I'm working with Flink and I'm using the Kafka Connector. The messages that I'm receiving from flink is a list of comma separated items. "'a','b','c',1,0.1 ....'12:01:00.000'" One of them contain the event time, I would like to use this event time for the per-partition watermarking (in the kafka source), then use this Event Time for session windowing. My case is a bit different from usual because from what i have understood people usually use "kafka Timestamps" and SimpleStringSchema(). On my case instead I have to write my own deserializer that implement DeserializationSchema and return a Tuple or Pojo. So basically substitute the SimpleStringSchema() with my own function. Flink offer out of the box some deserializers but I really don't understnd how i can create a custom deserialization logic.
Checking the flink website i have found this:
https://ci.apache.org/projects/flink/flink-docs-release-1.11/dev/connectors/kafka.html
I have been given an example (Thanks David!), but still i don't get how to implement mine.
I would really need an example of how I can do it for a list. The one indicated above is for JSON so is giving me the theory, the concept but i got stuck there.
You should introduce the POJO like
public class Event implements Serializable {
...
private Long timestamp;
}
and implement the simple deserializer similar to the one from the link - you can parse the line either manually splitting by comma the message string, or you an out-of-box csv readers, like opencsv, to parse the line into your POJO:
public class EventDeserializationSchema implements DeserializationSchema<Event> {
private static final long serialVersionUID = 1L;
@Override
public ClickEvent deserialize(byte[] message) throws IOException {
String line = new String(message, StandardCharsets.UTF_8);
String[] parts = line.split(",");
Event event = new Event();
// TODO: parts to event here
return event;
}
@Override
public boolean isEndOfStream(Event nextElement) {
return false;
}
@Override
public TypeInformation<Event> getProducedType() {
return TypeInformation.of(Event.class);
}
}