How to schedule periodical task based on number of processed messages?












0















I want to use Kafka Processor API to process messages from Kafka.
I would like to call some periodically function - something like:
context.schedule(IntervalMS,punctuationType, somePunctuator), where somePunctuator perform some periodical job, but instead using interval time as trigger I would like to invoke that task after processing some number of messages



Is it possible do such triggering in Kafka streams?










share|improve this question





























    0















    I want to use Kafka Processor API to process messages from Kafka.
    I would like to call some periodically function - something like:
    context.schedule(IntervalMS,punctuationType, somePunctuator), where somePunctuator perform some periodical job, but instead using interval time as trigger I would like to invoke that task after processing some number of messages



    Is it possible do such triggering in Kafka streams?










    share|improve this question



























      0












      0








      0








      I want to use Kafka Processor API to process messages from Kafka.
      I would like to call some periodically function - something like:
      context.schedule(IntervalMS,punctuationType, somePunctuator), where somePunctuator perform some periodical job, but instead using interval time as trigger I would like to invoke that task after processing some number of messages



      Is it possible do such triggering in Kafka streams?










      share|improve this question
















      I want to use Kafka Processor API to process messages from Kafka.
      I would like to call some periodically function - something like:
      context.schedule(IntervalMS,punctuationType, somePunctuator), where somePunctuator perform some periodical job, but instead using interval time as trigger I would like to invoke that task after processing some number of messages



      Is it possible do such triggering in Kafka streams?







      apache-kafka apache-kafka-streams






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Jan 1 at 17:07









      Jacek Laskowski

      44.3k18131265




      44.3k18131265










      asked Dec 30 '18 at 14:35









      wardziniakwardziniak

      897415




      897415
























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          yes, it's possible with using Kafka Streams State Store.
          logic depends on what exactly you need to do on reaching the number of processed messages.



          if you need to propagate data to the next processor or sink node, you need to store aggregated values as a list of objects inside key-value state store. inside Processor.process(..) you put data into key-value store, and after that check whether number of items reached limit, and do required logic (like processorContext.forward(..)). please take a look at similar example here.



          if you need to do some logic after reaching number and don't need values, you could store only counter, and inside Processor.process(..) increment this value.






          share|improve this answer

























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            1 Answer
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            1 Answer
            1






            active

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            active

            oldest

            votes






            active

            oldest

            votes









            1














            yes, it's possible with using Kafka Streams State Store.
            logic depends on what exactly you need to do on reaching the number of processed messages.



            if you need to propagate data to the next processor or sink node, you need to store aggregated values as a list of objects inside key-value state store. inside Processor.process(..) you put data into key-value store, and after that check whether number of items reached limit, and do required logic (like processorContext.forward(..)). please take a look at similar example here.



            if you need to do some logic after reaching number and don't need values, you could store only counter, and inside Processor.process(..) increment this value.






            share|improve this answer






























              1














              yes, it's possible with using Kafka Streams State Store.
              logic depends on what exactly you need to do on reaching the number of processed messages.



              if you need to propagate data to the next processor or sink node, you need to store aggregated values as a list of objects inside key-value state store. inside Processor.process(..) you put data into key-value store, and after that check whether number of items reached limit, and do required logic (like processorContext.forward(..)). please take a look at similar example here.



              if you need to do some logic after reaching number and don't need values, you could store only counter, and inside Processor.process(..) increment this value.






              share|improve this answer




























                1












                1








                1







                yes, it's possible with using Kafka Streams State Store.
                logic depends on what exactly you need to do on reaching the number of processed messages.



                if you need to propagate data to the next processor or sink node, you need to store aggregated values as a list of objects inside key-value state store. inside Processor.process(..) you put data into key-value store, and after that check whether number of items reached limit, and do required logic (like processorContext.forward(..)). please take a look at similar example here.



                if you need to do some logic after reaching number and don't need values, you could store only counter, and inside Processor.process(..) increment this value.






                share|improve this answer















                yes, it's possible with using Kafka Streams State Store.
                logic depends on what exactly you need to do on reaching the number of processed messages.



                if you need to propagate data to the next processor or sink node, you need to store aggregated values as a list of objects inside key-value state store. inside Processor.process(..) you put data into key-value store, and after that check whether number of items reached limit, and do required logic (like processorContext.forward(..)). please take a look at similar example here.



                if you need to do some logic after reaching number and don't need values, you could store only counter, and inside Processor.process(..) increment this value.







                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited Dec 30 '18 at 15:38

























                answered Dec 30 '18 at 15:30









                Vasiliy SarzhynskyiVasiliy Sarzhynskyi

                1,1981722




                1,1981722






























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