我使用KafkaEmbedded
(和KafkaTemplate
)进行了单元测试,但是消息顺序是随机的。有谁知道这是否合乎逻辑,以及是否可以实行担保令?
这是我的代码:
public class KafkaTest {
private static String TOPIC = "test.topic";
@ClassRule
public static KafkaEmbedded embeddedKafka = new KafkaEmbedded(1, true, TOPIC);
@Test
public void testEmbeddedKafkaSendOrder() throws Exception {
Map<String, Object> producerConfig = new HashMap<>();
producerConfig.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, embeddedKafka.getBrokersAsString());
producerConfig.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
producerConfig.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, ByteArraySerializer.class);
KafkaTemplate<String, byte[]> kafkaTemplate = new KafkaTemplate<>(new DefaultKafkaProducerFactory<>(producerConfig));
kafkaTemplate.send(TOPIC, "TEST1".getBytes()).get();
kafkaTemplate.send(TOPIC, "TEST2".getBytes()).get();
kafkaTemplate.send(TOPIC, "TEST3".getBytes()).get();
kafkaTemplate.send(TOPIC, "TEST4".getBytes()).get();
kafkaTemplate.send(TOPIC, "TEST5".getBytes()).get();
Map<String, Object> consumerConfig = new HashMap<>();
consumerConfig.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, embeddedKafka.getBrokersAsString());
consumerConfig.put(ConsumerConfig.GROUP_ID_CONFIG, "consumer-test-group");
consumerConfig.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
consumerConfig.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, ByteArrayDeserializer.class);
consumerConfig.put("auto.offset.reset", "earliest");
final Consumer<String, byte[]> consumer = new KafkaConsumer<>(consumerConfig);
embeddedKafka.consumeFromAnEmbeddedTopic(consumer, TOPIC);
ConsumerRecords<String, byte[]> records = consumer.poll(100L);
// Tests
final Iterator<ConsumerRecord<String, byte[]>> recordIterator = records.iterator();
while (recordIterator.hasNext()) {
System.out.println("received:" + new String(recordIterator.next().value()));
}
}
例如,此代码打印出来(但顺序可以更改):
received:TEST2
received:TEST4
received:TEST1
received:TEST3
received:TEST5
答案 0 :(得分:2)
在Kafka中,可以确保在同一分区上的消息顺序相同,但在主题上却不相同。
Note that as a topic typically has multiple partitions, there is
no guarantee of message time-ordering across the entire topic, just within a single
partition
从书Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
中引用。
您可以采取什么措施以及如何按顺序接收消息?
选项1:
kafkaTemplate.send(TOPIC,"1", "TEST1".getBytes()).get();
kafkaTemplate.send(TOPIC,"1", "TEST2".getBytes()).get();
kafkaTemplate.send(TOPIC,"1", "TEST3".getBytes()).get();
kafkaTemplate.send(TOPIC,"1", "TEST4".getBytes()).get();
kafkaTemplate.send(TOPIC,"1", "TEST5".getBytes()).get();
这样,对于每个值,您将发送相同的键“ 1”。 Kafka将根据您的密钥选择分区。由于所有键都是相同的,因此所有消息都将进入同一分区,您将按顺序接收记录。
选项2: 以这种方式初始化KafkaEmbedded:
new KafkaEmbedded(1, true,1, TOPIC);
通过这种方式,您告诉kafka,对于该主题,您只希望有一个分区,因此每条记录都将转到该分区。