// Copyright 2020 Kentaro Hibino. All rights reserved. // Use of this source code is governed by a MIT license // that can be found in the LICENSE file. package asynq import ( "context" "fmt" "math/rand" "sort" "sync" "time" "github.com/hibiken/asynq/internal/base" "github.com/hibiken/asynq/internal/log" "github.com/hibiken/asynq/internal/rdb" "golang.org/x/time/rate" ) type processor struct { logger *log.Logger broker base.Broker handler Handler queueConfig map[string]int // orderedQueues is set only in strict-priority mode. orderedQueues []string retryDelayFunc retryDelayFunc errHandler ErrorHandler shutdownTimeout time.Duration // channel via which to send sync requests to syncer. syncRequestCh chan<- *syncRequest // rate limiter to prevent spamming logs with a bunch of errors. errLogLimiter *rate.Limiter // sema is a counting semaphore to ensure the number of active workers // does not exceed the limit. sema chan struct{} // channel to communicate back to the long running "processor" goroutine. // once is used to send value to the channel only once. done chan struct{} once sync.Once // quit channel is closed when the shutdown of the "processor" goroutine starts. quit chan struct{} // abort channel communicates to the in-flight worker goroutines to stop. abort chan struct{} // cancelations is a set of cancel functions for all in-progress tasks. cancelations *base.Cancelations starting chan<- *base.TaskMessage finished chan<- *base.TaskMessage } type retryDelayFunc func(n int, err error, task *Task) time.Duration type processorParams struct { logger *log.Logger broker base.Broker retryDelayFunc retryDelayFunc syncCh chan<- *syncRequest cancelations *base.Cancelations concurrency int queues map[string]int strictPriority bool errHandler ErrorHandler shutdownTimeout time.Duration starting chan<- *base.TaskMessage finished chan<- *base.TaskMessage } // newProcessor constructs a new processor. func newProcessor(params processorParams) *processor { queues := normalizeQueues(params.queues) orderedQueues := []string(nil) if params.strictPriority { orderedQueues = sortByPriority(queues) } return &processor{ logger: params.logger, broker: params.broker, queueConfig: queues, orderedQueues: orderedQueues, retryDelayFunc: params.retryDelayFunc, syncRequestCh: params.syncCh, cancelations: params.cancelations, errLogLimiter: rate.NewLimiter(rate.Every(3*time.Second), 1), sema: make(chan struct{}, params.concurrency), done: make(chan struct{}), quit: make(chan struct{}), abort: make(chan struct{}), errHandler: params.errHandler, handler: HandlerFunc(func(ctx context.Context, t *Task) error { return fmt.Errorf("handler not set") }), starting: params.starting, finished: params.finished, } } // Note: stops only the "processor" goroutine, does not stop workers. // It's safe to call this method multiple times. func (p *processor) stop() { p.once.Do(func() { p.logger.Debug("Processor shutting down...") // Unblock if processor is waiting for sema token. close(p.quit) // Signal the processor goroutine to stop processing tasks // from the queue. p.done <- struct{}{} }) } // NOTE: once terminated, processor cannot be re-started. func (p *processor) terminate() { p.stop() time.AfterFunc(p.shutdownTimeout, func() { close(p.abort) }) p.logger.Info("Waiting for all workers to finish...") // block until all workers have released the token for i := 0; i < cap(p.sema); i++ { p.sema <- struct{}{} } p.logger.Info("All workers have finished") } func (p *processor) start(wg *sync.WaitGroup) { wg.Add(1) go func() { defer wg.Done() for { select { case <-p.done: p.logger.Debug("Processor done") return default: p.exec() } } }() } // exec pulls a task out of the queue and starts a worker goroutine to // process the task. func (p *processor) exec() { select { case <-p.quit: return case p.sema <- struct{}{}: // acquire token qnames := p.queues() msg, deadline, err := p.broker.Dequeue(qnames...) switch { case err == rdb.ErrNoProcessableTask: p.logger.Debug("All queues are empty") // Queues are empty, this is a normal behavior. // Sleep to avoid slamming redis and let scheduler move tasks into queues. // Note: We are not using blocking pop operation and polling queues instead. // This adds significant load to redis. time.Sleep(time.Second) <-p.sema // release token return case err != nil: if p.errLogLimiter.Allow() { p.logger.Errorf("Dequeue error: %v", err) } <-p.sema // release token return } p.starting <- msg go func() { defer func() { p.finished <- msg <-p.sema // release token }() ctx, cancel := createContext(msg, deadline) p.cancelations.Add(msg.ID.String(), cancel) defer func() { cancel() p.cancelations.Delete(msg.ID.String()) }() resCh := make(chan error, 1) task := NewTask(msg.Type, msg.Payload) go func() { resCh <- perform(ctx, task, p.handler) }() select { case <-p.abort: // time is up, push the message back to queue and quit this worker goroutine. p.logger.Warnf("Quitting worker. task id=%s", msg.ID) p.requeue(msg) return case <-ctx.Done(): p.logger.Debugf("Retrying task. task id=%s", msg.ID) // TODO: Improve this log message and above p.retryOrKill(ctx, msg, ctx.Err()) return case resErr := <-resCh: // Note: One of three things should happen. // 1) Done -> Removes the message from InProgress // 2) Retry -> Removes the message from InProgress & Adds the message to Retry // 3) Kill -> Removes the message from InProgress & Adds the message to Dead if resErr != nil { if p.errHandler != nil { p.errHandler.HandleError(ctx, task, resErr) } p.retryOrKill(ctx, msg, resErr) return } p.markAsDone(ctx, msg) } }() } } func (p *processor) requeue(msg *base.TaskMessage) { err := p.broker.Requeue(msg) if err != nil { p.logger.Errorf("Could not push task id=%s back to queue: %v", msg.ID, err) } else { p.logger.Infof("Pushed task id=%s back to queue", msg.ID) } } func (p *processor) markAsDone(ctx context.Context, msg *base.TaskMessage) { err := p.broker.Done(msg) if err != nil { errMsg := fmt.Sprintf("Could not remove task id=%s type=%q from %q err: %+v", msg.ID, msg.Type, base.InProgressQueue, err) deadline, ok := ctx.Deadline() if !ok { panic("asynq: internal error: missing deadline in context") } p.logger.Warnf("%s; Will retry syncing", errMsg) p.syncRequestCh <- &syncRequest{ fn: func() error { return p.broker.Done(msg) }, errMsg: errMsg, deadline: deadline, } } } func (p *processor) retryOrKill(ctx context.Context, msg *base.TaskMessage, err error) { if msg.Retried >= msg.Retry { p.kill(ctx, msg, err) } else { p.retry(ctx, msg, err) } } func (p *processor) retry(ctx context.Context, msg *base.TaskMessage, e error) { d := p.retryDelayFunc(msg.Retried, e, NewTask(msg.Type, msg.Payload)) retryAt := time.Now().Add(d) err := p.broker.Retry(msg, retryAt, e.Error()) if err != nil { errMsg := fmt.Sprintf("Could not move task id=%s from %q to %q", msg.ID, base.InProgressQueue, base.RetryQueue) deadline, ok := ctx.Deadline() if !ok { panic("asynq: internal error: missing deadline in context") } p.logger.Warnf("%s; Will retry syncing", errMsg) p.syncRequestCh <- &syncRequest{ fn: func() error { return p.broker.Retry(msg, retryAt, e.Error()) }, errMsg: errMsg, deadline: deadline, } } } func (p *processor) kill(ctx context.Context, msg *base.TaskMessage, e error) { p.logger.Warnf("Retry exhausted for task id=%s", msg.ID) err := p.broker.Kill(msg, e.Error()) if err != nil { errMsg := fmt.Sprintf("Could not move task id=%s from %q to %q", msg.ID, base.InProgressQueue, base.DeadQueue) deadline, ok := ctx.Deadline() if !ok { panic("asynq: internal error: missing deadline in context") } p.logger.Warnf("%s; Will retry syncing", errMsg) p.syncRequestCh <- &syncRequest{ fn: func() error { return p.broker.Kill(msg, e.Error()) }, errMsg: errMsg, deadline: deadline, } } } // queues returns a list of queues to query. // Order of the queue names is based on the priority of each queue. // Queue names is sorted by their priority level if strict-priority is true. // If strict-priority is false, then the order of queue names are roughly based on // the priority level but randomized in order to avoid starving low priority queues. func (p *processor) queues() []string { // skip the overhead of generating a list of queue names // if we are processing one queue. if len(p.queueConfig) == 1 { for qname := range p.queueConfig { return []string{qname} } } if p.orderedQueues != nil { return p.orderedQueues } var names []string for qname, priority := range p.queueConfig { for i := 0; i < priority; i++ { names = append(names, qname) } } r := rand.New(rand.NewSource(time.Now().UnixNano())) r.Shuffle(len(names), func(i, j int) { names[i], names[j] = names[j], names[i] }) return uniq(names, len(p.queueConfig)) } // perform calls the handler with the given task. // If the call returns without panic, it simply returns the value, // otherwise, it recovers from panic and returns an error. func perform(ctx context.Context, task *Task, h Handler) (err error) { defer func() { if x := recover(); x != nil { err = fmt.Errorf("panic: %v", x) } }() return h.ProcessTask(ctx, task) } // uniq dedupes elements and returns a slice of unique names of length l. // Order of the output slice is based on the input list. func uniq(names []string, l int) []string { var res []string seen := make(map[string]struct{}) for _, s := range names { if _, ok := seen[s]; !ok { seen[s] = struct{}{} res = append(res, s) } if len(res) == l { break } } return res } // sortByPriority returns a list of queue names sorted by // their priority level in descending order. func sortByPriority(qcfg map[string]int) []string { var queues []*queue for qname, n := range qcfg { queues = append(queues, &queue{qname, n}) } sort.Sort(sort.Reverse(byPriority(queues))) var res []string for _, q := range queues { res = append(res, q.name) } return res } type queue struct { name string priority int } type byPriority []*queue func (x byPriority) Len() int { return len(x) } func (x byPriority) Less(i, j int) bool { return x[i].priority < x[j].priority } func (x byPriority) Swap(i, j int) { x[i], x[j] = x[j], x[i] } // normalizeQueues divides priority numbers by their greatest common divisor. func normalizeQueues(queues map[string]int) map[string]int { var xs []int for _, x := range queues { xs = append(xs, x) } d := gcd(xs...) res := make(map[string]int) for q, x := range queues { res[q] = x / d } return res } func gcd(xs ...int) int { fn := func(x, y int) int { for y > 0 { x, y = y, x%y } return x } res := xs[0] for i := 0; i < len(xs); i++ { res = fn(xs[i], res) if res == 1 { return 1 } } return res }