Question

我想编写一个小型的Kafka Streams应用程序，该应用程序可以减少输入流的时间窗口，对值进行一些映射，然后将所得的toStream（）更改日志发送到另一个主题。使用我的代码，在toStream（）操作中出现以下错误：

Compilation failure
[ERROR] StreamFilter.java:[39,86] incompatible types: org.apache.kafka.streams.kstream.KStream<org.apache.kafka.streams.kstream.Windowed<java.lang.Integer>,filterExample.SensorMessage> cannot be converted to org.apache.kafka.streams.kstream.KStream<java.lang.Integer,filterExample.SensorMessage>

我在某处读到默认的Serdes可能是问题所在，但到目前为止，用Consumed.with显式包括它们并不能解决问题。

public static void runStreamFilter(String broker) throws Exception {
  final SensorMessageSerializer serializer = new SensorMessageSerializer();
  final SensorMessageDeserializer deserializer = new SensorMessageDeserializer();
  Properties props = new Properties();
  props.put(StreamsConfig.APPLICATION_ID_CONFIG, "stream-filter");
  props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, broker);
  props.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.Integer().getClass());
  props.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.serdeFrom(serializer, deserializer));

  final StreamsBuilder builder = new StreamsBuilder();

  final KStream<Integer, SensorMessage> input = builder.stream(KafkaConstants.TOPIC_IN, Consumed.with(Serdes.Integer(), Serdes.serdeFrom(serializer, deserializer)));
  final KStream<Integer, SensorMessage> output = input
    .filter((k,v) -> v.getValue() > 19) 
    .groupByKey(Grouped.with(Serdes.Integer(), Serdes.serdeFrom(serializer, deserializer)))
    .windowedBy(TimeWindows.of(Duration.ofMillis(500)))
    .reduce((aggValue, newValue) -> avgReducer(aggValue, newValue))
    .mapValues(value -> latencyMapper(value))
    .toStream();


  output.to(KafkaConstants.TOPIC_OUT);

Answer 1

代码 .windowedBy(TimeWindows.of(Duration.ofMillis(500))).reduce(..) 返回KTable<Windowed<K>, V>。

为了将结果转换为KStream<Integer, SensorMessage>，需要从Windowed对象中提取值，因此需要在toStream()之后添加以下代码：

.map((key, value) -> KeyValue.pair(key.key(), value));

toStream（）在窗口KTable上不起作用

1 个答案: