What is NPipeline?
What is NPipeline?
NPipeline is a powerful and flexible .NET library designed for building high-performance, graph-based streaming data pipelines. It empowers developers to construct complex data processing workflows with ease, focusing on efficiency, testability, and maintainability.
At its core, NPipeline allows you to define a series of interconnected operations (nodes) that process data as it flows through the system. This graph-based approach provides clear visibility into your data's journey, making it simple to design, debug, and optimize your pipelines.
Key Features
- Graph-Based Architecture: Visually intuitive and easy to understand data flow.
- High Performance: Optimized for low memory allocations and efficient data processing.
- Extensible: Easily integrate custom logic and connect to various data sources and destinations.
- Testable: Designed with testability in mind, enabling robust and reliable pipelines.
- Modern .NET: Leverages the latest C# features and asynchronous programming patterns.
How it Works
NPipeline pipelines are constructed using a builder pattern, where you define nodes that act as sources, transforms, or sinks.
- Sources: Initiate the data flow by producing items.
- Transforms: Process and transform data items as they pass through the pipeline.
- Sinks: Consume data items, typically writing them to a destination or performing a final action.
These nodes are connected to form a directed acyclic graph (DAG), ensuring a clear and predictable data path.
Benefits for Developers
- Accelerated Development: Rapidly build and deploy data pipelines with a clear, concise API.
- Improved Maintainability: Graph-based structure and modular components make pipelines easier to understand and modify.
- Enhanced Reliability: Robust error handling and testing mechanisms ensure data integrity.
- Optimal Performance: Achieve high throughput and low latency for demanding data workloads.
Next Steps
- Why NPipeline?: Understand the benefits, design philosophy, and zero-allocation fast paths
- Installation: Get NPipeline set up in your development environment
- Quick Start: Begin building your first pipeline
- Core Concepts: Dive deeper into the fundamental building blocks of NPipeline
Learning Path Recommendation
New to NPipeline? Follow this path:
- Why NPipeline? - Understand the value proposition and design philosophy
- Quick Start - Build your first working pipeline (15 minutes)
- Core Concepts - Understand the building blocks (sources, transforms, sinks)
- Grouping Strategies - Learn the critical choice between batching and aggregation
- Core Resilience Concepts - Build fault-tolerant pipelines
- Optimization Principles - Understand how NPipeline achieves high performance
- Performance Hygiene - Apply optimization patterns to your code