How can I filter Flux with state?












0














I'd like to apply filter on my Flux based on a state calculated from previous values. However, it is recommended to avoid using state in operators according to the javadoc




Note that using state in the java.util.function / lambdas used within Flux operators should be avoided, as these may be shared between several Subscribers.




For example, Flux#distinct filters items that appears earlier. How can we implement our own version of distinct?










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    0














    I'd like to apply filter on my Flux based on a state calculated from previous values. However, it is recommended to avoid using state in operators according to the javadoc




    Note that using state in the java.util.function / lambdas used within Flux operators should be avoided, as these may be shared between several Subscribers.




    For example, Flux#distinct filters items that appears earlier. How can we implement our own version of distinct?










    share|improve this question

























      0












      0








      0







      I'd like to apply filter on my Flux based on a state calculated from previous values. However, it is recommended to avoid using state in operators according to the javadoc




      Note that using state in the java.util.function / lambdas used within Flux operators should be avoided, as these may be shared between several Subscribers.




      For example, Flux#distinct filters items that appears earlier. How can we implement our own version of distinct?










      share|improve this question













      I'd like to apply filter on my Flux based on a state calculated from previous values. However, it is recommended to avoid using state in operators according to the javadoc




      Note that using state in the java.util.function / lambdas used within Flux operators should be avoided, as these may be shared between several Subscribers.




      For example, Flux#distinct filters items that appears earlier. How can we implement our own version of distinct?







      project-reactor






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      share|improve this question










      asked Nov 12 at 6:38









      hota911

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          I have found an answer to my question. Flux#distinct can take a Supplier which provides initial state and a BiPredicate which performs "distinct" check, so we can store arbitrary state in the store and decide whether to keep each element.



          Following code shows how to keep the first 3 elements of each mod2 group without changing the order.



          // Get first 3 elements per mod 2.
          Flux<Integer> first3PerMod2 =
          Flux.fromIterable(ImmutableList.of(9, 3, 7, 4, 5, 10, 6, 8, 2, 1))
          .distinct(
          // Group by mod2
          num -> num % 2,
          // Counter to store how many elements have been processed for each group.
          () -> new HashMap<Integer, Integer>(),
          // Increment or set 1 to the counter,
          // and return whether 3 elements are published.
          (map, num) -> map.merge(num, 1, Integer::sum) <= 3,
          // Clean up the state.
          map -> map.clear());

          StepVerifier.create(first3PerMod2).expectNext(9, 3, 7, 4, 10, 6).verifyComplete();





          share|improve this answer





















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            0














            I have found an answer to my question. Flux#distinct can take a Supplier which provides initial state and a BiPredicate which performs "distinct" check, so we can store arbitrary state in the store and decide whether to keep each element.



            Following code shows how to keep the first 3 elements of each mod2 group without changing the order.



            // Get first 3 elements per mod 2.
            Flux<Integer> first3PerMod2 =
            Flux.fromIterable(ImmutableList.of(9, 3, 7, 4, 5, 10, 6, 8, 2, 1))
            .distinct(
            // Group by mod2
            num -> num % 2,
            // Counter to store how many elements have been processed for each group.
            () -> new HashMap<Integer, Integer>(),
            // Increment or set 1 to the counter,
            // and return whether 3 elements are published.
            (map, num) -> map.merge(num, 1, Integer::sum) <= 3,
            // Clean up the state.
            map -> map.clear());

            StepVerifier.create(first3PerMod2).expectNext(9, 3, 7, 4, 10, 6).verifyComplete();





            share|improve this answer


























              0














              I have found an answer to my question. Flux#distinct can take a Supplier which provides initial state and a BiPredicate which performs "distinct" check, so we can store arbitrary state in the store and decide whether to keep each element.



              Following code shows how to keep the first 3 elements of each mod2 group without changing the order.



              // Get first 3 elements per mod 2.
              Flux<Integer> first3PerMod2 =
              Flux.fromIterable(ImmutableList.of(9, 3, 7, 4, 5, 10, 6, 8, 2, 1))
              .distinct(
              // Group by mod2
              num -> num % 2,
              // Counter to store how many elements have been processed for each group.
              () -> new HashMap<Integer, Integer>(),
              // Increment or set 1 to the counter,
              // and return whether 3 elements are published.
              (map, num) -> map.merge(num, 1, Integer::sum) <= 3,
              // Clean up the state.
              map -> map.clear());

              StepVerifier.create(first3PerMod2).expectNext(9, 3, 7, 4, 10, 6).verifyComplete();





              share|improve this answer
























                0












                0








                0






                I have found an answer to my question. Flux#distinct can take a Supplier which provides initial state and a BiPredicate which performs "distinct" check, so we can store arbitrary state in the store and decide whether to keep each element.



                Following code shows how to keep the first 3 elements of each mod2 group without changing the order.



                // Get first 3 elements per mod 2.
                Flux<Integer> first3PerMod2 =
                Flux.fromIterable(ImmutableList.of(9, 3, 7, 4, 5, 10, 6, 8, 2, 1))
                .distinct(
                // Group by mod2
                num -> num % 2,
                // Counter to store how many elements have been processed for each group.
                () -> new HashMap<Integer, Integer>(),
                // Increment or set 1 to the counter,
                // and return whether 3 elements are published.
                (map, num) -> map.merge(num, 1, Integer::sum) <= 3,
                // Clean up the state.
                map -> map.clear());

                StepVerifier.create(first3PerMod2).expectNext(9, 3, 7, 4, 10, 6).verifyComplete();





                share|improve this answer












                I have found an answer to my question. Flux#distinct can take a Supplier which provides initial state and a BiPredicate which performs "distinct" check, so we can store arbitrary state in the store and decide whether to keep each element.



                Following code shows how to keep the first 3 elements of each mod2 group without changing the order.



                // Get first 3 elements per mod 2.
                Flux<Integer> first3PerMod2 =
                Flux.fromIterable(ImmutableList.of(9, 3, 7, 4, 5, 10, 6, 8, 2, 1))
                .distinct(
                // Group by mod2
                num -> num % 2,
                // Counter to store how many elements have been processed for each group.
                () -> new HashMap<Integer, Integer>(),
                // Increment or set 1 to the counter,
                // and return whether 3 elements are published.
                (map, num) -> map.merge(num, 1, Integer::sum) <= 3,
                // Clean up the state.
                map -> map.clear());

                StepVerifier.create(first3PerMod2).expectNext(9, 3, 7, 4, 10, 6).verifyComplete();






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 12 at 14:12









                hota911

                12




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