我已经从教程中创建了示例kafka streams应用程序：

public static void main(String[] args) throws Exception {
    Logger log = Logger.getLogger("Name");

    Properties props = new Properties();
    props.put(StreamsConfig.APPLICATION_ID_CONFIG, "streams-wordprint");
    props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "192.168.99.100:9092");
    props.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
    props.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());

    final KStreamBuilder builder = new KStreamBuilder();
    builder.stream("onecon_postgres").print();

    final KafkaStreams streams = new KafkaStreams(builder, props);
    final CountDownLatch latch = new CountDownLatch(1);

    // attach shutdown handler to catch control-c
    Runtime.getRuntime().addShutdownHook(new Thread("streams-shutdown-hook") {
        @Override
        public void run() {
            streams.close();
            latch.countDown();
        }
    });

    try {
        streams.start();
        log.info("After Start");
        latch.await();
    } catch (Throwable e) {
        System.exit(1);
    }
    System.exit(0);
    }

不幸的是，这个应用程序不读取输入流。我有一个来自postgresql的jdbc源连接器，它可以很好地处理来自一个数据库的数据流（我可以在本主题中看到kafka connect ui数据）。
我遇到的问题是，即使我在bootstrap\u servers\u config中更改了ip属性ip is localhost，我也不知道为什么。

[main] INFO org.apache.kafka.streams.StreamsConfig - StreamsConfig values: 
    application.id = streams-linesplit
    application.server = 
  **bootstrap.servers = [localhost:9092]**
    buffered.records.per.partition = 1000
    cache.max.bytes.buffering = 10485760
    client.id = 
    commit.interval.ms = 30000
    connections.max.idle.ms = 540000
    default.key.serde = class org.apache.kafka.common.serialization.Serdes$StringSerde
    default.timestamp.extractor = class org.apache.kafka.streams.processor.FailOnInvalidTimestamp
    default.value.serde = class org.apache.kafka.common.serialization.Serdes$StringSerde
    key.serde = null
    metadata.max.age.ms = 300000
    metric.reporters = []
    metrics.num.samples = 2
    metrics.recording.level = INFO
    metrics.sample.window.ms = 30000
    num.standby.replicas = 0
    num.stream.threads = 1
    partition.grouper = class org.apache.kafka.streams.processor.DefaultPartitionGrouper
    poll.ms = 100
    processing.guarantee = at_least_once
    receive.buffer.bytes = 32768
    reconnect.backoff.max.ms = 1000
    reconnect.backoff.ms = 50
    replication.factor = 1
    request.timeout.ms = 40000
    retry.backoff.ms = 100
    rocksdb.config.setter = null
    security.protocol = PLAINTEXT
    send.buffer.bytes = 131072
    state.cleanup.delay.ms = 600000
    state.dir = /tmp/kafka-streams
    timestamp.extractor = null
    value.serde = null
    windowstore.changelog.additional.retention.ms = 86400000
    zookeeper.connect =

为了克服这个问题，我使用netsh转发流量，但我看不到这个应用程序使用我的流。

netsh interface portproxy add v4tov4 listenport=9092 listenaddress=127.0.0.1 connectport=9092 connectaddress=192.168.99.100