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stream-processing
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Basically, we don't need to have kafka-console-consumer, we have mill instead: https://github.com/ThreeDotsLabs/watermill/tree/master/tools/mill
It would be nice to replace it in all examples.
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It can be very difficult to piece together a reasonably estimate of a history of events from the current workers logs because none of them have timestamps.
So for that end, I think we should add timestamps to the logs.
This has some cons:
- We can't just use
@printf
like we have been until now. We need to either include a timestamp in every@printf
call (laborious and error prone) or c
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For example, given a simple pipeline such as:
Pipeline p = Pipeline.create();
p.readFrom(TestSources.items("the", "quick", "brown", "fox"))
.aggregate(aggregator)
.writeTo(Sinks.logger());
I'd like aggregator
to be something requiring a non-serialisable dependency to do its work.
I know I can do this:
Pipeline p = Pipeline.create();
p.readFrom(TestSource
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Atm,
key
is not a reserved key word in ksqlDB. Thus users could use it as a name for streams/tables/columns etc. We should addkey
as a reserved key word though to make sure we can use it if we evolve the language further.