from __future__ import print_function, division, absolute_import from operator import add from collections import deque from concurrent.futures import CancelledError import gc import itertools import logging import os import pickle import random import sys import threading from threading import Semaphore from time import sleep import traceback import warnings import weakref import zipfile import pytest from toolz import (identity, isdistinct, concat, pluck, valmap, partial, first, merge) from tornado import gen from tornado.ioloop import IOLoop import dask from dask import delayed from dask.optimization import SubgraphCallable import dask.bag as db from distributed import (Worker, Nanny, fire_and_forget, LocalCluster, get_client, secede, get_worker, Executor, profile, TimeoutError) from distributed.comm import CommClosedError from distributed.client import (Client, Future, wait, as_completed, tokenize, _get_global_client, default_client, futures_of, temp_default_client) from distributed.compatibility import PY3, Iterator from distributed.metrics import time from distributed.scheduler import Scheduler, KilledWorker from distributed.sizeof import sizeof from distributed.utils import (ignoring, mp_context, sync, tmp_text, tokey, tmpfile) from distributed.utils_test import (cluster, slow, slowinc, slowadd, slowdec, randominc, inc, dec, div, throws, geninc, asyncinc, gen_cluster, gen_test, double, popen, captured_logger, varying, map_varying, wait_for, async_wait_for, pristine_loop) from distributed.utils_test import (client as c, client_secondary as c2,# noqa F401 cluster_fixture, loop, loop_in_thread,# noqa F401 nodebug, s, a, b) # noqa F401 @gen_cluster(client=True, timeout=None) def test_submit(c, s, a, b): x = c.submit(inc, 10) assert not x.done() assert isinstance(x, Future) assert x.client is c result = yield x assert result == 11 assert x.done() y = c.submit(inc, 20) z = c.submit(add, x, y) result = yield z assert result == 11 + 21 s.validate_state() @gen_cluster(client=True) def test_map(c, s, a, b): L1 = c.map(inc, range(5)) assert len(L1) == 5 assert isdistinct(x.key for x in L1) assert all(isinstance(x, Future) for x in L1) result = yield L1[0] assert result == inc(0) assert len(s.tasks) == 5 L2 = c.map(inc, L1) result = yield L2[1] assert result == inc(inc(1)) assert len(s.tasks) == 10 # assert L1[0].key in s.tasks[L2[0].key] total = c.submit(sum, L2) result = yield total assert result == sum(map(inc, map(inc, range(5)))) L3 = c.map(add, L1, L2) result = yield L3[1] assert result == inc(1) + inc(inc(1)) L4 = c.map(add, range(3), range(4)) results = yield c.gather(L4) if sys.version_info[0] >= 3: assert results == list(map(add, range(3), range(4))) def f(x, y=10): return x + y L5 = c.map(f, range(5), y=5) results = yield c.gather(L5) assert results == list(range(5, 10)) y = c.submit(f, 10) L6 = c.map(f, range(5), y=y) results = yield c.gather(L6) assert results == list(range(20, 25)) s.validate_state() @gen_cluster(client=True) def test_map_empty(c, s, a, b): L1 = c.map(inc, [], pure=False) assert len(L1) == 0 results = yield c.gather(L1) assert results == [] @gen_cluster(client=True) def test_map_keynames(c, s, a, b): futures = c.map(inc, range(4), key='INC') assert all(f.key.startswith('INC') for f in futures) assert isdistinct(f.key for f in futures) futures2 = c.map(inc, [5, 6, 7, 8], key='INC') assert [f.key for f in futures] != [f.key for f in futures2] keys = ['inc-1', 'inc-2', 'inc-3', 'inc-4'] futures = c.map(inc, range(4), key=keys) assert [f.key for f in futures] == keys @gen_cluster(client=True) def test_map_retries(c, s, a, b): args = [[ZeroDivisionError("one"), 2, 3], [4, 5, 6], [ZeroDivisionError("seven"), ZeroDivisionError("eight"), 9]] x, y, z = c.map(*map_varying(args), retries=2) assert (yield x) == 2 assert (yield y) == 4 assert (yield z) == 9 x, y, z = c.map(*map_varying(args), retries=1, pure=False) assert (yield x) == 2 assert (yield y) == 4 with pytest.raises(ZeroDivisionError) as exc_info: yield z exc_info.match("eight") x, y, z = c.map(*map_varying(args), retries=0, pure=False) with pytest.raises(ZeroDivisionError) as exc_info: yield x exc_info.match("one") assert (yield y) == 4 with pytest.raises(ZeroDivisionError) as exc_info: yield z exc_info.match("seven") @gen_cluster(client=True) def test_compute_retries(c, s, a, b): args = [ZeroDivisionError("one"), ZeroDivisionError("two"), 3] # Sanity check for varying() use x = c.compute(delayed(varying(args))()) with pytest.raises(ZeroDivisionError) as exc_info: yield x exc_info.match("one") # Same retries for all x = c.compute(delayed(varying(args))(), retries=1) with pytest.raises(ZeroDivisionError) as exc_info: yield x exc_info.match("two") x = c.compute(delayed(varying(args))(), retries=2) assert (yield x) == 3 args.append(4) x = c.compute(delayed(varying(args))(), retries=2) assert (yield x) == 3 # Per-future retries xargs = [ZeroDivisionError("one"), ZeroDivisionError("two"), 30, 40] yargs = [ZeroDivisionError("five"), ZeroDivisionError("six"), 70] zargs = [80, 90, 100] x, y = [delayed(varying(args))() for args in (xargs, yargs)] x, y = c.compute([x, y], retries={x: 2}) gc.collect() assert (yield x) == 30 with pytest.raises(ZeroDivisionError) as exc_info: yield y exc_info.match("five") x, y, z = [delayed(varying(args))() for args in (xargs, yargs, zargs)] x, y, z = c.compute([x, y, z], retries={(y, z): 2}) with pytest.raises(ZeroDivisionError) as exc_info: yield x exc_info.match("one") assert (yield y) == 70 assert (yield z) == 80 def test_retries_get(c): args = [ZeroDivisionError("one"), ZeroDivisionError("two"), 3] x = delayed(varying(args))() assert x.compute(retries=5) == 3 args = [ZeroDivisionError("one"), ZeroDivisionError("two"), 3] x = delayed(varying(args))() with pytest.raises(ZeroDivisionError): x.compute() @gen_cluster(client=True) def test_compute_persisted_retries(c, s, a, b): args = [ZeroDivisionError("one"), ZeroDivisionError("two"), 3] # Sanity check x = c.persist(delayed(varying(args))()) fut = c.compute(x) with pytest.raises(ZeroDivisionError) as exc_info: yield fut exc_info.match("one") x = c.persist(delayed(varying(args))()) fut = c.compute(x, retries=1) with pytest.raises(ZeroDivisionError) as exc_info: yield fut exc_info.match("two") x = c.persist(delayed(varying(args))()) fut = c.compute(x, retries=2) assert (yield fut) == 3 args.append(4) x = c.persist(delayed(varying(args))()) fut = c.compute(x, retries=3) assert (yield fut) == 3 @gen_cluster(client=True) def test_persist_retries(c, s, a, b): # Same retries for all args = [ZeroDivisionError("one"), ZeroDivisionError("two"), 3] x = c.persist(delayed(varying(args))(), retries=1) x = c.compute(x) with pytest.raises(ZeroDivisionError) as exc_info: yield x exc_info.match("two") x = c.persist(delayed(varying(args))(), retries=2) x = c.compute(x) assert (yield x) == 3 # Per-key retries xargs = [ZeroDivisionError("one"), ZeroDivisionError("two"), 30, 40] yargs = [ZeroDivisionError("five"), ZeroDivisionError("six"), 70] zargs = [80, 90, 100] x, y, z = [delayed(varying(args))() for args in (xargs, yargs, zargs)] x, y, z = c.persist([x, y, z], retries={(y, z): 2}) x, y, z = c.compute([x, y, z]) with pytest.raises(ZeroDivisionError) as exc_info: yield x exc_info.match("one") assert (yield y) == 70 assert (yield z) == 80 @gen_cluster(client=True) def test_retries_dask_array(c, s, a, b): da = pytest.importorskip('dask.array') x = da.ones((10, 10), chunks=(3, 3)) future = c.compute(x.sum(), retries=2) y = yield future assert y == 100 @gen_cluster(client=True) def test_future_repr(c, s, a, b): x = c.submit(inc, 10) for func in [repr, lambda x: x._repr_html_()]: assert str(x.key) in func(x) assert str(x.status) in func(x) assert str(x.status) in repr(c.futures[x.key]) @gen_cluster(client=True) def test_future_tuple_repr(c, s, a, b): da = pytest.importorskip('dask.array') y = da.arange(10, chunks=(5,)).persist() f = futures_of(y)[0] for func in [repr, lambda x: x._repr_html_()]: for k in f.key: assert str(k) in func(f) @gen_cluster(client=True) def test_Future_exception(c, s, a, b): x = c.submit(div, 1, 0) result = yield x.exception() assert isinstance(result, ZeroDivisionError) x = c.submit(div, 1, 1) result = yield x.exception() assert result is None def test_Future_exception_sync(c): x = c.submit(div, 1, 0) assert isinstance(x.exception(), ZeroDivisionError) x = c.submit(div, 1, 1) assert x.exception() is None @gen_cluster(client=True) def test_Future_release(c, s, a, b): # Released Futures should be removed timely from the Client x = c.submit(div, 1, 1) yield x x.release() yield gen.moment assert not c.futures x = c.submit(slowinc, 1, delay=0.5) x.release() yield gen.moment assert not c.futures x = c.submit(div, 1, 0) yield x.exception() x.release() yield gen.moment assert not c.futures def test_Future_release_sync(c): # Released Futures should be removed timely from the Client x = c.submit(div, 1, 1) x.result() x.release() wait_for(lambda: not c.futures, timeout=0.3) x = c.submit(slowinc, 1, delay=0.8) x.release() wait_for(lambda: not c.futures, timeout=0.3) x = c.submit(div, 1, 0) x.exception() x.release() wait_for(lambda: not c.futures, timeout=0.3) def test_short_tracebacks(loop, c): tblib = pytest.importorskip('tblib') future = c.submit(div, 1, 0) try: future.result() except Exception: _, _, tb = sys.exc_info() tb = tblib.Traceback(tb).to_dict() n = 0 while tb is not None: n += 1 tb = tb['tb_next'] assert n < 5 @gen_cluster(client=True) def test_map_naming(c, s, a, b): L1 = c.map(inc, range(5)) L2 = c.map(inc, range(5)) assert [x.key for x in L1] == [x.key for x in L2] L3 = c.map(inc, [1, 1, 1, 1]) assert len({x._state for x in L3}) == 1 L4 = c.map(inc, [1, 1, 1, 1], pure=False) assert len({x._state for x in L4}) == 4 @gen_cluster(client=True) def test_submit_naming(c, s, a, b): a = c.submit(inc, 1) b = c.submit(inc, 1) assert a._state is b._state c = c.submit(inc, 1, pure=False) assert c.key != a.key @gen_cluster(client=True) def test_exceptions(c, s, a, b): x = c.submit(div, 1, 2) result = yield x assert result == 1 / 2 x = c.submit(div, 1, 0) with pytest.raises(ZeroDivisionError): result = yield x x = c.submit(div, 10, 2) # continues to operate result = yield x assert result == 10 / 2 @gen_cluster() def test_gc(s, a, b): c = yield Client((s.ip, s.port), asynchronous=True) x = c.submit(inc, 10) yield x assert s.tasks[x.key].who_has x.__del__() yield async_wait_for(lambda: x.key not in s.tasks or not s.tasks[x.key].who_has, timeout=0.3) yield c.close() def test_thread(c): x = c.submit(inc, 1) assert x.result() == 2 x = c.submit(slowinc, 1, delay=0.3) with pytest.raises(gen.TimeoutError): x.result(timeout=0.01) assert x.result() == 2 def test_sync_exceptions(c): x = c.submit(div, 10, 2) assert x.result() == 5 y = c.submit(div, 10, 0) try: y.result() assert False except ZeroDivisionError: pass z = c.submit(div, 10, 5) assert z.result() == 2 @gen_cluster(client=True) def test_gather(c, s, a, b): x = c.submit(inc, 10) y = c.submit(inc, x) result = yield c.gather(x) assert result == 11 result = yield c.gather([x]) assert result == [11] result = yield c.gather({'x': x, 'y': [y]}) assert result == {'x': 11, 'y': [12]} @gen_cluster(client=True) def test_gather_lost(c, s, a, b): [x] = yield c.scatter([1], workers=a.address) y = c.submit(inc, 1, workers=b.address) yield a._close() with pytest.raises(Exception): res = yield c.gather([x, y]) def test_gather_sync(c): x = c.submit(inc, 1) assert c.gather(x) == 2 y = c.submit(div, 1, 0) with pytest.raises(ZeroDivisionError): c.gather([x, y]) [xx] = c.gather([x, y], errors='skip') assert xx == 2 @gen_cluster(client=True) def test_gather_strict(c, s, a, b): x = c.submit(div, 2, 1) y = c.submit(div, 1, 0) with pytest.raises(ZeroDivisionError): yield c.gather([x, y]) [xx] = yield c.gather([x, y], errors='skip') assert xx == 2 @gen_cluster(client=True, ncores=[('127.0.0.1', 1)]) def test_gather_skip(c, s, a): x = c.submit(div, 1, 0, priority=10) y = c.submit(slowinc, 1, delay=0.5) with captured_logger(logging.getLogger('distributed.scheduler')) as sched: with captured_logger(logging.getLogger('distributed.client')) as client: L = yield c.gather([x, y], errors='skip') assert L == [2] assert not client.getvalue() assert not sched.getvalue() @gen_cluster(client=True) def test_limit_concurrent_gathering(c, s, a, b): futures = c.map(inc, range(100)) results = yield futures assert len(a.outgoing_transfer_log) + len(b.outgoing_transfer_log) < 100 @gen_cluster(client=True, timeout=None) def test_get(c, s, a, b): future = c.get({'x': (inc, 1)}, 'x', sync=False) assert isinstance(future, Future) result = yield future assert result == 2 futures = c.get({'x': (inc, 1)}, ['x'], sync=False) assert isinstance(futures[0], Future) result = yield futures assert result == [2] result = yield c.get({}, [], sync=False) assert result == [] result = yield c.get({('x', 1): (inc, 1), ('x', 2): (inc, ('x', 1))}, ('x', 2), sync=False) assert result == 3 def test_get_sync(c): assert c.get({'x': (inc, 1)}, 'x') == 2 def test_no_future_references(c): from weakref import WeakSet ws = WeakSet() futures = c.map(inc, range(10)) ws.update(futures) del futures import gc gc.collect() start = time() while list(ws): sleep(0.01) assert time() < start + 2 def test_get_sync_optimize_graph_passes_through(c): bag = db.range(10, npartitions=3).map(inc) dask.compute(bag.sum(), optimize_graph=False) @gen_cluster(client=True) def test_gather_errors(c, s, a, b): def f(a, b): raise TypeError def g(a, b): raise AttributeError future_f = c.submit(f, 1, 2) future_g = c.submit(g, 1, 2) with pytest.raises(TypeError): yield c.gather(future_f) with pytest.raises(AttributeError): yield c.gather(future_g) yield a._close() @gen_cluster(client=True) def test_wait(c, s, a, b): x = c.submit(inc, 1) y = c.submit(inc, 1) z = c.submit(inc, 2) done, not_done = yield wait([x, y, z]) assert done == {x, y, z} assert not_done == set() assert x.status == y.status == 'finished' @gen_cluster(client=True, timeout=2) def test_wait_timeout(c, s, a, b): future = c.submit(sleep, 0.3) with pytest.raises(gen.TimeoutError): yield wait(future, timeout=0.01) def test_wait_sync(c): x = c.submit(inc, 1) y = c.submit(inc, 2) done, not_done = wait([x, y]) assert done == {x, y} assert not_done == set() assert x.status == y.status == 'finished' future = c.submit(sleep, 0.3) with pytest.raises(gen.TimeoutError): wait(future, timeout=0.01) def test_wait_informative_error_for_timeouts(c): x = c.submit(inc, 1) y = c.submit(inc, 2) try: wait(x, y) except Exception as e: assert "timeout" in str(e) assert "list" in str(e) @gen_cluster(client=True) def test_garbage_collection(c, s, a, b): x = c.submit(inc, 1) y = c.submit(inc, 1) assert c.refcount[x.key] == 2 x.__del__() yield gen.moment assert c.refcount[x.key] == 1 z = c.submit(inc, y) y.__del__() yield gen.moment result = yield z assert result == 3 ykey = y.key y.__del__() yield gen.moment assert ykey not in c.futures @gen_cluster(client=True) def test_garbage_collection_with_scatter(c, s, a, b): [future] = yield c.scatter([1]) assert future.key in c.futures assert future.status == 'finished' assert s.who_wants[future.key] == {c.id} key = future.key assert c.refcount[key] == 1 future.__del__() yield gen.moment assert c.refcount[key] == 0 start = time() while True: if key not in s.tasks or not s.tasks[key].who_has: break else: assert time() < start + 3 yield gen.sleep(0.1) @gen_cluster(timeout=1000, client=True) def test_recompute_released_key(c, s, a, b): x = c.submit(inc, 100) result1 = yield x xkey = x.key del x import gc gc.collect() yield gen.moment assert c.refcount[xkey] == 0 # 1 second batching needs a second action to trigger while xkey in s.tasks and s.tasks[xkey].who_has or xkey in a.data or xkey in b.data: yield gen.sleep(0.1) x = c.submit(inc, 100) assert x.key in c.futures result2 = yield x assert result1 == result2 @slow @gen_cluster(client=True) def test_long_tasks_dont_trigger_timeout(c, s, a, b): from time import sleep x = c.submit(sleep, 3) yield x @pytest.mark.skip @gen_cluster(client=True) def test_missing_data_heals(c, s, a, b): a.validate = False b.validate = False x = c.submit(inc, 1) y = c.submit(inc, x) z = c.submit(inc, y) yield wait([x, y, z]) # Secretly delete y's key if y.key in a.data: del a.data[y.key] a.release_key(y.key) if y.key in b.data: del b.data[y.key] b.release_key(y.key) yield gen.moment w = c.submit(add, y, z) result = yield w assert result == 3 + 4 @pytest.mark.skip @gen_cluster(client=True) def test_gather_robust_to_missing_data(c, s, a, b): a.validate = False b.validate = False x, y, z = c.map(inc, range(3)) yield wait([x, y, z]) # everything computed for f in [x, y]: for w in [a, b]: if f.key in w.data: del w.data[f.key] yield gen.moment w.release_key(f.key) xx, yy, zz = yield c.gather([x, y, z]) assert (xx, yy, zz) == (1, 2, 3) @pytest.mark.skip @gen_cluster(client=True) def test_gather_robust_to_nested_missing_data(c, s, a, b): a.validate = False b.validate = False w = c.submit(inc, 1) x = c.submit(inc, w) y = c.submit(inc, x) z = c.submit(inc, y) yield wait([z]) for worker in [a, b]: for datum in [y, z]: if datum.key in worker.data: del worker.data[datum.key] yield gen.moment worker.release_key(datum.key) result = yield c.gather([z]) assert result == [inc(inc(inc(inc(1))))] @gen_cluster(client=True) def test_tokenize_on_futures(c, s, a, b): x = c.submit(inc, 1) y = c.submit(inc, 1) tok = tokenize(x) assert tokenize(x) == tokenize(x) assert tokenize(x) == tokenize(y) c.futures[x.key].finish() assert tok == tokenize(y) @pytest.mark.skipif(not sys.platform.startswith('linux'), reason="Need 127.0.0.2 to mean localhost") @gen_cluster([('127.0.0.1', 1), ('127.0.0.2', 2)], client=True) def test_restrictions_submit(c, s, a, b): x = c.submit(inc, 1, workers={a.ip}) y = c.submit(inc, x, workers={b.ip}) yield wait([x, y]) assert s.host_restrictions[x.key] == {a.ip} assert x.key in a.data assert s.host_restrictions[y.key] == {b.ip} assert y.key in b.data @gen_cluster(client=True) def test_restrictions_ip_port(c, s, a, b): x = c.submit(inc, 1, workers={a.address}) y = c.submit(inc, x, workers={b.address}) yield wait([x, y]) assert s.worker_restrictions[x.key] == {a.address} assert x.key in a.data assert s.worker_restrictions[y.key] == {b.address} assert y.key in b.data @pytest.mark.skipif(not sys.platform.startswith('linux'), reason="Need 127.0.0.2 to mean localhost") @gen_cluster([('127.0.0.1', 1), ('127.0.0.2', 2)], client=True) def test_restrictions_map(c, s, a, b): L = c.map(inc, range(5), workers={a.ip}) yield wait(L) assert set(a.data) == {x.key for x in L} assert not b.data for x in L: assert s.host_restrictions[x.key] == {a.ip} L = c.map(inc, [10, 11, 12], workers=[{a.ip}, {a.ip, b.ip}, {b.ip}]) yield wait(L) assert s.host_restrictions[L[0].key] == {a.ip} assert s.host_restrictions[L[1].key] == {a.ip, b.ip} assert s.host_restrictions[L[2].key] == {b.ip} with pytest.raises(ValueError): c.map(inc, [10, 11, 12], workers=[{a.ip}]) @pytest.mark.skipif(not sys.platform.startswith('linux'), reason="Need 127.0.0.2 to mean localhost") @gen_cluster([('127.0.0.1', 1), ('127.0.0.2', 2)], client=True) def test_restrictions_get(c, s, a, b): dsk = {'x': 1, 'y': (inc, 'x'), 'z': (inc, 'y')} restrictions = {'y': {a.ip}, 'z': {b.ip}} futures = c.get(dsk, ['y', 'z'], restrictions, sync=False) result = yield futures assert result == [2, 3] assert 'y' in a.data assert 'z' in b.data @gen_cluster(client=True) def dont_test_bad_restrictions_raise_exception(c, s, a, b): z = c.submit(inc, 2, workers={'bad-address'}) try: yield z assert False except ValueError as e: assert 'bad-address' in str(e) assert z.key in str(e) @gen_cluster(client=True, timeout=None) def test_remove_worker(c, s, a, b): L = c.map(inc, range(20)) yield wait(L) yield b._close() assert b.address not in s.workers result = yield c.gather(L) assert result == list(map(inc, range(20))) @gen_cluster(ncores=[('127.0.0.1', 1)], client=True) def test_errors_dont_block(c, s, w): L = [c.submit(inc, 1), c.submit(throws, 1), c.submit(inc, 2), c.submit(throws, 2)] start = time() while not (L[0].status == L[2].status == 'finished'): assert time() < start + 5 yield gen.sleep(0.01) result = yield c.gather([L[0], L[2]]) assert result == [2, 3] @gen_cluster(client=True) def test_submit_quotes(c, s, a, b): def assert_list(x, z=[]): return isinstance(x, list) and isinstance(z, list) x = c.submit(assert_list, [1, 2, 3]) result = yield x assert result x = c.submit(assert_list, [1, 2, 3], z=[4, 5, 6]) result = yield x assert result x = c.submit(inc, 1) y = c.submit(inc, 2) z = c.submit(assert_list, [x, y]) result = yield z assert result @gen_cluster(client=True) def test_map_quotes(c, s, a, b): def assert_list(x, z=[]): return isinstance(x, list) and isinstance(z, list) L = c.map(assert_list, [[1, 2, 3], [4]]) result = yield c.gather(L) assert all(result) L = c.map(assert_list, [[1, 2, 3], [4]], z=[10]) result = yield c.gather(L) assert all(result) L = c.map(assert_list, [[1, 2, 3], [4]], [[]] * 3) result = yield c.gather(L) assert all(result) @gen_cluster() def test_two_consecutive_clients_share_results(s, a, b): c = yield Client((s.ip, s.port), asynchronous=True) x = c.submit(random.randint, 0, 1000, pure=True) xx = yield x f = yield Client((s.ip, s.port), asynchronous=True) y = f.submit(random.randint, 0, 1000, pure=True) yy = yield y assert xx == yy yield c.close() yield f.close() @gen_cluster(client=True) def test_submit_then_get_with_Future(c, s, a, b): x = c.submit(slowinc, 1) dsk = {'y': (inc, x)} result = yield c.get(dsk, 'y', sync=False) assert result == 3 @gen_cluster(client=True) def test_aliases(c, s, a, b): x = c.submit(inc, 1) dsk = {'y': x} result = yield c.get(dsk, 'y', sync=False) assert result == 2 @gen_cluster(client=True) def test_aliases_2(c, s, a, b): dsk_keys = [ ({'x': (inc, 1), 'y': 'x', 'z': 'x', 'w': (add, 'y', 'z')}, ['y', 'w']), ({'x': 'y', 'y': 1}, ['x']), ({'x': 1, 'y': 'x', 'z': 'y', 'w': (inc, 'z')}, ['w'])] for dsk, keys in dsk_keys: result = yield c.get(dsk, keys, sync=False) assert list(result) == list(dask.get(dsk, keys)) yield gen.moment @gen_cluster(client=True) def test__scatter(c, s, a, b): d = yield c.scatter({'y': 20}) assert isinstance(d['y'], Future) assert a.data.get('y') == 20 or b.data.get('y') == 20 y_who_has = s.get_who_has(keys=['y'])['y'] assert (a.address in y_who_has or b.address in y_who_has) assert s.get_nbytes(summary=False) == {'y': sizeof(20)} yy = yield c.gather([d['y']]) assert yy == [20] [x] = yield c.scatter([10]) assert isinstance(x, Future) assert a.data.get(x.key) == 10 or b.data.get(x.key) == 10 xx = yield c.gather([x]) x_who_has = s.get_who_has(keys=[x.key])[x.key] assert s.tasks[x.key].who_has assert (s.workers[a.address] in s.tasks[x.key].who_has or s.workers[b.address] in s.tasks[x.key].who_has) assert s.get_nbytes(summary=False) == {'y': sizeof(20), x.key: sizeof(10)} assert xx == [10] z = c.submit(add, x, d['y']) # submit works on Future result = yield z assert result == 10 + 20 result = yield c.gather([z, x]) assert result == [30, 10] @gen_cluster(client=True) def test__scatter_types(c, s, a, b): d = yield c.scatter({'x': 1}) assert isinstance(d, dict) assert list(d) == ['x'] for seq in [[1], (1,), {1}, frozenset([1])]: L = yield c.scatter(seq) assert isinstance(L, type(seq)) assert len(L) == 1 s.validate_state() seq = yield c.scatter(range(5)) assert isinstance(seq, list) assert len(seq) == 5 s.validate_state() @gen_cluster(client=True) def test__scatter_non_list(c, s, a, b): x = yield c.scatter(1) assert isinstance(x, Future) result = yield x assert result == 1 @gen_cluster(client=True) def test_scatter_hash(c, s, a, b): [a] = yield c.scatter([1]) [b] = yield c.scatter([1]) assert a.key == b.key s.validate_state() @gen_cluster(client=True) def test_scatter_tokenize_local(c, s, a, b): from dask.base import normalize_token class MyObj(object): pass L = [] @normalize_token.register(MyObj) def f(x): L.append(x) return 'x' obj = MyObj() future = yield c.scatter(obj) assert L and L[0] is obj @gen_cluster(client=True) def test_scatter_singletons(c, s, a, b): np = pytest.importorskip('numpy') pd = pytest.importorskip('pandas') for x in [1, np.ones(5), pd.DataFrame({'x': [1, 2, 3]})]: future = yield c.scatter(x) result = yield future assert str(result) == str(x) @gen_cluster(client=True) def test_scatter_typename(c, s, a, b): future = yield c.scatter(123) assert future.key.startswith('int') @gen_cluster(client=True) def test_scatter_hash(c, s, a, b): x = yield c.scatter(123) y = yield c.scatter(123) assert x.key == y.key z = yield c.scatter(123, hash=False) assert z.key != y.key @gen_cluster(client=True) def test_get_releases_data(c, s, a, b): [x] = yield c.get({'x': (inc, 1)}, ['x'], sync=False) import gc gc.collect() start = time() while c.refcount['x']: yield gen.sleep(0.01) assert time() < start + 2 def test_Current(s, a, b): with Client(s['address']) as c: assert Client.current() is c with pytest.raises(ValueError): Client.current() with Client(s['address']) as c: assert Client.current() is c def test_global_clients(loop): assert _get_global_client() is None with pytest.raises(ValueError): default_client() with cluster() as (s, [a, b]): with Client(s['address'], loop=loop) as c: assert _get_global_client() is c assert default_client() is c with Client(s['address'], loop=loop) as f: assert _get_global_client() is f assert default_client() is f assert default_client(c) is c assert default_client(f) is f assert _get_global_client() is None @gen_cluster(client=True) def test_exception_on_exception(c, s, a, b): x = c.submit(lambda: 1 / 0) y = c.submit(inc, x) with pytest.raises(ZeroDivisionError): yield y z = c.submit(inc, y) with pytest.raises(ZeroDivisionError): yield z @gen_cluster(client=True) def test_get_nbytes(c, s, a, b): [x] = yield c.scatter([1]) assert s.get_nbytes(summary=False) == {x.key: sizeof(1)} y = c.submit(inc, x) yield y assert s.get_nbytes(summary=False) == {x.key: sizeof(1), y.key: sizeof(2)} @pytest.mark.skipif(not sys.platform.startswith('linux'), reason="Need 127.0.0.2 to mean localhost") @gen_cluster([('127.0.0.1', 1), ('127.0.0.2', 2)], client=True) def test_nbytes_determines_worker(c, s, a, b): x = c.submit(identity, 1, workers=[a.ip]) y = c.submit(identity, tuple(range(100)), workers=[b.ip]) yield c.gather([x, y]) z = c.submit(lambda x, y: None, x, y) yield z assert s.tasks[z.key].who_has == {s.workers[b.address]} @gen_cluster(client=True) def test_if_intermediates_clear_on_error(c, s, a, b): x = delayed(div, pure=True)(1, 0) y = delayed(div, pure=True)(1, 2) z = delayed(add, pure=True)(x, y) f = c.compute(z) with pytest.raises(ZeroDivisionError): yield f s.validate_state() assert not any(ts.who_has for ts in s.tasks.values()) @gen_cluster(client=True) def test_pragmatic_move_small_data_to_large_data(c, s, a, b): np = pytest.importorskip('numpy') lists = c.map(np.ones, [10000] * 10, pure=False) sums = c.map(np.sum, lists) total = c.submit(sum, sums) def f(x, y): return None s.task_duration['f'] = 0.001 results = c.map(f, lists, [total] * 10) yield wait([total]) yield wait(results) assert sum(s.tasks[r.key].who_has.issubset(s.tasks[l.key].who_has) for l, r in zip(lists, results)) >= 9 @gen_cluster(client=True) def test_get_with_non_list_key(c, s, a, b): dsk = {('x', 0): (inc, 1), 5: (inc, 2)} x = yield c.get(dsk, ('x', 0), sync=False) y = yield c.get(dsk, 5, sync=False) assert x == 2 assert y == 3 @gen_cluster(client=True) def test_get_with_error(c, s, a, b): dsk = {'x': (div, 1, 0), 'y': (inc, 'x')} with pytest.raises(ZeroDivisionError): yield c.get(dsk, 'y', sync=False) def test_get_with_error_sync(c): dsk = {'x': (div, 1, 0), 'y': (inc, 'x')} with pytest.raises(ZeroDivisionError): c.get(dsk, 'y') @gen_cluster(client=True) def test_directed_scatter(c, s, a, b): yield c.scatter([1, 2, 3], workers=[a.address]) assert len(a.data) == 3 assert not b.data yield c.scatter([4, 5], workers=[b.name]) assert len(b.data) == 2 def test_directed_scatter_sync(c, s, a, b, loop): futures = c.scatter([1, 2, 3], workers=[b['address']]) has_what = sync(loop, c.scheduler.has_what) assert len(has_what[b['address']]) == len(futures) assert len(has_what[a['address']]) == 0 def test_iterator_scatter(c): aa = c.scatter([1, 2, 3]) assert [1, 2, 3] == c.gather(aa) g = (i for i in range(10)) futures = c.scatter(g) assert isinstance(futures, Iterator) a = next(futures) assert c.gather(a) == 0 futures = list(futures) assert len(futures) == 9 assert c.gather(futures) == [1, 2, 3, 4, 5, 6, 7, 8, 9] def test_queue_scatter(c): from distributed.compatibility import Queue q = Queue() for d in range(10): q.put(d) futures = c.scatter(q) assert isinstance(futures, Queue) a = futures.get() assert c.gather(a) == 0 def test_queue_scatter_gather_maxsize(c): from distributed.compatibility import Queue q = Queue(maxsize=3) out = c.scatter(q, maxsize=10) assert out.maxsize == 10 local = c.gather(q) assert not local.maxsize q = Queue() out = c.scatter(q) assert not out.maxsize local = c.gather(out, maxsize=10) assert local.maxsize == 10 q = Queue(maxsize=3) out = c.scatter(q) assert not out.maxsize def test_queue_gather(c): from distributed.compatibility import Queue q = Queue() qin = list(range(10)) for d in qin: q.put(d) futures = c.scatter(q) assert isinstance(futures, Queue) ff = c.gather(futures) assert isinstance(ff, Queue) qout = [] for f in range(10): qout.append(ff.get()) assert qout == qin @pytest.mark.skip(reason="intermittent blocking failures") def test_iterator_gather(c, c2): i_in = list(range(10)) g = (d for d in i_in) futures = c.scatter(g) assert isinstance(futures, Iterator) ff = c.gather(futures) assert isinstance(ff, Iterator) i_out = list(ff) assert i_out == i_in i_in = ['a', 'b', 'c', StopIteration('f'), StopIteration, 'd', 'c'] g = (d for d in i_in) futures = c.scatter(g) ff = c.gather(futures) i_out = list(ff) assert i_out[:3] == i_in[:3] # This is because StopIteration('f') != StopIteration('f') assert isinstance(i_out[3], StopIteration) assert i_out[3].args == i_in[3].args assert i_out[4:] == i_in[4:] @gen_cluster(client=True) def test_scatter_direct(c, s, a, b): future = yield c.scatter(123, direct=True) assert future.key in a.data or future.key in b.data assert s.tasks[future.key].who_has assert future.status == 'finished' result = yield future assert result == 123 assert not s.counters['op'].components[0]['scatter'] result = yield future assert not s.counters['op'].components[0]['gather'] result = yield c.gather(future) assert not s.counters['op'].components[0]['gather'] @gen_cluster(client=True) def test_scatter_direct_numpy(c, s, a, b): np = pytest.importorskip('numpy') x = np.ones(5) future = yield c.scatter(x, direct=True) result = yield future assert np.allclose(x, result) assert not s.counters['op'].components[0]['scatter'] @gen_cluster(client=True) def test_scatter_direct_broadcast(c, s, a, b): future2 = yield c.scatter(456, direct=True, broadcast=True) assert future2.key in a.data assert future2.key in b.data assert s.tasks[future2.key].who_has == {s.workers[a.address], s.workers[b.address]} result = yield future2 assert result == 456 assert not s.counters['op'].components[0]['scatter'] @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 4) def test_scatter_direct_balanced(c, s, *workers): futures = yield c.scatter([1, 2, 3], direct=True) assert sorted([len(w.data) for w in workers]) == [0, 1, 1, 1] @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 4) def test_scatter_direct_broadcast_target(c, s, *workers): futures = yield c.scatter([123, 456], direct=True, workers=workers[0].address) assert futures[0].key in workers[0].data assert futures[1].key in workers[0].data futures = yield c.scatter([123, 456], direct=True, broadcast=True, workers=[w.address for w in workers[:3]]) assert (f.key in w.data and w.address in s.tasks[f.key].who_has for f in futures for w in workers[:3]) @gen_cluster(client=True, ncores=[]) def test_scatter_direct_empty(c, s): with pytest.raises((ValueError, gen.TimeoutError)): yield c.scatter(123, direct=True, timeout=0.1) @gen_cluster(client=True, timeout=None, ncores=[('127.0.0.1', 1)] * 5) def test_scatter_direct_spread_evenly(c, s, *workers): futures = [] for i in range(10): future = yield c.scatter(i, direct=True) futures.append(future) assert all(w.data for w in workers) @pytest.mark.parametrize('direct', [True, False]) @pytest.mark.parametrize('broadcast', [True, False]) def test_scatter_gather_sync(c, direct, broadcast): futures = c.scatter([1, 2, 3], direct=direct, broadcast=broadcast) results = c.gather(futures, direct=direct) assert results == [1, 2, 3] delayed(inc)(1).compute(direct=direct) @gen_cluster(client=True) def test_gather_direct(c, s, a, b): futures = yield c.scatter([1, 2, 3]) data = yield c.gather(futures, direct=True) assert data == [1, 2, 3] @gen_cluster(client=True) def test_many_submits_spread_evenly(c, s, a, b): L = [c.submit(inc, i) for i in range(10)] yield wait(L) assert a.data and b.data @gen_cluster(client=True) def test_traceback(c, s, a, b): x = c.submit(div, 1, 0) tb = yield x.traceback() if sys.version_info[0] >= 3: assert any('x / y' in line for line in pluck(3, traceback.extract_tb(tb))) @gen_cluster(client=True) def test_get_traceback(c, s, a, b): try: yield c.get({'x': (div, 1, 0)}, 'x', sync=False) except ZeroDivisionError: exc_type, exc_value, exc_traceback = sys.exc_info() L = traceback.format_tb(exc_traceback) assert any('x / y' in line for line in L) @gen_cluster(client=True) def test_gather_traceback(c, s, a, b): x = c.submit(div, 1, 0) try: yield c.gather(x) except ZeroDivisionError: exc_type, exc_value, exc_traceback = sys.exc_info() L = traceback.format_tb(exc_traceback) assert any('x / y' in line for line in L) def test_traceback_sync(c): x = c.submit(div, 1, 0) tb = x.traceback() if sys.version_info[0] >= 3: assert any('x / y' in line for line in concat(traceback.extract_tb(tb)) if isinstance(line, str)) y = c.submit(inc, x) tb2 = y.traceback() assert set(pluck(3, traceback.extract_tb(tb2))).issuperset( set(pluck(3, traceback.extract_tb(tb)))) z = c.submit(div, 1, 2) tb = z.traceback() assert tb is None @gen_cluster(client=True) def test_upload_file(c, s, a, b): def g(): import myfile return myfile.f() try: for value in [123, 456]: with tmp_text('myfile.py', 'def f():\n return {}'.format(value)) as fn: yield c.upload_file(fn) x = c.submit(g, pure=False) result = yield x assert result == value finally: # Ensure that this test won't impact the others if 'myfile' in sys.modules: del sys.modules['myfile'] @gen_cluster(client=True) def test_upload_file_no_extension(c, s, a, b): with tmp_text('myfile', '') as fn: yield c.upload_file(fn) @gen_cluster(client=True) def test_upload_file_zip(c, s, a, b): def g(): import myfile return myfile.f() try: for value in [123, 456]: with tmp_text('myfile.py', 'def f():\n return {}'.format(value)) as fn_my_file: with zipfile.ZipFile('myfile.zip', 'w') as z: z.write(fn_my_file, arcname=os.path.basename(fn_my_file)) yield c.upload_file('myfile.zip') x = c.submit(g, pure=False) result = yield x assert result == value finally: # Ensure that this test won't impact the others if os.path.exists('myfile.zip'): os.remove('myfile.zip') if 'myfile' in sys.modules: del sys.modules['myfile'] for path in sys.path: if os.path.basename(path) == 'myfile.zip': sys.path.remove(path) break @gen_cluster(client=True) def test_upload_large_file(c, s, a, b): assert a.local_dir assert b.local_dir with tmp_text('myfile', 'abc') as fn: with tmp_text('myfile2', 'def') as fn2: yield c._upload_large_file(fn, remote_filename='x') yield c._upload_large_file(fn2) for w in [a, b]: assert os.path.exists(os.path.join(w.local_dir, 'x')) assert os.path.exists(os.path.join(w.local_dir, 'myfile2')) with open(os.path.join(w.local_dir, 'x')) as f: assert f.read() == 'abc' with open(os.path.join(w.local_dir, 'myfile2')) as f: assert f.read() == 'def' def test_upload_file_sync(c): def g(): import myfile return myfile.x with tmp_text('myfile.py', 'x = 123') as fn: c.upload_file(fn) x = c.submit(g) assert x.result() == 123 @gen_cluster(client=True) def test_upload_file_exception(c, s, a, b): with tmp_text('myfile.py', 'syntax-error!') as fn: with pytest.raises(SyntaxError): yield c.upload_file(fn) def test_upload_file_exception_sync(c): with tmp_text('myfile.py', 'syntax-error!') as fn: with pytest.raises(SyntaxError): c.upload_file(fn) @pytest.mark.skip @gen_cluster() def test_multiple_clients(s, a, b): a = yield Client((s.ip, s.port), asynchronous=True) b = yield Client((s.ip, s.port), asynchronous=True) x = a.submit(inc, 1) y = b.submit(inc, 2) assert x.client is a assert y.client is b xx = yield x yy = yield y assert xx == 2 assert yy == 3 z = a.submit(add, x, y) assert z.client is a zz = yield z assert zz == 5 yield a.close() yield b.close() @gen_cluster(client=True) def test_async_compute(c, s, a, b): from dask.delayed import delayed x = delayed(1) y = delayed(inc)(x) z = delayed(dec)(x) [yy, zz, aa] = c.compute([y, z, 3], sync=False) assert isinstance(yy, Future) assert isinstance(zz, Future) assert aa == 3 result = yield c.gather([yy, zz]) assert result == [2, 0] assert isinstance(c.compute(y), Future) assert isinstance(c.compute([y]), (tuple, list)) @gen_cluster(client=True) def test_async_compute_with_scatter(c, s, a, b): d = yield c.scatter({('x', 1): 1, ('y', 1): 2}) x, y = d[('x', 1)], d[('y', 1)] from dask.delayed import delayed z = delayed(add)(delayed(inc)(x), delayed(inc)(y)) zz = c.compute(z) [result] = yield c.gather([zz]) assert result == 2 + 3 def test_sync_compute(c): x = delayed(1) y = delayed(inc)(x) z = delayed(dec)(x) yy, zz = c.compute([y, z], sync=True) assert (yy, zz) == (2, 0) @gen_cluster(client=True) def test_remote_scatter_gather(c, s, a, b): x, y, z = yield c.scatter([1, 2, 3]) assert x.key in a.data or x.key in b.data assert y.key in a.data or y.key in b.data assert z.key in a.data or z.key in b.data xx, yy, zz = yield c.gather([x, y, z]) assert (xx, yy, zz) == (1, 2, 3) @gen_cluster(timeout=1000, client=True) def test_remote_submit_on_Future(c, s, a, b): x = c.submit(lambda x: x + 1, 1) y = c.submit(lambda x: x + 1, x) result = yield y assert result == 3 def test_start_is_idempotent(c): c.start() c.start() c.start() x = c.submit(inc, 1) assert x.result() == 2 @gen_cluster(client=True) def test_client_with_scheduler(c, s, a, b): assert s.ncores == {a.address: a.ncores, b.address: b.ncores} x = c.submit(inc, 1) y = c.submit(inc, 2) z = c.submit(add, x, y) result = yield x assert result == 1 + 1 result = yield z assert result == 1 + 1 + 1 + 2 A, B, C = yield c.scatter([1, 2, 3]) AA, BB, xx = yield c.gather([A, B, x]) assert (AA, BB, xx) == (1, 2, 2) result = yield c.get({'x': (inc, 1), 'y': (add, 'x', 10)}, 'y', sync=False) assert result == 12 @pytest.mark.skipif(not sys.platform.startswith('linux'), reason="Need 127.0.0.2 to mean localhost") @gen_cluster([('127.0.0.1', 1), ('127.0.0.2', 2)], client=True) def test_allow_restrictions(c, s, a, b): aws = s.workers[a.address] bws = s.workers[a.address] x = c.submit(inc, 1, workers=a.ip) yield x assert s.tasks[x.key].who_has == {aws} assert not s.loose_restrictions x = c.submit(inc, 2, workers=a.ip, allow_other_workers=True) yield x assert s.tasks[x.key].who_has == {aws} assert x.key in s.loose_restrictions L = c.map(inc, range(3, 13), workers=a.ip, allow_other_workers=True) yield wait(L) assert all(s.tasks[f.key].who_has == {aws} for f in L) assert {f.key for f in L}.issubset(s.loose_restrictions) x = c.submit(inc, 15, workers='127.0.0.3', allow_other_workers=True) yield x assert s.tasks[x.key].who_has assert x.key in s.loose_restrictions L = c.map(inc, range(15, 25), workers='127.0.0.3', allow_other_workers=True) yield wait(L) assert all(s.tasks[f.key].who_has for f in L) assert {f.key for f in L}.issubset(s.loose_restrictions) with pytest.raises(ValueError): c.submit(inc, 1, allow_other_workers=True) with pytest.raises(ValueError): c.map(inc, [1], allow_other_workers=True) with pytest.raises(TypeError): c.submit(inc, 20, workers='127.0.0.1', allow_other_workers='Hello!') with pytest.raises(TypeError): c.map(inc, [20], workers='127.0.0.1', allow_other_workers='Hello!') @pytest.mark.skipif('True', reason='because') def test_bad_address(): try: Client('123.123.123.123:1234', timeout=0.1) except (IOError, gen.TimeoutError) as e: assert "connect" in str(e).lower() try: Client('127.0.0.1:1234', timeout=0.1) except (IOError, gen.TimeoutError) as e: assert "connect" in str(e).lower() @gen_cluster(client=True) def test_long_error(c, s, a, b): def bad(x): raise ValueError('a' * 100000) x = c.submit(bad, 10) try: yield x except ValueError as e: assert len(str(e)) < 100000 tb = yield x.traceback() assert all(len(line) < 100000 for line in concat(traceback.extract_tb(tb)) if isinstance(line, str)) @gen_cluster(client=True) def test_map_on_futures_with_kwargs(c, s, a, b): def f(x, y=10): return x + y futures = c.map(inc, range(10)) futures2 = c.map(f, futures, y=20) results = yield c.gather(futures2) assert results == [i + 1 + 20 for i in range(10)] future = c.submit(inc, 100) future2 = c.submit(f, future, y=200) result = yield future2 assert result == 100 + 1 + 200 class BadlySerializedObject(object): def __getstate__(self): return 1 def __setstate__(self, state): raise TypeError("hello!") class FatallySerializedObject(object): def __getstate__(self): return 1 def __setstate__(self, state): print("This should never have been deserialized, closing") import sys sys.exit(0) @gen_cluster(client=True) def test_badly_serialized_input(c, s, a, b): o = BadlySerializedObject() future = c.submit(inc, o) futures = c.map(inc, range(10)) L = yield c.gather(futures) assert list(L) == list(map(inc, range(10))) assert future.status == 'error' @pytest.mark.skipif('True', reason="") def test_badly_serialized_input_stderr(capsys, c): o = BadlySerializedObject() future = c.submit(inc, o) start = time() while True: sleep(0.01) out, err = capsys.readouterr() if 'hello!' in err: break assert time() - start < 20 assert future.status == 'error' def test_repr(loop): funcs = [str, repr, lambda x: x._repr_html_()] with cluster(nworkers=3) as (s, [a, b, c]): with Client(s['address'], loop=loop) as c: for func in funcs: text = func(c) assert c.scheduler.address in text assert '3' in text for func in funcs: text = func(c) assert 'not connected' in text @gen_cluster(client=True) def test_repr_async(c, s, a, b): c._repr_html_() @gen_test() def test_repr_localcluster(): cluster = yield LocalCluster(processes=False, diagnostics_port=None, asynchronous=True) client = yield Client(cluster, asynchronous=True) try: text = client._repr_html_() assert cluster.scheduler.address in text finally: yield client.close() yield cluster.close() @gen_cluster(client=True) def test_forget_simple(c, s, a, b): x = c.submit(inc, 1, retries=2) y = c.submit(inc, 2) z = c.submit(add, x, y, workers=[a.ip], allow_other_workers=True) yield wait([x, y, z]) assert not s.waiting_data.get(x.key) assert not s.waiting_data.get(y.key) assert set(s.tasks) == {x.key, y.key, z.key} s.client_releases_keys(keys=[x.key], client=c.id) assert x.key in s.tasks s.client_releases_keys(keys=[z.key], client=c.id) assert x.key not in s.tasks assert z.key not in s.tasks assert not s.tasks[y.key].dependents s.client_releases_keys(keys=[y.key], client=c.id) assert not s.tasks @gen_cluster(client=True) def test_forget_complex(e, s, A, B): a, b, c, d = yield e.scatter(list(range(4))) ab = e.submit(add, a, b) cd = e.submit(add, c, d) ac = e.submit(add, a, c) acab = e.submit(add, ac, ab) yield wait([a, b, c, d, ab, ac, cd, acab]) assert set(s.tasks) == {f.key for f in [ab, ac, cd, acab, a, b, c, d]} s.client_releases_keys(keys=[ab.key], client=e.id) assert set(s.tasks) == {f.key for f in [ab, ac, cd, acab, a, b, c, d]} s.client_releases_keys(keys=[b.key], client=e.id) assert set(s.tasks) == {f.key for f in [ac, cd, acab, a, c, d]} s.client_releases_keys(keys=[acab.key], client=e.id) assert set(s.tasks) == {f.key for f in [ac, cd, a, c, d]} assert b.key not in s.tasks start = time() while b.key in A.data or b.key in B.data: yield gen.sleep(0.01) assert time() < start + 10 s.client_releases_keys(keys=[ac.key], client=e.id) assert set(s.tasks) == {f.key for f in [cd, a, c, d]} @gen_cluster(client=True) def test_forget_in_flight(e, s, A, B): delayed2 = partial(delayed, pure=True) a, b, c, d = [delayed2(slowinc)(i) for i in range(4)] ab = delayed2(slowadd)(a, b, dask_key_name="ab") cd = delayed2(slowadd)(c, d, dask_key_name="cd") ac = delayed2(slowadd)(a, c, dask_key_name="ac") acab = delayed2(slowadd)(ac, ab, dask_key_name="acab") x, y = e.compute([ac, acab]) s.validate_state() for i in range(5): yield gen.sleep(0.01) s.validate_state() s.client_releases_keys(keys=[y.key], client=e.id) s.validate_state() for k in [acab.key, ab.key, b.key]: assert k not in s.tasks @gen_cluster(client=True) def test_forget_errors(c, s, a, b): x = c.submit(div, 1, 0) y = c.submit(inc, x) z = c.submit(inc, y) yield wait([y]) assert x.key in s.exceptions assert x.key in s.exceptions_blame assert y.key in s.exceptions_blame assert z.key in s.exceptions_blame s.client_releases_keys(keys=[z.key], client=c.id) assert x.key in s.exceptions assert x.key in s.exceptions_blame assert y.key in s.exceptions_blame assert z.key not in s.exceptions_blame s.client_releases_keys(keys=[x.key], client=c.id) assert x.key in s.exceptions assert x.key in s.exceptions_blame assert y.key in s.exceptions_blame assert z.key not in s.exceptions_blame s.client_releases_keys(keys=[y.key], client=c.id) assert x.key not in s.exceptions assert x.key not in s.exceptions_blame assert y.key not in s.exceptions_blame assert z.key not in s.exceptions_blame def test_repr_sync(c): s = str(c) r = repr(c) assert c.scheduler.address in s assert c.scheduler.address in r assert str(2) in s # nworkers assert 'cores' in s @gen_cluster(client=True) def test_waiting_data(c, s, a, b): x = c.submit(inc, 1) y = c.submit(inc, 2) z = c.submit(add, x, y, workers=[a.ip], allow_other_workers=True) yield wait([x, y, z]) assert not s.waiting_data.get(x.key) assert not s.waiting_data.get(y.key) @gen_cluster() def test_multi_client(s, a, b): c = yield Client((s.ip, s.port), asynchronous=True) f = yield Client((s.ip, s.port), asynchronous=True) assert set(s.client_comms) == {c.id, f.id} x = c.submit(inc, 1) y = f.submit(inc, 2) y2 = c.submit(inc, 2) assert y.key == y2.key yield wait([x, y]) assert s.wants_what == {c.id: {x.key, y.key}, f.id: {y.key}, 'fire-and-forget': set()} assert s.who_wants == {x.key: {c.id}, y.key: {c.id, f.id}} yield c.close() start = time() while c.id in s.wants_what: yield gen.sleep(0.01) assert time() < start + 5 assert c.id not in s.wants_what assert c.id not in s.who_wants[y.key] assert x.key not in s.who_wants yield f.close() start = time() while s.tasks: yield gen.sleep(0.01) assert time() < start + 2, s.tasks def long_running_client_connection(address): with pristine_loop(): c = Client(address) x = c.submit(lambda x: x + 1, 10) x.result() sleep(100) @gen_cluster() def test_cleanup_after_broken_client_connection(s, a, b): proc = mp_context.Process(target=long_running_client_connection, args=(s.address,)) proc.daemon = True proc.start() start = time() while not s.tasks: yield gen.sleep(0.01) assert time() < start + 5 proc.terminate() start = time() while s.tasks: yield gen.sleep(0.01) assert time() < start + 5 @gen_cluster() def test_multi_garbage_collection(s, a, b): c = yield Client((s.ip, s.port), asynchronous=True) f = yield Client((s.ip, s.port), asynchronous=True) x = c.submit(inc, 1) y = f.submit(inc, 2) y2 = c.submit(inc, 2) assert y.key == y2.key yield wait([x, y]) x.__del__() start = time() while x.key in a.data or x.key in b.data: yield gen.sleep(0.01) assert time() < start + 5 assert s.wants_what == {c.id: {y.key}, f.id: {y.key}, 'fire-and-forget': set()} assert s.who_wants == {y.key: {c.id, f.id}} y.__del__() start = time() while x.key in s.wants_what[f.id]: yield gen.sleep(0.01) assert time() < start + 5 yield gen.sleep(0.1) assert y.key in a.data or y.key in b.data assert s.wants_what == {c.id: {y.key}, f.id: set(), 'fire-and-forget': set()} assert s.who_wants == {y.key: {c.id}} y2.__del__() start = time() while y.key in a.data or y.key in b.data: yield gen.sleep(0.01) assert time() < start + 5 assert not any(v for v in s.wants_what.values()) assert not s.who_wants yield c.close() yield f.close() @gen_cluster(client=True) def test__broadcast(c, s, a, b): x, y = yield c.scatter([1, 2], broadcast=True) assert a.data == b.data == {x.key: 1, y.key: 2} @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 4) def test__broadcast_integer(c, s, *workers): x, y = yield c.scatter([1, 2], broadcast=2) assert len(s.tasks[x.key].who_has) == 2 assert len(s.tasks[y.key].who_has) == 2 @gen_cluster(client=True) def test__broadcast_dict(c, s, a, b): d = yield c.scatter({'x': 1}, broadcast=True) assert a.data == b.data == {'x': 1} def test_broadcast(c, s, a, b): x, y = c.scatter([1, 2], broadcast=True) has_what = sync(c.loop, c.scheduler.has_what) assert {k: set(v) for k, v in has_what.items()} == { a['address']: {x.key, y.key}, b['address']: {x.key, y.key}} [z] = c.scatter([3], broadcast=True, workers=[a['address']]) has_what = sync(c.loop, c.scheduler.has_what) assert {k: set(v) for k, v in has_what.items()} == { a['address']: {x.key, y.key, z.key}, b['address']: {x.key, y.key}} @gen_cluster(client=True) def test_proxy(c, s, a, b): msg = yield c.scheduler.proxy(msg={'op': 'identity'}, worker=a.address) assert msg['id'] == a.identity()['id'] @gen_cluster(client=True) def test__cancel(c, s, a, b): x = c.submit(slowinc, 1) y = c.submit(slowinc, x) while y.key not in s.tasks: yield gen.sleep(0.01) yield c.cancel([x]) assert x.cancelled() assert 'cancel' in str(x) s.validate_state() start = time() while not y.cancelled(): yield gen.sleep(0.01) assert time() < start + 5 assert not s.tasks s.validate_state() @gen_cluster(client=True) def test__cancel_tuple_key(c, s, a, b): x = c.submit(inc, 1, key=('x', 0, 1)) result = yield x yield c.cancel(x) with pytest.raises(CancelledError): yield x @gen_cluster() def test__cancel_multi_client(s, a, b): c = yield Client((s.ip, s.port), asynchronous=True) f = yield Client((s.ip, s.port), asynchronous=True) x = c.submit(slowinc, 1) y = f.submit(slowinc, 1) assert x.key == y.key yield c.cancel([x]) assert x.cancelled() assert not y.cancelled() start = time() while y.key not in s.tasks: yield gen.sleep(0.01) assert time() < start + 5 out = yield y assert out == 2 with pytest.raises(CancelledError): yield x yield c.close() yield f.close() @gen_cluster(client=True) def test__cancel_collection(c, s, a, b): L = c.map(double, [[1], [2], [3]]) x = db.Bag({('b', i): f for i, f in enumerate(L)}, 'b', 3) yield c.cancel(x) yield c.cancel([x]) assert all(f.cancelled() for f in L) assert not s.tasks def test_cancel(c): x = c.submit(slowinc, 1, key='x') y = c.submit(slowinc, x, key='y') z = c.submit(slowinc, y, key='z') c.cancel([y]) start = time() while not z.cancelled(): sleep(0.01) assert time() < start + 5 assert x.result() == 2 z.cancel() assert z.cancelled() @gen_cluster(client=True) def test_future_type(c, s, a, b): x = c.submit(inc, 1) yield wait([x]) assert x.type == int assert 'int' in str(x) @gen_cluster(client=True) def test_traceback_clean(c, s, a, b): x = c.submit(div, 1, 0) try: yield x except Exception as e: f = e exc_type, exc_value, tb = sys.exc_info() while tb: assert 'scheduler' not in tb.tb_frame.f_code.co_filename assert 'worker' not in tb.tb_frame.f_code.co_filename tb = tb.tb_next @gen_cluster(client=True) def test_map_queue(c, s, a, b): from distributed.compatibility import Queue, isqueue q_1 = Queue(maxsize=2) q_2 = c.map(inc, q_1) assert isqueue(q_2) assert not q_2.maxsize q_3 = c.map(double, q_2, maxsize=3) assert isqueue(q_3) assert q_3.maxsize == 3 q_4 = yield c._gather(q_3) assert isqueue(q_4) q_1.put(1) f = q_4.get() assert isinstance(f, Future) result = yield f assert result == (1 + 1) * 2 @pytest.mark.skipif(sys.version_info >= (3, 7), reason="replace StopIteration with return") @gen_cluster(client=True) def test_map_iterator_with_return(c, s, a, b): def g(): yield 1 yield 2 raise StopIteration(3) # py2.7 compat. f1 = c.map(lambda x: x, g()) assert isinstance(f1, Iterator) start = time() # ensure that we compute eagerly while not s.tasks: yield gen.sleep(0.01) assert time() < start + 5 g1 = g() try: while True: f = next(f1) n = yield f assert n == next(g1) except StopIteration as e: with pytest.raises(StopIteration) as exc_info: next(g1) assert e.args == exc_info.value.args @gen_cluster(client=True) def test_map_iterator(c, s, a, b): x = iter([1, 2, 3]) y = iter([10, 20, 30]) f1 = c.map(add, x, y) assert isinstance(f1, Iterator) start = time() # ensure that we compute eagerly while not s.tasks: yield gen.sleep(0.01) assert time() < start + 5 f2 = c.map(double, f1) assert isinstance(f2, Iterator) future = next(f2) result = yield future assert result == (1 + 10) * 2 futures = list(f2) results = [] for f in futures: r = yield f results.append(r) assert results == [(2 + 20) * 2, (3 + 30) * 2] items = enumerate(range(10)) futures = c.map(lambda x: x, items) assert isinstance(futures, Iterator) result = yield next(futures) assert result == (0, 0) futures_l = list(futures) results = [] for f in futures_l: r = yield f results.append(r) assert results == [(i, i) for i in range(1, 10)] @gen_cluster(client=True) def test_map_infinite_iterators(c, s, a, b): futures = c.map(add, [1, 2], itertools.repeat(10)) assert len(futures) == 2 def test_map_iterator_sync(c): items = enumerate(range(10)) futures = c.map(lambda x: x, items) next(futures).result() == (0, 0) @gen_cluster(client=True) def test_map_differnet_lengths(c, s, a, b): assert len(c.map(add, [1, 2], [1, 2, 3])) == 2 def test_Future_exception_sync_2(loop, capsys): with cluster() as (s, [a, b]): with Client(s['address'], loop=loop) as c: assert dask.base.get_scheduler() == c.get out, err = capsys.readouterr() assert len(out.strip().split('\n')) == 1 assert dask.base.get_scheduler() != c.get @gen_cluster(timeout=60, client=True) def test_async_persist(c, s, a, b): from dask.delayed import delayed, Delayed x = delayed(1) y = delayed(inc)(x) z = delayed(dec)(x) w = delayed(add)(y, z) yy, ww = c.persist([y, w]) assert type(yy) == type(y) assert type(ww) == type(w) assert len(yy.dask) == 1 assert len(ww.dask) == 1 assert len(w.dask) > 1 assert y.__dask_keys__() == yy.__dask_keys__() assert w.__dask_keys__() == ww.__dask_keys__() while y.key not in s.tasks and w.key not in s.tasks: yield gen.sleep(0.01) assert s.who_wants[y.key] == {c.id} assert s.who_wants[w.key] == {c.id} yyf, wwf = c.compute([yy, ww]) yyy, www = yield c.gather([yyf, wwf]) assert yyy == inc(1) assert www == add(inc(1), dec(1)) assert isinstance(c.persist(y), Delayed) assert isinstance(c.persist([y]), (list, tuple)) @gen_cluster(client=True) def test__persist(c, s, a, b): pytest.importorskip('dask.array') import dask.array as da x = da.ones((10, 10), chunks=(5, 10)) y = 2 * (x + 1) assert len(y.dask) == 6 yy = c.persist(y) assert len(y.dask) == 6 assert len(yy.dask) == 2 assert all(isinstance(v, Future) for v in yy.dask.values()) assert yy.__dask_keys__() == y.__dask_keys__() g, h = c.compute([y, yy]) gg, hh = yield c.gather([g, h]) assert (gg == hh).all() def test_persist(c): pytest.importorskip('dask.array') import dask.array as da x = da.ones((10, 10), chunks=(5, 10)) y = 2 * (x + 1) assert len(y.dask) == 6 yy = c.persist(y) assert len(y.dask) == 6 assert len(yy.dask) == 2 assert all(isinstance(v, Future) for v in yy.dask.values()) assert yy.__dask_keys__() == y.__dask_keys__() zz = yy.compute() z = y.compute() assert (zz == z).all() @gen_cluster(timeout=60, client=True) def test_long_traceback(c, s, a, b): from distributed.protocol.pickle import dumps def deep(n): if n == 0: 1 / 0 else: return deep(n - 1) x = c.submit(deep, 200) yield wait([x]) assert len(dumps(c.futures[x.key].traceback)) < 10000 assert isinstance(c.futures[x.key].exception, ZeroDivisionError) @gen_cluster(client=True) def test_wait_on_collections(c, s, a, b): L = c.map(double, [[1], [2], [3]]) x = db.Bag({('b', i): f for i, f in enumerate(L)}, 'b', 3) yield wait(x) assert all(f.key in a.data or f.key in b.data for f in L) @gen_cluster(client=True) def test_futures_of_get(c, s, a, b): x, y, z = c.map(inc, [1, 2, 3]) assert set(futures_of(0)) == set() assert set(futures_of(x)) == {x} assert set(futures_of([x, y, z])) == {x, y, z} assert set(futures_of([x, [y], [[z]]])) == {x, y, z} assert set(futures_of({'x': x, 'y': [y]})) == {x, y} b = db.Bag({('b', i): f for i, f in enumerate([x, y, z])}, 'b', 3) assert set(futures_of(b)) == {x, y, z} sg = SubgraphCallable({'x': x, 'y': y, 'z': z, 'out': (add, (add, (add, x, y), z), 'in')}, 'out', ('in',)) assert set(futures_of(sg)) == {x, y, z} def test_futures_of_class(): da = pytest.importorskip('dask.array') assert futures_of([da.Array]) == [] @gen_cluster(client=True) def test_futures_of_cancelled_raises(c, s, a, b): x = c.submit(inc, 1) yield c.cancel([x]) with pytest.raises(CancelledError): yield x with pytest.raises(CancelledError): yield c.get({'x': (inc, x), 'y': (inc, 2)}, ['x', 'y'], sync=False) with pytest.raises(CancelledError): c.submit(inc, x) with pytest.raises(CancelledError): c.submit(add, 1, y=x) with pytest.raises(CancelledError): c.map(add, [1], y=x) assert 'y' not in s.tasks @pytest.mark.skip @gen_cluster(ncores=[('127.0.0.1', 1)], client=True) def test_dont_delete_recomputed_results(c, s, w): x = c.submit(inc, 1) # compute first time yield wait([x]) x.__del__() # trigger garbage collection yield gen.moment xx = c.submit(inc, 1) # compute second time start = time() while xx.key not in w.data: # data shows up yield gen.sleep(0.01) assert time() < start + 1 while time() < start + (s.delete_interval + 100) / 1000: # and stays assert xx.key in w.data yield gen.sleep(0.01) @gen_cluster(ncores=[], client=True) def test_fatally_serialized_input(c, s): o = FatallySerializedObject() future = c.submit(inc, o) while not s.tasks: yield gen.sleep(0.01) @pytest.mark.skip(reason='Use fast random selection now') @gen_cluster(client=True) def test_balance_tasks_by_stacks(c, s, a, b): x = c.submit(inc, 1) yield wait(x) y = c.submit(inc, 2) yield wait(y) assert len(a.data) == len(b.data) == 1 @gen_cluster(client=True) def test_run(c, s, a, b): results = yield c.run(inc, 1) assert results == {a.address: 2, b.address: 2} results = yield c.run(inc, 1, workers=[a.address]) assert results == {a.address: 2} results = yield c.run(inc, 1, workers=[]) assert results == {} @gen_cluster(client=True) def test_run_handles_picklable_data(c, s, a, b): futures = c.map(inc, range(10)) yield wait(futures) def func(): return {}, set(), [], (), 1, 'hello', b'100' results = yield c.run_on_scheduler(func) assert results == func() results = yield c.run(func) assert results == {w.address: func() for w in [a, b]} def test_run_sync(c, s, a, b): def func(x, y=10): return x + y result = c.run(func, 1, y=2) assert result == {a['address']: 3, b['address']: 3} result = c.run(func, 1, y=2, workers=[a['address']]) assert result == {a['address']: 3} @gen_cluster(client=True) def test_run_coroutine(c, s, a, b): results = yield c.run(geninc, 1, delay=0.05) assert results == {a.address: 2, b.address: 2} results = yield c.run(geninc, 1, delay=0.05, workers=[a.address]) assert results == {a.address: 2} results = yield c.run(geninc, 1, workers=[]) assert results == {} with pytest.raises(RuntimeError) as exc_info: yield c.run(throws, 1) assert "hello" in str(exc_info) if sys.version_info >= (3, 5): results = yield c.run(asyncinc, 2, delay=0.01) assert results == {a.address: 3, b.address: 3} def test_run_coroutine_sync(c, s, a, b): result = c.run(geninc, 2, delay=0.01) assert result == {a['address']: 3, b['address']: 3} result = c.run(geninc, 2, workers=[a['address']]) assert result == {a['address']: 3} t1 = time() result = c.run(geninc, 2, delay=10, wait=False) t2 = time() assert result is None assert t2 - t1 <= 1.0 def test_run_exception(c): def raise_exception(exc_type, exc_msg): raise exc_type(exc_msg) for exc_type in [ValueError, RuntimeError]: with pytest.raises(exc_type) as excinfo: c.run(raise_exception, exc_type, 'informative message') assert 'informative message' in str(excinfo.value) def test_diagnostic_ui(loop): with cluster() as (s, [a, b]): a_addr = a['address'] b_addr = b['address'] with Client(s['address'], loop=loop) as c: d = c.ncores() assert d == {a_addr: 1, b_addr: 1} d = c.ncores([a_addr]) assert d == {a_addr: 1} d = c.ncores(a_addr) assert d == {a_addr: 1} d = c.ncores(a['address']) assert d == {a_addr: 1} x = c.submit(inc, 1) y = c.submit(inc, 2) z = c.submit(inc, 3) wait([x, y, z]) d = c.who_has() assert set(d) == {x.key, y.key, z.key} assert all(w in [a_addr, b_addr] for v in d.values() for w in v) assert all(d.values()) d = c.who_has([x, y]) assert set(d) == {x.key, y.key} d = c.who_has(x) assert set(d) == {x.key} d = c.has_what() assert set(d) == {a_addr, b_addr} assert all(k in [x.key, y.key, z.key] for v in d.values() for k in v) d = c.has_what([a_addr]) assert set(d) == {a_addr} d = c.has_what(a_addr) assert set(d) == {a_addr} def test_diagnostic_nbytes_sync(c): incs = c.map(inc, [1, 2, 3]) doubles = c.map(double, [1, 2, 3]) wait(incs + doubles) assert c.nbytes(summary=False) == {k.key: sizeof(1) for k in incs + doubles} assert c.nbytes(summary=True) == {'inc': sizeof(1) * 3, 'double': sizeof(1) * 3} @gen_cluster(client=True) def test_diagnostic_nbytes(c, s, a, b): incs = c.map(inc, [1, 2, 3]) doubles = c.map(double, [1, 2, 3]) yield wait(incs + doubles) assert s.get_nbytes(summary=False) == {k.key: sizeof(1) for k in incs + doubles} assert s.get_nbytes(summary=True) == {'inc': sizeof(1) * 3, 'double': sizeof(1) * 3} @gen_test() def test_worker_aliases(): s = Scheduler(validate=True) s.start(0) a = Worker(s.ip, s.port, name='alice') b = Worker(s.ip, s.port, name='bob') w = Worker(s.ip, s.port, name=3) yield [a._start(), b._start(), w._start()] c = yield Client((s.ip, s.port), asynchronous=True) L = c.map(inc, range(10), workers='alice') future = yield c.scatter(123, workers=3) yield wait(L) assert len(a.data) == 10 assert len(b.data) == 0 assert dict(w.data) == {future.key: 123} for i, alias in enumerate([3, [3], 'alice']): result = yield c.submit(lambda x: x + 1, i, workers=alias) assert result == i + 1 yield c.close() yield [a._close(), b._close(), w._close()] yield s.close() def test_persist_get_sync(c): dadd = delayed(add) x, y = delayed(1), delayed(2) xx = delayed(add)(x, x) yy = delayed(add)(y, y) xxyy = delayed(add)(xx, yy) xxyy2 = c.persist(xxyy) xxyy3 = delayed(add)(xxyy2, 10) assert xxyy3.compute() == ((1 + 1) + (2 + 2)) + 10 @gen_cluster(client=True) def test_persist_get(c, s, a, b): dadd = delayed(add) x, y = delayed(1), delayed(2) xx = delayed(add)(x, x) yy = delayed(add)(y, y) xxyy = delayed(add)(xx, yy) xxyy2 = c.persist(xxyy) xxyy3 = delayed(add)(xxyy2, 10) yield gen.sleep(0.5) result = yield c.get(xxyy3.dask, xxyy3.__dask_keys__(), sync=False) assert result[0] == ((1 + 1) + (2 + 2)) + 10 result = yield c.compute(xxyy3) assert result == ((1 + 1) + (2 + 2)) + 10 result = yield c.compute(xxyy3) assert result == ((1 + 1) + (2 + 2)) + 10 result = yield c.compute(xxyy3) assert result == ((1 + 1) + (2 + 2)) + 10 @pytest.mark.skipif(sys.platform.startswith('win'), reason="num_fds not supported on windows") def test_client_num_fds(loop): psutil = pytest.importorskip('psutil') with cluster() as (s, [a, b]): proc = psutil.Process() with Client(s['address'], loop=loop) as c: # first client to start loop before = proc.num_fds() # measure for i in range(4): with Client(s['address'], loop=loop): # start more clients pass start = time() while proc.num_fds() > before: sleep(0.01) assert time() < start + 4 @gen_cluster() def test_startup_close_startup(s, a, b): c = yield Client((s.ip, s.port), asynchronous=True) yield c.close() c = yield Client((s.ip, s.port), asynchronous=True) yield c.close() def test_startup_close_startup_sync(loop): with cluster() as (s, [a, b]): with Client(s['address'], loop=loop) as c: sleep(0.1) with Client(s['address']) as c: pass with Client(s['address']) as c: pass sleep(0.1) with Client(s['address']) as c: pass @gen_cluster(client=True) def test_badly_serialized_exceptions(c, s, a, b): def f(): class BadlySerializedException(Exception): def __reduce__(self): raise TypeError() raise BadlySerializedException('hello world') x = c.submit(f) try: result = yield x except Exception as e: assert 'hello world' in str(e) else: assert False @gen_cluster(client=True) def test_rebalance(c, s, a, b): aws = s.workers[a.address] bws = s.workers[b.address] x, y = yield c.scatter([1, 2], workers=[a.address]) assert len(a.data) == 2 assert len(b.data) == 0 s.validate_state() yield c.rebalance() s.validate_state() assert len(b.data) == 1 assert {ts.key for ts in bws.has_what} == set(b.data) assert bws in s.tasks[x.key].who_has or bws in s.tasks[y.key].who_has assert len(a.data) == 1 assert {ts.key for ts in aws.has_what} == set(a.data) assert (aws not in s.tasks[x.key].who_has or aws not in s.tasks[y.key].who_has) @gen_cluster(ncores=[('127.0.0.1', 1)] * 4, client=True) def test_rebalance_workers(e, s, a, b, c, d): w, x, y, z = yield e.scatter([1, 2, 3, 4], workers=[a.address]) assert len(a.data) == 4 assert len(b.data) == 0 assert len(c.data) == 0 assert len(d.data) == 0 yield e.rebalance([x, y], workers=[a.address, c.address]) assert len(a.data) == 3 assert len(b.data) == 0 assert len(c.data) == 1 assert len(d.data) == 0 assert c.data == {x.key: 2} or c.data == {y.key: 3} yield e.rebalance() assert len(a.data) == 1 assert len(b.data) == 1 assert len(c.data) == 1 assert len(d.data) == 1 s.validate_state() @gen_cluster(client=True) def test_rebalance_execution(c, s, a, b): futures = c.map(inc, range(10), workers=a.address) yield c.rebalance(futures) assert len(a.data) == len(b.data) == 5 s.validate_state() def test_rebalance_sync(c, s, a, b): futures = c.map(inc, range(10), workers=[a['address']]) c.rebalance(futures) has_what = c.has_what() assert len(has_what) == 2 assert list(valmap(len, has_what).values()) == [5, 5] @gen_cluster(client=True) def test_rebalance_unprepared(c, s, a, b): futures = c.map(slowinc, range(10), delay=0.05, workers=a.address) yield gen.sleep(0.1) yield c.rebalance(futures) s.validate_state() @gen_cluster(client=True) def test_receive_lost_key(c, s, a, b): x = c.submit(inc, 1, workers=[a.address]) result = yield x yield a._close() start = time() while x.status == 'finished': assert time() < start + 5 yield gen.sleep(0.01) @pytest.mark.skipif(not sys.platform.startswith('linux'), reason="Need 127.0.0.2 to mean localhost") @gen_cluster([('127.0.0.1', 1), ('127.0.0.2', 2)], client=True) def test_unrunnable_task_runs(c, s, a, b): x = c.submit(inc, 1, workers=[a.ip]) result = yield x yield a._close() start = time() while x.status == 'finished': assert time() < start + 5 yield gen.sleep(0.01) assert s.tasks[x.key] in s.unrunnable assert s.get_task_status(keys=[x.key]) == {x.key: 'no-worker'} w = Worker(s.ip, s.port, loop=s.loop) yield w._start() start = time() while x.status != 'finished': assert time() < start + 2 yield gen.sleep(0.01) assert s.tasks[x.key] not in s.unrunnable result = yield x assert result == 2 yield w._close() @gen_cluster(client=True, ncores=[]) def test_add_worker_after_tasks(c, s): futures = c.map(inc, range(10)) n = Nanny(s.ip, s.port, ncores=2, loop=s.loop) n.start(0) result = yield c.gather(futures) yield n._close() @pytest.mark.skipif(not sys.platform.startswith('linux'), reason="Need 127.0.0.2 to mean localhost") @gen_cluster([('127.0.0.1', 1), ('127.0.0.2', 2)], client=True) def test_workers_register_indirect_data(c, s, a, b): [x] = yield c.scatter([1], workers=a.address) y = c.submit(inc, x, workers=b.ip) yield y assert b.data[x.key] == 1 assert s.tasks[x.key].who_has == {s.workers[a.address], s.workers[b.address]} assert s.workers[b.address].has_what == {s.tasks[x.key], s.tasks[y.key]} s.validate_state() @gen_cluster(client=True) def test_submit_on_cancelled_future(c, s, a, b): x = c.submit(inc, 1) yield x yield c.cancel(x) with pytest.raises(CancelledError): y = c.submit(inc, x) @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 10) def test_replicate(c, s, *workers): [a, b] = yield c.scatter([1, 2]) yield s.replicate(keys=[a.key, b.key], n=5) s.validate_state() assert len(s.tasks[a.key].who_has) == 5 assert len(s.tasks[b.key].who_has) == 5 assert sum(a.key in w.data for w in workers) == 5 assert sum(b.key in w.data for w in workers) == 5 @gen_cluster(client=True) def test_replicate_tuple_keys(c, s, a, b): x = delayed(inc)(1, dask_key_name=('x', 1)) f = c.persist(x) yield c.replicate(f, n=5) s.validate_state() assert a.data and b.data yield c.rebalance(f) s.validate_state() @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 10) def test_replicate_workers(c, s, *workers): [a, b] = yield c.scatter([1, 2], workers=[workers[0].address]) yield s.replicate(keys=[a.key, b.key], n=5, workers=[w.address for w in workers[:5]]) assert len(s.tasks[a.key].who_has) == 5 assert len(s.tasks[b.key].who_has) == 5 assert sum(a.key in w.data for w in workers[:5]) == 5 assert sum(b.key in w.data for w in workers[:5]) == 5 assert sum(a.key in w.data for w in workers[5:]) == 0 assert sum(b.key in w.data for w in workers[5:]) == 0 yield s.replicate(keys=[a.key, b.key], n=1) assert len(s.tasks[a.key].who_has) == 1 assert len(s.tasks[b.key].who_has) == 1 assert sum(a.key in w.data for w in workers) == 1 assert sum(b.key in w.data for w in workers) == 1 s.validate_state() yield s.replicate(keys=[a.key, b.key], n=None) # all assert len(s.tasks[a.key].who_has) == 10 assert len(s.tasks[b.key].who_has) == 10 s.validate_state() yield s.replicate(keys=[a.key, b.key], n=1, workers=[w.address for w in workers[:5]]) assert sum(a.key in w.data for w in workers[:5]) == 1 assert sum(b.key in w.data for w in workers[:5]) == 1 assert sum(a.key in w.data for w in workers[5:]) == 5 assert sum(b.key in w.data for w in workers[5:]) == 5 s.validate_state() class CountSerialization(object): def __init__(self): self.n = 0 def __setstate__(self, n): self.n = n + 1 def __getstate__(self): return self.n @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 10) def test_replicate_tree_branching(c, s, *workers): obj = CountSerialization() [future] = yield c.scatter([obj]) yield s.replicate(keys=[future.key], n=10) max_count = max(w.data[future.key].n for w in workers) assert max_count > 1 @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 10) def test_client_replicate(c, s, *workers): x = c.submit(inc, 1) y = c.submit(inc, 2) yield c.replicate([x, y], n=5) assert len(s.tasks[x.key].who_has) == 5 assert len(s.tasks[y.key].who_has) == 5 yield c.replicate([x, y], n=3) assert len(s.tasks[x.key].who_has) == 3 assert len(s.tasks[y.key].who_has) == 3 yield c.replicate([x, y]) s.validate_state() assert len(s.tasks[x.key].who_has) == 10 assert len(s.tasks[y.key].who_has) == 10 @pytest.mark.skipif(not sys.platform.startswith('linux'), reason="Need 127.0.0.2 to mean localhost") @gen_cluster(client=True, ncores=[('127.0.0.1', 1), ('127.0.0.2', 1), ('127.0.0.2', 1)], timeout=None) def test_client_replicate_host(client, s, a, b, c): aws = s.workers[a.address] bws = s.workers[b.address] cws = s.workers[c.address] x = client.submit(inc, 1, workers='127.0.0.2') yield wait([x]) assert (s.tasks[x.key].who_has == {bws} or s.tasks[x.key].who_has == {cws}) yield client.replicate([x], workers=['127.0.0.2']) assert s.tasks[x.key].who_has == {bws, cws} yield client.replicate([x], workers=['127.0.0.1']) assert s.tasks[x.key].who_has == {aws, bws, cws} def test_client_replicate_sync(c): x = c.submit(inc, 1) y = c.submit(inc, 2) c.replicate([x, y], n=2) who_has = c.who_has() assert len(who_has[x.key]) == len(who_has[y.key]) == 2 with pytest.raises(ValueError): c.replicate([x], n=0) assert y.result() == 3 @pytest.mark.skipif(sys.platform.startswith('win'), reason="Windows timer too coarse-grained") @gen_cluster(client=True, ncores=[('127.0.0.1', 4)] * 1) def test_task_load_adapts_quickly(c, s, a): future = c.submit(slowinc, 1, delay=0.2) # slow yield wait(future) assert 0.15 < s.task_duration['slowinc'] < 0.4 futures = c.map(slowinc, range(10), delay=0) # very fast yield wait(futures) assert 0 < s.task_duration['slowinc'] < 0.1 @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 2) def test_even_load_after_fast_functions(c, s, a, b): x = c.submit(inc, 1, workers=a.address) # very fast y = c.submit(inc, 2, workers=b.address) # very fast yield wait([x, y]) futures = c.map(inc, range(2, 11)) yield wait(futures) assert any(f.key in a.data for f in futures) assert any(f.key in b.data for f in futures) # assert abs(len(a.data) - len(b.data)) <= 3 @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 2) def test_even_load_on_startup(c, s, a, b): x, y = c.map(inc, [1, 2]) yield wait([x, y]) assert len(a.data) == len(b.data) == 1 @pytest.mark.skip @gen_cluster(client=True, ncores=[('127.0.0.1', 2)] * 2) def test_contiguous_load(c, s, a, b): w, x, y, z = c.map(inc, [1, 2, 3, 4]) yield wait([w, x, y, z]) groups = [set(a.data), set(b.data)] assert {w.key, x.key} in groups assert {y.key, z.key} in groups @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 4) def test_balanced_with_submit(c, s, *workers): L = [c.submit(slowinc, i) for i in range(4)] yield wait(L) for w in workers: assert len(w.data) == 1 @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 4) def test_balanced_with_submit_and_resident_data(c, s, *workers): [x] = yield c.scatter([10], broadcast=True) L = [c.submit(slowinc, x, pure=False) for i in range(4)] yield wait(L) for w in workers: assert len(w.data) == 2 @gen_cluster(client=True, ncores=[('127.0.0.1', 20)] * 2) def test_scheduler_saturates_cores(c, s, a, b): for delay in [0, 0.01, 0.1]: futures = c.map(slowinc, range(100), delay=delay) futures = c.map(slowinc, futures, delay=delay / 10) while not s.tasks: if s.tasks: assert all(len(p) >= 20 for w in s.workers.values() for p in w.processing.values()) yield gen.sleep(0.01) @gen_cluster(client=True, ncores=[('127.0.0.1', 20)] * 2) def test_scheduler_saturates_cores_random(c, s, a, b): for delay in [0, 0.01, 0.1]: futures = c.map(randominc, range(100), scale=0.1) while not s.tasks: if s.tasks: assert all(len(p) >= 20 for w in s.workers.values() for p in w.processing.values()) yield gen.sleep(0.01) @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 4) def test_cancel_clears_processing(c, s, *workers): da = pytest.importorskip('dask.array') x = c.submit(slowinc, 1, delay=0.2) while not s.tasks: yield gen.sleep(0.01) yield c.cancel(x) start = time() while any(v for w in s.workers.values() for v in w.processing): assert time() < start + 0.2 yield gen.sleep(0.01) s.validate_state() def test_default_get(): with cluster() as (s, [a, b]): pre_get = dask.base.get_scheduler() pytest.raises(KeyError, dask.config.get, 'shuffle') with Client(s['address'], set_as_default=True) as c: assert dask.base.get_scheduler() == c.get assert dask.config.get('shuffle') == 'tasks' assert dask.base.get_scheduler() == pre_get pytest.raises(KeyError, dask.config.get, 'shuffle') c = Client(s['address'], set_as_default=False) assert dask.base.get_scheduler() == pre_get pytest.raises(KeyError, dask.config.get, 'shuffle') c.close() c = Client(s['address'], set_as_default=True) assert dask.config.get('shuffle') == 'tasks' assert dask.base.get_scheduler() == c.get c.close() assert dask.base.get_scheduler() == pre_get pytest.raises(KeyError, dask.config.get, 'shuffle') with Client(s['address']) as c: assert dask.base.get_scheduler() == c.get with Client(s['address'], set_as_default=False) as c: assert dask.base.get_scheduler() != c.get assert dask.base.get_scheduler() != c.get with Client(s['address'], set_as_default=True) as c1: assert dask.base.get_scheduler() == c1.get with Client(s['address'], set_as_default=True) as c2: assert dask.base.get_scheduler() == c2.get assert dask.base.get_scheduler() == c1.get assert dask.base.get_scheduler() == pre_get @gen_cluster(client=True) def test_get_processing(c, s, a, b): processing = yield c.processing() assert processing == valmap(tuple, s.processing) futures = c.map(slowinc, range(10), delay=0.1, workers=[a.address], allow_other_workers=True) yield gen.sleep(0.2) x = yield c.processing() assert set(x) == {a.address, b.address} x = yield c.processing(workers=[a.address]) assert isinstance(x[a.address], (list, tuple)) @gen_cluster(client=True) def test_get_foo(c, s, a, b): futures = c.map(inc, range(10)) yield wait(futures) x = yield c.scheduler.ncores() assert x == s.ncores x = yield c.scheduler.ncores(workers=[a.address]) assert x == {a.address: s.ncores[a.address]} x = yield c.scheduler.has_what() assert valmap(sorted, x) == valmap(sorted, s.has_what) x = yield c.scheduler.has_what(workers=[a.address]) assert valmap(sorted, x) == {a.address: sorted(s.has_what[a.address])} x = yield c.scheduler.nbytes(summary=False) assert x == s.get_nbytes(summary=False) x = yield c.scheduler.nbytes(keys=[futures[0].key], summary=False) assert x == {futures[0].key: s.tasks[futures[0].key].nbytes} x = yield c.scheduler.who_has() assert valmap(sorted, x) == valmap(sorted, s.who_has) x = yield c.scheduler.who_has(keys=[futures[0].key]) assert valmap(sorted, x) == {futures[0].key: sorted(s.who_has[futures[0].key])} def assert_dict_key_equal(expected, actual): assert set(expected.keys()) == set(actual.keys()) for k in actual.keys(): ev = expected[k] av = actual[k] assert list(ev) == list(av) @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 3) def test_get_foo_lost_keys(c, s, u, v, w): x = c.submit(inc, 1, workers=[u.address]) y = yield c.scatter(3, workers=[v.address]) yield wait([x, y]) ua, va, wa = u.address, v.address, w.address d = yield c.scheduler.has_what() assert_dict_key_equal(d, {ua: [x.key], va: [y.key], wa: []}) d = yield c.scheduler.has_what(workers=[ua, va]) assert_dict_key_equal(d, {ua: [x.key], va: [y.key]}) d = yield c.scheduler.who_has() assert_dict_key_equal(d, {x.key: [ua], y.key: [va]}) d = yield c.scheduler.who_has(keys=[x.key, y.key]) assert_dict_key_equal(d, {x.key: [ua], y.key: [va]}) yield u._close() yield v._close() d = yield c.scheduler.has_what() assert_dict_key_equal(d, {wa: []}) d = yield c.scheduler.has_what(workers=[ua, va]) assert_dict_key_equal(d, {ua: [], va: []}) # The scattered key cannot be recomputed so it is forgotten d = yield c.scheduler.who_has() assert_dict_key_equal(d, {x.key: []}) # ... but when passed explicitly, it is included in the result d = yield c.scheduler.who_has(keys=[x.key, y.key]) assert_dict_key_equal(d, {x.key: [], y.key: []}) @slow @gen_cluster(client=True, Worker=Nanny, check_new_threads=False) def test_bad_tasks_fail(c, s, a, b): f = c.submit(sys.exit, 1) with pytest.raises(KilledWorker): yield f def test_get_processing_sync(c, s, a, b): processing = c.processing() assert not any(v for v in processing.values()) futures = c.map(slowinc, range(10), delay=0.1, workers=[a['address']], allow_other_workers=False) sleep(0.2) aa = a['address'] bb = b['address'] processing = c.processing() assert set(c.processing(aa)) == {aa} assert set(c.processing([aa])) == {aa} c.cancel(futures) def test_close_idempotent(c): c.close() c.close() c.close() @nodebug def test_get_returns_early(c): start = time() with ignoring(RuntimeError): result = c.get({'x': (throws, 1), 'y': (sleep, 1)}, ['x', 'y']) assert time() < start + 0.5 # Futures should be released and forgotten wait_for(lambda: not c.futures, timeout=0.1) wait_for(lambda: not any(c.processing().values()), timeout=3) x = c.submit(inc, 1) x.result() with ignoring(RuntimeError): result = c.get({'x': (throws, 1), x.key: (inc, 1)}, ['x', x.key]) assert x.key in c.futures @slow @gen_cluster(Worker=Nanny, client=True) def test_Client_clears_references_after_restart(c, s, a, b): x = c.submit(inc, 1) assert x.key in c.refcount yield c.restart() assert x.key not in c.refcount key = x.key del x import gc gc.collect() yield gen.moment assert key not in c.refcount def test_get_stops_work_after_error(c): with pytest.raises(RuntimeError): c.get({'x': (throws, 1), 'y': (sleep, 1.5)}, ['x', 'y']) start = time() while any(c.processing().values()): sleep(0.01) assert time() < start + 0.5 def test_as_completed_list(c): seq = c.map(inc, iter(range(5))) seq2 = list(as_completed(seq)) assert set(c.gather(seq2)) == {1, 2, 3, 4, 5} def test_as_completed_results(c): seq = c.map(inc, range(5)) seq2 = list(as_completed(seq, with_results=True)) assert set(pluck(1, seq2)) == {1, 2, 3, 4, 5} assert set(pluck(0, seq2)) == set(seq) @pytest.mark.parametrize('with_results', [True, False]) def test_as_completed_batches(c, with_results): n = 50 futures = c.map(slowinc, range(n), delay=0.01) out = [] for batch in as_completed(futures, with_results=with_results).batches(): assert isinstance(batch, (tuple, list)) sleep(0.05) out.extend(batch) assert len(out) == n if with_results: assert set(pluck(1, out)) == set(range(1, n + 1)) else: assert set(out) == set(futures) def test_as_completed_next_batch(c): futures = c.map(slowinc, range(2), delay=0.1) ac = as_completed(futures) assert ac.next_batch(block=False) == [] assert set(ac.next_batch(block=True)).issubset(futures) @gen_test() def test_status(): s = Scheduler() s.start(0) c = yield Client((s.ip, s.port), asynchronous=True) assert c.status == 'running' x = c.submit(inc, 1) yield c.close() assert c.status == 'closed' yield s.close() @gen_cluster(client=True) def test_persist_optimize_graph(c, s, a, b): i = 10 for method in [c.persist, c.compute]: b = db.range(i, npartitions=2) i += 1 b2 = b.map(inc) b3 = b2.map(inc) b4 = method(b3, optimize_graph=False) yield wait(b4) assert set(map(tokey, b3.__dask_keys__())).issubset(s.tasks) b = db.range(i, npartitions=2) i += 1 b2 = b.map(inc) b3 = b2.map(inc) b4 = method(b3, optimize_graph=True) yield wait(b4) assert not any(tokey(k) in s.tasks for k in b2.__dask_keys__()) @gen_cluster(client=True, ncores=[]) def test_scatter_raises_if_no_workers(c, s): with pytest.raises(gen.TimeoutError): yield c.scatter(1, timeout=0.5) @slow def test_reconnect(loop): w = Worker('127.0.0.1', 9393, loop=loop) w.start() scheduler_cli = ['dask-scheduler', '--host', '127.0.0.1', '--port', '9393', '--no-bokeh'] with popen(scheduler_cli) as s: c = Client('127.0.0.1:9393', loop=loop) start = time() while len(c.ncores()) != 1: sleep(0.1) assert time() < start + 3 x = c.submit(inc, 1) assert x.result() == 2 start = time() while c.status != 'connecting': assert time() < start + 5 sleep(0.01) with pytest.raises(Exception): c.ncores() assert x.status == 'cancelled' with pytest.raises(CancelledError): x.result() with popen(scheduler_cli) as s: start = time() while c.status != 'running': sleep(0.1) assert time() < start + 5 start = time() while len(c.ncores()) != 1: sleep(0.05) assert time() < start + 15 x = c.submit(inc, 1) assert x.result() == 2 start = time() while True: try: x.result() assert False except CommClosedError: continue except CancelledError: break assert time() < start + 5 sleep(0.1) sync(loop, w._close) c.close() @slow @pytest.mark.skipif(sys.platform.startswith('win'), reason="num_fds not supported on windows") @pytest.mark.skipif(sys.version_info[0] == 2, reason="Semaphore.acquire doesn't support timeout option") @pytest.mark.xfail(reason='TODO: intermittent failures') @pytest.mark.parametrize("worker,count,repeat", [ (Worker, 100, 5), (Nanny, 10, 20) ]) def test_open_close_many_workers(loop, worker, count, repeat): psutil = pytest.importorskip('psutil') proc = psutil.Process() with cluster(nworkers=0, active_rpc_timeout=20) as (s, _): gc.collect() before = proc.num_fds() done = Semaphore(0) running = weakref.WeakKeyDictionary() @gen.coroutine def start_worker(sleep, duration, repeat=1): for i in range(repeat): yield gen.sleep(sleep) w = worker(s['address'], loop=loop) running[w] = None yield w._start() addr = w.worker_address running[w] = addr yield gen.sleep(duration) yield w._close() del w yield gen.moment done.release() for i in range(count): loop.add_callback(start_worker, random.random() / 5, random.random() / 5, repeat=repeat) with Client(s['address'], loop=loop) as c: sleep(1) for i in range(count): done.acquire(timeout=5) gc.collect() if not running: break start = time() while c.ncores(): sleep(0.2) assert time() < start + 10 start = time() while proc.num_fds() > before: print("fds:", before, proc.num_fds()) sleep(0.1) assert time() < start + 10 @gen_cluster(client=False, timeout=None) def test_idempotence(s, a, b): c = yield Client((s.ip, s.port), asynchronous=True) f = yield Client((s.ip, s.port), asynchronous=True) # Submit x = c.submit(inc, 1) yield x log = list(s.transition_log) len_single_submit = len(log) # see last assert y = f.submit(inc, 1) assert x.key == y.key yield y yield gen.sleep(0.1) log2 = list(s.transition_log) assert log == log2 # Error a = c.submit(div, 1, 0) yield wait(a) assert a.status == 'error' log = list(s.transition_log) b = f.submit(div, 1, 0) assert a.key == b.key yield wait(b) yield gen.sleep(0.1) log2 = list(s.transition_log) assert log == log2 s.transition_log.clear() # Simultaneous Submit d = c.submit(inc, 2) e = c.submit(inc, 2) yield wait([d, e]) assert len(s.transition_log) == len_single_submit yield c.close() yield f.close() def test_scheduler_info(c): info = c.scheduler_info() assert isinstance(info, dict) assert len(info['workers']) == 2 def test_write_scheduler_file(c): info = c.scheduler_info() with tmpfile('json') as scheduler_file: c.write_scheduler_file(scheduler_file) with Client(scheduler_file=scheduler_file) as c2: info2 = c2.scheduler_info() assert c.scheduler.address == c2.scheduler.address # test that a ValueError is raised if the scheduler_file # attribute is already set with pytest.raises(ValueError): c.write_scheduler_file(scheduler_file) def test_get_versions(c): requests = pytest.importorskip('requests') v = c.get_versions() assert v['scheduler'] is not None assert v['client'] is not None assert len(v['workers']) == 2 for k, v in v['workers'].items(): assert v is not None c.get_versions(check=True) # smoke test for versions # that this does not raise v = c.get_versions(packages=['requests']) assert dict(v['client']['packages']['optional'])['requests'] == requests.__version__ def test_threaded_get_within_distributed(c): import dask.multiprocessing for get in [dask.local.get_sync, dask.multiprocessing.get, dask.threaded.get]: def f(): return get({'x': (lambda: 1,)}, 'x') future = c.submit(f) assert future.result() == 1 @gen_cluster(client=True) def test_lose_scattered_data(c, s, a, b): [x] = yield c.scatter([1], workers=a.address) yield a._close() yield gen.sleep(0.1) assert x.status == 'cancelled' assert x.key not in s.tasks @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 3) def test_partially_lose_scattered_data(e, s, a, b, c): [x] = yield e.scatter([1], workers=a.address) yield e.replicate(x, n=2) yield a._close() yield gen.sleep(0.1) assert x.status == 'finished' assert s.get_task_status(keys=[x.key]) == {x.key: 'memory'} @gen_cluster(client=True) def test_scatter_compute_lose(c, s, a, b): [x] = yield c.scatter([[1, 2, 3, 4]], workers=a.address) y = c.submit(inc, 1, workers=b.address) z = c.submit(slowadd, x, y, delay=0.2) yield gen.sleep(0.1) yield a._close() with pytest.raises(CancelledError): yield wait(z) assert x.status == 'cancelled' assert y.status == 'finished' assert z.status == 'cancelled' @gen_cluster(client=True) def test_scatter_compute_store_lose(c, s, a, b): """ Create irreplaceable data on one machine, cause a dependent computation to occur on another and complete Kill the machine with the irreplaceable data. What happens to the complete result? How about after it GCs and tries to come back? """ x = yield c.scatter(1, workers=a.address) xx = c.submit(inc, x, workers=a.address) y = c.submit(inc, 1) z = c.submit(slowadd, xx, y, delay=0.2, workers=b.address) yield wait(z) yield a._close() start = time() while x.status == 'finished': yield gen.sleep(0.01) assert time() < start + 2 # assert xx.status == 'finished' assert y.status == 'finished' assert z.status == 'finished' zz = c.submit(inc, z) yield wait(zz) zkey = z.key del z start = time() while s.get_task_status(keys=[zkey]) != {zkey: 'released'}: yield gen.sleep(0.01) assert time() < start + 2 xxkey = xx.key del xx start = time() while (x.key in s.tasks and zkey not in s.tasks and xxkey not in s.tasks): yield gen.sleep(0.01) assert time() < start + 2 @gen_cluster(client=True) def test_scatter_compute_store_lose_processing(c, s, a, b): """ Create irreplaceable data on one machine, cause a dependent computation to occur on another and complete Kill the machine with the irreplaceable data. What happens to the complete result? How about after it GCs and tries to come back? """ [x] = yield c.scatter([1], workers=a.address) y = c.submit(slowinc, x, delay=0.2) z = c.submit(inc, y) yield gen.sleep(0.1) yield a._close() start = time() while x.status == 'finished': yield gen.sleep(0.01) assert time() < start + 2 assert y.status == 'cancelled' assert z.status == 'cancelled' @gen_cluster(client=False) def test_serialize_future(s, a, b): c = yield Client((s.ip, s.port), asynchronous=True) f = yield Client((s.ip, s.port), asynchronous=True) future = c.submit(lambda: 1) result = yield future with temp_default_client(f): future2 = pickle.loads(pickle.dumps(future)) assert future2.client is f assert tokey(future2.key) in f.futures result2 = yield future2 assert result == result2 yield c.close() yield f.close() @gen_cluster(client=False) def test_temp_client(s, a, b): c = yield Client((s.ip, s.port), asynchronous=True) f = yield Client((s.ip, s.port), asynchronous=True) with temp_default_client(c): assert default_client() is c assert default_client(f) is f with temp_default_client(f): assert default_client() is f assert default_client(c) is c yield c.close() yield f.close() @nodebug # test timing is fragile @gen_cluster(ncores=[('127.0.0.1', 1)] * 3, client=True) def test_persist_workers(e, s, a, b, c): L1 = [delayed(inc)(i) for i in range(4)] total = delayed(sum)(L1) L2 = [delayed(add)(i, total) for i in L1] total2 = delayed(sum)(L2) out = e.persist(L1 + L2 + [total, total2], workers={tuple(L1): a.address, total: b.address, tuple(L2): [c.address], total2: b.address}, allow_other_workers=L2 + [total2]) yield wait(out) assert all(v.key in a.data for v in L1) assert total.key in b.data assert s.loose_restrictions == {total2.key} | {v.key for v in L2} @gen_cluster(ncores=[('127.0.0.1', 1)] * 3, client=True) def test_compute_workers(e, s, a, b, c): L1 = [delayed(inc)(i) for i in range(4)] total = delayed(sum)(L1) L2 = [delayed(add)(i, total) for i in L1] out = e.compute(L1 + L2 + [total], workers={tuple(L1): a.address, total: b.address, tuple(L2): [c.address]}, allow_other_workers=L1 + [total]) yield wait(out) for v in L1: assert s.worker_restrictions[v.key] == {a.address} for v in L2: assert s.worker_restrictions[v.key] == {c.address} assert s.worker_restrictions[total.key] == {b.address} assert s.loose_restrictions == {total.key} | {v.key for v in L1} @gen_cluster(client=True) def test_compute_nested_containers(c, s, a, b): da = pytest.importorskip('dask.array') np = pytest.importorskip('numpy') x = da.ones(10, chunks=(5,)) + 1 future = c.compute({'x': [x], 'y': 123}) result = yield future assert isinstance(result, dict) assert (result['x'][0] == np.ones(10) + 1).all() assert result['y'] == 123 def test_get_restrictions(): L1 = [delayed(inc)(i) for i in range(4)] total = delayed(sum)(L1) L2 = [delayed(add)(i, total) for i in L1] r1, loose = Client.get_restrictions(L2, '127.0.0.1', False) assert r1 == {d.key: ['127.0.0.1'] for d in L2} assert not loose r1, loose = Client.get_restrictions(L2, ['127.0.0.1'], True) assert r1 == {d.key: ['127.0.0.1'] for d in L2} assert set(loose) == {d.key for d in L2} r1, loose = Client.get_restrictions(L2, {total: '127.0.0.1'}, True) assert r1 == {total.key: ['127.0.0.1']} assert loose == [total.key] r1, loose = Client.get_restrictions(L2, {(total,): '127.0.0.1'}, True) assert r1 == {total.key: ['127.0.0.1']} assert loose == [total.key] @gen_cluster(client=True) def test_scatter_type(c, s, a, b): [future] = yield c.scatter([1]) assert future.type == int d = yield c.scatter({'x': 1.0}) assert d['x'].type == float @gen_cluster(client=True) def test_retire_workers_2(c, s, a, b): [x] = yield c.scatter([1], workers=a.address) yield s.retire_workers(workers=[a.address]) assert b.data == {x.key: 1} assert s.who_has == {x.key: {b.address}} assert s.has_what == {b.address: {x.key}} assert a.address not in s.workers @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 10) def test_retire_many_workers(c, s, *workers): futures = yield c.scatter(list(range(100))) yield s.retire_workers(workers=[w.address for w in workers[:7]]) results = yield c.gather(futures) assert results == list(range(100)) assert len(s.has_what) == len(s.ncores) == 3 assert all(future.done() for future in futures) assert all(s.tasks[future.key].state == 'memory' for future in futures) for w, keys in s.has_what.items(): assert 15 < len(keys) < 50 @gen_cluster(client=True, ncores=[('127.0.0.1', 3)] * 2) def test_weight_occupancy_against_data_movement(c, s, a, b): s.extensions['stealing']._pc.callback_time = 1000000 s.task_duration['f'] = 0.01 def f(x, y=0, z=0): sleep(0.01) return x y = yield c.scatter([[1, 2, 3, 4]], workers=[a.address]) z = yield c.scatter([1], workers=[b.address]) futures = c.map(f, [1, 2, 3, 4], y=y, z=z) yield wait(futures) assert sum(f.key in a.data for f in futures) >= 2 assert sum(f.key in b.data for f in futures) >= 1 @gen_cluster(client=True, ncores=[('127.0.0.1', 1), ('127.0.0.1', 10)]) def test_distribute_tasks_by_ncores(c, s, a, b): s.task_duration['f'] = 0.01 s.extensions['stealing']._pc.callback_time = 1000000 def f(x, y=0): sleep(0.01) return x y = yield c.scatter([1], broadcast=True) futures = c.map(f, range(20), y=y) yield wait(futures) assert len(b.data) > 2 * len(a.data) @gen_cluster(client=True, check_new_threads=False) def test_add_done_callback(c, s, a, b): S = set() def f(future): future.add_done_callback(g) def g(future): S.add((future.key, future.status)) u = c.submit(inc, 1, key='u') v = c.submit(throws, "hello", key='v') w = c.submit(slowinc, 2, delay=0.3, key='w') x = c.submit(inc, 3, key='x') u.add_done_callback(f) v.add_done_callback(f) w.add_done_callback(f) yield wait((u, v, w, x)) x.add_done_callback(f) t = time() while len(S) < 4 and time() - t < 2.0: yield gen.sleep(0.01) assert S == {(f.key, f.status) for f in (u, v, w, x)} @gen_cluster(client=True) def test_normalize_collection(c, s, a, b): x = delayed(inc)(1) y = delayed(inc)(x) z = delayed(inc)(y) yy = c.persist(y) zz = c.normalize_collection(z) assert len(z.dask) == len(y.dask) + 1 assert isinstance(zz.dask[y.key], Future) assert len(zz.dask) < len(z.dask) @gen_cluster(client=True) def test_normalize_collection_dask_array(c, s, a, b): da = pytest.importorskip('dask.array') x = da.ones(10, chunks=(5,)) y = x + 1 yy = c.persist(y) z = y.sum() zdsk = dict(z.dask) zz = c.normalize_collection(z) assert z.dask == zdsk # do not mutate input assert len(z.dask) > len(zz.dask) assert any(isinstance(v, Future) for v in zz.dask.values()) for k, v in yy.dask.items(): assert zz.dask[k].key == v.key result1 = yield c.compute(z) result2 = yield c.compute(zz) assert result1 == result2 @slow def test_normalize_collection_with_released_futures(c): da = pytest.importorskip('dask.array') x = da.arange(2**20, chunks=2**10) y = x.persist() wait(y) sol = y.sum().compute() # Start releasing futures del y # Try to reuse futures. Previously this was a race condition, # and the call to `.compute()` would error out due to missing # futures on the scheduler at compute time. normalized = c.normalize_collection(x) res = normalized.sum().compute() assert res == sol @gen_cluster(client=True) def test_auto_normalize_collection(c, s, a, b): da = pytest.importorskip('dask.array') x = da.ones(10, chunks=5) assert len(x.dask) == 2 with dask.config.set(optimizations=[c._optimize_insert_futures]): y = x.map_blocks(slowinc, delay=1, dtype=x.dtype) yy = c.persist(y) yield wait(yy) start = time() future = c.compute(y.sum()) yield future end = time() assert end - start < 1 start = time() z = c.persist(y + 1) yield wait(z) end = time() assert end - start < 1 def test_auto_normalize_collection_sync(c): da = pytest.importorskip('dask.array') x = da.ones(10, chunks=5) y = x.map_blocks(slowinc, delay=1, dtype=x.dtype) yy = c.persist(y) wait(yy) with dask.config.set(optimizations=[c._optimize_insert_futures]): start = time() y.sum().compute() end = time() assert end - start < 1 def assert_no_data_loss(scheduler): for key, start, finish, recommendations, _ in scheduler.transition_log: if start == 'memory' and finish == 'released': for k, v in recommendations.items(): assert not (k == key and v == 'waiting') @gen_cluster(client=True, timeout=None) def test_interleave_computations(c, s, a, b): import distributed distributed.g = s xs = [delayed(slowinc)(i, delay=0.02) for i in range(30)] ys = [delayed(slowdec)(x, delay=0.02) for x in xs] zs = [delayed(slowadd)(x, y, delay=0.02) for x, y in zip(xs, ys)] total = delayed(sum)(zs) future = c.compute(total) done = ('memory', 'released') yield gen.sleep(0.1) x_keys = [x.key for x in xs] y_keys = [y.key for y in ys] z_keys = [z.key for z in zs] while not s.tasks or any(w.processing for w in s.workers.values()): yield gen.sleep(0.05) x_done = sum(state in done for state in s.get_task_status(keys=x_keys).values()) y_done = sum(state in done for state in s.get_task_status(keys=y_keys).values()) z_done = sum(state in done for state in s.get_task_status(keys=z_keys).values()) assert x_done >= y_done >= z_done assert x_done < y_done + 10 assert y_done < z_done + 10 assert_no_data_loss(s) @pytest.mark.skip(reason="Now prefer first-in-first-out") @gen_cluster(client=True, timeout=None) def test_interleave_computations_map(c, s, a, b): xs = c.map(slowinc, range(30), delay=0.02) ys = c.map(slowdec, xs, delay=0.02) zs = c.map(slowadd, xs, ys, delay=0.02) done = ('memory', 'released') x_keys = [x.key for x in xs] y_keys = [y.key for y in ys] z_keys = [z.key for z in zs] while not s.tasks or any(w.processing for w in s.workers.values()): yield gen.sleep(0.05) x_done = sum(state in done for state in s.get_task_status(keys=x_keys).values()) y_done = sum(state in done for state in s.get_task_status(keys=y_keys).values()) z_done = sum(state in done for state in s.get_task_status(keys=z_keys).values()) assert x_done >= y_done >= z_done assert x_done < y_done + 10 assert y_done < z_done + 10 @gen_cluster(client=True) def test_scatter_dict_workers(c, s, a, b): yield c.scatter({'a': 10}, workers=[a.address, b.address]) assert 'a' in a.data or 'a' in b.data @slow @gen_test() def test_client_timeout(): loop = IOLoop.current() c = Client('127.0.0.1:57484', asynchronous=True) s = Scheduler(loop=loop) yield gen.sleep(4) try: s.start(('127.0.0.1', 57484)) except EnvironmentError: # port in use return start = time() while not c.scheduler_comm: yield gen.sleep(0.1) assert time() < start + 2 yield c.close() yield s.close() @gen_cluster(client=True) def test_submit_list_kwargs(c, s, a, b): futures = yield c.scatter([1, 2, 3]) def f(L=None): return sum(L) future = c.submit(f, L=futures) result = yield future assert result == 1 + 2 + 3 @gen_cluster(client=True) def test_map_list_kwargs(c, s, a, b): futures = yield c.scatter([1, 2, 3]) def f(i, L=None): return i + sum(L) futures = c.map(f, range(10), L=futures) results = yield c.gather(futures) assert results == [i + 6 for i in range(10)] @gen_cluster(client=True) def test_dont_clear_waiting_data(c, s, a, b): start = time() x = yield c.scatter(1) y = c.submit(slowinc, x, delay=0.5) while y.key not in s.tasks: yield gen.sleep(0.01) key = x.key del x for i in range(5): assert s.waiting_data[key] yield gen.moment @gen_cluster(client=True) def test_get_future_error_simple(c, s, a, b): f = c.submit(div, 1, 0) yield wait(f) assert f.status == 'error' function, args, kwargs, deps = yield c._get_futures_error(f) # args contains only solid values, not keys assert function.__name__ == 'div' with pytest.raises(ZeroDivisionError): function(*args, **kwargs) @gen_cluster(client=True) def test_get_futures_error(c, s, a, b): x0 = delayed(dec)(2, dask_key_name='x0') y0 = delayed(dec)(1, dask_key_name='y0') x = delayed(div)(1, x0, dask_key_name='x') y = delayed(div)(1, y0, dask_key_name='y') tot = delayed(sum)(x, y, dask_key_name='tot') f = c.compute(tot) yield wait(f) assert f.status == 'error' function, args, kwargs, deps = yield c._get_futures_error(f) assert function.__name__ == 'div' assert args == (1, y0.key) @gen_cluster(client=True) def test_recreate_error_delayed(c, s, a, b): x0 = delayed(dec)(2) y0 = delayed(dec)(1) x = delayed(div)(1, x0) y = delayed(div)(1, y0) tot = delayed(sum)(x, y) f = c.compute(tot) assert f.status == 'pending' function, args, kwargs = yield c._recreate_error_locally(f) assert f.status == 'error' assert function.__name__ == 'div' assert args == (1, 0) with pytest.raises(ZeroDivisionError): function(*args, **kwargs) @gen_cluster(client=True) def test_recreate_error_futures(c, s, a, b): x0 = c.submit(dec, 2) y0 = c.submit(dec, 1) x = c.submit(div, 1, x0) y = c.submit(div, 1, y0) tot = c.submit(sum, x, y) f = c.compute(tot) assert f.status == 'pending' function, args, kwargs = yield c._recreate_error_locally(f) assert f.status == 'error' assert function.__name__ == 'div' assert args == (1, 0) with pytest.raises(ZeroDivisionError): function(*args, **kwargs) @gen_cluster(client=True) def test_recreate_error_collection(c, s, a, b): b = db.range(10, npartitions=4) b = b.map(lambda x: 1 / x) b = b.persist() f = c.compute(b) function, args, kwargs = yield c._recreate_error_locally(f) with pytest.raises(ZeroDivisionError): function(*args, **kwargs) dd = pytest.importorskip('dask.dataframe') import pandas as pd df = dd.from_pandas(pd.DataFrame({'a': [0, 1, 2, 3, 4]}), chunksize=2) def make_err(x): # because pandas would happily work with NaN if x == 0: raise ValueError return x df2 = df.a.map(make_err) f = c.compute(df2) function, args, kwargs = yield c._recreate_error_locally(f) with pytest.raises(ValueError): function(*args, **kwargs) # with persist df3 = c.persist(df2) function, args, kwargs = yield c._recreate_error_locally(df3) with pytest.raises(ValueError): function(*args, **kwargs) @gen_cluster(client=True) def test_recreate_error_array(c, s, a, b): da = pytest.importorskip('dask.array') pytest.importorskip('scipy') z = (da.linalg.inv(da.zeros((10, 10), chunks=10)) + 1).sum() zz = z.persist() func, args, kwargs = yield c._recreate_error_locally(zz) assert '0.,0.,0.' in str(args).replace(' ', '') # args contain actual arrays def test_recreate_error_sync(c): x0 = c.submit(dec, 2) y0 = c.submit(dec, 1) x = c.submit(div, 1, x0) y = c.submit(div, 1, y0) tot = c.submit(sum, x, y) f = c.compute(tot) with pytest.raises(ZeroDivisionError) as e: c.recreate_error_locally(f) assert f.status == 'error' def test_recreate_error_not_error(c): f = c.submit(dec, 2) with pytest.raises(ValueError) as e: c.recreate_error_locally(f) assert "No errored futures passed" in str(e) @gen_cluster(client=True) def test_retire_workers(c, s, a, b): assert set(s.workers) == {a.address, b.address} yield c.retire_workers(workers=[a.address], close_workers=True) assert set(s.workers) == {b.address} start = time() while a.status != 'closed': yield gen.sleep(0.01) assert time() < start + 5 class MyException(Exception): pass @gen_cluster(client=True) def test_robust_unserializable(c, s, a, b): class Foo(object): def __getstate__(self): raise MyException() with pytest.raises(MyException): future = c.submit(identity, Foo()) futures = c.map(inc, range(10)) results = yield c.gather(futures) assert results == list(map(inc, range(10))) assert a.data and b.data @gen_cluster(client=True) def test_robust_undeserializable(c, s, a, b): class Foo(object): def __getstate__(self): return 1 def __setstate__(self, state): raise MyException('hello') future = c.submit(identity, Foo()) with pytest.raises(MyException): yield future futures = c.map(inc, range(10)) results = yield c.gather(futures) assert results == list(map(inc, range(10))) assert a.data and b.data @gen_cluster(client=True) def test_robust_undeserializable_function(c, s, a, b): class Foo(object): def __getstate__(self): return 1 def __setstate__(self, state): raise MyException('hello') def __call__(self, *args): return 1 future = c.submit(Foo(), 1) with pytest.raises(MyException) as e: yield future futures = c.map(inc, range(10)) results = yield c.gather(futures) assert results == list(map(inc, range(10))) assert a.data and b.data @gen_cluster(client=True) def test_fire_and_forget(c, s, a, b): future = c.submit(slowinc, 1, delay=0.1) import distributed def f(x): distributed.foo = 123 try: fire_and_forget(c.submit(f, future)) start = time() while not hasattr(distributed, 'foo'): yield gen.sleep(0.01) assert time() < start + 2 assert distributed.foo == 123 finally: del distributed.foo start = time() while len(s.tasks) > 1: yield gen.sleep(0.01) assert time() < start + 2 assert set(s.who_wants) == {future.key} assert set(s.tasks) == {future.key} @gen_cluster(client=True) def test_fire_and_forget_err(c, s, a, b): fire_and_forget(c.submit(div, 1, 0)) yield gen.sleep(0.1) # erred task should clear out quickly start = time() while s.tasks: yield gen.sleep(0.01) assert time() < start + 1 def test_quiet_client_close(loop): with captured_logger(logging.getLogger('distributed')) as logger: with Client(loop=loop, processes=False, threads_per_worker=4) as c: futures = c.map(slowinc, range(1000), delay=0.01) sleep(0.200) # stop part-way sleep(.1) # let things settle out = logger.getvalue() lines = out.strip().split('\n') assert len(lines) <= 2 for line in lines: assert ( not line or 'Reconnecting' in line or 'garbage' in line or set(line) == {'-'} ), line def test_quiet_client_close_when_cluster_is_closed_before_client(loop): n_attempts = 5 # Trying a few times to reduce the flakiness of the test. Without the bug # fix in #2477 and with 5 attempts, this test passes by chance in about 10% # of the cases. for _ in range(n_attempts): with captured_logger(logging.getLogger('tornado.application')) as logger: cluster = LocalCluster(loop=loop) client = Client(cluster, loop=loop) cluster.close() client.close() out = logger.getvalue() assert 'CancelledError' not in out @gen_cluster() def test_close(s, a, b): c = yield Client(s.address, asynchronous=True) future = c.submit(inc, 1) yield wait(future) assert c.id in s.wants_what yield c.close() start = time() while c.id in s.wants_what or s.tasks: yield gen.sleep(0.01) assert time() < start + 5 def test_threadsafe(c): def f(_): d = deque(maxlen=50) for i in range(100): future = c.submit(inc, random.randint(0, 100)) d.append(future) sleep(0.001) c.gather(list(d)) total = c.submit(sum, list(d)) return total.result() from concurrent.futures import ThreadPoolExecutor with ThreadPoolExecutor(20) as e: results = list(e.map(f, range(20))) assert results and all(results) del results @slow def test_threadsafe_get(c): da = pytest.importorskip('dask.array') x = da.arange(100, chunks=(10,)) def f(_): total = 0 for i in range(20): total += (x + random.randint(0, 20)).sum().compute() sleep(0.001) return total from concurrent.futures import ThreadPoolExecutor e = ThreadPoolExecutor(30) results = list(e.map(f, range(30))) assert results and all(results) @slow def test_threadsafe_compute(c): da = pytest.importorskip('dask.array') x = da.arange(100, chunks=(10,)) def f(_): total = 0 for i in range(20): future = c.compute((x + random.randint(0, 20)).sum()) total += future.result() sleep(0.001) return total from concurrent.futures import ThreadPoolExecutor e = ThreadPoolExecutor(30) results = list(e.map(f, range(30))) assert results and all(results) @gen_cluster(client=True) def test_identity(c, s, a, b): assert c.id.lower().startswith('client') assert a.id.lower().startswith('worker') assert b.id.lower().startswith('worker') assert s.id.lower().startswith('scheduler') @gen_cluster(client=True, ncores=[('127.0.0.1', 4)] * 2) def test_get_client(c, s, a, b): assert get_client() is c assert c.asynchronous def f(x): client = get_client() future = client.submit(inc, x) import distributed assert not client.asynchronous assert client is distributed.tmp_client return future.result() import distributed distributed.tmp_client = c try: futures = c.map(f, range(5)) results = yield c.gather(futures) assert results == list(map(inc, range(5))) finally: del distributed.tmp_client def test_get_client_no_cluster(): # Clean up any global workers added by other tests. This test requires that # there are no global workers. from distributed.worker import _global_workers del _global_workers[:] msg = 'No global client found and no address provided' with pytest.raises(ValueError, match=r'^{}$'.format(msg)): get_client() @gen_cluster(client=True) def test_serialize_collections(c, s, a, b): da = pytest.importorskip('dask.array') x = da.arange(10, chunks=(5,)).persist() def f(x): assert isinstance(x, da.Array) return x.sum().compute() future = c.submit(f, x) result = yield future assert result == sum(range(10)) @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 1, timeout=100) def test_secede_simple(c, s, a): def f(): client = get_client() secede() return client.submit(inc, 1).result() result = yield c.submit(f) assert result == 2 @slow @gen_cluster(client=True, ncores=[('127.0.0.1', 1)] * 2, timeout=60) def test_secede_balances(c, s, a, b): count = threading.active_count() def f(x): client = get_client() sleep(0.01) # do some work secede() futures = client.map(slowinc, range(10), pure=False, delay=0.01) total = client.submit(sum, futures).result() return total futures = c.map(f, range(100)) start = time() while not all(f.status == 'finished' for f in futures): yield gen.sleep(0.01) assert threading.active_count() < count + 50 # assert 0.005 < s.task_duration['f'] < 0.1 assert len(a.log) < 2 * len(b.log) assert len(b.log) < 2 * len(a.log) results = yield c.gather(futures) assert results == [sum(map(inc, range(10)))] * 100 @gen_cluster(client=True) def test_sub_submit_priority(c, s, a, b): def f(): client = get_client() client.submit(slowinc, 1, delay=0.2, key='slowinc') future = c.submit(f, key='f') yield gen.sleep(0.1) if len(s.tasks) == 2: assert s.priorities['f'] > s.priorities['slowinc'] # lower values schedule first def test_get_client_sync(c, s, a, b): results = c.run(lambda: get_worker().scheduler.address) assert results == {w['address']: s['address'] for w in [a, b]} results = c.run(lambda: get_client().scheduler.address) assert results == {w['address']: s['address'] for w in [a, b]} @gen_cluster(client=True) def test_serialize_collections_of_futures(c, s, a, b): pd = pytest.importorskip('pandas') dd = pytest.importorskip('dask.dataframe') from dask.dataframe.utils import assert_eq df = pd.DataFrame({'x': [1, 2, 3]}) ddf = dd.from_pandas(df, npartitions=2).persist() future = yield c.scatter(ddf) ddf2 = yield future df2 = yield c.compute(ddf2) assert_eq(df, df2) def test_serialize_collections_of_futures_sync(c): pd = pytest.importorskip('pandas') dd = pytest.importorskip('dask.dataframe') from dask.dataframe.utils import assert_eq df = pd.DataFrame({'x': [1, 2, 3]}) ddf = dd.from_pandas(df, npartitions=2).persist() future = c.scatter(ddf) result = future.result() assert_eq(result.compute(), df) assert future.type == dd.DataFrame assert c.submit(lambda x, y: assert_eq(x.compute(), y), future, df).result() def _dynamic_workload(x, delay=0.01): if delay == 'random': sleep(random.random() / 2) else: sleep(delay) if x > 4: return 4 secede() client = get_client() futures = client.map(_dynamic_workload, [x + i + 1 for i in range(2)], pure=False, delay=delay) total = client.submit(sum, futures) return total.result() def _test_dynamic_workloads_sync(c, delay): future = c.submit(_dynamic_workload, 0, delay=delay) assert future.result(timeout=40) == 52 def test_dynamic_workloads_sync(c): _test_dynamic_workloads_sync(c, delay=0.02) @slow def test_dynamic_workloads_sync_random(c): _test_dynamic_workloads_sync(c, delay='random') @gen_cluster(client=True) def test_bytes_keys(c, s, a, b): key = b'inc-123' future = c.submit(inc, 1, key=key) result = yield future assert type(future.key) is bytes assert set(s.tasks) == {key} assert key in a.data or key in b.data assert result == 2 @gen_cluster(client=True) def test_unicode_ascii_keys(c, s, a, b): # cross-version unicode type (py2: unicode, py3: str) uni_type = type(u"") key = u'inc-123' future = c.submit(inc, 1, key=key) result = yield future assert type(future.key) is uni_type assert set(s.tasks) == {key} assert key in a.data or key in b.data assert result == 2 @gen_cluster(client=True) def test_unicode_keys(c, s, a, b): # cross-version unicode type (py2: unicode, py3: str) uni_type = type(u"") key = u'inc-123\u03bc' future = c.submit(inc, 1, key=key) result = yield future assert type(future.key) is uni_type assert set(s.tasks) == {key} assert key in a.data or key in b.data assert result == 2 future2 = c.submit(inc, future) result2 = yield future2 assert result2 == 3 future3 = yield c.scatter({u'data-123': 123}) result3 = yield future3[u'data-123'] assert result3 == 123 def test_use_synchronous_client_in_async_context(loop, c): @gen.coroutine def f(): x = yield c.scatter(123) y = c.submit(inc, x) z = yield c.gather(y) raise gen.Return(z) z = sync(loop, f) assert z == 124 def test_quiet_quit_when_cluster_leaves(loop_in_thread): loop = loop_in_thread with LocalCluster(loop=loop, scheduler_port=0, diagnostics_port=None, silence_logs=False) as cluster: with captured_logger('distributed.comm') as sio: with Client(cluster, loop=loop) as client: futures = client.map(lambda x: x + 1, range(10)) sleep(0.05) cluster.close() sleep(0.05) text = sio.getvalue() assert not text def test_warn_executor(loop, s, a, b): with warnings.catch_warnings(record=True) as record: with Executor(s['address'], loop=loop) as c: pass assert any('Client' in str(r.message) for r in record) @gen_cluster([('127.0.0.1', 4)] * 2, client=True) def test_call_stack_future(c, s, a, b): x = c.submit(slowdec, 1, delay=0.5) future = c.submit(slowinc, 1, delay=0.5) yield gen.sleep(0.1) results = yield [c.call_stack(future), c.call_stack(keys=[future.key])] assert all(list(first(result.values())) == [future.key] for result in results) assert results[0] == results[1] result = results[0] w = a if future.key in a.executing else b assert list(result) == [w.address] assert list(result[w.address]) == [future.key] assert 'slowinc' in str(result) assert 'slowdec' not in str(result) @gen_cluster([('127.0.0.1', 4)] * 2, client=True) def test_call_stack_all(c, s, a, b): future = c.submit(slowinc, 1, delay=0.5) yield gen.sleep(0.1) result = yield c.call_stack() w = a if a.executing else b assert list(result) == [w.address] assert list(result[w.address]) == [future.key] assert 'slowinc' in str(result) @gen_cluster([('127.0.0.1', 4)] * 2, client=True) def test_call_stack_collections(c, s, a, b): da = pytest.importorskip('dask.array') x = da.random.random(100, chunks=(10,)).map_blocks(slowinc, delay=0.5).persist() while not a.executing and not b.executing: yield gen.sleep(0.001) result = yield c.call_stack(x) assert result @gen_cluster([('127.0.0.1', 4)] * 2, client=True) def test_call_stack_collections_all(c, s, a, b): da = pytest.importorskip('dask.array') x = da.random.random(100, chunks=(10,)).map_blocks(slowinc, delay=0.5).persist() while not a.executing and not b.executing: yield gen.sleep(0.001) result = yield c.call_stack() assert result @gen_cluster(client=True, worker_kwargs={'profile_cycle_interval': 100}) def test_profile(c, s, a, b): futures = c.map(slowinc, range(10), delay=0.05, workers=a.address) yield wait(futures) x = yield c.profile(start=time() + 10, stop=time() + 20) assert not x['count'] x = yield c.profile(start=0, stop=time()) assert x['count'] == sum(p['count'] for _, p in a.profile_history) + a.profile_recent['count'] y = yield c.profile(start=time() - 0.300, stop=time()) assert 0 < y['count'] < x['count'] assert not any(p['count'] for _, p in b.profile_history) result = yield c.profile(workers=b.address) assert not result['count'] @gen_cluster(client=True, worker_kwargs={'profile_cycle_interval': 100}) def test_profile_keys(c, s, a, b): x = c.map(slowinc, range(10), delay=0.05, workers=a.address) y = c.map(slowdec, range(10), delay=0.05, workers=a.address) yield wait(x + y) xp = yield c.profile('slowinc') yp = yield c.profile('slowdec') p = yield c.profile() assert p['count'] == xp['count'] + yp['count'] with captured_logger(logging.getLogger('distributed')) as logger: prof = yield c.profile('does-not-exist') assert prof == profile.create() out = logger.getvalue() assert not out @gen_cluster() def test_client_with_name(s, a, b): with captured_logger('distributed.scheduler') as sio: client = yield Client(s.address, asynchronous=True, name='foo', silence_logs=False) assert 'foo' in client.id yield client.close() text = sio.getvalue() assert 'foo' in text @gen_cluster(client=True) def test_future_defaults_to_default_client(c, s, a, b): x = c.submit(inc, 1) yield wait(x) future = Future(x.key) assert future.client is c @gen_cluster(client=True) def test_future_auto_inform(c, s, a, b): x = c.submit(inc, 1) yield wait(x) client = yield Client(s.address, asynchronous=True) future = Future(x.key, client) start = time() while future.status != 'finished': yield gen.sleep(0.01) assert time() < start + 1 yield client.close() def test_client_async_before_loop_starts(): with pristine_loop() as loop: client = Client(asynchronous=True, loop=loop) assert client.asynchronous client.close() @slow @gen_cluster(client=True, Worker=Nanny if PY3 else Worker, timeout=60, ncores=[('127.0.0.1', 3)] * 2) def test_nested_compute(c, s, a, b): def fib(x): assert get_worker().get_current_task() if x < 2: return x a = delayed(fib)(x - 1) b = delayed(fib)(x - 2) c = a + b return c.compute() future = c.submit(fib, 8) result = yield future assert result == 21 assert len(s.transition_log) > 50 @gen_cluster(client=True) def test_task_metadata(c, s, a, b): yield c.set_metadata('x', 1) result = yield c.get_metadata('x') assert result == 1 future = c.submit(inc, 1) key = future.key yield wait(future) yield c.set_metadata(key, 123) result = yield c.get_metadata(key) assert result == 123 del future while key in s.tasks: yield gen.sleep(0.01) with pytest.raises(KeyError): yield c.get_metadata(key) result = yield c.get_metadata(key, None) assert result is None yield c.set_metadata(['x', 'a'], 1) result = yield c.get_metadata('x') assert result == {'a': 1} yield c.set_metadata(['x', 'b'], 2) result = yield c.get_metadata('x') assert result == {'a': 1, 'b': 2} result = yield c.get_metadata(['x', 'a']) assert result == 1 yield c.set_metadata(['x', 'a', 'c', 'd'], 1) result = yield c.get_metadata('x') assert result == {'a': {'c': {'d': 1}}, 'b': 2} @gen_cluster(client=True) def test_logs(c, s, a, b): yield wait(c.map(inc, range(5))) logs = yield c.get_scheduler_logs(n=5) assert logs for _, msg in logs: assert 'distributed.scheduler' in msg w_logs = yield c.get_worker_logs(n=5) assert set(w_logs.keys()) == {a.address, b.address} for log in w_logs.values(): for _, msg in log: assert 'distributed.worker' in msg @gen_cluster(client=True) def test_avoid_delayed_finalize(c, s, a, b): x = delayed(inc)(1) future = c.compute(x) result = yield future assert result == 2 assert list(s.tasks) == [future.key] == [x.key] @gen_cluster() def test_config_scheduler_address(s, a, b): with dask.config.set({'scheduler-address': s.address}): with captured_logger('distributed.client') as sio: c = yield Client(asynchronous=True) assert c.scheduler.address == s.address text = sio.getvalue() assert s.address in text yield c.close() @gen_cluster(client=True) def test_warn_when_submitting_large_values(c, s, a, b): with warnings.catch_warnings(record=True) as record: future = c.submit(lambda x: x + 1, b'0' * 2000000) text = str(record[0].message) assert '2.00 MB' in text assert 'large' in text assert '...' in text assert "'000" in text assert "000'" in text assert len(text) < 2000 with warnings.catch_warnings(record=True) as record: data = b'0' * 2000000 for i in range(10): future = c.submit(lambda x, y: x, data, i) assert len(record) < 2 @gen_cluster() def test_scatter_direct(s, a, b): c = yield Client(s.address, asynchronous=True, heartbeat_interval=10) last = s.clients[c.id].last_seen start = time() while s.clients[c.id].last_seen == last: yield gen.sleep(0.10) assert time() < start + 5 yield c._close() @pytest.mark.skipif(sys.version_info[0] < 3, reason="cloudpickle Py27 issue") @gen_cluster(client=True) def test_unhashable_function(c, s, a, b): d = {'a': 1} result = yield c.submit(d.get, 'a') assert result == 1 @gen_cluster() def test_client_name(s, a, b): with dask.config.set({'client-name': 'hello-world'}): c = yield Client(s.address, asynchronous=True) assert any("hello-world" in name for name in list(s.clients)) yield c._close() def test_client_doesnt_close_given_loop(loop, s, a, b): with Client(s['address'], loop=loop) as c: assert c.submit(inc, 1).result() == 2 with Client(s['address'], loop=loop) as c: assert c.submit(inc, 2).result() == 3 @gen_cluster(client=True, ncores=[]) def test_quiet_scheduler_loss(c, s): c._periodic_callbacks['scheduler-info'].interval = 10 with captured_logger(logging.getLogger('distributed.client')) as logger: yield s.close() yield c._update_scheduler_info() text = logger.getvalue() assert "BrokenPipeError" not in text @pytest.mark.skipif('USER' not in os.environ, reason='no USER env variable') def test_diagnostics_link_env_variable(loop): pytest.importorskip('bokeh') from distributed.bokeh.scheduler import BokehScheduler with cluster(scheduler_kwargs={'services': {('bokeh', 12355): BokehScheduler}}) as (s, [a, b]): with Client(s['address'], loop=loop) as c: with dask.config.set({'distributed.dashboard.link': 'http://foo-{USER}:{port}/status'}): text = c._repr_html_() link = 'http://foo-' + os.environ['USER'] + ':12355/status' assert link in text @gen_test() def test_client_timeout_2(): with dask.config.set({'distributed.comm.timeouts.connect': '10ms'}): start = time() c = Client('127.0.0.1:3755', asynchronous=True) with pytest.raises((TimeoutError, IOError)): yield c stop = time() yield c.close() assert stop - start < 1 @gen_test() def test_client_active_bad_port(): import tornado.web import tornado.httpserver application = tornado.web.Application([ (r"/", tornado.web.RequestHandler), ]) http_server = tornado.httpserver.HTTPServer(application) http_server.listen(8080) with dask.config.set({'distributed.comm.timeouts.connect': '10ms'}): c = Client('127.0.0.1:8080', asynchronous=True) with pytest.raises((TimeoutError, IOError)): yield c yield c._close(fast=True) http_server.stop() @pytest.mark.parametrize('direct', [True, False]) def test_turn_off_pickle(direct): @gen_cluster() def test(s, a, b): import numpy as np c = yield Client(s.address, asynchronous=True, serializers=['dask', 'msgpack']) try: assert (yield c.submit(inc, 1)) == 2 yield c.submit(np.ones, 5) yield c.scatter(1) # Can't send complex data with pytest.raises(TypeError): future = yield c.scatter(inc) # can send complex tasks (this uses pickle regardless) future = c.submit(lambda x: x, inc) yield wait(future) # but can't receive complex results with pytest.raises(TypeError): yield c.gather(future, direct=direct) # Run works result = yield c.run(lambda: 1) assert list(result.values()) == [1, 1] result = yield c.run_on_scheduler(lambda: 1) assert result == 1 # But not with complex return values with pytest.raises(TypeError): yield c.run(lambda: inc) with pytest.raises(TypeError): yield c.run_on_scheduler(lambda: inc) finally: yield c._close() test() @gen_cluster() def test_de_serialization(s, a, b): import numpy as np c = yield Client(s.address, asynchronous=True, serializers=['msgpack', 'pickle'], deserializers=['msgpack']) try: # Can send complex data future = yield c.scatter(np.ones(5)) # But can not retrieve it with pytest.raises(TypeError): result = yield future finally: yield c._close() @gen_cluster() def test_de_serialization_none(s, a, b): import numpy as np c = yield Client(s.address, asynchronous=True, deserializers=['msgpack']) try: # Can send complex data future = yield c.scatter(np.ones(5)) # But can not retrieve it with pytest.raises(TypeError): result = yield future finally: yield c._close() @gen_cluster() def test_client_repr_closed(s, a, b): c = yield Client(s.address, asynchronous=True) yield c.close() c._repr_html_() def test_client_repr_closed_sync(loop): with Client(loop=loop, processes=False) as c: c.close() c._repr_html_() @gen_cluster(client=True, ncores=[('127.0.0.1', 1)]) def test_nested_prioritization(c, s, w): x = delayed(inc)(1, dask_key_name=('a', 2)) y = delayed(inc)(2, dask_key_name=('a', 10)) o = dask.order.order(merge(x.__dask_graph__(), y.__dask_graph__())) fx, fy = c.compute([x, y]) yield wait([fx, fy]) assert ((o[x.key] < o[y.key]) == (s.tasks[tokey(fx.key)].priority < s.tasks[tokey(fy.key)].priority)) @gen_cluster(client=True) def test_scatter_error_cancel(c, s, a, b): # https://github.com/dask/distributed/issues/2038 def bad_fn(x): raise Exception('lol') x = yield c.scatter(1) y = c.submit(bad_fn, x) del x yield wait(y) assert y.status == 'error' yield gen.sleep(0.1) assert y.status == 'error' # not cancelled def test_no_threads_lingering(): active = dict(threading._active) assert threading.active_count() < 40, list(active.values()) @gen_cluster() def test_direct_async(s, a, b): c = yield Client(s.address, asynchronous=True, direct_to_workers=True) assert c.direct_to_workers yield c.close() c = yield Client(s.address, asynchronous=True, direct_to_workers=False) assert not c.direct_to_workers yield c.close() def test_direct_sync(c): assert not c.direct_to_workers def f(): return get_client().direct_to_workers assert c.submit(f).result() @gen_cluster() def test_mixing_clients(s, a, b): c1 = yield Client(s.address, asynchronous=True) c2 = yield Client(s.address, asynchronous=True) future = c1.submit(inc, 1) with pytest.raises(ValueError): c2.submit(inc, future) yield c1.close() yield c2.close() @gen_cluster(client=True) def test_tuple_keys(c, s, a, b): x = dask.delayed(inc)(1, dask_key_name=('x', 1)) y = dask.delayed(inc)(x, dask_key_name=('y', 1)) future = c.compute(y) assert (yield future) == 3 @gen_cluster(client=True) def test_map_large_kwargs_in_graph(c, s, a, b): np = pytest.importorskip('numpy') x = np.random.random(100000) futures = c.map(lambda a, b: a + b, range(100), b=x) while not s.tasks: yield gen.sleep(0.01) assert len(s.tasks) == 101 assert any(k.startswith('ndarray') for k in s.tasks) @gen_cluster(client=True) def test_retry(c, s, a, b): def f(): assert dask.config.get('foo') with dask.config.set(foo=False): future = c.submit(f) with pytest.raises(AssertionError): yield future with dask.config.set(foo=True): yield future.retry() yield future @gen_cluster(client=True) def test_retry_dependencies(c, s, a, b): def f(): return dask.config.get('foo') x = c.submit(f) y = c.submit(inc, x) with pytest.raises(KeyError): yield y with dask.config.set(foo=100): yield y.retry() result = yield y assert result == 101 yield y.retry() yield x.retry() result = yield y assert result == 101 @gen_cluster(client=True) def test_released_dependencies(c, s, a, b): def f(x): return dask.config.get('foo') + 1 x = c.submit(inc, 1, key='x') y = c.submit(f, x, key='y') del x with pytest.raises(KeyError): yield y with dask.config.set(foo=100): yield y.retry() result = yield y assert result == 101 @gen_cluster(client=True, check_new_threads=False) def test_profile_bokeh(c, s, a, b): pytest.importorskip('bokeh.plotting') from bokeh.model import Model yield c.map(slowinc, range(10), delay=0.2) state, figure = yield c.profile(plot=True) assert isinstance(figure, Model) with tmpfile('html') as fn: yield c.profile(filename=fn) assert os.path.exists(fn) @gen_cluster(client=True) def test_get_mix_futures_and_SubgraphCallable(c, s, a, b): future = c.submit(add, 1, 2) subgraph = SubgraphCallable({'_2': (add, '_0', '_1'), '_3': (add, future, '_2')}, '_3', ('_0', '_1')) dsk = {'a': 1, 'b': 2, 'c': (subgraph, 'a', 'b'), 'd': (subgraph, 'c', 'b')} future2 = c.get(dsk, 'd', sync=False) result = yield future2 assert result == 11 # Nested subgraphs subgraph2 = SubgraphCallable({'_2': (subgraph, '_0', '_1'), '_3': (subgraph, '_2', '_1'), '_4': (add, '_3', future2)}, '_4', ('_0', '_1')) dsk2 = {'e': 1, 'f': 2, 'g': (subgraph2, 'e', 'f')} result = yield c.get(dsk2, 'g', sync=False) assert result == 22 @gen_cluster(client=True) def test_get_mix_futures_and_SubgraphCallable_dask_dataframe(c, s, a, b): dd = pytest.importorskip('dask.dataframe') import pandas as pd df = pd.DataFrame({'x': range(1, 11)}) ddf = dd.from_pandas(df, npartitions=2).persist() ddf = ddf.map_partitions(lambda x: x) ddf['x'] = ddf['x'].astype('f8') ddf = ddf.map_partitions(lambda x: x) ddf['x'] = ddf['x'].astype('f8') result = yield c.compute(ddf) assert result.equals(df.astype('f8')) if sys.version_info >= (3, 5): from distributed.tests.py3_test_client import * # noqa F401