2022-09-16T20:02:07.778469700)

此时该消费者组对于这个topic的offset已经为9了，现在停掉这个消费者（下线），再启动TestProducer发5条消息，接着再启动TestConsumerLatest，会发现紧接上一次的offset之后开始，即从10继续消费

如果测试发现没动静，请多等一会，估计机器性能太差…

1. 测试earliest# 新建一个测试消费者，设置auto.offset.reset为earliest，注意groupid为新的group2，表示对于topic来说是全新的消费者组

public class TestConsumerEarliest {

public static void main(String[] args) {
    Properties properties = new Properties();
    properties.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "192.168.123.124:9092");
    properties.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
    properties.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
    // 指定消费者组
    properties.put(ConsumerConfig.GROUP_ID_CONFIG, "group2");
    // 设置 auto.offset.reset
    properties.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");

    String topic = "TestOffsetResetTopic";
    KafkaConsumer<String, String> consumer = new KafkaConsumer<>(properties);
    consumer.subscribe(Collections.singletonList(topic));

    // 消费数据
    while (true) {
        ConsumerRecords<String, String> consumerRecords = consumer.poll(Duration.ofSeconds(1));
        for (ConsumerRecord<String, String> consumerRecord : consumerRecords) {
            System.out.println(consumerRecord);
        }
    }

}

}

一运行发现已有的10条消息（最开始5条加上面一次测试又发了5条，一共10条）是可以被消费到的，且消费完后，对于这个topic就已经有了group2这个组的offset了，无论之后启停，只要groupid不变，都会从最新的offset往后开始消费

1. 测试none# 新建一个测试消费者，设置auto.offset.reset为none，注意groupid为新的group3，表示对于topic来说是全新的消费者组

public class TestConsumerNone {

public static void main(String[] args) {
    Properties properties = new Properties();
    properties.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "192.168.123.124:9092");
    properties.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
    properties.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
    // 指定消费者组
    properties.put(ConsumerConfig.GROUP_ID_CONFIG, "group3");
    // 设置 auto.offset.reset
    properties.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "none");

    String topic = "TestOffsetResetTopic";
    KafkaConsumer<String, String> consumer = new KafkaConsumer<>(properties);
    consumer.subscribe(Collections.singletonList(topic));

    // 消费数据
    while (true) {
        ConsumerRecords<String, String> consumerRecords = consumer.poll(Duration.ofSeconds(1));
        for (ConsumerRecord<String, String> consumerRecord : consumerRecords) {
            System.out.println(consumerRecord);
        }
    }

}

}

一运行，程序报错，因为对于topic来说是全新的消费者组，且又指定了auto.offset.reset为none，直接抛异常，程序退出

Exception in thread “main” org.apache.kafka.clients.consumer.NoOffsetForPartitionException: Undefined offset with no reset policy for partitions: [TestOffsetResetTopic-0]
at org.apache.kafka.clients.consumer.internals.SubscriptionState.resetInitializingPositions(SubscriptionState.java:706)
at org.apache.kafka.clients.consumer.KafkaConsumer.updateFetchPositions(KafkaConsumer.java:2434)
at org.apache.kafka.clients.consumer.KafkaConsumer.updateAssignmentMetadataIfNeeded(KafkaConsumer.java:1266)
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1231)
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1211)
at kakfa.TestConsumerNone.main(TestConsumerNone.java:31)

1. 总结# 如果topic已经有历史消息了，又需要消费这些历史消息，则必须要指定一个从未消费过的消费者组，同时指定auto.offset.reset为earliest，才可以消费到历史数据，之后就有提交offset。有了offset，无论是earliest还是latest，效果都是一样的了。 如果topic没有历史消息，或者不需要处理历史消息，那按照默认latest即可。