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Interactive Java Stream Operations

Overview

Enhance the Employee Management System with interactive stream operations to provide real-time data processing capabilities and improved user experience.

Implementation Plan

Phase 1: Interactive Query Interface

  • Add command-line interface for dynamic employee queries
  • Implement interactive filters (department, salary range, hire date)
  • Support chained operations for complex data analysis

Phase 2: Advanced Stream Operations

  • Temporal Queries: Find employees hired within custom date ranges
  • Salary Analytics: Percentile calculations and salary distribution analysis
  • Department Insights: Cross-departmental comparisons and metrics
  • Performance Tracking: Employee tenure and promotion analysis

Phase 3: Real-time Processing Features

  • Live Filtering: Dynamic predicate composition based on user input
  • Streaming Aggregations: Real-time calculation updates as data changes
  • Custom Collectors: Business-specific data aggregation patterns
  • Pipeline Optimization: Efficient stream operation chaining

Technical Requirements

Core Enhancements

// Interactive query builder
public class EmployeeQueryBuilder {
    public EmployeeQueryBuilder filterByDepartment(String dept);
    public EmployeeQueryBuilder filterBySalaryRange(double min, double max);
    public EmployeeQueryBuilder filterByHireDateAfter(LocalDate date);
    public List<Employee> execute();
}

// Advanced analytics
public class EmployeeAnalytics {
    public Map<String, SalaryStatistics> getDepartmentSalaryStats();
    public List<Employee> findEmployeesInPercentile(double percentile);
    public Map<String, List<Employee>> getPromotionCandidates();
}

Performance Considerations

  • Implement parallel stream processing for large datasets
  • Add caching for frequently accessed aggregations
  • Optimize collector implementations for memory efficiency

Acceptance Criteria

  • Interactive command-line interface responds to user queries
  • Support for complex multi-criteria filtering
  • Real-time calculation of salary statistics and department metrics
  • Efficient processing of large employee datasets
  • Comprehensive test coverage for all stream operations
  • Performance benchmarks for parallel vs sequential processing

Business Value

  • Enables HR teams to perform ad-hoc employee analysis
  • Provides real-time insights into departmental performance
  • Supports data-driven decision making for compensation and hiring
  • Demonstrates advanced functional programming capabilities

Dependencies

  • Existing Employee and EmployeeManagementSystem classes
  • Maven build configuration
  • JUnit for testing framework