Synchronized Data Access

Examples Filter
Here we use the built-in synchronization features of goroutines and channels to achieve synchronized access to shared state. This channel-based approach aligns with Go’s ideas of sharing memory by communicating and having each piece of data owned by exactly 1 goroutine.
package main

import (
    "fmt"
    "math/rand"
    "sync/atomic"
    "time"
)

// In this example our state will be owned by a single goroutine.
// This will guarantee that the data is never corrupted with concurrent access.
// In order to read or write that state, other goroutines will send messages to the owning goroutine and receive corresponding replies.
// These readOp and writeOp structs encapsulate those requests and a way for the owning goroutine to respond.
type readOp struct {
    key  int
    resp chan int
}
type writeOp struct {
    key  int
    val  int
    resp chan bool
}

func main() {

    var readOps uint64
    var writeOps uint64

    // The reads and writes channels will be used by other goroutines to issue read and write requests, respectively.
    reads := make(chan readOp)
    writes := make(chan writeOp)

    // Here is the goroutine that owns the state, which is a map as in the previous example but now private to the stateful goroutine.
    // This goroutine repeatedly selects on the reads and writes channels, responding to requests as they arrive.
    // A response is executed by first performing the requested operation and then sending a value on the response channel resp to indicate success (and the desired value in the case of reads).
    go func() {
        var state = make(map[int]int)
        for {
            select {
            case read := <-reads:
                read.resp <- state[read.key]
            case write := <-writes:
                state[write.key] = write.val
                write.resp <- true
            }
        }
    }()

    // This starts 100 goroutines to issue reads to the state-owning goroutine via the reads channel.
    // Each read requires constructing a readOp, sending it over the reads channel, and the receiving the result over the provided resp channel.
    for r := 0; r < 100; r++ {
        go func() {
            for {
                read := readOp{
                    key:  rand.Intn(5),
                    resp: make(chan int)}
                reads <- read
                <-read.resp
                atomic.AddUint64(&readOps, 1)
                time.Sleep(time.Millisecond)
            }
        }()
    }

    // We start 10 writes as well, using a similar approach.
    for w := 0; w < 10; w++ {
        go func() {
            for {
                write := writeOp{
                    key:  rand.Intn(5),
                    val:  rand.Intn(100),
                    resp: make(chan bool)}
                writes <- write
                <-write.resp
                atomic.AddUint64(&writeOps, 1)
                time.Sleep(time.Millisecond)
            }
        }()
    }

    time.Sleep(time.Second)

    readOpsFinal := atomic.LoadUint64(&readOps)
    fmt.Println("readOps:", readOpsFinal)
    writeOpsFinal := atomic.LoadUint64(&writeOps)
    fmt.Println("writeOps:", writeOpsFinal)
}