Sometimes, mutating outside the state is called conducting side-effects. Remember that the lambda expressions you write should avoid mutating their outside scope. This method is so simple that you may be tempted to use it in wrong use cases.
OPERATION JAVA CODE
Running this code prints out the following. Stream strings = Stream.of("one", "two", "three", "four") This method is very handy for printing the elements processed by a stream. The forEach() method of the Stream API allows you to pass each element of your stream to an instance of the Consumer interface. Running this code produces the following result. Here is an example of the count() method in action. This is the reason why the Stream API supports it. There are many ways where you may end up with more elements to process than Integer.MAX_VALUE. The flatMap() method, which we covered earlier in this tutorial can do that. Even if it is not the case, it is easy to create an intermediate operation that will multiply the number of elements your stream processes. In fact, you can create streams with many sources, including sources that can produce huge amounts of elements, greater than Integer.MAX_VALUE. You may be wondering why you would need such a great number. This number can be huge, in fact greater than Integer.MAX_VALUE, because it is a long. It just returns the number of elements processed by that stream, in a long. The count() method is present in all the stream interfaces: both in specialized streams and streams of objects. In fact, you should use this reduce() method as a last resort, only if you have no other solution.Ĭounting the Elements Processed by a Stream We are going to cover more methods in this part, which you should know, to avoid using the reduce() method. If you can avoid using the reduce() method, then you definitely should, because it's very easy to make mistakes with it.įortunately, the Stream API offers you many other ways to reduce streams: the sum(), min(), and max() that we covered when we presented the specialized streams of numbers are convenient methods that you can use instead of the equivalent reduce() calls. You need to check many points to make sure your code is correct and produces the results you expect.
You need to make sure that the binary operator you provide is associative, then you need to know if it has an identity element. Using the reduce() method is not the easiest way to reduce a stream. Let us now present the other terminal operations you can use on a stream. We already covered the terminal operation reduce(), and you saw several terminal operations in other examples. A stream does not process any data if it does not end with a terminal operation.
0 kommentar(er)
