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Cumulative Sum using Java 8 stream API


How does newly introduced Arrays.parallelPrefix(…) in Java 8 work?Map to a running sum in Java 8Is Java “pass-by-reference” or “pass-by-value”?How do I efficiently iterate over each entry in a Java Map?What is the difference between public, protected, package-private and private in Java?How do I read / convert an InputStream into a String in Java?When to use LinkedList over ArrayList in Java?How do I generate random integers within a specific range in Java?How do I convert a String to an int in Java?Creating a memory leak with JavaJava 8 List<V> into Map<K, V>How to Convert a Java 8 Stream to an Array?













10















I have a List of Integer say list1, and I want to get another list list2 which will contain the cumulative sum up until the current index from start. How can I do this using Stream API java 8 ?



List<Integer> list1 = new ArrayList<>();
list1.addAll(Arrays.asList(1, 2, 3, 4));
List<Integer> list2 = new ArrayList<>();
// initialization
list2.add(list1.get(0));
for(int i=1;i<list1.size();i++)
// increment step
list2.add(list2.get(i-1) + list1.get(i));



How can I change above imperative style code into declarative one ?



list2 should be [1, 3, 6, 10]









share|improve this question



















  • 11





    You'll notice from the answers that any solution using streams is going to be inefficient. Streams aren't really intended for this use case. (In general, streams aren't intended to replace all imperative code.)

    – Louis Wasserman
    yesterday











  • @LouisWasserman I agree. But in this case I do not care about efficiency (probably should have mentioned it in the question). I wanted to write the same thing with something other than above mentioned imperative style. I could not do it myself, as I was stuck because the solution is kind of mixture of map and reduce operation

    – run_time_error
    yesterday











  • Man, the lack of tuples really hurts here.

    – Alexander
    yesterday






  • 1





    An extremely similar question was asked yesterday: stackoverflow.com/questions/55230261/…

    – Jacob G.
    22 hours ago















10















I have a List of Integer say list1, and I want to get another list list2 which will contain the cumulative sum up until the current index from start. How can I do this using Stream API java 8 ?



List<Integer> list1 = new ArrayList<>();
list1.addAll(Arrays.asList(1, 2, 3, 4));
List<Integer> list2 = new ArrayList<>();
// initialization
list2.add(list1.get(0));
for(int i=1;i<list1.size();i++)
// increment step
list2.add(list2.get(i-1) + list1.get(i));



How can I change above imperative style code into declarative one ?



list2 should be [1, 3, 6, 10]









share|improve this question



















  • 11





    You'll notice from the answers that any solution using streams is going to be inefficient. Streams aren't really intended for this use case. (In general, streams aren't intended to replace all imperative code.)

    – Louis Wasserman
    yesterday











  • @LouisWasserman I agree. But in this case I do not care about efficiency (probably should have mentioned it in the question). I wanted to write the same thing with something other than above mentioned imperative style. I could not do it myself, as I was stuck because the solution is kind of mixture of map and reduce operation

    – run_time_error
    yesterday











  • Man, the lack of tuples really hurts here.

    – Alexander
    yesterday






  • 1





    An extremely similar question was asked yesterday: stackoverflow.com/questions/55230261/…

    – Jacob G.
    22 hours ago













10












10








10


3






I have a List of Integer say list1, and I want to get another list list2 which will contain the cumulative sum up until the current index from start. How can I do this using Stream API java 8 ?



List<Integer> list1 = new ArrayList<>();
list1.addAll(Arrays.asList(1, 2, 3, 4));
List<Integer> list2 = new ArrayList<>();
// initialization
list2.add(list1.get(0));
for(int i=1;i<list1.size();i++)
// increment step
list2.add(list2.get(i-1) + list1.get(i));



How can I change above imperative style code into declarative one ?



list2 should be [1, 3, 6, 10]









share|improve this question
















I have a List of Integer say list1, and I want to get another list list2 which will contain the cumulative sum up until the current index from start. How can I do this using Stream API java 8 ?



List<Integer> list1 = new ArrayList<>();
list1.addAll(Arrays.asList(1, 2, 3, 4));
List<Integer> list2 = new ArrayList<>();
// initialization
list2.add(list1.get(0));
for(int i=1;i<list1.size();i++)
// increment step
list2.add(list2.get(i-1) + list1.get(i));



How can I change above imperative style code into declarative one ?



list2 should be [1, 3, 6, 10]






java java-8 java-stream






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited yesterday









Stefan Zobel

2,47231931




2,47231931










asked yesterday









run_time_errorrun_time_error

166213




166213







  • 11





    You'll notice from the answers that any solution using streams is going to be inefficient. Streams aren't really intended for this use case. (In general, streams aren't intended to replace all imperative code.)

    – Louis Wasserman
    yesterday











  • @LouisWasserman I agree. But in this case I do not care about efficiency (probably should have mentioned it in the question). I wanted to write the same thing with something other than above mentioned imperative style. I could not do it myself, as I was stuck because the solution is kind of mixture of map and reduce operation

    – run_time_error
    yesterday











  • Man, the lack of tuples really hurts here.

    – Alexander
    yesterday






  • 1





    An extremely similar question was asked yesterday: stackoverflow.com/questions/55230261/…

    – Jacob G.
    22 hours ago












  • 11





    You'll notice from the answers that any solution using streams is going to be inefficient. Streams aren't really intended for this use case. (In general, streams aren't intended to replace all imperative code.)

    – Louis Wasserman
    yesterday











  • @LouisWasserman I agree. But in this case I do not care about efficiency (probably should have mentioned it in the question). I wanted to write the same thing with something other than above mentioned imperative style. I could not do it myself, as I was stuck because the solution is kind of mixture of map and reduce operation

    – run_time_error
    yesterday











  • Man, the lack of tuples really hurts here.

    – Alexander
    yesterday






  • 1





    An extremely similar question was asked yesterday: stackoverflow.com/questions/55230261/…

    – Jacob G.
    22 hours ago







11




11





You'll notice from the answers that any solution using streams is going to be inefficient. Streams aren't really intended for this use case. (In general, streams aren't intended to replace all imperative code.)

– Louis Wasserman
yesterday





You'll notice from the answers that any solution using streams is going to be inefficient. Streams aren't really intended for this use case. (In general, streams aren't intended to replace all imperative code.)

– Louis Wasserman
yesterday













@LouisWasserman I agree. But in this case I do not care about efficiency (probably should have mentioned it in the question). I wanted to write the same thing with something other than above mentioned imperative style. I could not do it myself, as I was stuck because the solution is kind of mixture of map and reduce operation

– run_time_error
yesterday





@LouisWasserman I agree. But in this case I do not care about efficiency (probably should have mentioned it in the question). I wanted to write the same thing with something other than above mentioned imperative style. I could not do it myself, as I was stuck because the solution is kind of mixture of map and reduce operation

– run_time_error
yesterday













Man, the lack of tuples really hurts here.

– Alexander
yesterday





Man, the lack of tuples really hurts here.

– Alexander
yesterday




1




1





An extremely similar question was asked yesterday: stackoverflow.com/questions/55230261/…

– Jacob G.
22 hours ago





An extremely similar question was asked yesterday: stackoverflow.com/questions/55230261/…

– Jacob G.
22 hours ago












5 Answers
5






active

oldest

votes


















7














Streams are not suited for this kind of task, as there is state involved (the cumulative partial sum). Instead, you could use Arrays.parallelPrefix:



Integer[] arr = list1.toArray(Integer[]::new);

Arrays.parallelPrefix(arr, Integer::sum);

List<Integer> list2 = Arrays.asList(arr);


This first copies list1 to an array by using Collection.toArray, which is available since JDK 11. If you are not on Java 11 yet, you could replace the first line with the traditional toArray call:



Integer[] arr = list1.toArray(new Integer[0]);


This solution doesn't use streams, yet it's declarative, because Arrays.parallelPrefix receives the cumulative operation as an argument (Integer::sum in this case).



Time complexity is O(N), though there might be some not-minor constant costs involved associated with setting up the infrastructure needed for parallel processing. However, according to the docs:




Parallel prefix computation is usually more efficient than sequential loops for large arrays




So it seems it's worth giving this approach a try.






share|improve this answer




















  • 1





    Never heard of parallel prefix. thank you very much for teaching me a new concept. :). I will definitely give a try.

    – run_time_error
    yesterday






  • 1





    @run_time_error Here's more reading about the subject.

    – Federico Peralta Schaffner
    yesterday






  • 1





    Don’t make your life unnecessary hard. Use list1.toArray(new Integer[0]). As elaborated in this great article, using a zero size is even more efficient in the commonly used Hotspot JVM. That’s one of the reasons why JDK 11’s new method just does the same: “The default implementation calls the generator function with zero and then passes the resulting array to toArray(T[]).

    – Holger
    15 hours ago






  • 1





    @run_time_error also worth reading: How does newly introduced Arrays.parallelPrefix(…) in Java 8 work?

    – Holger
    15 hours ago


















5














For every index: iterate from zero to that index, get each element, and get the sum

Box the ints to Integers

Collect to a list



IntStream.range(0, list1.size())
.map(i -> IntStream.rangeClosed(0, i).map(list1::get).sum())
.boxed()
.collect(Collectors.toList());


You're adding every number together every time, rather than reusing the previous cumulative result, but streams do not lend themselves to looking at results from previous iterations.



You could write your own collector but at this point, honestly why are you even bothering with streams?



list1.stream()
.collect(
Collector.of(
ArrayList::new,
(a, b) -> a.add(a.isEmpty() ? b : b + a.get(a.size() - 1)),
(a, b) -> throw new UnsupportedOperationException();
)
);





share|improve this answer




















  • 5





    That's O(n^2) !! (as opposed to the O(n) of the OP)

    – DodgyCodeException
    yesterday







  • 1





    @DodgyCodeException Yes.

    – Michael
    yesterday











  • @Michael thanks for your elaborate response. I have learnt that I can write my own collector. I know this is overkill. But good to know that there are other ways.

    – run_time_error
    yesterday


















3














You can use sublist to sum up until the current index from start:



List<Integer> list = IntStream.range(0, list1.size())
.mapToObj(i -> list1.subList(0, i + 1).stream().mapToInt(Integer::intValue).sum())
.collect(Collectors.toList());





share|improve this answer
































    2














    An O(n) (works only sequentially) solution would be the following, but I don't find it very elegant. I guess it is a matter of taste



    AtomicInteger ai = new AtomicInteger();
    List<Integer> collect = list1.stream()
    .map(ai::addAndGet)
    .collect(Collectors.toList());
    System.out.println(collect); // [1, 3, 6, 10]





    share|improve this answer




















    • 5





      This solution only works as long as the stream is sequential. Parallelising it would break this completely.

      – Ben R.
      yesterday











    • @ben In parallel stream you couldn't have cumulative sum right?

      – Venkataraghavan Yanamandram
      14 hours ago











    • Ruslan's answer allows for parallel streaming. The only stateful operation is over the original list itself, which we can probably assume with relative safety is read-only. Each item in the list in his solution could query over the list independently of the other stream elements.

      – Ben R.
      13 hours ago











    • @VenkataraghavanYanamandram with other solutions yes, but they are O(n^2)

      – Yassin Hajaj
      13 hours ago


















    1














    You can just use Stream.collect() for that:



    List<Integer> list1 = Arrays.asList(1, 2, 3, 4);
    List<Integer> list2 = list1.stream()
    .collect(ArrayList::new, (sums, number) ->
    if (sums.isEmpty())
    sums.add(number);
    else
    sums.add(sums.get(sums.size() - 1) + number);

    , (sums1, sums2) ->
    if (!sums1.isEmpty())
    int sum = sums1.get(sums1.size() - 1);
    sums2.replaceAll(num -> sum + num);

    sums1.addAll(sums2);
    );


    This solution also works for parallel streams. Use list1.parallelStream() or list1.stream().parallel() instead of list1.stream().



    The result in both cases is: [1, 3, 6, 10]






    share|improve this answer
























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      5 Answers
      5






      active

      oldest

      votes








      5 Answers
      5






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      7














      Streams are not suited for this kind of task, as there is state involved (the cumulative partial sum). Instead, you could use Arrays.parallelPrefix:



      Integer[] arr = list1.toArray(Integer[]::new);

      Arrays.parallelPrefix(arr, Integer::sum);

      List<Integer> list2 = Arrays.asList(arr);


      This first copies list1 to an array by using Collection.toArray, which is available since JDK 11. If you are not on Java 11 yet, you could replace the first line with the traditional toArray call:



      Integer[] arr = list1.toArray(new Integer[0]);


      This solution doesn't use streams, yet it's declarative, because Arrays.parallelPrefix receives the cumulative operation as an argument (Integer::sum in this case).



      Time complexity is O(N), though there might be some not-minor constant costs involved associated with setting up the infrastructure needed for parallel processing. However, according to the docs:




      Parallel prefix computation is usually more efficient than sequential loops for large arrays




      So it seems it's worth giving this approach a try.






      share|improve this answer




















      • 1





        Never heard of parallel prefix. thank you very much for teaching me a new concept. :). I will definitely give a try.

        – run_time_error
        yesterday






      • 1





        @run_time_error Here's more reading about the subject.

        – Federico Peralta Schaffner
        yesterday






      • 1





        Don’t make your life unnecessary hard. Use list1.toArray(new Integer[0]). As elaborated in this great article, using a zero size is even more efficient in the commonly used Hotspot JVM. That’s one of the reasons why JDK 11’s new method just does the same: “The default implementation calls the generator function with zero and then passes the resulting array to toArray(T[]).

        – Holger
        15 hours ago






      • 1





        @run_time_error also worth reading: How does newly introduced Arrays.parallelPrefix(…) in Java 8 work?

        – Holger
        15 hours ago















      7














      Streams are not suited for this kind of task, as there is state involved (the cumulative partial sum). Instead, you could use Arrays.parallelPrefix:



      Integer[] arr = list1.toArray(Integer[]::new);

      Arrays.parallelPrefix(arr, Integer::sum);

      List<Integer> list2 = Arrays.asList(arr);


      This first copies list1 to an array by using Collection.toArray, which is available since JDK 11. If you are not on Java 11 yet, you could replace the first line with the traditional toArray call:



      Integer[] arr = list1.toArray(new Integer[0]);


      This solution doesn't use streams, yet it's declarative, because Arrays.parallelPrefix receives the cumulative operation as an argument (Integer::sum in this case).



      Time complexity is O(N), though there might be some not-minor constant costs involved associated with setting up the infrastructure needed for parallel processing. However, according to the docs:




      Parallel prefix computation is usually more efficient than sequential loops for large arrays




      So it seems it's worth giving this approach a try.






      share|improve this answer




















      • 1





        Never heard of parallel prefix. thank you very much for teaching me a new concept. :). I will definitely give a try.

        – run_time_error
        yesterday






      • 1





        @run_time_error Here's more reading about the subject.

        – Federico Peralta Schaffner
        yesterday






      • 1





        Don’t make your life unnecessary hard. Use list1.toArray(new Integer[0]). As elaborated in this great article, using a zero size is even more efficient in the commonly used Hotspot JVM. That’s one of the reasons why JDK 11’s new method just does the same: “The default implementation calls the generator function with zero and then passes the resulting array to toArray(T[]).

        – Holger
        15 hours ago






      • 1





        @run_time_error also worth reading: How does newly introduced Arrays.parallelPrefix(…) in Java 8 work?

        – Holger
        15 hours ago













      7












      7








      7







      Streams are not suited for this kind of task, as there is state involved (the cumulative partial sum). Instead, you could use Arrays.parallelPrefix:



      Integer[] arr = list1.toArray(Integer[]::new);

      Arrays.parallelPrefix(arr, Integer::sum);

      List<Integer> list2 = Arrays.asList(arr);


      This first copies list1 to an array by using Collection.toArray, which is available since JDK 11. If you are not on Java 11 yet, you could replace the first line with the traditional toArray call:



      Integer[] arr = list1.toArray(new Integer[0]);


      This solution doesn't use streams, yet it's declarative, because Arrays.parallelPrefix receives the cumulative operation as an argument (Integer::sum in this case).



      Time complexity is O(N), though there might be some not-minor constant costs involved associated with setting up the infrastructure needed for parallel processing. However, according to the docs:




      Parallel prefix computation is usually more efficient than sequential loops for large arrays




      So it seems it's worth giving this approach a try.






      share|improve this answer















      Streams are not suited for this kind of task, as there is state involved (the cumulative partial sum). Instead, you could use Arrays.parallelPrefix:



      Integer[] arr = list1.toArray(Integer[]::new);

      Arrays.parallelPrefix(arr, Integer::sum);

      List<Integer> list2 = Arrays.asList(arr);


      This first copies list1 to an array by using Collection.toArray, which is available since JDK 11. If you are not on Java 11 yet, you could replace the first line with the traditional toArray call:



      Integer[] arr = list1.toArray(new Integer[0]);


      This solution doesn't use streams, yet it's declarative, because Arrays.parallelPrefix receives the cumulative operation as an argument (Integer::sum in this case).



      Time complexity is O(N), though there might be some not-minor constant costs involved associated with setting up the infrastructure needed for parallel processing. However, according to the docs:




      Parallel prefix computation is usually more efficient than sequential loops for large arrays




      So it seems it's worth giving this approach a try.







      share|improve this answer














      share|improve this answer



      share|improve this answer








      edited 12 hours ago

























      answered yesterday









      Federico Peralta SchaffnerFederico Peralta Schaffner

      23.6k43778




      23.6k43778







      • 1





        Never heard of parallel prefix. thank you very much for teaching me a new concept. :). I will definitely give a try.

        – run_time_error
        yesterday






      • 1





        @run_time_error Here's more reading about the subject.

        – Federico Peralta Schaffner
        yesterday






      • 1





        Don’t make your life unnecessary hard. Use list1.toArray(new Integer[0]). As elaborated in this great article, using a zero size is even more efficient in the commonly used Hotspot JVM. That’s one of the reasons why JDK 11’s new method just does the same: “The default implementation calls the generator function with zero and then passes the resulting array to toArray(T[]).

        – Holger
        15 hours ago






      • 1





        @run_time_error also worth reading: How does newly introduced Arrays.parallelPrefix(…) in Java 8 work?

        – Holger
        15 hours ago












      • 1





        Never heard of parallel prefix. thank you very much for teaching me a new concept. :). I will definitely give a try.

        – run_time_error
        yesterday






      • 1





        @run_time_error Here's more reading about the subject.

        – Federico Peralta Schaffner
        yesterday






      • 1





        Don’t make your life unnecessary hard. Use list1.toArray(new Integer[0]). As elaborated in this great article, using a zero size is even more efficient in the commonly used Hotspot JVM. That’s one of the reasons why JDK 11’s new method just does the same: “The default implementation calls the generator function with zero and then passes the resulting array to toArray(T[]).

        – Holger
        15 hours ago






      • 1





        @run_time_error also worth reading: How does newly introduced Arrays.parallelPrefix(…) in Java 8 work?

        – Holger
        15 hours ago







      1




      1





      Never heard of parallel prefix. thank you very much for teaching me a new concept. :). I will definitely give a try.

      – run_time_error
      yesterday





      Never heard of parallel prefix. thank you very much for teaching me a new concept. :). I will definitely give a try.

      – run_time_error
      yesterday




      1




      1





      @run_time_error Here's more reading about the subject.

      – Federico Peralta Schaffner
      yesterday





      @run_time_error Here's more reading about the subject.

      – Federico Peralta Schaffner
      yesterday




      1




      1





      Don’t make your life unnecessary hard. Use list1.toArray(new Integer[0]). As elaborated in this great article, using a zero size is even more efficient in the commonly used Hotspot JVM. That’s one of the reasons why JDK 11’s new method just does the same: “The default implementation calls the generator function with zero and then passes the resulting array to toArray(T[]).

      – Holger
      15 hours ago





      Don’t make your life unnecessary hard. Use list1.toArray(new Integer[0]). As elaborated in this great article, using a zero size is even more efficient in the commonly used Hotspot JVM. That’s one of the reasons why JDK 11’s new method just does the same: “The default implementation calls the generator function with zero and then passes the resulting array to toArray(T[]).

      – Holger
      15 hours ago




      1




      1





      @run_time_error also worth reading: How does newly introduced Arrays.parallelPrefix(…) in Java 8 work?

      – Holger
      15 hours ago





      @run_time_error also worth reading: How does newly introduced Arrays.parallelPrefix(…) in Java 8 work?

      – Holger
      15 hours ago













      5














      For every index: iterate from zero to that index, get each element, and get the sum

      Box the ints to Integers

      Collect to a list



      IntStream.range(0, list1.size())
      .map(i -> IntStream.rangeClosed(0, i).map(list1::get).sum())
      .boxed()
      .collect(Collectors.toList());


      You're adding every number together every time, rather than reusing the previous cumulative result, but streams do not lend themselves to looking at results from previous iterations.



      You could write your own collector but at this point, honestly why are you even bothering with streams?



      list1.stream()
      .collect(
      Collector.of(
      ArrayList::new,
      (a, b) -> a.add(a.isEmpty() ? b : b + a.get(a.size() - 1)),
      (a, b) -> throw new UnsupportedOperationException();
      )
      );





      share|improve this answer




















      • 5





        That's O(n^2) !! (as opposed to the O(n) of the OP)

        – DodgyCodeException
        yesterday







      • 1





        @DodgyCodeException Yes.

        – Michael
        yesterday











      • @Michael thanks for your elaborate response. I have learnt that I can write my own collector. I know this is overkill. But good to know that there are other ways.

        – run_time_error
        yesterday















      5














      For every index: iterate from zero to that index, get each element, and get the sum

      Box the ints to Integers

      Collect to a list



      IntStream.range(0, list1.size())
      .map(i -> IntStream.rangeClosed(0, i).map(list1::get).sum())
      .boxed()
      .collect(Collectors.toList());


      You're adding every number together every time, rather than reusing the previous cumulative result, but streams do not lend themselves to looking at results from previous iterations.



      You could write your own collector but at this point, honestly why are you even bothering with streams?



      list1.stream()
      .collect(
      Collector.of(
      ArrayList::new,
      (a, b) -> a.add(a.isEmpty() ? b : b + a.get(a.size() - 1)),
      (a, b) -> throw new UnsupportedOperationException();
      )
      );





      share|improve this answer




















      • 5





        That's O(n^2) !! (as opposed to the O(n) of the OP)

        – DodgyCodeException
        yesterday







      • 1





        @DodgyCodeException Yes.

        – Michael
        yesterday











      • @Michael thanks for your elaborate response. I have learnt that I can write my own collector. I know this is overkill. But good to know that there are other ways.

        – run_time_error
        yesterday













      5












      5








      5







      For every index: iterate from zero to that index, get each element, and get the sum

      Box the ints to Integers

      Collect to a list



      IntStream.range(0, list1.size())
      .map(i -> IntStream.rangeClosed(0, i).map(list1::get).sum())
      .boxed()
      .collect(Collectors.toList());


      You're adding every number together every time, rather than reusing the previous cumulative result, but streams do not lend themselves to looking at results from previous iterations.



      You could write your own collector but at this point, honestly why are you even bothering with streams?



      list1.stream()
      .collect(
      Collector.of(
      ArrayList::new,
      (a, b) -> a.add(a.isEmpty() ? b : b + a.get(a.size() - 1)),
      (a, b) -> throw new UnsupportedOperationException();
      )
      );





      share|improve this answer















      For every index: iterate from zero to that index, get each element, and get the sum

      Box the ints to Integers

      Collect to a list



      IntStream.range(0, list1.size())
      .map(i -> IntStream.rangeClosed(0, i).map(list1::get).sum())
      .boxed()
      .collect(Collectors.toList());


      You're adding every number together every time, rather than reusing the previous cumulative result, but streams do not lend themselves to looking at results from previous iterations.



      You could write your own collector but at this point, honestly why are you even bothering with streams?



      list1.stream()
      .collect(
      Collector.of(
      ArrayList::new,
      (a, b) -> a.add(a.isEmpty() ? b : b + a.get(a.size() - 1)),
      (a, b) -> throw new UnsupportedOperationException();
      )
      );






      share|improve this answer














      share|improve this answer



      share|improve this answer








      edited yesterday

























      answered yesterday









      MichaelMichael

      21.1k83572




      21.1k83572







      • 5





        That's O(n^2) !! (as opposed to the O(n) of the OP)

        – DodgyCodeException
        yesterday







      • 1





        @DodgyCodeException Yes.

        – Michael
        yesterday











      • @Michael thanks for your elaborate response. I have learnt that I can write my own collector. I know this is overkill. But good to know that there are other ways.

        – run_time_error
        yesterday












      • 5





        That's O(n^2) !! (as opposed to the O(n) of the OP)

        – DodgyCodeException
        yesterday







      • 1





        @DodgyCodeException Yes.

        – Michael
        yesterday











      • @Michael thanks for your elaborate response. I have learnt that I can write my own collector. I know this is overkill. But good to know that there are other ways.

        – run_time_error
        yesterday







      5




      5





      That's O(n^2) !! (as opposed to the O(n) of the OP)

      – DodgyCodeException
      yesterday






      That's O(n^2) !! (as opposed to the O(n) of the OP)

      – DodgyCodeException
      yesterday





      1




      1





      @DodgyCodeException Yes.

      – Michael
      yesterday





      @DodgyCodeException Yes.

      – Michael
      yesterday













      @Michael thanks for your elaborate response. I have learnt that I can write my own collector. I know this is overkill. But good to know that there are other ways.

      – run_time_error
      yesterday





      @Michael thanks for your elaborate response. I have learnt that I can write my own collector. I know this is overkill. But good to know that there are other ways.

      – run_time_error
      yesterday











      3














      You can use sublist to sum up until the current index from start:



      List<Integer> list = IntStream.range(0, list1.size())
      .mapToObj(i -> list1.subList(0, i + 1).stream().mapToInt(Integer::intValue).sum())
      .collect(Collectors.toList());





      share|improve this answer





























        3














        You can use sublist to sum up until the current index from start:



        List<Integer> list = IntStream.range(0, list1.size())
        .mapToObj(i -> list1.subList(0, i + 1).stream().mapToInt(Integer::intValue).sum())
        .collect(Collectors.toList());





        share|improve this answer



























          3












          3








          3







          You can use sublist to sum up until the current index from start:



          List<Integer> list = IntStream.range(0, list1.size())
          .mapToObj(i -> list1.subList(0, i + 1).stream().mapToInt(Integer::intValue).sum())
          .collect(Collectors.toList());





          share|improve this answer















          You can use sublist to sum up until the current index from start:



          List<Integer> list = IntStream.range(0, list1.size())
          .mapToObj(i -> list1.subList(0, i + 1).stream().mapToInt(Integer::intValue).sum())
          .collect(Collectors.toList());






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited yesterday

























          answered yesterday









          RuslanRuslan

          3,9211027




          3,9211027





















              2














              An O(n) (works only sequentially) solution would be the following, but I don't find it very elegant. I guess it is a matter of taste



              AtomicInteger ai = new AtomicInteger();
              List<Integer> collect = list1.stream()
              .map(ai::addAndGet)
              .collect(Collectors.toList());
              System.out.println(collect); // [1, 3, 6, 10]





              share|improve this answer




















              • 5





                This solution only works as long as the stream is sequential. Parallelising it would break this completely.

                – Ben R.
                yesterday











              • @ben In parallel stream you couldn't have cumulative sum right?

                – Venkataraghavan Yanamandram
                14 hours ago











              • Ruslan's answer allows for parallel streaming. The only stateful operation is over the original list itself, which we can probably assume with relative safety is read-only. Each item in the list in his solution could query over the list independently of the other stream elements.

                – Ben R.
                13 hours ago











              • @VenkataraghavanYanamandram with other solutions yes, but they are O(n^2)

                – Yassin Hajaj
                13 hours ago















              2














              An O(n) (works only sequentially) solution would be the following, but I don't find it very elegant. I guess it is a matter of taste



              AtomicInteger ai = new AtomicInteger();
              List<Integer> collect = list1.stream()
              .map(ai::addAndGet)
              .collect(Collectors.toList());
              System.out.println(collect); // [1, 3, 6, 10]





              share|improve this answer




















              • 5





                This solution only works as long as the stream is sequential. Parallelising it would break this completely.

                – Ben R.
                yesterday











              • @ben In parallel stream you couldn't have cumulative sum right?

                – Venkataraghavan Yanamandram
                14 hours ago











              • Ruslan's answer allows for parallel streaming. The only stateful operation is over the original list itself, which we can probably assume with relative safety is read-only. Each item in the list in his solution could query over the list independently of the other stream elements.

                – Ben R.
                13 hours ago











              • @VenkataraghavanYanamandram with other solutions yes, but they are O(n^2)

                – Yassin Hajaj
                13 hours ago













              2












              2








              2







              An O(n) (works only sequentially) solution would be the following, but I don't find it very elegant. I guess it is a matter of taste



              AtomicInteger ai = new AtomicInteger();
              List<Integer> collect = list1.stream()
              .map(ai::addAndGet)
              .collect(Collectors.toList());
              System.out.println(collect); // [1, 3, 6, 10]





              share|improve this answer















              An O(n) (works only sequentially) solution would be the following, but I don't find it very elegant. I guess it is a matter of taste



              AtomicInteger ai = new AtomicInteger();
              List<Integer> collect = list1.stream()
              .map(ai::addAndGet)
              .collect(Collectors.toList());
              System.out.println(collect); // [1, 3, 6, 10]






              share|improve this answer














              share|improve this answer



              share|improve this answer








              edited 13 hours ago

























              answered yesterday









              Yassin HajajYassin Hajaj

              14.2k72961




              14.2k72961







              • 5





                This solution only works as long as the stream is sequential. Parallelising it would break this completely.

                – Ben R.
                yesterday











              • @ben In parallel stream you couldn't have cumulative sum right?

                – Venkataraghavan Yanamandram
                14 hours ago











              • Ruslan's answer allows for parallel streaming. The only stateful operation is over the original list itself, which we can probably assume with relative safety is read-only. Each item in the list in his solution could query over the list independently of the other stream elements.

                – Ben R.
                13 hours ago











              • @VenkataraghavanYanamandram with other solutions yes, but they are O(n^2)

                – Yassin Hajaj
                13 hours ago












              • 5





                This solution only works as long as the stream is sequential. Parallelising it would break this completely.

                – Ben R.
                yesterday











              • @ben In parallel stream you couldn't have cumulative sum right?

                – Venkataraghavan Yanamandram
                14 hours ago











              • Ruslan's answer allows for parallel streaming. The only stateful operation is over the original list itself, which we can probably assume with relative safety is read-only. Each item in the list in his solution could query over the list independently of the other stream elements.

                – Ben R.
                13 hours ago











              • @VenkataraghavanYanamandram with other solutions yes, but they are O(n^2)

                – Yassin Hajaj
                13 hours ago







              5




              5





              This solution only works as long as the stream is sequential. Parallelising it would break this completely.

              – Ben R.
              yesterday





              This solution only works as long as the stream is sequential. Parallelising it would break this completely.

              – Ben R.
              yesterday













              @ben In parallel stream you couldn't have cumulative sum right?

              – Venkataraghavan Yanamandram
              14 hours ago





              @ben In parallel stream you couldn't have cumulative sum right?

              – Venkataraghavan Yanamandram
              14 hours ago













              Ruslan's answer allows for parallel streaming. The only stateful operation is over the original list itself, which we can probably assume with relative safety is read-only. Each item in the list in his solution could query over the list independently of the other stream elements.

              – Ben R.
              13 hours ago





              Ruslan's answer allows for parallel streaming. The only stateful operation is over the original list itself, which we can probably assume with relative safety is read-only. Each item in the list in his solution could query over the list independently of the other stream elements.

              – Ben R.
              13 hours ago













              @VenkataraghavanYanamandram with other solutions yes, but they are O(n^2)

              – Yassin Hajaj
              13 hours ago





              @VenkataraghavanYanamandram with other solutions yes, but they are O(n^2)

              – Yassin Hajaj
              13 hours ago











              1














              You can just use Stream.collect() for that:



              List<Integer> list1 = Arrays.asList(1, 2, 3, 4);
              List<Integer> list2 = list1.stream()
              .collect(ArrayList::new, (sums, number) ->
              if (sums.isEmpty())
              sums.add(number);
              else
              sums.add(sums.get(sums.size() - 1) + number);

              , (sums1, sums2) ->
              if (!sums1.isEmpty())
              int sum = sums1.get(sums1.size() - 1);
              sums2.replaceAll(num -> sum + num);

              sums1.addAll(sums2);
              );


              This solution also works for parallel streams. Use list1.parallelStream() or list1.stream().parallel() instead of list1.stream().



              The result in both cases is: [1, 3, 6, 10]






              share|improve this answer





























                1














                You can just use Stream.collect() for that:



                List<Integer> list1 = Arrays.asList(1, 2, 3, 4);
                List<Integer> list2 = list1.stream()
                .collect(ArrayList::new, (sums, number) ->
                if (sums.isEmpty())
                sums.add(number);
                else
                sums.add(sums.get(sums.size() - 1) + number);

                , (sums1, sums2) ->
                if (!sums1.isEmpty())
                int sum = sums1.get(sums1.size() - 1);
                sums2.replaceAll(num -> sum + num);

                sums1.addAll(sums2);
                );


                This solution also works for parallel streams. Use list1.parallelStream() or list1.stream().parallel() instead of list1.stream().



                The result in both cases is: [1, 3, 6, 10]






                share|improve this answer



























                  1












                  1








                  1







                  You can just use Stream.collect() for that:



                  List<Integer> list1 = Arrays.asList(1, 2, 3, 4);
                  List<Integer> list2 = list1.stream()
                  .collect(ArrayList::new, (sums, number) ->
                  if (sums.isEmpty())
                  sums.add(number);
                  else
                  sums.add(sums.get(sums.size() - 1) + number);

                  , (sums1, sums2) ->
                  if (!sums1.isEmpty())
                  int sum = sums1.get(sums1.size() - 1);
                  sums2.replaceAll(num -> sum + num);

                  sums1.addAll(sums2);
                  );


                  This solution also works for parallel streams. Use list1.parallelStream() or list1.stream().parallel() instead of list1.stream().



                  The result in both cases is: [1, 3, 6, 10]






                  share|improve this answer















                  You can just use Stream.collect() for that:



                  List<Integer> list1 = Arrays.asList(1, 2, 3, 4);
                  List<Integer> list2 = list1.stream()
                  .collect(ArrayList::new, (sums, number) ->
                  if (sums.isEmpty())
                  sums.add(number);
                  else
                  sums.add(sums.get(sums.size() - 1) + number);

                  , (sums1, sums2) ->
                  if (!sums1.isEmpty())
                  int sum = sums1.get(sums1.size() - 1);
                  sums2.replaceAll(num -> sum + num);

                  sums1.addAll(sums2);
                  );


                  This solution also works for parallel streams. Use list1.parallelStream() or list1.stream().parallel() instead of list1.stream().



                  The result in both cases is: [1, 3, 6, 10]







                  share|improve this answer














                  share|improve this answer



                  share|improve this answer








                  edited yesterday

























                  answered yesterday









                  Samuel PhilippSamuel Philipp

                  2,6151624




                  2,6151624



























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