jimhooker2002 jimhooker2002 - 1 year ago 594
Java Question

Java 8 Streams - collect vs reduce

When would you use collect() vs reduce()? Does anyone have good, concrete examples of when it's definitely better to go one way or the other?

Javadoc mentions that collect() is a mutable reduction: http://docs.oracle.com/javase/8/docs/api/java/util/stream/package-summary.html#Reduction

Given that it's a mutable reduction, I assume it requires synchronization (internally) which, in turn, can be detrimental to performance. Presumably reduce() is more readily parallelizable at the cost of having to create a new data structure for return after every step in the reduce.

The above statements are guesswork however and I'd love an expert to chime in here.

Answer Source

First, the return values are different:

<R,A> R collect(Collector<? super T,A,R> collector)

T reduce(T identity, BinaryOperator<T> accumulator)

So collect returns any R whereas reduce returns T - the type of the Stream.

reduce is a "fold" operation, it applies a binary operator to each element in the stream where the first argument to the operator is the return value of the previous application and the second argument is the current stream element.

collection is an aggregation operation where a "collection" is created and each element is "added" to that collection. Collections in different parts of the stream are then added together.

The document you linked gives the reason for having two different approaches:

If we wanted to take a stream of strings and concatenate them into a single long string, we could achieve this with ordinary reduction:

 String concatenated = strings.reduce("", String::concat)  

We would get the desired result, and it would even work in parallel. However, we might not be happy about the performance! Such an implementation would do a great deal of string copying, and the run time would be O(n^2) in the number of characters. A more performant approach would be to accumulate the results into a StringBuilder, which is a mutable container for accumulating strings. We can use the same technique to parallelize mutable reduction as we do with ordinary reduction.

So the point is that the parallelisation is the same in both cases but in the reduce case we apply the function so the stream elements themselves. In the collect case we apply the function to a mutable container.

Recommended from our users: Dynamic Network Monitoring from WhatsUp Gold from IPSwitch. Free Download