dragonfly/tools/replay/main.go
2024-04-10 16:58:51 +03:00

162 lines
3.7 KiB
Go

package main
import (
"context"
"flag"
"fmt"
"math"
"os"
"sync"
"sync/atomic"
"time"
"github.com/pterm/pterm"
"github.com/redis/go-redis/v9"
)
var fHost = flag.String("host", "127.0.0.1:6379", "Redis host")
var fClientBuffer = flag.Int("buffer", 100, "How many records to buffer per client")
type RecordHeader struct {
Client uint32
Time uint64
HasMore uint32
}
type Record struct {
RecordHeader
values []interface{} // instead of []string to unwrap into variadic
}
// Determine earliest time
func DetermineBaseTime(files []string) time.Time {
var minTime uint64 = math.MaxUint64
for _, file := range files {
parseRecords(file, func(r Record) bool {
if r.Time < minTime {
minTime = r.Time
}
return false
})
}
return time.Unix(0, int64(minTime))
}
// Handles a single connection/client
type ClientWorker struct {
redis *redis.Client
incoming chan Record
}
// Handles a single file and distributes messages to clients
type FileWorker struct {
clientGroup sync.WaitGroup
timeOffset time.Duration
// stats for output, updated by clients, read by rendering goroutine
processed uint64
delayed uint64
parsed uint64
clients uint64
}
func (c ClientWorker) Run(worker *FileWorker) {
for msg := range c.incoming {
lag := time.Until(worker.HappensAt(time.Unix(0, int64(msg.Time))))
if lag < 0 {
atomic.AddUint64(&worker.delayed, 1)
}
time.Sleep(lag)
c.redis.Do(context.Background(), msg.values...).Result()
atomic.AddUint64(&worker.processed, 1)
}
worker.clientGroup.Done()
}
func NewClient(w *FileWorker) *ClientWorker {
client := &ClientWorker{
redis: redis.NewClient(&redis.Options{Addr: *fHost, PoolSize: 1, DisableIndentity: true}),
incoming: make(chan Record, *fClientBuffer),
}
atomic.AddUint64(&w.clients, 1)
w.clientGroup.Add(1)
go client.Run(w)
return client
}
func (w *FileWorker) Run(file string, wg *sync.WaitGroup) {
clients := make(map[uint32]*ClientWorker, 0)
parseRecords(file, func(r Record) bool {
client, ok := clients[r.Client]
if !ok {
client = NewClient(w)
clients[r.Client] = client
}
atomic.AddUint64(&w.parsed, 1)
client.incoming <- r
return true
})
for _, client := range clients {
close(client.incoming)
}
w.clientGroup.Wait()
wg.Done()
}
func (w *FileWorker) HappensAt(recordTime time.Time) time.Time {
return recordTime.Add(w.timeOffset)
}
func RenderTable(area *pterm.AreaPrinter, files []string, workers []FileWorker) {
tableData := pterm.TableData{{"file", "parsed", "processed", "delayed", "clients"}}
for i := range workers {
tableData = append(tableData, []string{
files[i],
fmt.Sprint(atomic.LoadUint64(&workers[i].parsed)),
fmt.Sprint(atomic.LoadUint64(&workers[i].processed)),
fmt.Sprint(atomic.LoadUint64(&workers[i].delayed)),
fmt.Sprint(atomic.LoadUint64(&workers[i].clients)),
})
}
content, _ := pterm.DefaultTable.WithHasHeader().WithBoxed().WithData(tableData).Srender()
area.Update(content)
}
func main() {
flag.Parse()
files := os.Args[1:]
timeOffset := time.Now().Add(500 * time.Millisecond).Sub(DetermineBaseTime(files))
fmt.Println("Offset -> ", timeOffset)
// Start a worker for every file. They take care of spawning client workers.
var wg sync.WaitGroup
workers := make([]FileWorker, len(files))
for i := range workers {
workers[i] = FileWorker{timeOffset: timeOffset}
wg.Add(1)
go workers[i].Run(files[i], &wg)
}
wgDone := make(chan bool)
go func() {
wg.Wait()
wgDone <- true
}()
// Render table while running
area, _ := pterm.DefaultArea.WithCenter().Start()
for running := true; running; {
select {
case <-wgDone:
running = false
case <-time.After(100 * time.Millisecond):
RenderTable(area, files, workers)
}
}
RenderTable(area, files, workers) // to show last stats
}