Go Concurrency Patterns

What are Concurrency Patterns?

Concurrency patterns are common ways to organize goroutines and channels.

They help manage multiple tasks efficiently and safely.

Worker Pool Pattern

A worker pool uses multiple goroutines (workers) to process tasks from a shared queue.

This is useful for handling many jobs efficiently.

Fan-Out Pattern

Fan-out means distributing work across multiple goroutines.

Each goroutine processes part of the workload.

Fan-In Pattern

Fan-in collects results from multiple goroutines into a single channel.

This is useful for combining outputs.

Pipeline Pattern

A pipeline processes data in stages using multiple goroutines.

Each stage performs a step and passes data to the next.

Using Channels Safely

Always close channels when no more data will be sent.

This prevents deadlocks and ensures proper program flow.

Why Concurrency Patterns Matter

These patterns are used in real-world systems like APIs, workers, and distributed services.

• Improve performance
• Organize concurrent code
• Handle large workloads efficiently

Common Mistakes

Be careful with these:

• Not closing channels
• Deadlocks
• Goroutine leaks

Real-World Example

Worker pools are commonly used in servers to handle multiple requests.

Practice

Create a worker pool that processes numbers and prints results.

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