toStream() 不适用于 Windowed KTable
toStream() doesn't work on Windowed KTable
我想编写一个小型 Kafka Streams 应用程序,它可以减少输入流的时间 windows,对值进行一些映射,然后将 toStream() 的结果更改日志发送到另一个话题。
使用我的代码,我在 toStream() 操作中收到以下错误:
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
明确包含它们并没有解决问题。
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);
代码
.windowedBy(TimeWindows.of(Duration.ofMillis(500))).reduce(..)
returns KTable<Windowed<K>, V>
.
为了将你的结果转换为KStream<Integer, SensorMessage>
,你需要从Windowed
对象中提取值,所以你需要在toStream()
之后添加如下代码:
.map((key, value) -> KeyValue.pair(key.key(), value));
我想编写一个小型 Kafka Streams 应用程序,它可以减少输入流的时间 windows,对值进行一些映射,然后将 toStream() 的结果更改日志发送到另一个话题。 使用我的代码,我在 toStream() 操作中收到以下错误:
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
明确包含它们并没有解决问题。
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);
代码
.windowedBy(TimeWindows.of(Duration.ofMillis(500))).reduce(..)
returns KTable<Windowed<K>, V>
.
为了将你的结果转换为KStream<Integer, SensorMessage>
,你需要从Windowed
对象中提取值,所以你需要在toStream()
之后添加如下代码:
.map((key, value) -> KeyValue.pair(key.key(), value));