Hi Teena,
I'd go with approach 2. The performance difference shouldn't be significant
compared to 1. but it is much easier to implement, IMO.
Avoid approach 3. It will be much slower because you need at least one call
to an external data store and more difficult to implement.
Flink's checkpointin
Hi Teena
If you are proceeding with point 3, no doubt it will add some overhead but
major significance is that you are persisting the state as per
some key. so there will not be data loss in case of the job failure.
On Thu, Apr 19, 2018 at 11:45 AM, Teena Kappen // BPRISE <
teena.kap...@bprise.
Hi,
If I have to aggregate a value in a stream of records, which one of the below
approaches will be the most/least efficient?
1. Using a Global Window to aggregate the value and emit the record when it
reaches a particular threshold value.
2. Using a FlatMap with a State Variable which
