How to handle errors in League\Pipeline?

You must manage exceptions manually by wrapping stage logic in try-catch blocks or handling them in the calling code, as the package does not intercept exceptions. This is detailed in the 'Exception handling' section of the README.

League Pipeline vs Laravel Pipelines: which is better?

League\Pipeline is a lightweight, framework-agnostic library focused on immutability and composability, while Laravel Pipelines are integrated into the Laravel ecosystem with more built-in features like middleware. Choose League for generic PHP projects needing minimal overhead, and Laravel for Laravel-specific applications.

When should I use the pipeline pattern in PHP?

Use it for sequential processing workflows like API request handling, data transformation, or business logic chains where stages are discrete and reusable. It's ideal for modularizing complex operations into testable units, as shown in the README examples.

How to nest pipelines in League\Pipeline?

Since PipelineInterface extends StageInterface, you can pass an entire pipeline as a stage to another pipeline. The README demonstrates this with an API processing example where one pipeline is nested inside another.

Is League\Pipeline good for ETL processes?

Yes, it's well-suited for ETL due to its immutable and composable nature, allowing you to chain extraction, transformation, and loading stages. However, you'll need to add error handling and logging separately for production robustness.

What are the performance implications of using League\Pipeline?

Performance is generally minimal as it adds lightweight abstraction over sequential processing, but immutability means creating new pipelines for each stage addition, which could have memory overhead in very large chains. Profile for critical paths.

Pipeline — PHP Pipeline Pattern Implementation

What is Pipeline?

League\Pipeline is a PHP package that provides a clean, reusable implementation of the pipeline pattern. It allows developers to chain sequential processing stages, making complex workflows more modular and maintainable by emphasizing immutability and composability.

Target Audience

PHP developers building applications with sequential processing workflows, such as API request handling, data transformation pipelines, or multi-step business logic.

Value Proposition

Developers choose this package for its immutable pipeline design, which minimizes side-effects and enables reuse, and its flexibility in allowing any callable as a stage, including closures, invokable classes, or nested pipelines.

League\Pipeline

Use Cases

Best For

Building modular and reusable sequential processing workflows in PHP applications.
Chaining multiple data transformation or validation stages, such as in ETL (Extract, Transform, Load) processes.
Composing complex API request handling pipelines with stages for execution, parsing, and response conversion.
Implementing business logic pipelines where stages represent discrete steps, like order processing or user registration flows.
Creating testable and maintainable code by isolating stages as callables or classes.
Distributed pipeline composition using PipelineBuilder for scenarios where stages are collected before construction.

Not Ideal For

Projects requiring built-in error recovery or automatic exception handling in pipelines
Workflows that need parallel or asynchronous stage execution for performance optimization
Applications demanding a full-featured workflow engine with logging, monitoring, or state persistence out-of-the-box

Pros & Cons

Pros

Immutable Pipeline Design

Pipelines are immutable stage chains; adding a stage creates a new pipeline, minimizing side-effects and enabling easy reuse, as highlighted in the README's 'Immutability' section.

Flexible Stage Support

Stages can be any callable, including closures, invokable classes, or classes implementing StageInterface, allowing seamless integration with existing PHP code, as demonstrated in the 'Usage' examples.

Composable Execution Patterns

Pipelines can be nested as stages within other pipelines, enabling complex, modular workflows, with the README showing how to reuse pipelines in API processing scenarios.

Builder for Distributed Composition

PipelineBuilder facilitates collecting stages before construction, useful for distributed setup, as explained in the 'Pipeline Builders' section.

Cons

Manual Exception Handling

The package is completely transparent with exceptions, not catching or silencing them, requiring developers to handle errors individually in stages or calling code, which can increase boilerplate.

Sequential-Only Processing

Limited to linear stage execution without support for branching, parallel flows, or conditional logic, making it unsuitable for concurrent task management.

Minimal Feature Set

Lacks built-in features like logging, progress tracking, or persistence, which might necessitate additional libraries or custom code for complex enterprise workflows.

What is Pipeline?

Target Audience

PHP developers building applications with sequential processing workflows, such as API request handling, data transformation pipelines, or multi-step business logic.

Value Proposition

Use Cases

Best For

Building modular and reusable sequential processing workflows in PHP applications.
Chaining multiple data transformation or validation stages, such as in ETL (Extract, Transform, Load) processes.
Composing complex API request handling pipelines with stages for execution, parsing, and response conversion.
Implementing business logic pipelines where stages represent discrete steps, like order processing or user registration flows.
Creating testable and maintainable code by isolating stages as callables or classes.
Distributed pipeline composition using PipelineBuilder for scenarios where stages are collected before construction.

Not Ideal For

Projects requiring built-in error recovery or automatic exception handling in pipelines
Workflows that need parallel or asynchronous stage execution for performance optimization
Applications demanding a full-featured workflow engine with logging, monitoring, or state persistence out-of-the-box

Pros & Cons

Pros

Immutable Pipeline Design

Pipelines are immutable stage chains; adding a stage creates a new pipeline, minimizing side-effects and enabling easy reuse, as highlighted in the README's 'Immutability' section.

Flexible Stage Support

Composable Execution Patterns

Pipelines can be nested as stages within other pipelines, enabling complex, modular workflows, with the README showing how to reuse pipelines in API processing scenarios.

Builder for Distributed Composition

PipelineBuilder facilitates collecting stages before construction, useful for distributed setup, as explained in the 'Pipeline Builders' section.

Cons

Manual Exception Handling

The package is completely transparent with exceptions, not catching or silencing them, requiring developers to handle errors individually in stages or calling code, which can increase boilerplate.

Sequential-Only Processing

Limited to linear stage execution without support for branching, parallel flows, or conditional logic, making it unsuitable for concurrent task management.

Minimal Feature Set

Lacks built-in features like logging, progress tracking, or persistence, which might necessitate additional libraries or custom code for complex enterprise workflows.

Pipeline

What is Pipeline?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?

Pipeline

What is Pipeline?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?