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test_publish.py
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test_publish.py
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import asyncio
import pytest
from dask import delayed
from distributed import Client
from distributed.client import futures_of
from distributed.metrics import time
from distributed.utils_test import gen_cluster, inc
from distributed.utils_test import client, cluster_fixture, loop # noqa F401
from distributed.protocol import Serialized
@gen_cluster(client=False)
async def test_publish_simple(s, a, b):
c = Client(s.address, asynchronous=True)
f = Client(s.address, asynchronous=True)
await asyncio.gather(c, f)
data = await c.scatter(range(3))
await c.publish_dataset(data=data)
assert "data" in s.extensions["publish"].datasets
assert isinstance(s.extensions["publish"].datasets["data"]["data"], Serialized)
with pytest.raises(KeyError) as exc_info:
await c.publish_dataset(data=data)
assert "exists" in str(exc_info.value)
assert "data" in str(exc_info.value)
result = await c.scheduler.publish_list()
assert result == ("data",)
result = await f.scheduler.publish_list()
assert result == ("data",)
await asyncio.gather(c.close(), f.close())
@gen_cluster(client=False)
async def test_publish_non_string_key(s, a, b):
async with Client(s.address, asynchronous=True) as c:
for name in [("a", "b"), 9.0, 8]:
data = await c.scatter(range(3))
await c.publish_dataset(data, name=name)
assert name in s.extensions["publish"].datasets
assert isinstance(
s.extensions["publish"].datasets[name]["data"], Serialized
)
datasets = await c.scheduler.publish_list()
assert name in datasets
@gen_cluster(client=False)
async def test_publish_roundtrip(s, a, b):
c = await Client(s.address, asynchronous=True)
f = await Client(s.address, asynchronous=True)
data = await c.scatter([0, 1, 2])
await c.publish_dataset(data=data)
assert "published-data" in s.who_wants[data[0].key]
result = await f.get_dataset(name="data")
assert len(result) == len(data)
out = await f.gather(result)
assert out == [0, 1, 2]
with pytest.raises(KeyError) as exc_info:
await f.get_dataset(name="nonexistent")
assert "not found" in str(exc_info.value)
assert "nonexistent" in str(exc_info.value)
await c.close()
await f.close()
@gen_cluster(client=True)
async def test_unpublish(c, s, a, b):
data = await c.scatter([0, 1, 2])
await c.publish_dataset(data=data)
key = data[0].key
del data
await c.scheduler.publish_delete(name="data")
assert "data" not in s.extensions["publish"].datasets
start = time()
while key in s.who_wants:
await asyncio.sleep(0.01)
assert time() < start + 5
with pytest.raises(KeyError) as exc_info:
await c.get_dataset(name="data")
assert "not found" in str(exc_info.value)
assert "data" in str(exc_info.value)
def test_unpublish_sync(client):
data = client.scatter([0, 1, 2])
client.publish_dataset(data=data)
client.unpublish_dataset(name="data")
with pytest.raises(KeyError) as exc_info:
client.get_dataset(name="data")
assert "not found" in str(exc_info.value)
assert "data" in str(exc_info.value)
@gen_cluster(client=True)
async def test_publish_multiple_datasets(c, s, a, b):
x = delayed(inc)(1)
y = delayed(inc)(2)
await c.publish_dataset(x=x, y=y)
datasets = await c.scheduler.publish_list()
assert set(datasets) == {"x", "y"}
def test_unpublish_multiple_datasets_sync(client):
x = delayed(inc)(1)
y = delayed(inc)(2)
client.publish_dataset(x=x, y=y)
client.unpublish_dataset(name="x")
with pytest.raises(KeyError) as exc_info:
client.get_dataset(name="x")
datasets = client.list_datasets()
assert set(datasets) == {"y"}
assert "not found" in str(exc_info.value)
assert "x" in str(exc_info.value)
client.unpublish_dataset(name="y")
with pytest.raises(KeyError) as exc_info:
client.get_dataset(name="y")
assert "not found" in str(exc_info.value)
assert "y" in str(exc_info.value)
@gen_cluster(client=False)
async def test_publish_bag(s, a, b):
db = pytest.importorskip("dask.bag")
c = await Client(s.address, asynchronous=True)
f = await Client(s.address, asynchronous=True)
bag = db.from_sequence([0, 1, 2])
bagp = c.persist(bag)
assert len(futures_of(bagp)) == 3
keys = {f.key for f in futures_of(bagp)}
assert keys == set(bag.dask)
await c.publish_dataset(data=bagp)
# check that serialization didn't affect original bag's dask
assert len(futures_of(bagp)) == 3
result = await f.get_dataset("data")
assert set(result.dask.keys()) == set(bagp.dask.keys())
assert {f.key for f in result.dask.values()} == {f.key for f in bagp.dask.values()}
out = await f.compute(result)
assert out == [0, 1, 2]
await c.close()
await f.close()
def test_datasets_setitem(client):
for key in ["key", ("key", "key"), 1]:
value = "value"
client.datasets[key] = value
assert client.get_dataset(key) == value
def test_datasets_getitem(client):
for key in ["key", ("key", "key"), 1]:
value = "value"
client.publish_dataset(value, name=key)
assert client.datasets[key] == value
def test_datasets_delitem(client):
for key in ["key", ("key", "key"), 1]:
value = "value"
client.publish_dataset(value, name=key)
del client.datasets[key]
assert key not in client.list_datasets()
def test_datasets_keys(client):
client.publish_dataset(**{str(n): n for n in range(10)})
keys = list(client.datasets.keys())
assert keys == [str(n) for n in range(10)]
def test_datasets_contains(client):
key, value = "key", "value"
client.publish_dataset(key=value)
assert key in client.datasets
def test_datasets_iter(client):
keys = [n for n in range(10)]
client.publish_dataset(**{str(key): key for key in keys})
for n, key in enumerate(client.datasets):
assert key == str(n)
@gen_cluster(client=True)
async def test_pickle_safe(c, s, a, b):
async with Client(s.address, asynchronous=True, serializers=["msgpack"]) as c2:
await c2.publish_dataset(x=[1, 2, 3])
result = await c2.get_dataset("x")
assert result == [1, 2, 3]
with pytest.raises(TypeError):
await c2.publish_dataset(y=lambda x: x)
await c.publish_dataset(z=lambda x: x) # this can use pickle
with pytest.raises(TypeError):
await c2.get_dataset("z")