Question 1

How to handle errors in p-pipe pipelines?

Accepted Answer

Wrap each async function in try-catch blocks or use higher-order functions to catch errors, as p-pipe itself doesn't handle errors. For instance, you can compose functions that return promises with rejection handling before passing them to p-pipe.

Question 2

p-pipe vs p-waterfall: which one should I use?

Accepted Answer

Use p-pipe for creating reusable composed functions that execute sequentially, while p-waterfall is better for one-off series executions where each function passes results to the next. p-pipe is more modular and reusable.

Question 3

Can p-pipe run functions in parallel?

Accepted Answer

No, p-pipe only supports sequential execution from left to right. For parallel execution, you need to use other libraries like Promise.all or tools from the promise-fun ecosystem, such as p-all.

Question 4

How to compose synchronous functions with p-pipe?

Accepted Answer

p-pipe works with functions that return any value, including synchronous returns, but it's designed for promises. Synchronous functions will be wrapped in promises automatically, but for pure sync composition, native methods like compose might be simpler.

Question 5

Is p-pipe suitable for large-scale applications?

Accepted Answer

p-pipe is lightweight and focused, making it good for modular async workflows, but in large apps with complex error handling or concurrency needs, you might need to supplement it with additional libraries or custom code.

Question 6

What are good alternatives to p-pipe for async composition?

Accepted Answer

Alternatives include using native promise chaining, async/await with helper functions, or libraries like async.js for features like parallel execution and error handling. For a minimal approach similar to p-pipe, consider Ramda's composeP or similar functional utilities.

p-pipe

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