42.2K
OFThe Stream API, introduced in Java 8, provides a modern and functional approach to processing collections of objects.
It allows developers to perform complex data processing tasks, such as filtering, mapping, and reducing, in a declarative and parallelizable manner.
Key Features of Stream API
1. Declarative Style: Allows you to express complex data processing queries clearly and briefly.
2. Lazy Evaluation: Streams are evaluated lazily, meaning that computations on the stream are not performed until results are actually needed.
3. Parallel Processing: Easily parallelize stream operations to improve performance on multi-core processors.
4. Functional Operations: Supports functional-style operations like map, filter, reduce, collect, and more.
Stream API Components
• Stream Source: The data source for a stream, such as a collection, array, or I/O channel.
• Intermediate Operations: Transformations that return a new stream (e.g., map, filter, sorted). These operations are lazy.
Terminal Operations: Operations that produce a result or a side-effect (e.g., forEach, collect, reduce). These operations trigger the stream processing.
List<String> result = strings.stream()
.filter(s -> s.startsWith(“a”) || s.startsWith(“b”)) // Intermediate operation: filter
.map(String::toUpperCase) // Intermediate operation: map
.sorted() // Intermediate operation: sorted
.collect(Collectors.toList()); // Terminal operation: collect
// Print the result
result.forEach(System.out::println);
List<Integer> result = numbers.parallelStream()
.filter(n -> n % 2 == 0)
.
.
.
#coding #software #softwaredeveloper #job #fang #google #amazon #development #developer #career #singleinheritance #programming #leetcode #codingquestions #googleinterview #microsoftinterview #softwareengineer #amazonjobs #softwaredevelopment #problemsolving #comparable #interview #dynamicprogramming
#java8 #streamapi #dsaquestions #dsa #datastructures #algorithm #itsruntym
@offthecollege_otc
