wshobson / go-concurrency-patterns
Install for your project team
Run this command in your project directory to install the skill for your entire team:
mkdir -p .claude/skills/go-concurrency-patterns && curl -L -o skill.zip "https://fastmcp.me/Skills/Download/445" && unzip -o skill.zip -d .claude/skills/go-concurrency-patterns && rm skill.zip
Project Skills
This skill will be saved in .claude/skills/go-concurrency-patterns/ and checked into git. All team members will have access to it automatically.
Important: Please verify the skill by reviewing its instructions before using it.
Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions.
3 views
0 installs
Skill Content
---
name: go-concurrency-patterns
description: Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions.
---
# Go Concurrency Patterns
Production patterns for Go concurrency including goroutines, channels, synchronization primitives, and context management.
## When to Use This Skill
- Building concurrent Go applications
- Implementing worker pools and pipelines
- Managing goroutine lifecycles
- Using channels for communication
- Debugging race conditions
- Implementing graceful shutdown
## Core Concepts
### 1. Go Concurrency Primitives
| Primitive | Purpose |
|-----------|---------|
| `goroutine` | Lightweight concurrent execution |
| `channel` | Communication between goroutines |
| `select` | Multiplex channel operations |
| `sync.Mutex` | Mutual exclusion |
| `sync.WaitGroup` | Wait for goroutines to complete |
| `context.Context` | Cancellation and deadlines |
### 2. Go Concurrency Mantra
```
Don't communicate by sharing memory;
share memory by communicating.
```
## Quick Start
```go
package main
import (
"context"
"fmt"
"sync"
"time"
)
func main() {
ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
defer cancel()
results := make(chan string, 10)
var wg sync.WaitGroup
// Spawn workers
for i := 0; i < 3; i++ {
wg.Add(1)
go worker(ctx, i, results, &wg)
}
// Close results when done
go func() {
wg.Wait()
close(results)
}()
// Collect results
for result := range results {
fmt.Println(result)
}
}
func worker(ctx context.Context, id int, results chan<- string, wg *sync.WaitGroup) {
defer wg.Done()
select {
case <-ctx.Done():
return
case results <- fmt.Sprintf("Worker %d done", id):
}
}
```
## Patterns
### Pattern 1: Worker Pool
```go
package main
import (
"context"
"fmt"
"sync"
)
type Job struct {
ID int
Data string
}
type Result struct {
JobID int
Output string
Err error
}
func WorkerPool(ctx context.Context, numWorkers int, jobs <-chan Job) <-chan Result {
results := make(chan Result, len(jobs))
var wg sync.WaitGroup
for i := 0; i < numWorkers; i++ {
wg.Add(1)
go func(workerID int) {
defer wg.Done()
for job := range jobs {
select {
case <-ctx.Done():
return
default:
result := processJob(job)
results <- result
}
}
}(i)
}
go func() {
wg.Wait()
close(results)
}()
return results
}
func processJob(job Job) Result {
// Simulate work
return Result{
JobID: job.ID,
Output: fmt.Sprintf("Processed: %s", job.Data),
}
}
// Usage
func main() {
ctx, cancel := context.WithCancel(context.Background())
defer cancel()
jobs := make(chan Job, 100)
// Send jobs
go func() {
for i := 0; i < 50; i++ {
jobs <- Job{ID: i, Data: fmt.Sprintf("job-%d", i)}
}
close(jobs)
}()
// Process with 5 workers
results := WorkerPool(ctx, 5, jobs)
for result := range results {
fmt.Printf("Result: %+v\n", result)
}
}
```
### Pattern 2: Fan-Out/Fan-In Pipeline
```go
package main
import (
"context"
"sync"
)
// Stage 1: Generate numbers
func generate(ctx context.Context, nums ...int) <-chan int {
out := make(chan int)
go func() {
defer close(out)
for _, n := range nums {
select {
case <-ctx.Done():
return
case out <- n:
}
}
}()
return out
}
// Stage 2: Square numbers (can run multiple instances)
func square(ctx context.Context, in <-chan int) <-chan int {
out := make(chan int)
go func() {
defer close(out)
for n := range in {
select {
case <-ctx.Done():
return
case out <- n * n:
}
}
}()
return out
}
// Fan-in: Merge multiple channels into one
func merge(ctx context.Context, cs ...<-chan int) <-chan int {
var wg sync.WaitGroup
out := make(chan int)
// Start output goroutine for each input channel
output := func(c <-chan int) {
defer wg.Done()
for n := range c {
select {
case <-ctx.Done():
return
case out <- n:
}
}
}
wg.Add(len(cs))
for _, c := range cs {
go output(c)
}
// Close out after all inputs are done
go func() {
wg.Wait()
close(out)
}()
return out
}
func main() {
ctx, cancel := context.WithCancel(context.Background())
defer cancel()
// Generate input
in := generate(ctx, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
// Fan out to multiple squarers
c1 := square(ctx, in)
c2 := square(ctx, in)
c3 := square(ctx, in)
// Fan in results
for result := range merge(ctx, c1, c2, c3) {
fmt.Println(result)
}
}
```
### Pattern 3: Bounded Concurrency with Semaphore
```go
package main
import (
"context"
"fmt"
"golang.org/x/sync/semaphore"
"sync"
)
type RateLimitedWorker struct {
sem *semaphore.Weighted
}
func NewRateLimitedWorker(maxConcurrent int64) *RateLimitedWorker {
return &RateLimitedWorker{
sem: semaphore.NewWeighted(maxConcurrent),
}
}
func (w *RateLimitedWorker) Do(ctx context.Context, tasks []func() error) []error {
var (
wg sync.WaitGroup
mu sync.Mutex
errors []error
)
for _, task := range tasks {
// Acquire semaphore (blocks if at limit)
if err := w.sem.Acquire(ctx, 1); err != nil {
return []error{err}
}
wg.Add(1)
go func(t func() error) {
defer wg.Done()
defer w.sem.Release(1)
if err := t(); err != nil {
mu.Lock()
errors = append(errors, err)
mu.Unlock()
}
}(task)
}
wg.Wait()
return errors
}
// Alternative: Channel-based semaphore
type Semaphore chan struct{}
func NewSemaphore(n int) Semaphore {
return make(chan struct{}, n)
}
func (s Semaphore) Acquire() {
s <- struct{}{}
}
func (s Semaphore) Release() {
<-s
}
```
### Pattern 4: Graceful Shutdown
```go
package main
import (
"context"
"fmt"
"os"
"os/signal"
"sync"
"syscall"
"time"
)
type Server struct {
shutdown chan struct{}
wg sync.WaitGroup
}
func NewServer() *Server {
return &Server{
shutdown: make(chan struct{}),
}
}
func (s *Server) Start(ctx context.Context) {
// Start workers
for i := 0; i < 5; i++ {
s.wg.Add(1)
go s.worker(ctx, i)
}
}
func (s *Server) worker(ctx context.Context, id int) {
defer s.wg.Done()
defer fmt.Printf("Worker %d stopped\n", id)
ticker := time.NewTicker(time.Second)
defer ticker.Stop()
for {
select {
case <-ctx.Done():
// Cleanup
fmt.Printf("Worker %d cleaning up...\n", id)
time.Sleep(500 * time.Millisecond) // Simulated cleanup
return
case <-ticker.C:
fmt.Printf("Worker %d working...\n", id)
}
}
}
func (s *Server) Shutdown(timeout time.Duration) {
// Signal shutdown
close(s.shutdown)
// Wait with timeout
done := make(chan struct{})
go func() {
s.wg.Wait()
close(done)
}()
select {
case <-done:
fmt.Println("Clean shutdown completed")
case <-time.After(timeout):
fmt.Println("Shutdown timed out, forcing exit")
}
}
func main() {
// Setup signal handling
ctx, cancel := context.WithCancel(context.Background())
sigCh := make(chan os.Signal, 1)
signal.Notify(sigCh, syscall.SIGINT, syscall.SIGTERM)
server := NewServer()
server.Start(ctx)
// Wait for signal
sig := <-sigCh
fmt.Printf("\nReceived signal: %v\n", sig)
// Cancel context to stop workers
cancel()
// Wait for graceful shutdown
server.Shutdown(5 * time.Second)
}
```
### Pattern 5: Error Group with Cancellation
```go
package main
import (
"context"
"fmt"
"golang.org/x/sync/errgroup"
"net/http"
)
func fetchAllURLs(ctx context.Context, urls []string) ([]string, error) {
g, ctx := errgroup.WithContext(ctx)
results := make([]string, len(urls))
for i, url := range urls {
i, url := i, url // Capture loop variables
g.Go(func() error {
req, err := http.NewRequestWithContext(ctx, "GET", url, nil)
if err != nil {
return fmt.Errorf("creating request for %s: %w", url, err)
}
resp, err := http.DefaultClient.Do(req)
if err != nil {
return fmt.Errorf("fetching %s: %w", url, err)
}
defer resp.Body.Close()
results[i] = fmt.Sprintf("%s: %d", url, resp.StatusCode)
return nil
})
}
// Wait for all goroutines to complete or one to fail
if err := g.Wait(); err != nil {
return nil, err // First error cancels all others
}
return results, nil
}
// With concurrency limit
func fetchWithLimit(ctx context.Context, urls []string, limit int) ([]string, error) {
g, ctx := errgroup.WithContext(ctx)
g.SetLimit(limit) // Max concurrent goroutines
results := make([]string, len(urls))
var mu sync.Mutex
for i, url := range urls {
i, url := i, url
g.Go(func() error {
result, err := fetchURL(ctx, url)
if err != nil {
return err
}
mu.Lock()
results[i] = result
mu.Unlock()
return nil
})
}
if err := g.Wait(); err != nil {
return nil, err
}
return results, nil
}
```
### Pattern 6: Concurrent Map with sync.Map
```go
package main
import (
"sync"
)
// For frequent reads, infrequent writes
type Cache struct {
m sync.Map
}
func (c *Cache) Get(key string) (interface{}, bool) {
return c.m.Load(key)
}
func (c *Cache) Set(key string, value interface{}) {
c.m.Store(key, value)
}
func (c *Cache) GetOrSet(key string, value interface{}) (interface{}, bool) {
return c.m.LoadOrStore(key, value)
}
func (c *Cache) Delete(key string) {
c.m.Delete(key)
}
// For write-heavy workloads, use sharded map
type ShardedMap struct {
shards []*shard
numShards int
}
type shard struct {
sync.RWMutex
data map[string]interface{}
}
func NewShardedMap(numShards int) *ShardedMap {
m := &ShardedMap{
shards: make([]*shard, numShards),
numShards: numShards,
}
for i := range m.shards {
m.shards[i] = &shard{data: make(map[string]interface{})}
}
return m
}
func (m *ShardedMap) getShard(key string) *shard {
// Simple hash
h := 0
for _, c := range key {
h = 31*h + int(c)
}
return m.shards[h%m.numShards]
}
func (m *ShardedMap) Get(key string) (interface{}, bool) {
shard := m.getShard(key)
shard.RLock()
defer shard.RUnlock()
v, ok := shard.data[key]
return v, ok
}
func (m *ShardedMap) Set(key string, value interface{}) {
shard := m.getShard(key)
shard.Lock()
defer shard.Unlock()
shard.data[key] = value
}
```
### Pattern 7: Select with Timeout and Default
```go
func selectPatterns() {
ch := make(chan int)
// Timeout pattern
select {
case v := <-ch:
fmt.Println("Received:", v)
case <-time.After(time.Second):
fmt.Println("Timeout!")
}
// Non-blocking send/receive
select {
case ch <- 42:
fmt.Println("Sent")
default:
fmt.Println("Channel full, skipping")
}
// Priority select (check high priority first)
highPriority := make(chan int)
lowPriority := make(chan int)
for {
select {
case msg := <-highPriority:
fmt.Println("High priority:", msg)
default:
select {
case msg := <-highPriority:
fmt.Println("High priority:", msg)
case msg := <-lowPriority:
fmt.Println("Low priority:", msg)
}
}
}
}
```
## Race Detection
```bash
# Run tests with race detector
go test -race ./...
# Build with race detector
go build -race .
# Run with race detector
go run -race main.go
```
## Best Practices
### Do's
- **Use context** - For cancellation and deadlines
- **Close channels** - From sender side only
- **Use errgroup** - For concurrent operations with errors
- **Buffer channels** - When you know the count
- **Prefer channels** - Over mutexes when possible
### Don'ts
- **Don't leak goroutines** - Always have exit path
- **Don't close from receiver** - Causes panic
- **Don't use shared memory** - Unless necessary
- **Don't ignore context cancellation** - Check ctx.Done()
- **Don't use time.Sleep for sync** - Use proper primitives
## Resources
- [Go Concurrency Patterns](https://go.dev/blog/pipelines)
- [Effective Go - Concurrency](https://go.dev/doc/effective_go#concurrency)
- [Go by Example - Goroutines](https://gobyexample.com/goroutines)