Skip to content

Stream.aggregateWithin / groupedWithin grows the fiber continuation chain on every schedule tick while idle #6826

Description

@ibarakaiev

What version of Effect is running?

4.0.0-beta.101 (code unchanged in 4.0.0-beta.102)

What steps can reproduce the bug?

aggregateWithin's schedule loop re-enters itself through nested flatMap when the sink has received no input:

const stepToBuffer = Effect.suspend(function loop() {
  return step(lastOutput).pipe(
    Effect.flatMap(() => !sinkHasInput ? loop() : Queue.offer(buffer, scheduleStep)),
    Effect.flatMap(() => Effect.never),
    Pull.catchDone(() => Cause.done())
  )
})

Because the recursion happens inside the first flatMap, every iteration pushes the remaining two continuations (flatMap(() => Effect.never) and catchDone) onto the fiber's continuation chain and they never pop — they only unwind when input finally arrives and the window's raceFirst settles. A stream that receives no input therefore grows its fiber stack on every schedule tick, forever. The leak is proportional to idleness, not load: a telemetry batcher on a quiet source (Stream.fromQueue(q).pipe(Stream.groupedWithin(5000, "1 second"), …)) leaks continuously while doing nothing.

Repro (run with node --expose-gc; grows ~100 KB/s at this schedule rate, flat after the fix below):

import { Effect, Stream, Duration, Schedule } from "effect"

const program = Effect.gen(function* () {
  yield* Effect.forkDetach(
    Stream.never.pipe(
      Stream.groupedWithin(5000, Duration.millis(10)),
      Stream.runDrain
    )
  )
  yield* Effect.repeat(Effect.sync(() => {
    ;(globalThis as any).gc?.()
    console.log(`heap=${(process.memoryUsage().heapUsed / 1048576).toFixed(2)}MB`)
  }), Schedule.spaced(Duration.seconds(5)))
})

Effect.runPromise(program)

We found this after fixing #6804: an idle 1 Hz groupedWithin batch consumer retained ~3–4 MB/hour per idle stream. A 60-minute sampling heap profile attributed 55% of retained bytes to the loop body in Stream.js (aggregateWithin), with no application frames on the stack.

What is the expected behavior?

An idle aggregateWithin/groupedWithin stream runs in constant memory.

Suggested fix

Recurse from the innermost continuation only, so stack depth stays constant; wrap Effect.never and catchDone around the loop once:

const stepLoop = Effect.suspend(function loop(): Pull.Pull<void, E3, void, R3> {
  return Effect.flatMap(step(lastOutput), () => !sinkHasInput ? loop() : Queue.offer(buffer, scheduleStep))
})
const stepToBuffer: Pull.Pull<never, E3, void, R3> = stepLoop.pipe(
  Effect.flatMap(() => Effect.never),
  Pull.catchDone(() => Cause.done())
)

Semantics are unchanged (Cause.done from the schedule still reaches the single catchDone; size- and time-triggered flushes behave identically in our tests). We're running this as a pnpm patch: the idle repro goes flat and batching behavior is unchanged.

Platform

Node v20 / v22, macOS + Linux

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions