The limit() and skip() methods in Java Streams are used to control the number of elements in a stream, but they serve different purposes:
1. limit()
The limit(n) method is used to truncate the stream to the first n elements.
Key Characteristics:
- Keeps only the first n elements of the stream.
- Stops processing after n elements, making it useful for performance optimizations with large streams.
List<Integer> numbers = List.of(1, 2, 3, 4, 5);
List<Integer> limited = numbers.stream()
.limit(3)
.collect(Collectors.toList());
System.out.println(limited); // Output: [1, 2, 3]
Use Cases:
- Fetching a small subset of data (e.g., top 10 results).
- Paging or displaying limited records.
2. skip()
The skip(n) method is used to discard the first n elements of the stream and return the remaining elements.
Key Characteristics:
- Skips the first n elements.
- The resulting stream starts from the (n+1)th element.
Example
List<Integer> numbers = List.of(1, 2, 3, 4, 5);
List<Integer> skipped = numbers.stream()
.skip(2)
.collect(Collectors.toList());
System.out.println(skipped); // Output: [3, 4, 5]
Use Cases:
- Ignoring initial elements in processing.
- Paging or scrolling data (e.g., skipping records for pagination).
Using Both Together
You can combine limit() and skip() for scenarios like pagination, where you need to fetch a specific range of elements.
Example: Pagination
Suppose you have a list of elements and want to fetch page 2 with a page size of 3 (elements 4–6).
List<Integer> numbers = List.of(1, 2, 3, 4, 5, 6, 7, 8, 9);
int page = 2;
int pageSize = 3;
List<Integer> pageData = numbers.stream()
.skip((page - 1) * pageSize) // Skip the first 3 elements
.limit(pageSize) // Fetch the next 3 elements
.collect(Collectors.toList());
System.out.println(pageData); // Output: [4, 5, 6]
Key Points to Remember
limit() is for taking a subset of elements from the beginning of the stream.
skip() is for skipping elements from the beginning of the stream.
Both methods are intermediate operations, meaning they can be chained with other stream methods.
They are particularly useful in data slicing, such as implementing pagination or controlling data flow in large datasets.
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