春季卡夫卡和卡夫卡流

时间:2018-08-25 13:48:17

标签: java spring-boot apache-kafka apache-kafka-streams spring-kafka

在Spring Boot应用程序中,我正在尝试配置Kafka流。有了简单的Kafka主题,一切工作都很好,但是我无法使用Spring Kafka Streams。

这是我的配置:

@Configuration
@EnableKafkaStreams
public class KafkaStreamsConfig {

    @Value("${spring.kafka.bootstrap-servers}")
    private String bootstrapServers;

    @Bean(name = KafkaStreamsDefaultConfiguration.DEFAULT_STREAMS_CONFIG_BEAN_NAME)
    public StreamsConfig kStreamsConfigs() {
        Map<String, Object> props = new HashMap<>();
        props.put(StreamsConfig.APPLICATION_ID_CONFIG, "testStreams");
        props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
        props.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.Integer().getClass().getName());
        props.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
        props.put(StreamsConfig.DEFAULT_TIMESTAMP_EXTRACTOR_CLASS_CONFIG, WallclockTimestampExtractor.class.getName());
        return new StreamsConfig(props);
    }

    @Bean
    public KStream<String, String> kStream(StreamsBuilder kStreamBuilder) {

        KStream<String, String> stream = kStreamBuilder.stream("post.sent");

        stream.mapValues(post -> post.toString()).to("streamingTopic2");

        stream.print();

        return stream;
    }

    @Bean
    public NewTopic kafkaTopicTest() {
        return new NewTopic("streamingTopic2", 1, (short) 1);
    }

    @KafkaListener(topics = "streamingTopic2", containerFactory = "kafkaListenerContainerFactory")
    public void testListener(ConsumerRecord<String, String> consumerRecord, Acknowledgment ack) {

        String value = consumerRecord.value();

        System.out.println("VALUE: " + value);

        ack.acknowledge();
    }

}

我想基于post.sent主题创建流。要应用简单的转换并发送来自此流的消息以测试streamingTopic2主题。

现在,当我将消息发送到post.sent主题时,无法立即在“ streamingTopic2”中获取该消息,但是在我的应用程序重新启动后,它启动失败并出现以下错误:

org.apache.kafka.common.errors.SerializationException: Error deserializing key/value for partition streamingTopic2-0 at offset 0. If needed, please seek past the record to continue consumption.
Caused by: org.apache.kafka.common.errors.SerializationException: Can't deserialize data [[123, 34, 105, 100, 34, 58, 34, 53, 98, 56, 49, 53, 99, 97, 51, 52, 102, 97, 101, 102, 48, 52, 55, 97, 52, 48, 48, 100, 52, 50, 97, 34, 44, 34, 115, 116, 97, 116, 117, 115, 34, 58, 34, 83, 69, 78, 84, 34, 44, 34, 101, 120, 116, 101, 114, 110, 97, 108, 80, 111, 115, 116, 73, 100, 34, 58, 34, 48, 53, 54, 97, 57, 51, 49, 101, 45, 56, 97, 53, 100, 45, 52, 100, 52, 52, 45, 97, 101, 50, 48, 45, 53, 99, 51, 53, 52, 56, 57, 52, 98, 97, 53, 49, 34, 44, 34, 99, 104, 97, 116, 78]] from topic [streamingTopic2]
Caused by: com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot deserialize instance of `java.lang.String` out of START_OBJECT token
 at [Source: (byte[])"{"id":"5b815ca34faef047a400d42a","status":"SENT","externalPostId":"056a931e-8a5d-4d44-ae20-5c354894ba51","chatName":.......":"[truncated 626 bytes]; line: 1, column: 1]
    at com.fasterxml.jackson.databind.exc.MismatchedInputException.from(MismatchedInputException.java:63) ~[jackson-databind-2.9.6.jar:2.9.6]
    at com.fasterxml.jackson.databind.DeserializationContext.reportInputMismatch(DeserializationContext.java:1342) ~[jackson-databind-2.9.6.jar:2.9.6]
    at com.fasterxml.jackson.databind.DeserializationContext.handleUnexpectedToken(DeserializationContext.java:1138) ~[jackson-databind-2.9.6.jar:2.9.6]
    at com.fasterxml.jackson.databind.DeserializationContext.handleUnexpectedToken(DeserializationContext.java:1092) ~[jackson-databind-2.9.6.jar:2.9.6]
    at com.fasterxml.jackson.databind.deser.std.StringDeserializer.deserialize(StringDeserializer.java:63) ~[jackson-databind-2.9.6.jar:2.9.6]
    at com.fasterxml.jackson.databind.deser.std.StringDeserializer.deserialize(StringDeserializer.java:10) ~[jackson-databind-2.9.6.jar:2.9.6]
    at com.fasterxml.jackson.databind.ObjectReader._bindAndClose(ObjectReader.java:1611) ~[jackson-databind-2.9.6.jar:2.9.6]
    at com.fasterxml.jackson.databind.ObjectReader.readValue(ObjectReader.java:1234) ~[jackson-databind-2.9.6.jar:2.9.6]
    at org.springframework.kafka.support.serializer.JsonDeserializer.deserialize(JsonDeserializer.java:248) ~[spring-kafka-2.1.8.RELEASE.jar:2.1.8.RELEASE]
    at org.springframework.kafka.support.serializer.JsonDeserializer.deserialize(JsonDeserializer.java:224) ~[spring-kafka-2.1.8.RELEASE.jar:2.1.8.RELEASE]
    at org.apache.kafka.clients.consumer.internals.Fetcher.parseRecord(Fetcher.java:967) ~[kafka-clients-1.1.0.jar:na]
    at org.apache.kafka.clients.consumer.internals.Fetcher.access$3300(Fetcher.java:93) ~[kafka-clients-1.1.0.jar:na]
    at org.apache.kafka.clients.consumer.internals.Fetcher$PartitionRecords.fetchRecords(Fetcher.java:1144) ~[kafka-clients-1.1.0.jar:na]
    at org.apache.kafka.clients.consumer.internals.Fetcher$PartitionRecords.access$1400(Fetcher.java:993) ~[kafka-clients-1.1.0.jar:na]
    at org.apache.kafka.clien

我向post.sent发送以下消息<String, Post>,其中Post是我自己的复杂类型,但是我现在不知道如何将其转换为<String, String> kStream(),以便能够在testListener()中使用它。

请提出如何使其工作的建议。

2 个答案:

答案 0 :(得分:6)

关于您的用法

  

return new DefaultKafkaConsumerFactory<>(kafkaProperties.buildConsumerProperties(), new StringDeserializer(), new JsonDeserializer<>(String.class));以定义consumerFactory bean

好吧,我不能说您如何将数据产生到主题中,但是JSON解析器失败了。

Cannot deserialize instance of `java.lang.String` out of START_OBJECT token
 at [Source: (byte[])"{"id":"5b815ca34faef047a400d42a","status":"SENT","externalPostId":"056a931e-8a5d-4d44-ae20-5c354894ba51","chatName":.......":"[truncated 626 bytes]; line: 1, column: 1]
...
at org.springframework.kafka.support.serializer.JsonDeserializer.deserialize

基于Caused by: org.apache.kafka.common.errors.SerializationException: Can't deserialize data [[123, 34, 105 ...,我想说您曾经做过byte[]生产者,而不是在生产过程中使用StringSerializerJSONSerializer进行了明确定义。

您可以使用new StringDeserializer()来解决错误,甚至在ByteArrayDeserializer中使用consumerFactory根本不执行任何转换,但是您仍然需要处理以后解析的方法将该事件放入您要操作并从中提取字段的对象中。

答案 1 :(得分:1)

要使用流,您需要执行以下操作:

@EnableBinding(MyStreamProcessor.class)

@StreamListener
    public void process(@Input("input") KTable<String,MyMessage> myMessages,
                        @Input("streammapping") KTable<String, StreamMapping> streamMessages) {
    ...
    }

interface MyStreamProcessor {
@Input("input")
KTable<?, ?> input();

@Input("streammapping")
KTable <?, ?> streamMapping();

}

,然后将您的处理代码放入方法主体中。 KStreams的工作方式相同