How can I use the Java Streams API for advanced data processing?
The Java Streams API allows you to process sequences of elements, such as collections, in a functional style. You can perform operations like filtering, mapping, and reducing data efficiently.
Can you give me an example of using streams to filter and sort a list?
Sure! Here's an example:
List<String> names = Arrays.asList("John", "Jane", "Adam", "Eve");
List<String> sortedNames = names.stream()
.filter(name -> name.startsWith("J"))
.sorted()
.collect(Collectors.toList());
This filters names starting with 'J' and sorts them.
What about using streams with custom objects?
You can use streams with custom objects too! For example, if you have a Person
class, you can filter and sort a list of Person
objects based on their age or name.
Can streams be used for parallel processing?
Yes, absolutely! You can use the parallelStream()
method to process data in parallel, which can improve performance for large datasets.
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