Chapter 8 ▪ Streams
Streams provide a view of data that lets you specify computations at a higher conceptual level than with collections. With a stream, you specify what you want to have done, not how to do it. You leave the scheduling of operations to the implementation. For example, suppose you want to compute the average of a certain property. You specify the source of data and the property, and the stream library can then optimize the computation, for example by using multiple threads for computing sums and counts and combining the results.
The key points of this chapter are:
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Iterators imply a specific traversal strategy and prohibit efficient concurrent execution.
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You can create streams from collections, arrays, generators, or iterators. ...
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