Hi,
I have usecase when I need to join two kafka topics together by some fields.
In general, I could put content of one topic into another, and partition by
same key, but I can't touch those two topics(i.e. there are other consumers
from those topics), on the other hand it's essential to process s
Hi,
we are evaluating Flink for new solution and several people raised concern
of coupling too much to Flink -
1. we understand that if we want to get full fault tolerance and best
performance we'll need to use Flink managed state(probably RocksDB backend
due to volume of state)
2. but then if we
Hi,
Suppose I have web facing frontend that gets stream of events(http calls). I
need to process event stream and do some aggregations over those events and
write aggregated statistics to Hbase - so far Flink seems as perfect match.
However in some cases event should trigger some alert and frontend
thanks Stephan,
yes, you got usecase right
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Hi,
We are looking at Flink and trying to understand if our usecase is relevant
to it.
We need process stream of events. Each event is for some id(e.g. device id),
when each event should be
1. stored in some persistent storage(e.g. cassandra)
2. previously persisted events should be fetched and s
