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op-node: parallel events executor #4
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8268121
run op-node in parallel-event mode
claymega 9e7897b
delete debug log
claymega f87eca4
delete metrics
claymega dd4a918
recover executor_global_test.go
claymega 877789c
modify the variable type and function name
claymega aecb427
modify comment
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,113 @@ | ||
package event | ||
|
||
import ( | ||
"context" | ||
"slices" | ||
"sync" | ||
"sync/atomic" | ||
) | ||
|
||
type ParallelExec struct { | ||
workers []*worker | ||
mu sync.RWMutex | ||
} | ||
|
||
var _ Executor = (*ParallelExec)(nil) | ||
|
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func NewParallelExec() *ParallelExec { | ||
return &ParallelExec{} | ||
} | ||
|
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func (p *ParallelExec) Add(d Executable, opts *ExecutorOpts) (leaveExecutor func()) { | ||
p.mu.Lock() | ||
defer p.mu.Unlock() | ||
w := newWorker(p, d, opts) | ||
p.workers = append(p.workers, w) | ||
return w.leave | ||
} | ||
|
||
func (p *ParallelExec) remove(w *worker) { | ||
p.mu.Lock() | ||
defer p.mu.Unlock() | ||
// Linear search to delete is fine, | ||
// since we delete much less frequently than we process events with these. | ||
for i, v := range p.workers { | ||
if v == w { | ||
p.workers = slices.Delete(p.workers, i, i+1) | ||
return | ||
} | ||
} | ||
} | ||
|
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func (p *ParallelExec) Enqueue(ev AnnotatedEvent) error { | ||
p.mu.RLock() | ||
defer p.mu.RUnlock() | ||
for _, w := range p.workers { | ||
w.enqueue(ev) // this will block if its capacity is full, providing back-pressure to the Enqueue caller | ||
} | ||
return nil | ||
} | ||
|
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type worker struct { | ||
// ctx signals when the worker is exiting. | ||
// No additional events will be accepted after cancellation. | ||
ctx context.Context | ||
cancel context.CancelFunc | ||
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// closed as channel is closed upon exit of the run loop | ||
closed chan struct{} | ||
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// ingress is the buffered channel of events to process | ||
ingress chan AnnotatedEvent | ||
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// d is the underlying executable to process events on | ||
d Executable | ||
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// p is a reference to the ParallelExec that owns this worker. | ||
// The worker removes itself from this upon leaving. | ||
p atomic.Pointer[ParallelExec] | ||
} | ||
|
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func newWorker(p *ParallelExec, d Executable, opts *ExecutorOpts) *worker { | ||
ctx, cancel := context.WithCancel(context.Background()) | ||
w := &worker{ | ||
ctx: ctx, | ||
cancel: cancel, | ||
closed: make(chan struct{}), | ||
ingress: make(chan AnnotatedEvent, opts.Capacity), | ||
d: d, | ||
} | ||
w.p.Store(p) | ||
go w.run() | ||
return w | ||
} | ||
|
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func (w *worker) enqueue(ev AnnotatedEvent) { | ||
select { | ||
case <-w.ctx.Done(): | ||
case w.ingress <- ev: | ||
} | ||
|
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} | ||
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func (w *worker) leave() { | ||
w.cancel() | ||
if old := w.p.Swap(nil); old != nil { | ||
// remove from worker pool | ||
old.remove(w) | ||
} | ||
// wait for run loop to exit | ||
<-w.closed | ||
} | ||
|
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func (w *worker) run() { | ||
for { | ||
select { | ||
case <-w.ctx.Done(): | ||
close(w.closed) | ||
return | ||
case ev := <-w.ingress: | ||
w.d.RunEvent(ev) | ||
} | ||
} | ||
} |
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Should we add mutex for this fields as well? Will they be modified concurrently by multiple goroutines?
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These fields are internal variables and will only be modified by the
Step()
, but this function will only be called in thepipeline
goroutine and not be called by otherhandler
goroutine.There was a problem hiding this comment.
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@claymega I see
Reset()
function also modify this two variables andReset()
function may also be called by the main event loop. Can you confirm this will not cause a race?There was a problem hiding this comment.
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Right,
Reset()
also modifies these two variables, and I re-check it,Reset()
only be called in thepipeline
goroutine