Hi Theo, We also have the same scenario. If it would be great if you could provide some examples or more details about flink process function.
Thanks, Avinash On Tue, Feb 25, 2020 at 12:29 PM theo.diefent...@scoop-software.de < theo.diefent...@scoop-software.de> wrote: > Hi, > > At last flink forward in Berlin I spoke with some persons about the same > problem, where they had construction devices as IoT sensors which could > even be offline for multiple days. > > They told me that the major problem for them was that the watermark in > Flink is maintained per operator /subtask, even if you group by key. > > They solved their problem via a Flink process function where they have > full control over state and timers, so you can deal with each device as you > like and can e. g. maintain something similar to a per device watermark. I > also think that it is the best way to go for this usecase. > > Best regards > Theo > > > > > -------- Ursprüngliche Nachricht -------- > Von: hemant singh <hemant2...@gmail.com> > Datum: Di., 25. Feb. 2020, 06:19 > An: Marco Villalobos <mvillalo...@beyond.ai> > Cc: user@flink.apache.org > Betreff: Re: Timeseries aggregation with many IoT devices off of one Kafka > topic. > > Hello, > > I am also working on something similar. Below is the pipeline design I > have, sharing may be it can be helpful. > > topic -> keyed stream on device-id -> window operation -> sink. > > You can PM me on further details. > > Thanks, > Hemant > > On Tue, Feb 25, 2020 at 1:54 AM Marco Villalobos <mvillalo...@beyond.ai> > wrote: > > I need to collect timeseries data from thousands of IoT devices. Each > device has name, value, and timestamp published to one Kafka topic. The > event time timestamps are in order only relation with the individual > device, but out of order with respect to other devices. > > > > Is there a way to aggregate a 15 minute window of this in which each IoT > devices gets aggregated with its own event time? > > > > I would deeply appreciate if somebody could guide me to an approach for > solving this in Flink. > > > > I wish there was a group chat for these type of problems. > > > >
