package main

// Another option is to use the built-in synchronization features
// of goroutines and channels to achieve the same result.

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() {
	// As before we'll count how many operations we perform.
	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 then receiving
	// the result over the provided resp channel.
	for r := 0; r < 100; r++ {
		go func() {
			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)
			}
		}()
	}

	// Let the goroutines work for a second
	time.Sleep(time.Second)

	// Finally, capture and report the op counts.
	readOpsFinal := atomic.LoadUint64(&readOps)
	fmt.Println("readOps:", readOpsFinal)
	writeOpsFinal := atomic.LoadUint64(&writeOps)
	fmt.Println("writeOps:", writeOpsFinal)
}