Stream Processing Techniques
Stream Processing Overview
Primitive streams provide powerful processing techniques for efficient data manipulation and analysis.
Processing Pipeline Stages
graph LR
A[Stream Source] --> B[Intermediate Operations]
B --> C[Terminal Operations]
C --> D[Result/Side Effect]
Filtering
IntStream numbers = IntStream.of(1, 2, 3, 4, 5, 6);
IntStream evenNumbers = numbers.filter(n -> n % 2 == 0);
Mapping
IntStream squared = IntStream.of(1, 2, 3, 4, 5)
.map(n -> n * n);
2. Reduction Operations
Operation |
Description |
Example |
sum() |
Calculates total sum |
IntStream.of(1,2,3).sum() |
average() |
Computes arithmetic mean |
IntStream.of(1,2,3).average() |
max() |
Finds maximum value |
IntStream.of(1,2,3).max() |
min() |
Finds minimum value |
IntStream.of(1,2,3).min() |
3. Aggregate Functions
IntStream numbers = IntStream.of(1, 2, 3, 4, 5);
// Multiple aggregate operations
IntSummaryStatistics stats = numbers.summaryStatistics();
System.out.println("Count: " + stats.getCount());
System.out.println("Sum: " + stats.getSum());
System.out.println("Average: " + stats.getAverage());
4. Advanced Processing Techniques
Boxed Conversion
List<Integer> numberList = IntStream.of(1, 2, 3, 4, 5)
.boxed()
.collect(Collectors.toList());
Parallel Processing
IntStream parallelStream = IntStream.range(1, 1000)
.parallel()
.filter(n -> n % 2 == 0);
5. Specialized Stream Methods
IntStream numbers = IntStream.of(1, 2, 3, 4, 5);
// Sorted stream
IntStream sortedStream = numbers.sorted();
// Distinct elements
IntStream distinctStream = numbers.distinct();
graph TD
A[Stream Processing] --> B[Sequential Processing]
A --> C[Parallel Processing]
B --> D[Single Thread]
C --> E[Multiple Threads]
D --> F[Lower Overhead]
E --> G[Higher Throughput]
Best Practices
- Use appropriate intermediate and terminal operations
- Consider performance implications
- Leverage parallel processing for large datasets
- Explore stream capabilities in LabEx's Java environment
Error Handling
OptionalInt result = IntStream.of(1, 2, 3)
.filter(n -> n > 10)
.findFirst();
// Safe retrieval
int value = result.orElse(-1);
Conclusion
Primitive stream processing techniques provide robust, efficient methods for numeric data manipulation, offering developers powerful tools for complex computational tasks.