Use when Go concurrency with goroutines, channels, and sync patterns. Use when writing concurrent Go code.
Limited to specific tools
Additional assets for this skill
This skill is limited to using the following tools:
name: go-concurrency description: Use when Go concurrency with goroutines, channels, and sync patterns. Use when writing concurrent Go code. allowed-tools:
Master Go's concurrency model using goroutines, channels, and synchronization primitives for building concurrent applications.
Creating goroutines:
package main
import (
"fmt"
"time"
)
func sayHello() {
fmt.Println("Hello from goroutine")
}
func main() {
// Launch goroutine
go sayHello()
// Anonymous function goroutine
go func() {
fmt.Println("Hello from anonymous goroutine")
}()
// Give goroutines time to execute
time.Sleep(time.Second)
}
Goroutines with parameters:
func printNumber(n int) {
fmt.Println(n)
}
func main() {
for i := 0; i < 10; i++ {
go printNumber(i)
}
time.Sleep(time.Second)
}
Basic channel operations:
func main() {
// Create unbuffered channel
ch := make(chan int)
// Send in goroutine (non-blocking)
go func() {
ch <- 42
}()
// Receive (blocks until value available)
value := <-ch
fmt.Println(value) // 42
}
Buffered channels:
func main() {
// Buffered channel with capacity 2
ch := make(chan string, 2)
// Can send up to 2 values without blocking
ch <- "first"
ch <- "second"
fmt.Println(<-ch) // first
fmt.Println(<-ch) // second
}
Channel direction:
// Send-only channel
func send(ch chan<- int) {
ch <- 42
}
// Receive-only channel
func receive(ch <-chan int) int {
return <-ch
}
func main() {
ch := make(chan int)
go send(ch)
value := receive(ch)
fmt.Println(value)
}
Closing channels:
func main() {
ch := make(chan int, 3)
ch <- 1
ch <- 2
ch <- 3
close(ch) // Close channel
// Receive until channel is closed
for value := range ch {
fmt.Println(value)
}
// Check if channel is closed
value, ok := <-ch
fmt.Printf("Value: %d, Open: %v\n", value, ok) // Value: 0, Open: false
}
Multiplexing channels:
func main() {
ch1 := make(chan string)
ch2 := make(chan string)
go func() {
time.Sleep(time.Second)
ch1 <- "from ch1"
}()
go func() {
time.Sleep(2 * time.Second)
ch2 <- "from ch2"
}()
// Wait for both
for i := 0; i < 2; i++ {
select {
case msg1 := <-ch1:
fmt.Println(msg1)
case msg2 := <-ch2:
fmt.Println(msg2)
}
}
}
Select with default:
func main() {
ch := make(chan int, 1)
select {
case val := <-ch:
fmt.Println(val)
default:
fmt.Println("No value ready") // Executed
}
}
Select with timeout:
func main() {
ch := make(chan string)
go func() {
time.Sleep(2 * time.Second)
ch <- "result"
}()
select {
case msg := <-ch:
fmt.Println(msg)
case <-time.After(time.Second):
fmt.Println("Timeout") // Executed after 1 second
}
}
Implementing worker pool pattern:
func worker(id int, jobs <-chan int, results chan<- int) {
for job := range jobs {
fmt.Printf("Worker %d processing job %d\n", id, job)
time.Sleep(time.Second)
results <- job * 2
}
}
func main() {
jobs := make(chan int, 100)
results := make(chan int, 100)
// Start 3 workers
for w := 1; w <= 3; w++ {
go worker(w, jobs, results)
}
// Send 5 jobs
for j := 1; j <= 5; j++ {
jobs <- j
}
close(jobs)
// Collect results
for a := 1; a <= 5; a++ {
<-results
}
}
Waiting for goroutines to complete:
import (
"fmt"
"sync"
"time"
)
func worker(id int, wg *sync.WaitGroup) {
defer wg.Done() // Decrement counter when done
fmt.Printf("Worker %d starting\n", id)
time.Sleep(time.Second)
fmt.Printf("Worker %d done\n", id)
}
func main() {
var wg sync.WaitGroup
for i := 1; i <= 5; i++ {
wg.Add(1) // Increment counter
go worker(i, &wg)
}
wg.Wait() // Wait for all to complete
fmt.Println("All workers done")
}
Protecting shared state:
import (
"fmt"
"sync"
)
type Counter struct {
mu sync.Mutex
value int
}
func (c *Counter) Increment() {
c.mu.Lock()
c.value++
c.mu.Unlock()
}
func (c *Counter) Value() int {
c.mu.Lock()
defer c.mu.Unlock()
return c.value
}
func main() {
var wg sync.WaitGroup
counter := Counter{}
for i := 0; i < 1000; i++ {
wg.Add(1)
go func() {
defer wg.Done()
counter.Increment()
}()
}
wg.Wait()
fmt.Println(counter.Value()) // 1000
}
Read-write locks:
type Cache struct {
mu sync.RWMutex
items map[string]string
}
func (c *Cache) Get(key string) (string, bool) {
c.mu.RLock() // Read lock
defer c.mu.RUnlock()
val, ok := c.items[key]
return val, ok
}
func (c *Cache) Set(key, value string) {
c.mu.Lock() // Write lock
defer c.mu.Unlock()
c.items[key] = value
}
func main() {
cache := Cache{items: make(map[string]string)}
// Multiple readers can access simultaneously
var wg sync.WaitGroup
for i := 0; i < 10; i++ {
wg.Add(1)
go func() {
defer wg.Done()
cache.Get("key")
}()
}
wg.Wait()
}
Execute once initialization:
var (
instance *Database
once sync.Once
)
type Database struct {
conn string
}
func GetDatabase() *Database {
once.Do(func() {
fmt.Println("Initializing database")
instance = &Database{conn: "connected"}
})
return instance
}
func main() {
var wg sync.WaitGroup
for i := 0; i < 10; i++ {
wg.Add(1)
go func() {
defer wg.Done()
db := GetDatabase() // Only initializes once
fmt.Println(db.conn)
}()
}
wg.Wait()
}
Using context for cancellation:
import (
"context"
"fmt"
"time"
)
func worker(ctx context.Context, id int) {
for {
select {
case <-ctx.Done():
fmt.Printf("Worker %d cancelled\n", id)
return
default:
fmt.Printf("Worker %d working\n", id)
time.Sleep(500 * time.Millisecond)
}
}
}
func main() {
ctx, cancel := context.WithCancel(context.Background())
for i := 1; i <= 3; i++ {
go worker(ctx, i)
}
time.Sleep(2 * time.Second)
cancel() // Cancel all workers
time.Sleep(time.Second)
}
Context with timeout:
func slowOperation(ctx context.Context) error {
select {
case <-time.After(3 * time.Second):
return nil
case <-ctx.Done():
return ctx.Err()
}
}
func main() {
ctx, cancel := context.WithTimeout(
context.Background(),
2*time.Second,
)
defer cancel()
err := slowOperation(ctx)
if err != nil {
fmt.Println("Operation timed out:", err)
}
}
Context with values:
func processRequest(ctx context.Context) {
userID := ctx.Value("userID")
fmt.Println("Processing for user:", userID)
}
func main() {
ctx := context.WithValue(
context.Background(),
"userID",
"user123",
)
processRequest(ctx)
}
Using errgroup:
import (
"context"
"fmt"
"golang.org/x/sync/errgroup"
"time"
)
func fetchUser(ctx context.Context, id int) error {
time.Sleep(time.Second)
if id == 3 {
return fmt.Errorf("user %d not found", id)
}
fmt.Printf("Fetched user %d\n", id)
return nil
}
func main() {
g, ctx := errgroup.WithContext(context.Background())
userIDs := []int{1, 2, 3, 4, 5}
for _, id := range userIDs {
id := id // Capture loop variable
g.Go(func() error {
return fetchUser(ctx, id)
})
}
// Wait for all goroutines
if err := g.Wait(); err != nil {
fmt.Println("Error:", err)
}
}
Distributing work and collecting results:
func generator(nums ...int) <-chan int {
out := make(chan int)
go func() {
for _, n := range nums {
out <- n
}
close(out)
}()
return out
}
func square(in <-chan int) <-chan int {
out := make(chan int)
go func() {
for n := range in {
out <- n * n
}
close(out)
}()
return out
}
func merge(cs ...<-chan int) <-chan int {
out := make(chan int)
var wg sync.WaitGroup
wg.Add(len(cs))
for _, c := range cs {
go func(ch <-chan int) {
defer wg.Done()
for n := range ch {
out <- n
}
}(c)
}
go func() {
wg.Wait()
close(out)
}()
return out
}
func main() {
in := generator(1, 2, 3, 4, 5)
// Fan out
c1 := square(in)
c2 := square(in)
// Fan in
for n := range merge(c1, c2) {
fmt.Println(n)
}
}
Use go-concurrency when you need to: