A parallelized stream implementation for Elixir that maintains order while processing with a worker pool.
ParallelStream is an Elixir library that provides parallelized implementations of common stream operations like map, each, filter, and reject. It solves the problem of slow sequential stream processing by distributing work across multiple concurrent workers while maintaining the original order of elements, significantly improving performance for CPU-intensive or I/O-bound tasks.
Elixir developers working with large datasets or performance-sensitive stream operations who need to leverage concurrency while preserving processing order.
Developers choose ParallelStream because it offers a simple, drop-in replacement for Elixir's standard stream functions with automatic parallelization, requiring minimal code changes while providing substantial performance improvements through its worker pool architecture.
A parallelized stream implementation for Elixir
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Maintains the original sequence of elements despite concurrent execution, ensuring predictable output crucial for data integrity in streams.
Functions like ParallelStream.map directly mirror Elixir's Stream module, allowing easy integration with minimal code changes to existing pipelines.
Uses a configurable pool of workers to manage concurrency, optimizing resource utilization for CPU-intensive or I/O-bound tasks as highlighted in the README.
Designed to handle large collections by distributing work across multiple workers, leading to significant speedups in appropriate scenarios like batch processing.
Only supports map, each, filter, and reject; lacks advanced stream functions, which may require manual workarounds for complex transformations.
For small datasets or simple operations, the cost of managing a worker pool can result in slower performance compared to sequential processing.
The README doesn't mention error recovery or retry mechanisms, complicating fault-tolerant applications in parallel execution.