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Sample Applications

This guide provides practical examples of NPipeline implementations, organized by skill level and complexity. Each sample demonstrates specific concepts and patterns you can apply to your own pipelines.

Location: All samples are located in the /samples/ directory of the repository. Each sample includes complete source code, configuration files, and a README with detailed explanations.

👋 Recommended Learning Path​

New to NPipeline? Follow this path to master the framework:

  1. Start Here: Sample 01: Basic Pipeline (1-2 hours)

    • Learn the fundamentals: sources, transforms, sinks, and how data flows
    • This is your "Hello World" of NPipeline

  2. Build Your Foundation: Samples 2-5 (2-3 hours)

    • File processing, error handling, data transformation, and parallelism
    • Strengthen core concepts with hands-on examples

  3. Add Resilience: Sample 06: Advanced Error Handling (1 hour)

    • Learn production-ready error recovery patterns
    • Understand retries and circuit breakers

  4. Choose Your Focus (ongoing)

    • Data Processing → Samples 7-9 - Enrichment, CSV, analytics
    • Performance → Samples 11-12 - Custom nodes, optimization
    • Streaming → Samples 15-16 - Windowing, time-based processing
    • Complex Joins → Samples 17-20 - Keyed joins, temporal logic

Already know what you need?​

Jump directly to samples by topic:

What Each Sample Includes​

Every sample comes with:

  • Complete source code with comments explaining key concepts
  • Configuration files showing best practices
  • README with detailed explanations and setup instructions
  • Performance characteristics and tuning guidance
  • Real-world scenario context and business logic

Sample Breakdown by Skill Level​

Basic Samples (1-5)​

Perfect for learning NPipeline fundamentals:

  • Sample 01: Basic Pipeline - Hello World of NPipeline
  • Sample 02: File Processing - Stream processing files efficiently
  • Sample 03: Basic Error Handling - Essential error handling patterns
  • Sample 04: Simple Data Transformation - Validation, filtering, enrichment
  • Sample 05: Parallel Processing - Leveraging multiple CPU cores

→ View all Basic Samples

Intermediate Samples (6-10)​

Building real-world features:

  • Sample 06: Advanced Error Handling - Production resilience patterns
  • Sample 07: LookupNode - Data enrichment from external sources
  • Sample 08: CSV Connector - CSV processing pipelines
  • Sample 09: AggregateNode - Real-time analytics with windowing
  • Sample 10: BranchNode - Parallel data distribution

→ View all Intermediate Samples

Advanced Samples (11-23)​

Production-grade scenarios:

  • 11-12: Foundational concepts (custom nodes, performance optimization)
  • 13-14: Data processing patterns (batching, unbatching)
  • 15-16: Stream processing and windowing (time-based, session-based, dynamic)
  • 17-20: Complex joins and merging (keyed, temporal, custom merge)
  • 21-23: Event-time processing, monitoring, end-to-end scenarios

→ View all Advanced Samples

Learning Paths​

Choose the path that matches your goals:

Minimum Path (1-2 hours)​

Get started quickly with essentials:

  • Sample 01: Basic Pipeline
  • Sample 03: Basic Error Handling
  • Sample 04: Simple Data Transformation

Foundation Path (4-5 hours)​

Build a solid understanding:

  • All Basic Samples (1-5)
  • Sample 06: Advanced Error Handling
  • Sample 09: AggregateNode

Comprehensive Path (8+ hours)​

Master all patterns:

  • All Basic Samples (1-5)
  • All Intermediate Samples (6-10)
  • All Advanced Samples (11-23)