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[DNM] Queue by default #7191

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10 changes: 5 additions & 5 deletions .github/workflows/tests.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,7 @@ jobs:
matrix:
os: [ubuntu-latest, windows-latest, macos-latest]
python-version: ["3.8", "3.9", "3.10"]
queuing: [no_queue]
queuing: [queue]
# Cherry-pick test modules to split the overall runtime roughly in half
partition: [ci1, not ci1]
exclude:
Expand All @@ -33,11 +33,11 @@ jobs:
include:
- os: ubuntu-latest
python-version: 3.9
queuing: queue
queuing: no_queue
partition: "ci1"
- os: ubuntu-latest
python-version: 3.9
queuing: queue
queuing: no_queue
partition: "not ci1"

# Uncomment to stress-test the test suite for random failures.
Expand Down Expand Up @@ -144,8 +144,8 @@ jobs:

- name: Set up dask env for job queuing
shell: bash -l {0}
if: ${{ matrix.queuing == 'queue' }}
run: echo "DASK_DISTRIBUTED__SCHEDULER__WORKER_SATURATION=1.0" >> $GITHUB_ENV
if: ${{ matrix.queuing == 'no_queue' }}
run: echo "DASK_DISTRIBUTED__SCHEDULER__WORKER_SATURATION=inf" >> $GITHUB_ENV

- name: Print host info
shell: bash -l {0}
Expand Down
4 changes: 2 additions & 2 deletions distributed/distributed.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ distributed:
events-log-length: 100000
work-stealing: True # workers should steal tasks from each other
work-stealing-interval: 100ms # Callback time for work stealing
worker-saturation: .inf # Send this fraction of nthreads root tasks to workers
worker-saturation: 1.1 # Send this fraction of nthreads root tasks to workers
worker-ttl: "5 minutes" # like '60s'. Time to live for workers. They must heartbeat faster than this
pickle: True # Is the scheduler allowed to deserialize arbitrary bytestrings
preload: [] # Run custom modules with Scheduler
Expand Down Expand Up @@ -152,7 +152,7 @@ distributed:
# Fractions of worker process memory at which we take action to avoid memory
# blowup. Set any of the values to False to turn off the behavior entirely.
# All fractions are relative to each worker's memory_limit.
transfer: 0.10 # fractional size of incoming data transfers where we start
transfer: 0.10 # fractional size of incoming data transfers where we start
# throttling incoming data transfers
target: 0.60 # fraction of managed memory where we start spilling to disk
spill: 0.70 # fraction of process memory where we start spilling to disk
Expand Down
9 changes: 8 additions & 1 deletion distributed/tests/test_scheduler.py
Original file line number Diff line number Diff line change
Expand Up @@ -913,8 +913,11 @@ def f(x, y=2):
assert set(d) == {"function", "args"}


@pytest.mark.parametrize("worker_saturation", [1.0, float("inf")])
@gen_cluster()
async def test_ready_remove_worker(s, a, b):
async def test_ready_remove_worker(s, a, b, worker_saturation):
s.WORKER_SATURATION = worker_saturation

s.update_graph(
tasks={"x-%d" % i: dumps_task((inc, i)) for i in range(20)},
keys=["x-%d" % i for i in range(20)],
Expand Down Expand Up @@ -2849,6 +2852,10 @@ async def test_get_worker_monitor_info(s, a, b):
assert res[w.address]["last_time"] is not None


@pytest.mark.skipif(
math.isfinite(dask.config.get("distributed.scheduler.worker-saturation")),
reason="Round-robin not enabled with queuing; see https://github.com/dask/distributed/issues/7197",
)
@gen_cluster(client=True)
async def test_quiet_cluster_round_robin(c, s, a, b):
await c.submit(inc, 1)
Expand Down