though I appreciate with streams this can be a bit tricky. I know this is a week old, so please forgive me if you have already cracked this, but just to add to the theoretical explanation offered above (which is quite the same as in the OCP book), to help in understanding how parallel streams are working with reduce, debug always helps. Values to produce a final result.If you give different accumulator, combiner then you can't expect the results.Ĭharacter at a time, in a parallel stream, the intermediate strings OC and P8 could have been On parallel streams, the reduce() method works by applying (accumulator ) the reduction to pairs ofĮlements within the stream to create intermediate values and then combining(combiner) those intermediate Operations can be performed using a parallel stream and the results will be ordered as they If you follow these principles when building your reduce() arguments, then the This function should be compatibleĪccumulator otherwise you can't expect the results. identity is the initial value for this.ģ.combiner : It works on intermediate results of accumulator. accumulator :It takes two values from Stream and performs operation as it is implemented. When you are giving arguments to the above method, you must take care of the following points.ġ.identity: This is the initial value to accumulator.Ģ. ![]() U reduce(U identity, BiFunction accumulator,BinaryOperator combiner) ![]() Reduce method third version method declaration is I don't know how the parallel streams process each element in reduce().
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