The java.util.stream
package, introduced in Java 8, revolutionizes how Java developers process collections and arrays by offering a powerful and expressive functional-style API for handling data in a declarative and pipeline-based manner. It does not replace collections but enhances their capabilities by allowing complex data transformations and queries using Streams.
What is a Stream?
In Java, a Stream is a sequence of elements that supports sequential and parallel aggregate operations. It is not a data structure itself but rather a view of data from a source like a Collection
, array, or I/O channel.
The main advantage of using a Stream is its ability to express data processing logic concisely, making the code easier to read and maintain.
Key Features
Declarative Data Processing
- Instead of using loops and conditionals, Streams allow you to describe what should be done with the data, not how to do it.
- Example:
names.stream().filter(name -> name.length() > 3).collect(Collectors.toList());
Pipeline Architecture
- A Stream pipeline consists of a source, zero or more intermediate operations, and a terminal operation.
- Example:
stream().filter().map().sorted().collect();
Lazy Evaluation
- Intermediate operations are not executed until a terminal operation is invoked. This results in optimized execution.
Parallel Processing
- You can easily convert a stream to a parallel stream using
.parallelStream()
to leverage multicore processors for performance improvement.
Non-Destructive
- Stream operations do not modify the original data source. They produce a new stream or result.
For more relavent practice of java8 streams…
Introduction to Streams
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