Pipeline

Concurrency is one of Go’s most powerful features, built into the language from the ground up. This comprehensive guide covers all essential concurrency patterns with visual diagrams and practical code examples. Table of Contents Goroutines - Basic Concurrency Channels - Communication Select Statement - Multiplexing Worker Pool Pattern Fan-In Pattern Fan-Out Pattern Pipeline Pattern Semaphore Pattern Barrier Pattern Future/Promise Pattern Rate Limiting Pattern Circuit Breaker Pattern Context Pattern Mutex Pattern WaitGroup Pattern ErrGroup Pattern Goroutines - Basic Concurrency Goroutines are lightweight threads managed by the Go runtime. They enable concurrent execution with minimal overhead. ...

The Producer-Consumer Problem The Producer-Consumer pattern is one of the most fundamental concurrency patterns. It appears everywhere in modern software: Message queues (RabbitMQ, Kafka, SQS) Task processing (background jobs, worker pools) Data pipelines (ETL, streaming analytics) Event systems (event buses, pub/sub) Buffering (I/O buffers, network buffers) The Setup: Producers generate data, consumers process it. They run concurrently and need to coordinate through a shared buffer. The Unbounded Buffer Variant In this first variant, we use an unbounded buffer - the queue can grow infinitely (until we run out of memory). This is the simplest version and showcases Go’s beautiful channel abstraction. ...

← Monte Carlo Pi | Series Overview | Mandelbrot Set → The Problem: Finding Primes with Filters The Sieve of Eratosthenes is an ancient algorithm for finding prime numbers. The concurrent version creates a pipeline of filters: each prime spawns a goroutine that filters out its multiples. The Algorithm: Generate sequence: 2, 3, 4, 5, 6, 7, 8, 9, 10, … Take first number (2), it’s prime, filter all multiples of 2 Take next number (3), it’s prime, filter all multiples of 3 Take next number (5), it’s prime, filter all multiples of 5 Repeat until desired count The Beauty: Each prime creates its own filter. Numbers flow through a pipeline of increasingly selective filters. What passes through all filters must be prime. ...

Go Concurrency Patterns Series: ← Select Statement | Series Overview | Fan-Out/Fan-In → What is the Pipeline Pattern? The Pipeline pattern is a powerful way to structure concurrent data processing by breaking work into stages connected by channels. Each stage runs in its own goroutine, receives data from an input channel, processes it, and sends results to an output channel. This creates a chain of processing stages that can run concurrently, dramatically improving throughput. ...