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Informational 15 Bitcoin

queue: add BackpressureQueue[T] with Random Early Drop

Public commit record

What the developer wrote

Authored by Gijs van Dam

88/100 · Strong
queue: add BackpressureQueue[T] with Random Early Drop

Add a generic BackpressureQueue that uses a DropPredicate to proactively
shed load before the queue is completely full.

Two predicate types are provided:
- DropCheckFunc: length-only drop decision (func(queueLen int) bool)
- DropPredicate[T]: item-aware drop decision

RandomEarlyDrop returns a DropCheckFunc since RED only considers queue
depth. The AsDropPredicate helper adapts it to DropPredicate[T] for use
with BackpressureQueue.

In addition to the blocking Enqueue/Dequeue methods, the queue exposes
TryEnqueue (non-blocking send with drop check), Len, ReceiveChan, and
Close. These are needed by the actor package's BackpressureMailbox which
uses BackpressureQueue as its core buffer while implementing the Mailbox
interface's select-based iteration and lifecycle methods.

Property-based tests using pgregory.net/rapid verify queue invariants
(capacity bounds, FIFO ordering, model consistency) across randomized
enqueue/dequeue sequences with RED enabled.
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context✓ Mentions testing or verification✓ Names security-relevant behavior explicitly
The short version

What changed, and why it matters

This commit adds a brand-new generic queue helper called BackpressureQueue with a Random Early Drop (RED) option. It is purely a new building block for managing overload: when a queue gets too full, some incoming items are dropped early rather than letting the queue overflow. There is no bug fix, no change to existing behavior, and no indication this is being used in production code yet. It is a defensive/infrastructure addition with no direct security relevance visible in the commit itself.

Recommended action

No security action required. Treat as a normal infrastructure/library addition. If this queue is later adopted by the actor package or other LND subsystems, review integration points for correct drop handling and DoS resilience.

Security signals we found

No strong security signals were identified.

Risk score

Why this scored 15/100

Our methodology →
Potential impact 0/30
Exploitability 0/25
Stealth signal 0/15
Affected reach 0/15
Confidence 10/10
Evidence quality 5/5
Human-validated context

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