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feat: add adaptive polling backoff for workers
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Lines changed: 519 additions & 20 deletions

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PR_DESCRIPTION.md

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## Problem
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When workers are idle, pollers hit the database at a fixed interval (default 200ms). With many pollers this creates significant unnecessary DB load. For example, 20 pollers at 200ms = 100 queries/sec per queue, even when there are no tasks.
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In production scenarios with multiple queues and higher poller counts (e.g., 150 pollers total), this translates to ~750 queries/sec of pure overhead during idle periods.
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## Current workaround
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The only option today is to manually increase `PollingInterval` (e.g., from 200ms to 1-2s) and reduce poller count. This reduces idle load but introduces a permanent trade-off: task pickup latency is always slower, even under load when fast response matters.
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```go
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// Current: pick one fixed interval — can't optimize for both idle and busy
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WorkflowPollingInterval: 1 * time.Second, // low DB load, but 1s pickup latency even when busy
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WorkflowPollingInterval: 200 * time.Millisecond, // fast pickup, but high DB load when idle
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```
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There's no way to get fast pickup under load AND low DB pressure when idle with a fixed interval.
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## Solution
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Add optional exponential backoff on consecutive empty polls. The interval resets immediately when a task is found, ensuring fast pickup under load.
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This gives the best of both worlds:
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- Under load: pollers operate at full speed (base interval), tasks are picked up immediately
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- When idle: pollers gradually slow down, dramatically reducing database pressure
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### New options
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| Option | Default | Description |
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|--------|---------|-------------|
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| `MaxPollingInterval` | `0` (disabled) | Upper bound for backoff. 0 = no backoff (current behavior) |
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| `BackoffMultiplier` | `2.0` | Growth factor per empty poll |
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These are exposed for both workflow and activity workers:
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- `MaxWorkflowPollingInterval` / `WorkflowPollingBackoffMultiplier`
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- `MaxActivityPollingInterval` / `ActivityPollingBackoffMultiplier`
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### Usage
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```go
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worker.New(backend, &worker.Options{
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WorkflowWorkerOptions: worker.WorkflowWorkerOptions{
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WorkflowPollers: 8,
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WorkflowPollingInterval: 200 * time.Millisecond,
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MaxWorkflowPollingInterval: 2 * time.Second,
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WorkflowPollingBackoffMultiplier: 2.0,
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},
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ActivityWorkerOptions: worker.ActivityWorkerOptions{
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ActivityPollers: 8,
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ActivityPollingInterval: 200 * time.Millisecond,
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MaxActivityPollingInterval: 2 * time.Second,
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ActivityPollingBackoffMultiplier: 2.0,
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},
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})
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```
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### Behavior
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```
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Empty poll: 200ms -> 400ms -> 800ms -> 1.6s -> 2s (capped at MaxPollingInterval)
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Task found: immediately resets to 200ms (base PollingInterval)
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```
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Each poller maintains its own independent interval. No shared state, no mutex, no coordination overhead.
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## Benchmark results
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```
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goos: windows
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goarch: amd64
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cpu: Intel(R) Core(TM) Ultra 5 225U
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BenchmarkPolling_WithoutBackoff-14 1212 1000521 ns/op 732.0 polls
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BenchmarkPolling_WithBackoff-14 1196 999492 ns/op 28.00 polls
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```
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| Metric | Without backoff | With backoff | Reduction |
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|--------|----------------|--------------|-----------|
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| Polls per second (1 poller) | 732 | 28 | 96% |
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| Projected DB queries (20 pollers) | 14,640/sec | 560/sec | 96% |
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| Projected DB queries (150 pollers) | 109,800/sec | 4,200/sec | 96% |
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Task pickup latency when busy is unchanged (immediate `continue` on task found, same as before).
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## Backward-compatible
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- `MaxPollingInterval = 0` (default) preserves exact current behavior
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- No changes needed for existing users
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- No new dependencies
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- All existing tests pass without modification
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## Implementation details
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- Replaced fixed `time.Ticker` with `time.Timer` + manual `Reset()` to support variable intervals
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- `backoff()` is a simple pure function: `next = min(current * multiplier, max)`
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- Per-poller goroutine state only (no shared mutable state between pollers)
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- The `continue` fast-path on task found is preserved, no regression in throughput
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## Changes
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| File | Change |
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|------|--------|
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| `internal/worker/worker.go` | Adaptive poller loop + `backoff()` helper, new fields in `WorkerOptions` |
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| `worker/options.go` | New public options for workflow + activity workers |
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| `worker/worker.go` | Pass-through new options to internal worker |
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| `internal/worker/worker_test.go` | 6 unit tests + 2 benchmarks for adaptive polling |
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## Test coverage
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- Backoff increases interval on consecutive empty polls
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- Backoff caps at MaxPollingInterval
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- Default multiplier (2.0) when not specified
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- Custom multiplier values
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- Interval resets immediately when task is found
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- No backoff when MaxPollingInterval is 0 (backward compat)
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- Measurably fewer polls with backoff enabled
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- All existing tests pass unchanged

internal/worker/worker.go

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Original file line numberDiff line numberDiff line change
@@ -45,6 +45,17 @@ type WorkerOptions struct {
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PollingInterval time.Duration
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// MaxPollingInterval is the upper bound for adaptive polling backoff.
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// When set (> 0), the polling interval increases on consecutive empty polls
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// and resets to PollingInterval when a task is found.
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// Must be >= PollingInterval (clamped automatically if lower).
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// 0 means no backoff (fixed PollingInterval, default behavior).
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MaxPollingInterval time.Duration
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// BackoffMultiplier controls how fast the interval grows on empty polls.
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// Defaults to 2.0 if MaxPollingInterval is set.
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BackoffMultiplier float64
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Queues []workflow.Queue
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}
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options.Queues = append(options.Queues, core.QueueSystem)
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}
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// Ensure MaxPollingInterval is at least PollingInterval
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if options.MaxPollingInterval > 0 && options.MaxPollingInterval < options.PollingInterval {
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options.MaxPollingInterval = options.PollingInterval
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}
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return &Worker[Task, TaskResult]{
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tw: tw,
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options: options,
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w.pollersWg.Add(w.options.Pollers)
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for i := 0; i < w.options.Pollers; i++ {
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go w.poller(ctx)
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// Stagger pollers so they don't all hit the DB at the same instant.
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// Each poller offsets by i * (PollingInterval / Pollers).
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jitter := time.Duration(int64(i) * int64(w.options.PollingInterval) / int64(w.options.Pollers))
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go w.poller(ctx, jitter)
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}
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go w.dispatcher()
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return nil
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}
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func (w *Worker[Task, TaskResult]) poller(ctx context.Context) {
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func (w *Worker[Task, TaskResult]) poller(ctx context.Context, initialJitter time.Duration) {
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defer w.pollersWg.Done()
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var ticker *time.Ticker
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if w.options.PollingInterval > 0 {
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ticker = time.NewTicker(w.options.PollingInterval)
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defer ticker.Stop()
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// Wait initial jitter to stagger pollers evenly across the interval
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if initialJitter > 0 {
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jitterTimer := time.NewTimer(initialJitter)
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select {
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case <-jitterTimer.C:
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case <-ctx.Done():
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jitterTimer.Stop()
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return
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}
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}
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currentInterval := w.options.PollingInterval
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timer := time.NewTimer(currentInterval)
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defer timer.Stop()
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for {
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select {
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case <-ctx.Done():
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w.taskQueue.release()
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}
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}
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// Got task — reset to base interval
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currentInterval = w.options.PollingInterval
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continue // check for new tasks right away
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} else {
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// Did not use the reserved slot, release
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w.taskQueue.release()
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// Back off on empty poll if adaptive polling is enabled
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if w.options.MaxPollingInterval > 0 {
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currentInterval = w.backoff(currentInterval)
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}
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}
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// Optionally wait between unsuccessful polling attempts
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if w.options.PollingInterval > 0 {
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// Wait before next poll attempt
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if currentInterval > 0 {
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timer.Reset(currentInterval)
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select {
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case <-ticker.C:
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case <-timer.C:
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case <-ctx.Done():
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return
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}
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}
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}
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}
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func (w *Worker[Task, TaskResult]) backoff(current time.Duration) time.Duration {
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multiplier := w.options.BackoffMultiplier
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if multiplier <= 0 {
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multiplier = 2.0
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}
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next := time.Duration(float64(current) * multiplier)
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if next > w.options.MaxPollingInterval {
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next = w.options.MaxPollingInterval
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}
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return next
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}
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func (w *Worker[Task, TaskResult]) dispatcher() {
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var wg sync.WaitGroup
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