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Cheers, Eugen. In this tutorial, we'll discuss some examples of how to use Java Stream s to work with Map s. It's worth noting that some of these exercises could be solved using a bidirectional Map data structure, but we're interested here in a functional approach.
First, we'll explain the basic idea we'll be using to work with Maps and Stream s. Then we'll present a couple of different problems related to Maps and their concrete fishing boats for sale olx ltd using Stream s. The principal thing to notice is that Stream s are sequences of elements which can be easily obtained from a Collection. Maps have a different structure, with a mapping from keys to fishing boats for sale olx ltd, without sequence.
However, this doesn't mean that we can't convert a Map structure into different sequences which then allow us to work in a natural way with the Stream API. Let's see ways of obtaining different Collection s from a Mapwhich we can then pivot into a Stream :.
Since the book title could not exist in our Mapwe want to be able to indicate that there is no associated ISBN for it. We can use an Optional to express that:. Let's analyze the code. First, we obtain the entrySet from the Mapas we saw previously. We're not interested in the whole Map entry, fishing boats for sale olx ltd in the key of each entry.
So the next chained intermediate operation does just that: it is a map operation that will generate a new stream as output, which will contain only the keys for the entries that matched the title we were fishing boats for sale olx ltd. As we only want one result, we can apply the findFirst terminal operation, which will provide the initial value in the Stream as an Optional object. Now let's change the problem to see how we could deal with returning multiple results instead of one.
This time we collect the resultsinstead of just picking the first, and put the matches into a List. Now let's focus on a different problem with maps. Let's use the original Map. This solution is similar to the solutions of our previous set of problems; we stream the entry set, and then filter, map, and collect. Also like before, if we wanted to return only the first match, then after the map method we could call the findFirst method instead of collecting all the results in a List.
In particular, we have seen that once we switch to using the associated collections to Map s, processing using Stream s becomes much easier and intuitive. Of course, all of the examples in this article can be found in the GitHub project. Persistence The Persistence with Spring guides. Security The Spring Security guides. Full Archive The high level overview of all the articles on the site.
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