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test_unittest.py
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test_unittest.py
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import unittest
import numpy as np
import logging
from _intScheduleFlow import EventQueue
from _intScheduleFlow import Runtime
from _intScheduleFlow import StatsEngine
from _intScheduleFlow import WaitingQueue
import ScheduleFlow
# test the event priority queue
class TestEventQueue(unittest.TestCase):
def test_empty(self):
q = EventQueue()
self.assertEqual(q.size(), 0)
self.assertEqual(q.empty(), True)
def test_not_tuple(self):
q = EventQueue()
with self.assertRaises(AssertionError):
q.push(10)
def test_pop_from_empty(self):
q = EventQueue()
with self.assertRaises(IndexError):
q.pop()
with self.assertRaises(IndexError):
q.pop_list()
def test_top_from_empty(self):
q = EventQueue()
with self.assertRaises(IndexError):
q.top()
def test_pop_list_complete(self):
q = EventQueue()
q.push((7, 4))
q.push((7, 4))
q.push((7, 5))
self.assertEqual(len(q.pop_list()), 3)
def test_pop_list_correct(self):
q = EventQueue()
np.random.seed(0)
for i in range(100):
q.push((np.random.randint(0, 10), np.random.randint(1, 100)))
# check that all returned events have the same timestamp
ts = set([i[0] for i in q.pop_list()])
self.assertEqual(len(ts), 1)
# test the waiting queue class
class TestWaitingQueue(unittest.TestCase):
def test_add(self):
wq = WaitingQueue()
self.assertEqual(wq.total_jobs(), 0)
wq.add(ScheduleFlow.Application(10, 0, 1800, [4500]))
wq.add(ScheduleFlow.Application(10, 0, 1800, [1800]))
wq.add(ScheduleFlow.Application(2, 0, 800, [500]))
self.assertEqual(wq.total_priority_jobs(), 1)
self.assertEqual(wq.total_secondary_jobs(), 2)
def test_invalid_wq(self):
with self.assertRaises(AssertionError):
WaitingQueue(total_queues=0)
def test_remove_fail(self):
wq = WaitingQueue()
self.assertEqual(len(wq.get_priority_jobs()), 0)
with self.assertRaises(AssertionError):
wq.remove(ScheduleFlow.Application(10, 0, 1800, [4500]))
def test_remove(self):
wq = WaitingQueue()
job_list = []
job_list.append(ScheduleFlow.Application(10, 0, 1800, [4500]))
job_list.append(ScheduleFlow.Application(10, 0, 1800, [1800]))
job_list.append(ScheduleFlow.Application(2, 0, 800, [500]))
for job in job_list:
wq.add(job)
wq.remove(job_list[0])
self.assertEqual(wq.total_priority_jobs(), 0)
with self.assertRaises(AssertionError):
wq.remove(job_list[0])
wq.remove(job_list[1])
self.assertEqual(wq.total_secondary_jobs(), 1)
def test_update_empty(self):
wq = WaitingQueue()
wq.add(ScheduleFlow.Application(10, 0, 1800, [1800]))
wq.add(ScheduleFlow.Application(2, 0, 800, [500]))
wq.update_priority(0)
self.assertEqual(len(wq.get_priority_jobs()), 0)
wq.fill_priority_queue()
self.assertEqual(len(wq.get_priority_jobs()), 1)
def test_update_priority(self):
wq = WaitingQueue()
wq.add(ScheduleFlow.Application(10, 0, 1800, [4500]))
wq.add(ScheduleFlow.Application(10, 100, 1800, [1800]))
wq.add(ScheduleFlow.Application(2, 0, 800, [500]))
wq.update_priority(0)
self.assertEqual(len(wq.get_priority_jobs()), 1)
wq.update_priority(1900)
self.assertEqual(len(wq.get_priority_jobs()), 2)
def test_one_queue(self):
wq = WaitingQueue(total_queues=1)
wq.add(ScheduleFlow.Application(10, 0, 3600, [4500]))
wq.add(ScheduleFlow.Application(10, 0, 180, [180]))
self.assertEqual(wq.total_priority_jobs(), 2)
wq.update_priority(3600)
self.assertEqual(wq.total_priority_jobs(), 2)
def test_multiple_queues(self):
wq = WaitingQueue(total_queues=3)
wq.add(ScheduleFlow.Application(10, 0, 4300, [4500]))
wq.add(ScheduleFlow.Application(10, 0, 1200, [1800]))
wq.add(ScheduleFlow.Application(10, 1900, 3800, [3500]))
self.assertEqual(wq.total_priority_jobs(), 1)
self.assertEqual(wq.total_secondary_jobs(), 2)
self.assertEqual(len(wq.get_secondary_jobs()), 1)
wq.update_priority(1900)
self.assertEqual(len(wq.get_secondary_jobs()), 2)
wq.update_priority(3800)
self.assertEqual(wq.total_priority_jobs(), 3)
# test the system class
class TestSystem(unittest.TestCase):
def test_null_system(self):
with self.assertRaises(AssertionError):
ScheduleFlow.System(0)
def test_fail_start(self):
s = ScheduleFlow.System(10)
with self.assertRaises(AssertionError):
s.start_job(11, 0)
def test_fail_end(self):
s = ScheduleFlow.System(10)
with self.assertRaises(AssertionError):
s.end_job(1, 0)
def test_success_start(self):
s = ScheduleFlow.System(10)
s.start_job(10, 0)
self.assertEqual(s.get_free_nodes(), 0)
def test_success_end(self):
s = ScheduleFlow.System(10)
s.start_job(10, 0)
s.end_job(10, 0)
self.assertEqual(s.get_free_nodes(), 10)
# test the application class
class TestApplication(unittest.TestCase):
def test_get_request_time(self):
job_list = ScheduleFlow.Application(10, 0, 200, [100],
resubmit_factor=1.5)
self.assertEqual(job_list.get_request_time(0), 100)
self.assertEqual(job_list.get_request_time(2), 225)
def test_get_request_complex(self):
job_list = ScheduleFlow.Application(10, 0, 200, [100, 200, 300],
resubmit_factor=1.5)
self.assertEqual(job_list.get_request_time(1), 200)
self.assertEqual(job_list.get_request_time(4), 675)
job_list = ScheduleFlow.Application(10, 0, 200, [100, 200, 300])
self.assertEqual(job_list.get_request_time(4), -1)
def test_sequence_overwrite(self):
job_list = ScheduleFlow.Application(10, 0, 200, [100],
resubmit_factor=1.5)
job_list.overwrite_request_sequence([190, 200])
self.assertEqual(job_list.get_request_time(0), 190)
def test_invalid_job(self):
with self.assertRaises(AssertionError):
ScheduleFlow.Application(0, 0, 10, [11])
with self.assertRaises(AssertionError):
ScheduleFlow.Application(10, 0, 0, [11])
with self.assertRaises(AssertionError):
ScheduleFlow.Application(10, 0, 10, [0])
with self.assertRaises(AssertionError):
ScheduleFlow.Application(10, -2, 10, [11])
with self.assertRaises(AssertionError):
ScheduleFlow.Application(10, 0, 10, [])
ap = ScheduleFlow.Application(10, 0, 10, [5, 3])
with self.assertRaises(AssertionError):
ap.update_submission(5)
def test_invalid_factor(self):
with self.assertRaises(AssertionError):
ScheduleFlow.Application(7, 5, 10, [11],
resubmit_factor=-2)
# valid factor at creation but not at update
job = ScheduleFlow.Application(7, 5, 10, [9],
resubmit_factor=1)
with self.assertRaises(AssertionError):
job.update_submission(9)
def test_request_list_factor(self):
ap = ScheduleFlow.Application(7, 5, 100, [70, 80, 90],
resubmit_factor=2)
ap.update_submission(0)
self.assertEqual(ap.request_walltime, 80)
ap.update_submission(0)
self.assertEqual(ap.request_walltime, 90)
ap.update_submission(0)
self.assertEqual(ap.request_walltime, 180)
def __check_initial_data(self, job):
self.assertEqual(job.submission_time, 0)
self.assertEqual(job.request_sequence, [100, 200, 300])
self.assertEqual(job.request_walltime, 100)
self.assertEqual(job.current_checkpoint, 25)
self.assertEqual(job.checkpoint_sequence, [25, 10, 20, 15])
self.assertEqual(job.walltime, 200)
def test_restore_data(self):
job = ScheduleFlow.Application(10, 0, 200, [100, 200, 300],
resubmit_factor=1.5)
job.set_checkpointing([25, 10, 20, 15])
job.update_submission(200)
self.assertEqual(job.current_checkpoint, 10)
job.update_submission(300)
job.update_submission(500)
self.assertEqual(job.current_checkpoint, 15)
job.restore_default_values()
self.__check_initial_data(job)
job.update_submission(200)
job.restore_default_values()
self.__check_initial_data(job)
def test_restore_no_checkpoint(self):
job = ScheduleFlow.Application(10, 0, 200, [100, 200, 300],
resubmit_factor=1.5)
job.update_submission(200)
job.update_submission(300)
job.update_submission(500)
self.assertTrue(job.current_checkpoint <= 0)
job.restore_default_values()
self.assertTrue(job.current_checkpoint <= 0)
self.assertEqual(job.request_sequence, [100, 200, 300])
self.assertEqual(job.request_walltime, 100)
# test the checkpointing capabilities of the scheduler
class TestCheckpointing(unittest.TestCase):
def test_default_checkpoint(self):
job = ScheduleFlow.Application(10, 0, 200, [100, 200, 300],
resubmit_factor=1.5)
self.assertTrue(job.current_checkpoint <= 0)
self.assertEqual(len(job.checkpoint_sequence), 0)
def test_set_checkpoint(self):
job = ScheduleFlow.Application(10, 0, 200, [100, 200, 300],
resubmit_factor=1.5)
job.set_checkpointing([25, 20, 10, 50])
self.assertEqual(job.current_checkpoint, 25)
self.assertEqual(len(job.checkpoint_sequence), 4)
def test_get_checkpoint(self):
job = ScheduleFlow.Application(10, 0, 200, [100, 200, 300],
resubmit_factor=1.5)
job.set_checkpointing([25])
self.assertEqual(job.get_checkpoint_size(100), 25)
job.set_checkpointing([25, 20, 10, 50])
self.assertEqual(job.get_checkpoint_size(2), 10)
self.assertEqual(job.get_checkpoint_size(100), 50)
def test_get_current_request(self):
system = ScheduleFlow.System(10, io_read_bw=2)
job = ScheduleFlow.Application(10, 0, 200, [50, 80, 130])
self.assertEqual(job.get_current_total_request_time(), 50)
job.set_checkpointing([10, 20, 10])
job.assign_system(system)
self.assertEqual(job.get_current_total_request_time(), 60)
job.update_submission(60)
self.assertEqual(job.get_current_total_request_time(), 105)
self.assertEqual(job.walltime, 150)
# check that all submissions read the last checkpoint
system = ScheduleFlow.System(10, io_read_bw=2)
job = ScheduleFlow.Application(10, 0, 200, [50, 80, 130])
job.set_checkpointing([10, -1])
job.assign_system(system)
job.update_submission(60)
job.update_submission(145)
self.assertEqual(job.get_current_total_request_time(), 135)
def test_nofit_in_schedule(self):
system = ScheduleFlow.System(10, io_read_bw=2)
sch = ScheduleFlow.BatchScheduler(system)
reservation = {}
for i in range(5):
for _ in range(2):
job = ScheduleFlow.Application(5, 0, 50, [50])
job.set_checkpointing([10])
job.assign_system(system)
reservation[job] = i * 60
if i == 2:
break
sch.gaps_in_schedule.add(reservation)
job = ScheduleFlow.Application(1, 0, 50, [50])
job.set_checkpointing([20])
job.assign_system(system)
ret = sch.fit_job_in_schedule(job)
self.assertEqual(ret, -1)
def test_fit_in_middle(self):
system = ScheduleFlow.System(10, io_read_bw=2)
sch = ScheduleFlow.BatchScheduler(system)
reservation = {}
for i in range(5):
for _ in range(2):
job = ScheduleFlow.Application(5, 0, 50, [50])
job.set_checkpointing([10])
job.assign_system(system)
reservation[job] = i * 60
if i == 2:
break
sch.gaps_in_schedule.add(reservation)
job = ScheduleFlow.Application(1, 0, 50, [50])
job.set_checkpointing([10])
job.assign_system(system)
ret = sch.fit_job_in_schedule(job)
self.assertEqual(ret, 120)
def test_one_app_all_checkpoint(self):
sim = ScheduleFlow.Simulator()
job_list = [ScheduleFlow.Application(10, 0, 200, [50, 80, 130])]
job_list[0].set_checkpointing([10, 20, 10])
sim.create_scenario(
ScheduleFlow.BatchScheduler(
ScheduleFlow.System(10, io_read_bw=2)),
job_list=job_list)
ret = sim.run()
self.assertEqual(ret['job failures'], 2)
self.assertEqual(ret['job response time'], 245)
def test_one_app_first_checkpoint(self):
sim = ScheduleFlow.Simulator()
job_list = [ScheduleFlow.Application(10, 0, 150, [50, 60, 130])]
job_list[0].set_checkpointing([10, -1])
sim.create_scenario(
ScheduleFlow.BatchScheduler(
ScheduleFlow.System(10, io_read_bw=2)),
job_list=job_list)
ret = sim.run()
self.assertEqual(ret['job failures'], 2)
self.assertEqual(ret['job response time'], 230)
def test_simulation_correctness(self):
sim = ScheduleFlow.Simulator(check_correctness=True)
job_list = [
ScheduleFlow.Application(5, 0, 500, [200],
resubmit_factor=1.5),
ScheduleFlow.Application(5, 0, 500, [100, 200, 300, 400]),
ScheduleFlow.Application(5, 0, 500, [300, 100]),
ScheduleFlow.Application(5, 0, 400, [200, 300, 200]),
ScheduleFlow.Application(5, 0, 350, [200, 100, 200],
resubmit_factor=1.5),
ScheduleFlow.Application(5, 0, 700, [200],
resubmit_factor=1)
]
job_list[0].set_checkpointing([100])
job_list[1].set_checkpointing([100, -1, 10])
job_list[2].set_checkpointing([100])
job_list[3].set_checkpointing([-1, 100, -1])
job_list[4].set_checkpointing([100, -1])
job_list[5].set_checkpointing([50])
sim.create_scenario(
ScheduleFlow.BatchScheduler(ScheduleFlow.System(10)),
job_list=job_list)
sim.run()
self.assertEqual(sim.test_correctness(), 0)
# test the ScheduleGaps class
class TestScheduleGaps(unittest.TestCase):
def test_add_jobs(self):
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10))
reservations = {}
reservations[ScheduleFlow.Application(5, 0, 2, [5])] = 0
reservations[ScheduleFlow.Application(3, 0, 1, [2])] = 3
reservations[ScheduleFlow.Application(9, 0, 3, [5])] = 5
reservations[ScheduleFlow.Application(1, 0, 2, [5])] = 5
reservations[ScheduleFlow.Application(10, 0, 3, [5])] = 10
gaps = sch.gaps_in_schedule.update(reservations, -1)
self.assertTrue(len(gaps) == 2)
self.assertEqual(set([i[2] for i in gaps]), set([2, 5]))
gaps = sch.gaps_in_schedule.update(
{ScheduleFlow.Application(2, 0, 1, [1]): 4}, -1)
self.assertEqual(max([i[1]-i[0] for i in gaps]), 4)
def test_left_void_in_middle(self):
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10), 10)
reservation = {}
reservation[ScheduleFlow.Application(5, 0, 50, [50])] = 0
reservation[ScheduleFlow.Application(5, 0, 50, [50])] = 100
reservation[ScheduleFlow.Application(10, 0, 50, [50])] = 150
gaps = sch.gaps_in_schedule.add(reservation)
self.assertTrue([50, 100, 10] in gaps)
self.assertSequenceEqual([i[0] for i in gaps], [0, 50])
def test_right_void_in_middle(self):
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10), 10)
reservation = {}
reservation[ScheduleFlow.Application(10, 0, 50, [50])] = 0
reservation[ScheduleFlow.Application(5, 0, 50, [50])] = 100
reservation[ScheduleFlow.Application(5, 0, 50, [50])] = 150
gaps = sch.gaps_in_schedule.add(reservation)
self.assertTrue([50, 100, 10] in gaps)
self.assertTrue(all(x[0] == 50 for x in gaps))
def test_add_job_over(self):
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10))
reservations = {}
reservations[ScheduleFlow.Application(3, 0, 5, [5])] = 3
reservations[ScheduleFlow.Application(7, 0, 10, [10])] = 0
gaps = sch.gaps_in_schedule.update(reservations, -1)
self.assertTrue(len(gaps) == 2)
self.assertEqual(min([i[0] for i in gaps]), 0)
self.assertEqual(max([i[1] for i in gaps]), 10)
def test_remove_middle_jobs(self):
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10))
job = ScheduleFlow.Application(1, 0, 2, [5])
reservations = {}
reservations[ScheduleFlow.Application(5, 0, 2, [5])] = 0
reservations[ScheduleFlow.Application(3, 0, 1, [2])] = 3
reservations[ScheduleFlow.Application(9, 0, 3, [5])] = 5
reservations[job] = 5
reservations[ScheduleFlow.Application(10, 0, 3, [5])] = 10
gaps = sch.gaps_in_schedule.update(reservations, -1)
gaps = sch.gaps_in_schedule.update({job: 5}, 1)
self.assertTrue(len(gaps) == 3)
self.assertEqual([i for i in gaps if i[0] == 7][0], [7, 10, 1])
def test_free_hidden_gaps(self):
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10))
reservations = {}
reservations[ScheduleFlow.Application(2, 0, 5, [5])] = 0
reservations[ScheduleFlow.Application(8, 0, 3, [3])] = 5
reservations[ScheduleFlow.Application(2, 0, 1, [10])] = 0
gaps = sch.gaps_in_schedule.add(reservations)
gaps = sch.gaps_in_schedule.remove(reservations)
self.assertTrue([0, 10, 2] in gaps)
def test_reservation_batch(self):
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10))
reservations = {}
reservations[ScheduleFlow.Application(5, 0, 2, [5])] = 0
reservations[ScheduleFlow.Application(9, 0, 3, [5])] = 5
reservations[ScheduleFlow.Application(3, 0, 1, [2])] = 3
reservations[ScheduleFlow.Application(1, 0, 4, [10])] = 0
reservations[ScheduleFlow.Application(10, 0, 3, [5])] = 10
reservations[ScheduleFlow.Application(10, 0, 2, [5])] = 15
gaps = sch.gaps_in_schedule.add(reservations)
gaps = sch.gaps_in_schedule.remove(reservations)
# result is [[0, 5, 4], [0, 10, 1], [2, 3, 9], [2, 5, 6],
# [4, 5, 10], [8, 10, 10], [13, 15, 10], [17, 20, 10]]
self.assertTrue(len([i for i in gaps if i[2] == 10]) == 4)
self.assertTrue(len([i for i in gaps if i[0] == 2]) == 2)
self.assertTrue(len([i for i in gaps if i[0] == 0]) == 2)
def test_trim(self):
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10))
reservations = {}
reservations[ScheduleFlow.Application(5, 0, 2, [5])] = 0
reservations[ScheduleFlow.Application(9, 0, 3, [5])] = 5
reservations[ScheduleFlow.Application(3, 0, 1, [2])] = 3
reservations[ScheduleFlow.Application(1, 0, 4, [10])] = 0
reservations[ScheduleFlow.Application(10, 0, 3, [5])] = 10
reservations[ScheduleFlow.Application(10, 0, 2, [5])] = 15
gaps = sch.gaps_in_schedule.add(reservations)
gaps = sch.gaps_in_schedule.trim(4)
self.assertTrue(len(gaps) == 1)
def test_clear(self):
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10))
reservations = {}
reservations[ScheduleFlow.Application(5, 0, 2, [5])] = 0
reservations[ScheduleFlow.Application(9, 0, 3, [5])] = 5
reservations[ScheduleFlow.Application(3, 0, 1, [2])] = 3
gaps = sch.gaps_in_schedule.add(reservations)
reservations = {}
reservations[ScheduleFlow.Application(1, 0, 4, [10])] = 0
reservations[ScheduleFlow.Application(10, 0, 3, [5])] = 10
reservations[ScheduleFlow.Application(10, 0, 2, [5])] = 15
sch.gaps_in_schedule.clear()
gaps = sch.gaps_in_schedule.add(reservations)
self.assertEqual(len(gaps), 1)
# test the basic scheduler class
class TestScheduler(unittest.TestCase):
def test_invalid_stop(self):
sch = ScheduleFlow.Scheduler(ScheduleFlow.System(10))
with self.assertRaises(AssertionError):
sch.clear_job(ScheduleFlow.Application(7, 5, 10, [11]))
def test_invalid_jobs(self):
sch = ScheduleFlow.Scheduler(ScheduleFlow.System(10))
with self.assertRaises(AssertionError):
sch.submit_job(ScheduleFlow.Application(20, 5, 10, [11]))
# test the online scheduler class
class TestOnlineScheduler(unittest.TestCase):
def test_longest_job(self):
sch = ScheduleFlow.OnlineScheduler(ScheduleFlow.System(100))
max_exec = 0
np.random.seed(0)
for i in range(10):
exect = np.random.randint(10, 100)
max_exec = exect if max_exec < exect else max_exec
sch.submit_job(ScheduleFlow.Application(51, 0, exect, [exect]))
ap_list = sch.trigger_schedule(0)
self.assertNotEqual(len(ap_list), 0)
self.assertEqual(ap_list[0][1].request_walltime, max_exec)
def test_multiple_wait_queues(self):
sch = ScheduleFlow.OnlineScheduler(ScheduleFlow.System(100),
total_queues=10)
max_procs = 0
np.random.seed(0)
# all jobs will be included in the lowest priority queue
for i in range(10):
procs = np.random.randint(10, 100)
max_procs = procs if max_procs < procs else max_procs
sch.submit_job(ScheduleFlow.Application(procs, 0, 10, [10]))
ap_list = sch.trigger_schedule(0)
self.assertNotEqual(len(ap_list), 0)
self.assertEqual(ap_list[0][1].nodes, max_procs)
def test_largest_job(self):
sch = ScheduleFlow.OnlineScheduler(ScheduleFlow.System(100))
max_procs = 0
np.random.seed(0)
for i in range(10):
procs = np.random.randint(10, 100)
max_procs = procs if max_procs < procs else max_procs
sch.submit_job(ScheduleFlow.Application(procs, 0, 10, [10]))
ap_list = sch.trigger_schedule(0)
self.assertNotEqual(len(ap_list), 0)
self.assertEqual(ap_list[0][1].nodes, max_procs)
def test_one_node_jobs(self):
sch = ScheduleFlow.OnlineScheduler(ScheduleFlow.System(100))
np.random.seed(0)
num_jobs = np.random.randint(1, 101)
for i in range(num_jobs):
exect = np.random.randint(36000, 360000)
sch.submit_job(ScheduleFlow.Application(
1, np.random.randint(0, 100), exect, [exect]))
ap_list = sch.trigger_schedule(0)
self.assertEqual(len(ap_list), num_jobs)
def test_nofit_in_schedule(self):
system = ScheduleFlow.System(10)
sch = ScheduleFlow.OnlineScheduler(system)
reservation = {}
for i in range(5):
reservation[ScheduleFlow.Application(5, 0, 50, [50])] = i * 50
reservation[ScheduleFlow.Application(5, 0, 50, [50])] = i * 50
sch.gaps_in_schedule.add(reservation)
job = ScheduleFlow.Application(1, 0, 50, [50])
ret = sch.fit_job_in_schedule(job)
self.assertEqual(ret, -1)
def test_fit_middle(self):
system = ScheduleFlow.System(10)
sch = ScheduleFlow.OnlineScheduler(system)
reservation = {}
for i in list(range(5)) + list(range(6, 10)):
job = ScheduleFlow.Application(5, 0, 50, [50])
reservation[job] = i * 50
job = ScheduleFlow.Application(5, 0, 50, [50])
reservation[job] = i * 50
# add random number of one node jobs ( < 8 total jobs )
# with execution times <= 50
num_jobs = np.random.randint(1, 8)
for i in range(num_jobs):
job = ScheduleFlow.Application(
1, 0, 50 - i, [50 - i])
reservation[job] = 250
sch.gaps_in_schedule.add(reservation)
# try to fit an application of execution time = 40 and 2 nodes whose
# submission time is 5 over when the gap is available
job = ScheduleFlow.Application(2, 255, 40, [40])
ret = sch.fit_job_in_schedule(job)
self.assertEqual(ret, 255)
def test_fit_end(self):
system = ScheduleFlow.System(10)
sch = ScheduleFlow.OnlineScheduler(system)
reservation = {}
for i in range(5):
job = ScheduleFlow.Application(5, 0, 50, [50])
reservation[job] = i * 50
job = ScheduleFlow.Application(5, 0, 50, [50])
reservation[job] = i * 50
job = ScheduleFlow.Application(4, 0, 10, [10])
reservation[job] = 250
sch.gaps_in_schedule.add(reservation)
# fit a job that is larger than the gap at the end
ret = sch.fit_job_in_schedule(
ScheduleFlow.Application(6, 255, 50, [50]))
self.assertEqual(ret, 255)
ret = sch.fit_job_in_schedule(
ScheduleFlow.Application(6, 265, 50, [50]))
self.assertEqual(ret, -1)
# test the batch scheduler class
class TestBatchScheduler(unittest.TestCase):
def test_nofit_end(self):
system = ScheduleFlow.System(10)
sch = ScheduleFlow.BatchScheduler(system, 15)
reservation = {}
for i in range(5):
reservation[ScheduleFlow.Application(5, 0, 50, [50])] = i * 50
reservation[ScheduleFlow.Application(5, 0, 50, [50])] = i * 50
reservation[ScheduleFlow.Application(4, 0, 10, [10])] = 250
sch.gaps_in_schedule.add(reservation)
# fit a job that is larger than the gap at the end
ret = sch.fit_job_in_schedule(
ScheduleFlow.Application(6, 0, 50, [50]))
self.assertEqual(ret, -1)
def test_fit_end(self):
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10), 15)
reservation = {}
for i in range(5):
reservation[ScheduleFlow.Application(5, 0, 50, [50])] = i * 50
reservation[ScheduleFlow.Application(5, 0, 50, [50])] = i * 50
reservation[ScheduleFlow.Application(4, 0, 10, [10])] = 250
# fit a job that is larger than the gap at the end (submission time is
# 5 over when the gap is available)
sch.gaps_in_schedule.add(reservation)
ret = sch.fit_job_in_schedule(
ScheduleFlow.Application(6, 255, 5, [5]))
self.assertEqual(ret, 255)
def test_one_node_jobs(self):
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(100), 105)
np.random.seed(0)
num_jobs = np.random.randint(1, 101)
for i in range(num_jobs):
exect = np.random.randint(10, 100)
sch.submit_job(ScheduleFlow.Application(
1, 0, exect, [exect]))
ap_list = sch.trigger_schedule(0)
self.assertEqual(len(ap_list), num_jobs)
# all jobs start at timestamp 0
self.assertEqual(max([job[0] for job in ap_list]), 0)
def test_system_wide_jobs(self):
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10), 105)
np.random.seed(0)
num_jobs = np.random.randint(1, 101)
for i in range(num_jobs):
exect = np.random.randint(10, 100)
procs = np.random.randint(6, 10)
sch.submit_job(ScheduleFlow.Application(
procs, 0, exect, [exect]))
ap_list = sch.trigger_schedule(0)
ap_list.sort()
exec_order = [
job[1].nodes *
job[1].request_walltime for job in ap_list]
# jobs executed in order of their volume
self.assertTrue(all(exec_order[i] >= exec_order[i + 1]
for i in range(len(exec_order) - 1)))
# jobs reserved to execute one after the other
ts = 0
for job in ap_list:
self.assertEqual(ts, job[0])
ts += job[1].request_walltime
def test_batch_size(self):
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10), 10)
np.random.seed(0)
num_jobs = np.random.randint(11, 20)
for i in range(num_jobs):
exect = np.random.randint(10, 100)
procs = np.random.randint(6, 10)
sch.submit_job(ScheduleFlow.Application(
procs, 0, exect, [exect]))
ap_list = sch.trigger_schedule(0)
self.assertTrue(len(ap_list), 10)
def test_batch_small(self):
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10), 10)
np.random.seed(0)
num_jobs = np.random.randint(11, 20)
for i in range(num_jobs):
exect = np.random.randint(10, 100)
procs = np.random.randint(6, 9)
sch.submit_job(ScheduleFlow.Application(
procs, np.random.randint(0, 100), exect, [exect]))
# add a small job that will fit inside the schedule
# of the first 10 jobs
sch.submit_job(ScheduleFlow.Application(
1, np.random.randint(0, 100), 10, [10]))
ap_list = sch.trigger_schedule(0)
self.assertTrue(len(ap_list), 11)
# test the runtime class
class TestRuntime(unittest.TestCase):
def test_restore_job_default(self):
for SchedulerType in ScheduleFlow.Scheduler.__subclasses__():
sch = SchedulerType(ScheduleFlow.System(10))
runtime = Runtime([ScheduleFlow.Application(
10, 0, 100, [80, 100, 120],
resubmit_factor=1.5)])
runtime(sch)
workload = runtime.get_stats()
for job in workload:
self.assertEqual(job.submission_time, 0)
self.assertEqual(job.request_walltime, 80)
self.assertEqual(job.request_sequence[1], 100)
def test_empty_workload(self):
for SchedulerType in ScheduleFlow.Scheduler.__subclasses__():
sch = SchedulerType(ScheduleFlow.System(10))
runtime = Runtime(set())
runtime(sch)
workload = runtime.get_stats()
self.assertEqual(len(workload), 0)
def test_one_job_success(self):
for SchedulerType in ScheduleFlow.Scheduler.__subclasses__():
sch = SchedulerType(ScheduleFlow.System(10))
np.random.seed(0)
start_time = np.random.randint(1, 100)
execution_time = np.random.randint(1, 100)
runtime = Runtime([ScheduleFlow.Application(
7,
start_time,
execution_time,
[execution_time])])
runtime(sch)
workload = runtime.get_stats()
self.assertEqual(len(workload), 1)
# assert job did not fail, it started when it was
# submitted and ended after the execution time
for job in workload:
self.assertEqual(len(workload[job]), 1)
self.assertEqual(workload[job][0][0], start_time)
self.assertEqual(workload[job][0][1],
start_time + execution_time)
def test_one_job_failed(self):
for SchedulerType in ScheduleFlow.Scheduler.__subclasses__():
sch = SchedulerType(ScheduleFlow.System(10))
np.random.seed(0)
start_time = np.random.randint(1, 100)
execution_time = np.random.randint(11, 100)
runtime = Runtime([ScheduleFlow.Application(
7,
start_time,
execution_time,
[execution_time - 10],
resubmit_factor=1.5)])
runtime(sch)
workload = runtime.get_stats()
self.assertEqual(len(workload), 1)
for job in workload:
self.assertGreater(len(workload[job]), 1)
# all runs of the job except last should be failures
for i in range(len(workload[job]) - 1):
self.assertGreater(
workload[job][i][0] + execution_time,
workload[job][i][1])
i += 1
self.assertLessEqual(
workload[job][i][0] + execution_time, workload[job][i][1])
def test_many_one_node_jobs(self):
for SchedulerType in ScheduleFlow.Scheduler.__subclasses__():
sch = SchedulerType(ScheduleFlow.System(100))
job_list = set()
for i in range(100):
job_list.add(
ScheduleFlow.Application(
1,
i * 10,
1000 - i * 10,
[1000 - i * 10]))
runtime = Runtime(job_list)
runtime(sch)
workload = runtime.get_stats()
exec_order = sorted([workload[job][0][0] for job in workload])
self.assertListEqual(exec_order, [i * 10 for i in range(100)])
def test_multiple_queues_order(self):
for SchedulerType in ScheduleFlow.Scheduler.__subclasses__():
sch = SchedulerType(ScheduleFlow.System(10),
total_queues=2)
job_list = set()
job_list.add(ScheduleFlow.Application(10, 0, 7000, [7000]))
job_list.add(ScheduleFlow.Application(10, 1, 300, [300]))
job_list.add(ScheduleFlow.Application(10, 6000, 1000, [1000]))
runtime = Runtime(job_list)
runtime(sch)
workload = runtime.get_stats()
exec_order = sorted(
[(job.walltime, workload[job][0][0]) for job in workload],
key=lambda job: job[1])
self.assertListEqual([i[0] for i in exec_order], [7000, 300, 1000])
sch = SchedulerType(ScheduleFlow.System(10),
total_queues=1)
job_list = set()
job_list.add(ScheduleFlow.Application(10, 0, 7000, [7000]))
job_list.add(ScheduleFlow.Application(10, 1, 300, [300]))
job_list.add(ScheduleFlow.Application(10, 6000, 1000, [1000]))
runtime = Runtime(job_list)
runtime(sch)
workload = runtime.get_stats()
exec_order = sorted(
[(job.walltime, workload[job][0][0]) for job in workload],
key=lambda job: job[1])
self.assertListEqual([i[0] for i in exec_order], [7000, 1000, 300])
def test_batch_wq_backfill(self):
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10),
total_queues=2)
job_list = set()
job_list.add(ScheduleFlow.Application(10, 0, 5000, [7000]))
job_list.add(ScheduleFlow.Application(5, 0, 9000, [10000]))
job_list.add(ScheduleFlow.Application(10, 0, 100, [100]))
job_list.add(ScheduleFlow.Application(10, 0, 900, [1000]))
job_list.add(ScheduleFlow.Application(10, 0, 900, [900]))
runtime = Runtime(job_list)
runtime(sch)
workload = runtime.get_stats()
self.assertEqual(
max([workload[i][len(workload[i])-1][1] for i in workload]),
16000)
# using 2 priority queues uses the small jobs for backfill
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10),
total_queues=1)
job_list = set()
job_list.add(ScheduleFlow.Application(10, 0, 5000, [7000]))
job_list.add(ScheduleFlow.Application(5, 0, 9000, [10000]))
job_list.add(ScheduleFlow.Application(10, 0, 100, [100]))
job_list.add(ScheduleFlow.Application(10, 0, 900, [1000]))
job_list.add(ScheduleFlow.Application(10, 0, 900, [900]))
runtime = Runtime(job_list)
runtime(sch)
workload = runtime.get_stats()
self.assertEqual(
max([workload[i][len(workload[i])-1][1] for i in workload]),
19000)
def test_space_out_jobs(self):
for num_queues in range(1, 3):
for SchedulerType in ScheduleFlow.Scheduler.__subclasses__():
sch = SchedulerType(ScheduleFlow.System(10),
total_queues=num_queues)
job_list = set()
job_list.add(ScheduleFlow.Application(10, 0, 7000, [7000]))
job_list.add(ScheduleFlow.Application(1, 16000, 1000, [1000]))
runtime = Runtime(job_list)
runtime(sch)
workload = runtime.get_stats()
self.assertEqual(
max([workload[i][len(workload[i])-1][1]
for i in workload]),
17000)
def test_same_start(self):
for SchedulerType in ScheduleFlow.Scheduler.__subclasses__():
sch = SchedulerType(ScheduleFlow.System(100))
np.random.seed(0)
job_list = set()
for i in range(100):
execution_time = np.random.randint(11, 100)
job_list.add(ScheduleFlow.Application(
1, 1 + i * 10, execution_time, [execution_time]))
# job_listication in the beginning that will make all other be
# in the wait queue for the next schedule trigger
job_list.add(ScheduleFlow.Application(100, 0, 1000, [1000]))
runtime = Runtime(job_list)
runtime(sch)
workload = runtime.get_stats()
self.assertEqual(
len([job for job in workload if workload[job][0][0] == 0]),
1)
self.assertEqual(
len([job for job in workload if workload[job][0][0] == 1000]),
100)
def test_nofail_random(self):
sch = ScheduleFlow.OnlineScheduler(ScheduleFlow.System(100))
job_list = set()
np.random.seed(0)
for i in range(100):
execution_time = np.random.randint(11, 100)
job_list.add(ScheduleFlow.Application(
np.random.randint(51, 100),
0, execution_time, [execution_time]))
runtime = Runtime(job_list)
runtime(sch)
workload = runtime.get_stats()
# get (stat_time, volume) for each job and sort by start time
exec_order = [(workload[job][0][0], job.nodes * job.request_walltime)
for job in workload]
exec_order.sort()
exec_order = [i[1] for i in exec_order]
self.assertTrue(all(exec_order[i] >= exec_order[i + 1]
for i in range(len(exec_order) - 1)))
def test_fail_job_online(self):
job_list = set()
np.random.seed(0)
for i in range(10):
execution_time = np.random.randint(11, 100)
job_list.add(ScheduleFlow.Application(
np.random.randint(6, 11),
0, execution_time, [execution_time],
resubmit_factor=1.5))
fail_job = ScheduleFlow.Application(
np.random.randint(1, 11), 0, 100, [90], resubmit_factor=1.5)
job_list.add(fail_job)
sch = ScheduleFlow.OnlineScheduler(ScheduleFlow.System(10))
runtime = Runtime(job_list)
runtime(sch)
workload = runtime.get_stats()
# failed job runs after its previous instance
self.assertEqual(workload[fail_job][0][1], workload[fail_job][1][0])
def test_fail_job_batch(self):
job_list = set()
np.random.seed(0)
for i in range(10):
execution_time = np.random.randint(11, 100)
job_list.add(ScheduleFlow.Application(
np.random.randint(1, 11), 0, execution_time, [execution_time]))
fail_job = ScheduleFlow.Application(
np.random.randint(9, 11), 0, 100, [90], resubmit_factor=1.5)
job_list.add(fail_job)
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10))
runtime = Runtime(job_list)
runtime(sch)
workload = runtime.get_stats()
# failed job ran last
last_run = max([workload[job][0][1] for job in workload])
self.assertEqual(workload[fail_job][
len(workload[fail_job]) - 1][0], last_run)
def test_backfill_nojob(self):
for SchedulerType in ScheduleFlow.Scheduler.__subclasses__():
job_list = set()
for i in range(10):
if i == 7:
job_list.add(ScheduleFlow.Application(5, 0, 50, [50]))
seljob = ScheduleFlow.Application(5, 0, 50, [60])
job_list.add(seljob)
job_list.add(ScheduleFlow.Application(5, 0, 50, [50]))
job_list.add(ScheduleFlow.Application(5, 0, 50, [50]))
sch = SchedulerType(ScheduleFlow.System(10))
runtime = Runtime(job_list)
runtime(sch)
workload = runtime.get_stats()
# check that first job ran is id 15
first_job = [job for job in workload if workload[job][0][0] == 0]
self.assertIn(seljob, first_job)
# online covers the gap, batch does not
cnt = 0
if SchedulerType == ScheduleFlow.BatchScheduler:
cnt = 1
self.assertEqual(
len([job for job in workload if workload[job][0][0] == 60]),
cnt)
def test_backfill_jobs(self):
# two backfill jobs running over a gap created by one job
sch = ScheduleFlow.BatchScheduler(ScheduleFlow.System(10), 9)
job_list = set()
for i in range(5):
time = 50
if i == 3:
time = 30
job_list.add(ScheduleFlow.Application(5, 0, 50, [50]))
job_list.add(ScheduleFlow.Application(5, 0, time, [50]))
job_list.add(ScheduleFlow.Application(5, 0, 10, [10]))
job_list.add(ScheduleFlow.Application(5, 0, 10, [10]))
runtime = Runtime(job_list)