Thanks Chesnay. I will try that and let you know. Thanks.
On Sun, Feb 10, 2019 at 2:31 PM Chesnay Schepler <ches...@apache.org> wrote: > You should be able to use a KeyedProcessFunction > <https://ci.apache.org/projects/flink/flink-docs-master/dev/stream/operators/process_function.html#the-processfunction>for > that. > Find matching elements via keyBy() on the first field. > Aggregate into ValueState, send alert if necessary. > Upon encountering a new key, setup a timer to remove the entry in 24h. > > On 08.02.2019 07:43, Titus Rakkesh wrote: > > Dears, > > I have a data stream continuously coming, > > DataStream<Tuple3<String, Integer, Double>> splitZTuple; > > Eg - (775168263,113182,0.0) > > I have to store this for 24 hrs expiry in somewhere (Window or somewhere) > to check against another stream. > > The second stream is > > DataStream<Tuple2<String, Double>> splittedVomsTuple which also > continuously receiving one. > > Eg. (775168263,100.0) > > > We need to accumulate the third element in (775168263,113182,*0.0*) in > the WINDOW (If the corresponding first element match happened with the > incoming second streams second element 775168263,*100.0*) > > While keeping this WINDOW session if any (775168263,113182,*175*) third > element in the Window Stream exceed a value (Eg >150) we need to call back > a another rest point to send an alert ------- (775168263,113182,*175*) > match the criteria. Simply a CEP call back. > > > In Flink how we can do this kind of operations? Or do I need to think > about any other framework? Please advise. > > Thanks... > > >