OpenTracing与卡夫卡流-如何？

Question

我正在尝试将Jaeger跟踪集成到K流中。我计划在我的几条最重要的管道上添加追踪，并想知道什么是从一条线到另一条线的好方法？

以下是我到目前为止所拥有的--在流处理管道的开始时，我启动了一个服务器跨，并将traceid保存到一个状态存储中。稍后，在transform管道中，我访问statestore并从transform()方法中捕获跟踪。这是处理流处理中的跟踪的好方法吗？

input
  .mapValues(toSomethingThatMyAppUnderstands)      
  .mapValues(this::startStreamTrace)
  .filter((k, v) -> v.isPresent())            
  .mapValues(Optional::get)                   
  .mapValues(doSomethingHereWith)       
  .flatMapValues(doSomethingElse)       
  .filter((k, v) -> isInterestingEvent(v))    
  .transform(() -> new TransformerWithTracing<SomeObjectA, SomeObjectB>(IN_MEM_STORE_NAME, someFunction), IN_MEM_STORE_NAME)
  .flatMapValues(c -> c)
  .to(outTopic, Produced.with(Serdes.String(), new EventSerde()));



public class TransformerWithTracing<V, VR> implements Transformer<String, V, KeyValue<String, VR>> {

  final Function valueAction;
  final String storeId;
  private KeyValueStore<String, String> traceIdStore;

  public TransformerWithTracing(String storeId, Function valueAction) {
    this.storeId = storeId;
    this.valueAction = valueAction;
  }

  @Override
  public void init(ProcessorContext context) {
   // KeyValueStore store = ((KeyValueStore<String, String>) context.getStateStore(storeId));
    InMemoryKeyValueStore inMemoryKeyValueStore = (InMemoryKeyValueStore) store;
    this.traceIdStore = store;
  }

  @Override
  public KeyValue<String, VR> transform(String key, V value) {
    System.out.println(traceIdStore.get(key));

    // BuildTraceHeader 
    try(Scope scope = serviceTracer.startServerSpan(traceHeader, "Converting to Enterprise Event")) {
      return KeyValue.pair(key, (VR) valueAction.apply(value));
    }
  }

  @Override
  public KeyValue<String, VR> punctuate(long timestamp) {
    return null;
  }

  @Override
  public void close() {
//    if (streamId != null)   traceIdStore.delete(streamId);
  }

}

Answer 1

在这个@jeqo的zipkin/勇敢的回购中也有类似的想法。

https://github.com/jeqo/brave/tree/kafka-streams-processor/instrumentation/kafka-streams

也有一些东西在开放赛车-控制回购，但它似乎只在跟踪生产者/消费者水平。

https://github.com/opentracing-contrib/java-kafka-client/tree/master/opentracing-kafka-streams

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