Apache Kafka order windowed messages based on their value

Viewed 5374

I'm trying to find a way to re-order messages within a topic partition and send ordered messages to a new topic.

I have Kafka publisher that sends String messages of the following format: {system_timestamp}-{event_name}?{parameters}

for example:

1494002667893-client.message?chatName=1c&messageBody=hello
1494002656558-chat.started?chatName=1c&chatPatricipants=3

Also, we add some message key for each message, to send them to the corresponding partition.

What I want to do is reorder events based on {system-timestamp} part of the message and within a 1-minute window, cause our publishers doesn't guarantee that messages will be sent in accordance with {system-timestamp} value.

For example, we can deliver to the topic, a message with a bigger {system-timestamp} value first.

I've investigated Kafka Stream API and found some examples regarding messages windowing and aggregation:

Properties streamsConfiguration = new Properties();
        streamsConfiguration.put(StreamsConfig.APPLICATION_ID_CONFIG, "stream-sorter");
        streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
        streamsConfiguration.put(StreamsConfig.ZOOKEEPER_CONNECT_CONFIG, "localhost:2181");
        streamsConfiguration.put(StreamsConfig.KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
        streamsConfiguration.put(StreamsConfig.VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());

 KStreamBuilder builder = new KStreamBuilder();
 KStream<String, String> stream = builder.stream("events");
 KGroupedStream<String>, String> groupedStream = stream.groupByKey();//grouped events within partion.

    /* commented since I think that I don't need any aggregation, but I guess without aggregation I can't use time windowing.
KTable<Windowed<String>, String> windowedEvents = stream.groupByKey().aggregate(
                () -> "",  // initial value
                (aggKey, value, aggregate) -> aggregate + "",   // aggregating value
                TimeWindows.of(1000), // intervals in milliseconds
                Serdes.String(), // serde for aggregated value
                "test-store"
        );*/

But what should I do next with this grouped stream? I don't see any 'sort() (e1,e2) -> e1.compareTo(e2)' methods available, also windows could be applied to methods like aggregation(), reduce() ,count() , but I think that I don't need any messages data manipulations.

How can I re-order message in the 1-minute window and send them to another topic?

2 Answers

Here is how I ordered streams in my project.

  1. Created topology with source, processor, sink.
  2. In Processor
    1. process(key, value) -> Added each record to List(instance variable).
    2. Init() -> schedule(WINDOW_BUFFER_TIME, WALL_CLOCK_TIME) -> punctuate (timestamp) sort list of items of window buffer time in List (instance variable) and iterate and forward. Clear List (instance variable).

This logic is working fine for me.

Related