What are the advantages of Java stream processing?

Advantages of Java stream processing include:

1. Concise: Using stream processing allows for multiple operations to be chained together, enabling code to be written compactly in a few lines, improving code readability and maintainability.
2. Functional programming: stream processing supports the idea of functional programming, allowing the use of Lambda expressions to define operation logic, making the code more concise and flexible.
3. Concurrent Processing: Stream processing can automatically parallelize operations, taking full advantage of the performance of multi-core processors to improve the program’s execution speed.
4. Delayed computation: Stream processing supports delayed computation, where actual calculations are only performed when results are needed, reducing unnecessary computation and improving program efficiency.
5. Internal iteration: Stream processing utilizes internal iteration to process data, eliminating the need for explicit iteration operations and reducing code complexity.
6. Scalability: Stream processing offers a wide range of operation functions such as filtering, mapping, sorting, and even allows for customization of functions, giving programs high flexibility and scalability.

In conclusion, Java stream processing simplifies code, improves efficiency, and enhances maintainability through its concise syntax, functional programming principles, and parallel processing capabilities.