def test__start_job_update_revocable_job(client):
"""
Given 12 non-revocable cpus, and 12 revocable cpus
Create a non-revocable of 3 instance, with 3 CPU per instance
Create a revocable job of 1 instance, with 4 CPU per instance
"""
non_revocable_job = start_job_update(
client,
"test_dc_labrat_cpus_large.yaml",
"start job update test/dc/labrat_large",
)
revocable_job = start_job_update(
client,
"test_dc_labrat_revocable.yaml",
"start job update test/dc/labrat_revocable",
)
# Add some wait time for lucene index to build
time.sleep(10)
# validate 1 revocable tasks are running
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={revocable_job},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 1
# validate 3 non-revocable tasks are running
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={non_revocable_job},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 3
def test__host_limit_1(client, hostmgr):
"""
- Create a job with host limit 1 constraint and validate each pod
is running on different host.
- Update a job, wait for it to complete and verify host limit 1 constraint.
- Update a job, restart host manager, then wait for update to complete and
lastly verify host limit 1 constraint.
"""
# Create job.
job_key = start_job_update(client, "test_dc_labrat.yaml",
"start job update test/dc/labrat")
# Add some wait time for lucene index to build
time.sleep(10)
res = client.get_tasks_without_configs(api.TaskQuery(jobKeys={job_key}))
assert len(res.tasks) == 3
verify_host_limit_1(res.tasks)
# Start a update with host limit 1 constraint
job_key = start_job_update(client, "test_dc_labrat_1.yaml",
"start job update test/dc/labrat_1")
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 3
verify_host_limit_1(res.tasks)
# Start an update, and restart hostmanager before update completes.
res = client.start_job_update(
get_job_update_request("test_dc_labrat.yaml"),
"start job update test/dc/labrat",
)
# restart host manager
hostmgr.restart()
wait_for_rolled_forward(client, res.key)
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 3
verify_host_limit_1(res.tasks)
def get_task_status(client, job_key, instances=None):
"""Querying current task status for job.
Args:
client: aurora client object
job_key: aurora JobKey struct specifying the job to query for
instances: a list of instance ids to wait for, wait for all instances
passed as None
Returns:
a list of ScheduleStatus enum representing the state for all tasks
"""
res = client.get_tasks_without_configs(api.TaskQuery(jobKeys=[job_key]))
assert res.tasks is not None
tasks_per_instance = {}
for t in res.tasks:
instance_id = t.assignedTask.instanceId
if instance_id not in tasks_per_instance:
tasks_per_instance[instance_id] = []
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
tasks_per_instance[instance_id].append((run_id, t.status))
# grab task status from latest pod run
return [
max(statuses)[1] for iid, statuses in tasks_per_instance.iteritems()
if instances is None or iid in instances
]
def test__simple_update_tasks_reconcile(client, hostmgr, mesos_master):
"""
Restart host manager and mesos master multiple times,
to make sure mesos tasks are reconciled correctly.
"""
res = client.start_job_update(
get_job_update_request('test_dc_labrat_large_job.yaml'),
'start job update test/dc/labrat_large_job')
# wait for sometime for jobmgr goal state engine to kick-in
time.sleep(random.randint(1, 10))
# First restart
hostmgr.restart()
time.sleep(random.randint(1, 5))
mesos_master.restart()
# Second restart
hostmgr.restart()
time.sleep(random.randint(1, 5))
mesos_master.restart()
# Third restart
hostmgr.restart()
time.sleep(random.randint(1, 5))
mesos_master.restart()
wait_for_rolled_forward(client, res.key)
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={res.key.job},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 10
def test__simple_update_with_restart_component(client, jobmgr, resmgr, hostmgr,
mesos_master):
"""
Start an update, and restart jobmgr, resmgr, hostmgr & mesos master.
"""
res = client.start_job_update(
get_job_update_request('test_dc_labrat_large_job.yaml'),
'start job update test/dc/labrat_large_job')
# wait for sometime for jobmgr goal state engine to kick-in
time.sleep(random.randint(1, 10))
jobmgr.restart()
# wait for sometime to enqueue gangs
time.sleep(random.randint(1, 10))
# clear any admission and queues
resmgr.restart()
# wait for sometime to acquire host lock
time.sleep(random.randint(1, 10))
# clear host `placing` lock
hostmgr.restart()
time.sleep(random.randint(1, 10))
# restart mesos master to jumble up host manager state
mesos_master.restart()
wait_for_rolled_forward(client, res.key)
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={res.key.job},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 10
def test__simple_auto_rolled_back(client):
"""
Create a job, then issue a bad config update and validate
job is rolled back to previous version
"""
start_job_update(client, 'test_dc_labrat.yaml',
'start job update test/dc/labrat')
# Add some wait time for lucene index to build
time.sleep(10)
res = client.start_job_update(
get_job_update_request('test_dc_labrat_bad_config.yaml'),
'rollout bad config')
wait_for_rolled_back(client, res.key)
# validate job is rolled back to previous config
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={res.key.job},
statuses={api.ScheduleStatus.RUNNING}))
tasks = res.tasks
assert len(tasks) == 3
for t in tasks:
for r in t.assignedTask.task.resources:
if r.numCpus > 0:
assert r.numCpus == 0.25
elif r.ramMb > 0:
assert r.ramMb == 128
elif r.diskMb > 0:
assert r.diskMb == 128
else:
assert False, 'unexpected resource {}'.format(r)
def test__abort_auto_rollback_and_update(client):
"""
1. Create a job
2. Start a bad update, wait for auto-rollback to kick-in
3. Once auto-rollback starts, abort an update.
4. Do a new good update and all the instances should converge to the new config.
"""
start_job_update(
client,
"test_dc_labrat_large_job.yaml",
"start job update test/dc/labrat_large_job",
)
# Add some wait time for lucene index to build
time.sleep(10)
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job_bad_config.yaml"),
"rollout bad config",
)
# wait for auto-rollback to kick-in
wait_for_auto_rolling_back(client, res.key)
client.abort_job_update(res.key, "abort update")
wait_for_update_status(
client,
res.key,
{api.JobUpdateStatus.ROLLING_BACK},
api.JobUpdateStatus.ABORTED,
)
new_config = get_job_update_request(
"test_dc_labrat_large_job_new_config.yaml"
)
res = client.start_job_update(new_config, "rollout good config")
# Sleep for a while so that update gets triggered.
time.sleep(5)
wait_for_rolled_forward(client, res.key)
res = client.get_tasks_without_configs(
api.TaskQuery(
jobKeys={res.key.job}, statuses={api.ScheduleStatus.RUNNING}
)
)
assert len(res.tasks) == 10
for t in res.tasks:
assert len(t.assignedTask.task.metadata) == 1
assert (
list(t.assignedTask.task.metadata)[0].key
== list(new_config.taskConfig.metadata)[0].key
)
assert (
list(t.assignedTask.task.metadata)[0].value
== list(new_config.taskConfig.metadata)[0].value
)
assert t.ancestorId
def test__deploy_on_aborted_update(client):
"""
Deploy an update, and abort half-way. Then re-deploy
same update. Updated instances should not restart again.
"""
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job.yaml"),
"start job update test/dc/labrat_large_job",
)
# Few instances start
time.sleep(5)
client.abort_job_update(res.key, "abort update")
wait_for_update_status(
client,
res.key,
{api.JobUpdateStatus.ROLLING_FORWARD},
api.JobUpdateStatus.ABORTED,
)
# Not all instances were created
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={res.key.job})
)
assert len(res.tasks) < 10
# deploy same update, should impact remaining instances
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job_diff_executor.yaml"),
"start job update test/dc/labrat_large_job_diff_executor",
)
wait_for_rolled_forward(client, res.key)
# All instances are created
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={res.key.job})
)
assert len(res.tasks) == 10
# No instances should have ancestor id, thereby validating
# instances created in previous update are not restarted/redeployed
for task in res.tasks:
assert task.ancestorId is None
def verify_task_config(client, job_key, metadata_dict):
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
for t in res.tasks:
for m in t.assignedTask.task.metadata:
if m.key in metadata_dict:
assert m.value == metadata_dict[m.key]
else:
assert False, "unexpected metadata {}".format(m)
def get_running_tasks(client, job_key):
"""Calls getTasksWithoutConfigs endpoint to get currently running tasks.
Args:
client: aurora client object
job_key: aurora job key
"""
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
return res.tasks
def test__simple_update_tasks_reconcile(self, failure_tester):
"""
Restart host manager and mesos master multiple times,
to make sure mesos tasks are reconciled correctly.
"""
res = failure_tester.aurorabridge_client.start_job_update(
get_job_update_request('test_dc_labrat_large_job.yaml'),
'start job update test/dc/labrat_large_job')
# wait for sometime for jobmgr goal state engine to kick-in
time.sleep(random.randint(1, 10))
# First restart
leader = failure_tester.fw.get_leader_info(failure_tester.hostmgr)
assert leader
assert 0 != failure_tester.fw.restart(failure_tester.hostmgr, "leader")
failure_tester.wait_for_leader_change(failure_tester.hostmgr, leader)
failure_tester.reset_client()
time.sleep(random.randint(1, 5))
assert 0 != failure_tester.fw.restart(failure_tester.mesos_master)
# Second restart
leader = failure_tester.fw.get_leader_info(failure_tester.hostmgr)
assert leader
assert 0 != failure_tester.fw.restart(failure_tester.hostmgr, "leader")
failure_tester.wait_for_leader_change(failure_tester.hostmgr, leader)
failure_tester.reset_client()
time.sleep(random.randint(1, 5))
assert 0 != failure_tester.fw.restart(failure_tester.mesos_master)
# Third restart
leader = failure_tester.fw.get_leader_info(failure_tester.hostmgr)
assert leader
assert 0 != failure_tester.fw.restart(failure_tester.hostmgr, "leader")
failure_tester.wait_for_leader_change(failure_tester.hostmgr, leader)
failure_tester.reset_client()
time.sleep(random.randint(1, 5))
assert 0 != failure_tester.fw.restart(failure_tester.mesos_master)
# Sleep to help the cluster to stabilize
time.sleep(10)
wait_for_rolled_forward(failure_tester.aurorabridge_client, res.key)
res = failure_tester.aurorabridge_client.get_tasks_without_configs(
api.TaskQuery(jobKeys={res.key.job},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 10
def test__simple_update_with_restart_component(self, failure_tester):
"""
Start an update, and restart jobmgr, resmgr, hostmgr & mesos master.
"""
res = failure_tester.aurorabridge_client.start_job_update(
get_job_update_request('test_dc_labrat_large_job.yaml'),
'start job update test/dc/labrat_large_job')
# wait for sometime for jobmgr goal state engine to kick-in
time.sleep(random.randint(1, 10))
leader = failure_tester.fw.get_leader_info(failure_tester.jobmgr)
assert leader
assert 0 != failure_tester.fw.restart(failure_tester.jobmgr, "leader")
failure_tester.wait_for_leader_change(failure_tester.jobmgr, leader)
failure_tester.reset_client()
# wait for sometime to enqueue gangs
time.sleep(random.randint(1, 10))
# clear any admission and queues
leader = failure_tester.fw.get_leader_info(failure_tester.resmgr)
assert leader
assert 0 != failure_tester.fw.restart(failure_tester.resmgr, "leader")
failure_tester.wait_for_leader_change(failure_tester.resmgr, leader)
failure_tester.reset_client()
# wait for sometime to acquire host lock
time.sleep(random.randint(1, 10))
# clear host `placing` lock
leader = failure_tester.fw.get_leader_info(failure_tester.hostmgr)
assert leader
assert 0 != failure_tester.fw.restart(failure_tester.hostmgr, "leader")
failure_tester.wait_for_leader_change(failure_tester.hostmgr, leader)
failure_tester.reset_client()
time.sleep(random.randint(1, 10))
# restart mesos master to jumble up host manager state
assert 0 != failure_tester.fw.restart(failure_tester.mesos_master)
# Sleep to help the cluster to stabilize
time.sleep(10)
wait_for_rolled_forward(failure_tester.aurorabridge_client,
res.key,
timeout_secs=200)
res = failure_tester.aurorabridge_client.get_tasks_without_configs(
api.TaskQuery(jobKeys={res.key.job},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 10
def get_task_status(client, job_key):
'''Querying current task status for job.
Args:
client: aurora client object
job_key: aurora JobKey struct specifying the job to query for
Returns:
a list of ScheduleStatus enum representing the state for all tasks
'''
res = client.get_tasks_without_configs(api.TaskQuery(jobKeys=[job_key]))
assert res.tasks is not None
return [t.status for t in res.tasks]
def test__simple_update_with_diff(client):
"""
test simple update use case where second update has config
change, here all the instances will move to new config
"""
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job.yaml"),
"start job update test/dc/labrat_large_job",
)
wait_for_rolled_forward(client, res.key)
res = client.get_job_update_details(None, api.JobUpdateQuery(key=res.key))
assert len(res.detailsList[0].updateEvents) > 0
assert len(res.detailsList[0].instanceEvents) > 0
# Do update with labels changed
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job_diff_labels.yaml"),
"start job update test/dc/labrat_large_job",
)
job_key = res.key.job
wait_for_rolled_forward(client, res.key)
res = client.get_job_update_details(None, api.JobUpdateQuery(key=res.key))
assert len(res.detailsList[0].updateEvents) > 0
assert len(res.detailsList[0].instanceEvents) > 0
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
for task in res.tasks:
assert task.ancestorId is not None
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job_diff_labels.yaml"),
"start job update test/dc/labrat_large_job",
)
wait_for_rolled_forward(client, res.key)
res = client.get_job_update_details(None, api.JobUpdateQuery(key=res.key))
assert len(res.detailsList[0].updateEvents) > 0
assert len(res.detailsList[0].instanceEvents) == 0
def get_task_status(client, job_key, instances=None):
'''Querying current task status for job.
Args:
client: aurora client object
job_key: aurora JobKey struct specifying the job to query for
instances: a list of instance ids to wait for, wait for all instances
passed as None
Returns:
a list of ScheduleStatus enum representing the state for all tasks
'''
res = client.get_tasks_without_configs(api.TaskQuery(jobKeys=[job_key]))
assert res.tasks is not None
return [
t.status for t in res.tasks
if not instances or t.assignedTask.instanceId in instances
]
def test__simple_update_events_purge(client, jobmgr, resmgr):
"""
Restart job manager and resource manager multiple times,
to make sure mesos task status update events are purged
correctly.
"""
res = client.start_job_update(
get_job_update_request('test_dc_labrat_large_job.yaml'),
'start job update test/dc/labrat_large_job')
# wait for sometime for jobmgr goal state engine to kick-in
time.sleep(random.randint(1, 10))
# First restart
jobmgr.restart()
time.sleep(random.randint(1, 5))
resmgr.restart()
time.sleep(random.randint(1, 5))
# Second restart
jobmgr.restart()
time.sleep(random.randint(1, 5))
resmgr.restart()
time.sleep(random.randint(1, 5))
# Third restart
jobmgr.restart()
time.sleep(random.randint(1, 5))
resmgr.restart()
# Sleep to ensure lucene index converges
time.sleep(10)
wait_for_rolled_forward(client, res.key)
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={res.key.job},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 10
def test__job_create_fail_manual_rollback(client):
"""
Start a failed job update, while half-way in the update,
trigger a manual rollback
"""
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job_bad_config.yaml"),
"start job update test/dc/labrat_large_job (failed)",
)
job_update_key = res.key
job_key = res.key.job
# wait for the first instance starting
time.sleep(5)
wait_for_failed(client, job_key, instances=[0])
res = client.get_job_update_details(None,
api.JobUpdateQuery(jobKey=job_key))
assert len(res.detailsList[0].updateEvents) > 0
assert len(res.detailsList[0].instanceEvents) > 0
# rollback update
client.rollback_job_update(job_update_key)
wait_for_rolled_back(client, job_update_key)
res = client.get_job_update_details(None,
api.JobUpdateQuery(jobKey=job_key))
assert len(res.detailsList[0].updateEvents) > 0
assert len(res.detailsList[0].instanceEvents) > 0
# validate no tasks are running
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
tasks = res.tasks
assert len(tasks) == 0
def test__abort_auto_rollback_with_pinned_instances_and_update(client):
"""
1. Create a job.
2. Start a bad update (version 2) targeting subset of instances.
3. Wait for the auto-rollback to kick-in.
4. Once auto-rollback kicks in, abort the update.
4. Start a new good update and wait for all instances to converge to that update.
"""
# Create a job
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job.yaml"),
"start job update test/dc/labrat_large_job",
)
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 10
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert run_id == "1"
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, "unexpected metadata %s" % m
# start a bad update with updateOnlyTheseInstances parameter
update_instances = [0, 2, 3, 7, 9]
pinned_req = get_job_update_request(
"test_dc_labrat_large_job_bad_config.yaml")
pinned_req.settings.updateOnlyTheseInstances = set(
[api.Range(first=i, last=i) for i in update_instances])
pinned_req.settings.maxFailedInstances = 4
res = client.start_job_update(
pinned_req,
"start a bad update test/dc/labrat_large_job with pinned instances",
)
# wait for auto-rollback to kick-in
wait_for_auto_rolling_back(client, res.key, timeout_secs=150)
# abort the update
client.abort_job_update(res.key, "abort update")
wait_for_update_status(
client,
res.key,
{api.JobUpdateStatus.ROLLING_BACK},
api.JobUpdateStatus.ABORTED,
)
# start a new good update
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job_new_config.yaml"),
"start job update test/dc/labrat_large_job with a good config",
)
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 10
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert len(t.assignedTask.task.metadata) == 1
for m in t.assignedTask.task.metadata:
if m.key == "test_key_12":
assert m.value == "test_value_12"
else:
assert False, "unexpected metadata %s" % m
if t.assignedTask.instanceId in update_instances:
# only a few of the pinned instances might have rolled back
assert run_id == "3" or run_id == "4"
else:
assert run_id == "2"
def test__auto_rollback_with_pinned_instances__remove_instances(client):
"""
1. Create a job.
2. Start a bad update on a subset of instances and adding more instances.
3. The instances should rollback to their previous version.
No instances should be removed.
"""
req = get_job_update_request("test_dc_labrat_large_job.yaml")
res = client.start_job_update(req,
"start job update test/dc/labrat_large_job")
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 10
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert run_id == "1"
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, "unexpected metadata %s" % m
# start a update with updateOnlyTheseInstances parameter,
# and reduce instance count
update_instances = set([2, 3, 4, 5])
pinned_req = get_job_update_request(
"test_dc_labrat_large_job_bad_config.yaml")
pinned_req.settings.updateOnlyTheseInstances = set(
[api.Range(first=i, last=i) for i in update_instances])
pinned_req.instanceCount = 8
pinned_req.settings.maxFailedInstances = 3
pinned_req.settings.updateGroupSize = 1
res = client.start_job_update(
pinned_req,
"start a bad update test/dc/labrat_large_job with pinned instances",
)
wait_for_rolled_back(client, res.key)
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 10
for t in res.tasks:
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, "unexpected metadata %s" % m
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
if t.assignedTask.instanceId in update_instances:
assert run_id == "3"
else:
assert run_id == "1"
def test__auto_rollback_with_pinned_instances__stopped_instances(client):
"""
1. Create a job (v1).
2. Start update on the first subset of instances (v2).
3. Start update on second subset of instances (v3).
4. Stop some instances.
5. Start a bad update on a subset consisting of at least
one instance in each of v1, v2, v3 and stopped
6. The instances should rollback to their respective previous good versions.
The stopped instances in the bad update should transit to running.
"""
all_instances = set([i for i in xrange(10)])
# Create a job
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job.yaml"),
"start job update test/dc/labrat_large_job",
)
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 10
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert run_id == "1"
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, "unexpected metadata %s" % m
# start a update on first subset of instances
update_instances_1 = set([4, 5, 6, 7])
pinned_req = get_job_update_request(
"test_dc_labrat_large_job_diff_labels.yaml")
pinned_req.settings.updateOnlyTheseInstances = set(
[api.Range(first=i, last=i) for i in update_instances_1])
res = client.start_job_update(
pinned_req,
"start job update test/dc/labrat_large_job with pinned instances",
)
wait_for_rolled_forward(client, res.key)
# Start another update on the second subset of instances
update_instances_2 = set([8, 9])
pinned_req = get_job_update_request(
"test_dc_labrat_large_job_new_config.yaml")
pinned_req.settings.updateOnlyTheseInstances = set(
[api.Range(first=i, last=i) for i in update_instances_2])
res = client.start_job_update(
pinned_req,
"start another job update test/dc/labrat_large_job with pinned instances",
)
wait_for_rolled_forward(client, res.key)
# Stop some instances
stop_instances = set([5, 8])
client.kill_tasks(
job_key,
stop_instances,
"killing instance 5, 8 for job test/dc/labrat_large_job",
)
wait_for_killed(client, job_key, stop_instances)
# Start a bad update
bad_update_instances = set([0, 5, 6, 9])
pinned_req = get_job_update_request(
"test_dc_labrat_large_job_bad_config.yaml")
pinned_req.settings.updateOnlyTheseInstances = set(
[api.Range(first=i, last=i) for i in bad_update_instances])
pinned_req.settings.maxFailedInstances = 1
pinned_req.settings.maxPerInstanceFailures = 1
pinned_req.settings.updateGroupSize = 2
res = client.start_job_update(
pinned_req,
"start a bad update test/dc/labrat_large_job with pinned instances",
)
wait_for_rolled_back(client, res.key)
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(
res.tasks) == (len(all_instances - stop_instances) +
len(bad_update_instances.intersection(stop_instances)))
for t in res.tasks:
if t.assignedTask.instanceId in update_instances_1:
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_11":
assert m.value == "test_value_11"
elif m.key == "test_key_22":
assert m.value == "test_value_22"
else:
assert False, "unexpected metadata %s" % m
elif t.assignedTask.instanceId in update_instances_2:
print(t.assignedTask.instanceId)
assert len(t.assignedTask.task.metadata) == 1
for m in t.assignedTask.task.metadata:
if m.key == "test_key_12":
assert m.value == "test_value_12"
else:
assert False, "unexpected metadata %s" % m
else:
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, "unexpected metadata %s" % m
if t.assignedTask.instanceId in (stop_instances -
bad_update_instances):
assert False, "unexpected start of stopped instance"
def test__auto_rollback_with_pinned_instances(client):
"""
1. Create a job.
2. Start a bad update (version 2) targeting subset of instances.
3. Wait for the instances to be auto-rolled back.
Only the instances specified above should be affected.
"""
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job.yaml"),
"start job update test/dc/labrat_large_job",
)
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 10
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert run_id == "1"
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, "unexpected metadata %s" % m
# start a bad update with updateOnlyTheseInstances parameter
update_instances = [0, 2, 3, 7, 9]
pinned_req = get_job_update_request(
"test_dc_labrat_large_job_bad_config.yaml")
pinned_req.settings.updateOnlyTheseInstances = set(
[api.Range(first=i, last=i) for i in update_instances])
pinned_req.settings.updateGroupSize = 5
pinned_req.settings.maxFailedInstances = 3
res = client.start_job_update(
pinned_req,
"start a bad update test/dc/labrat_large_job with pinned instances",
)
wait_for_rolled_back(client, res.key)
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
# verify that the run-id of only the pinned instances has changed
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
if t.assignedTask.instanceId in update_instances:
assert run_id == "3"
else:
assert run_id == "1"
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, (
"unexpected metadata %s for unaffected instances" % m)
def test__get_tasks_without_configs_task_queries(client):
# Verify no tasks are returned before creating.
res = client.get_tasks_without_configs(api.TaskQuery())
assert len(res.tasks) == 0
# Create jobs.
test_dc_labrat_key = start_job_update(client, "test_dc_labrat_read.yaml",
"start job update test/dc/labrat")
test_dc_labrat_0_key = start_job_update(
client, "test_dc_labrat0.yaml", "start job update test/dc/labrat0")
test_dc_0_labrat_1_key = start_job_update(
client, "test_dc0_labrat1.yaml", "start job update test/dc0/labrat1")
test_dc_labrat_1_key = start_job_update(
client, "test_dc_labrat1.yaml", "start job update test/dc/labrat1")
test2_dc2_labrat2_key = start_job_update(
client, "test2_dc2_labrat2.yaml", "start job update test2/dc2/labrat2")
# Add some wait time for lucene index to build
time.sleep(10)
# Kill one of the jobs.
client.kill_tasks(test_dc_labrat_1_key, None,
"killing all tasks test/dc/labrat1")
wait_for_killed(client, test_dc_labrat_1_key)
for message, query, expected_job_keys in [
(
"query job keys",
api.TaskQuery(jobKeys={
test_dc_labrat_key,
test_dc_labrat_0_key,
test2_dc2_labrat2_key,
}),
[test_dc_labrat_key, test_dc_labrat_0_key, test2_dc2_labrat2_key],
),
(
"query role + env + name",
api.TaskQuery(
role=test_dc_labrat_key.role,
environment=test_dc_labrat_key.environment,
jobName=test_dc_labrat_key.name,
),
[test_dc_labrat_key],
),
(
"query role + env",
api.TaskQuery(
role=test_dc_labrat_key.role,
environment=test_dc_labrat_key.environment,
),
[test_dc_labrat_key, test_dc_labrat_0_key, test_dc_labrat_1_key],
),
(
"query role",
api.TaskQuery(role=test_dc_labrat_key.role),
[
test_dc_labrat_key,
test_dc_labrat_0_key,
test_dc_labrat_1_key,
test_dc_0_labrat_1_key,
],
),
(
"query role + statuses",
api.TaskQuery(
role=test_dc_labrat_key.role,
statuses={api.ScheduleStatus.RUNNING},
),
[test_dc_labrat_key, test_dc_labrat_0_key, test_dc_0_labrat_1_key],
),
]:
res = client.get_tasks_without_configs(query)
# Expect 3 tasks per job key.
assert len(res.tasks) == len(expected_job_keys) * 2, message
assert_keys_equal(
remove_duplicate_keys(t.assignedTask.task.job for t in res.tasks),
expected_job_keys,
message=message,
)
def test__update_with_pinned_instances__deploy_stopped_instances(client):
"""
test pinned instance deployment with stop / deploy instances:
1. start a regular update (version 1) on all instances
2. stop subset of instances
3. start a new update (version 2) targeting subset of instances
(stopped instances included), expect stopped instances to be
brought up with new version and other targeted instances to
be updated
4. start regular update (version 1) again on all instances, expect
only instances affected by previous step to be updated
"""
all_instances = set([i for i in xrange(10)])
# start a regular update
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job.yaml"),
"start job update test/dc/labrat_large_job",
)
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == len(all_instances)
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert run_id == "1"
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, "unexpected metadata %s" % m
# stop subset of instances
stop_instances = set([2, 8])
client.kill_tasks(
job_key,
stop_instances,
"killing instance 2, 8 for job test/dc/labrat_large_job",
)
wait_for_killed(client, job_key, stop_instances)
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == len(all_instances - stop_instances)
for t in res.tasks:
assert t.assignedTask.instanceId in (all_instances - stop_instances)
# start a update with updateOnlyTheseInstances parameter
# expect stopped instances to be started
update_instances = set([2, 3, 5, 8])
pinned_req = get_job_update_request(
"test_dc_labrat_large_job_diff_labels.yaml")
pinned_req.settings.updateOnlyTheseInstances = set(
[api.Range(first=i, last=i) for i in update_instances])
res = client.start_job_update(
pinned_req,
"start second job update test/dc/labrat_large_job with pinned instances and label diff",
)
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_job_update_details(None, api.JobUpdateQuery(key=res.key))
assert len(res.detailsList) == 1
assert len(res.detailsList[0].instanceEvents) > 0
for ie in res.detailsList[0].instanceEvents:
assert ie.instanceId in update_instances
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == len(all_instances)
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert len(t.assignedTask.task.metadata) == 2
if t.assignedTask.instanceId in update_instances:
assert run_id == "2"
for m in t.assignedTask.task.metadata:
if m.key == "test_key_11":
assert m.value == "test_value_11"
elif m.key == "test_key_22":
assert m.value == "test_value_22"
else:
assert False, (
"unexpected metadata %s for affected instances" % m)
elif t.assignedTask.instanceId in (all_instances - update_instances):
assert run_id == "1"
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, (
"unexpected metadata %s for affected instances" % m)
else:
assert False, ("unexpected instance id %s" %
t.assignedTask.instanceId)
# start the regular update again same as the first one
# expect changes only for instances updated by previous update
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job_diff_executor.yaml"),
"start third job update test/dc/labrat_large_job",
)
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_job_update_details(None, api.JobUpdateQuery(key=res.key))
assert len(res.detailsList) == 1
assert len(res.detailsList[0].instanceEvents) > 0
for ie in res.detailsList[0].instanceEvents:
assert ie.instanceId in update_instances
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == len(all_instances)
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert len(t.assignedTask.task.metadata) == 2
if t.assignedTask.instanceId in update_instances:
assert run_id == "3"
elif t.assignedTask.instanceId in (all_instances - update_instances):
assert run_id == "1"
else:
assert False, ("unexpected instance id %s" %
t.assignedTask.instanceId)
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, (
"unexpected metadata %s for affected instances" % m)
def test__update_with_pinned_instances__start_stopped_instances_all(client):
"""
test pinned instance deployment with stop / start all instances:
1. start a regular update (version 1) on all instances
2. stop all instances
3. start the same update (version 1) on all instances (stopped
instances included), expect all instances to be updated and
start running
4. start regular update (version 1) again on all instances, expect
no change on all instances
"""
all_instances = set([i for i in xrange(10)])
# start a regular update
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job.yaml"),
"start job update test/dc/labrat_large_job",
)
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == len(all_instances)
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert run_id == "1"
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, "unexpected metadata %s" % m
# stop all instances
stop_instances = set([i for i in xrange(10)])
client.kill_tasks(
job_key,
stop_instances,
"killing all instances for job test/dc/labrat_large_job",
)
wait_for_killed(client, job_key, stop_instances)
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 0
# start a update without updateOnlyTheseInstances parameter
# expect all instances to be started
update_instances = set([i for i in xrange(10)])
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job_diff_executor.yaml"),
"start second job update test/dc/labrat_large_job",
)
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_job_update_details(None, api.JobUpdateQuery(key=res.key))
assert len(res.detailsList) == 1
assert len(res.detailsList[0].instanceEvents) > 0
for ie in res.detailsList[0].instanceEvents:
assert ie.instanceId in (update_instances & stop_instances)
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == len(all_instances)
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert run_id == "2"
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, (
"unexpected metadata %s for affected instances" % m)
# start the regular update again same as the first one
# expect no change for all instances
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job.yaml"),
"start third job update test/dc/labrat_large_job",
)
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_job_update_details(None, api.JobUpdateQuery(key=res.key))
assert len(res.detailsList) == 1
assert res.detailsList[0].instanceEvents is None
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == len(all_instances)
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
if t.assignedTask.instanceId in stop_instances:
assert run_id == "2"
elif t.assignedTask.instanceId in (all_instances - stop_instances):
assert run_id == "1"
else:
assert False, ("unexpected instance id %s" %
t.assignedTask.instanceId)
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, (
"unexpected metadata %s for affected instances" % m)
def test__update_with_pinned_instances__stopped_instances(client):
"""
test pinned instance deployment with stopped instances:
1. start a regular update (version 1) on all instances
2. stop subset of instances
3. start another update (version 2) targeting subset of instances
(stopped instances not included), expect only targeted instances
to be updated and stopped instances remain stopped
"""
all_instances = set([i for i in xrange(10)])
# start a regular update
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job.yaml"),
"start job update test/dc/labrat_large_job",
)
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == len(all_instances)
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert run_id == "1"
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, "unexpected metadata %s" % m
# stop subset of instances
stop_instances = set([1, 6])
client.kill_tasks(
job_key,
stop_instances,
"killing instance 1, 6 for job test/dc/labrat_large_job",
)
wait_for_killed(client, job_key, stop_instances)
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == len(all_instances - stop_instances)
for t in res.tasks:
assert t.assignedTask.instanceId in (all_instances - stop_instances)
# start a update with updateOnlyTheseInstances parameter
update_instances = set([0, 2, 3, 7, 9])
pinned_req = get_job_update_request(
"test_dc_labrat_large_job_diff_labels.yaml")
pinned_req.settings.updateOnlyTheseInstances = set(
[api.Range(first=i, last=i) for i in update_instances])
res = client.start_job_update(
pinned_req,
"start job update test/dc/labrat_large_job with pinned instances",
)
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_job_update_details(None, api.JobUpdateQuery(key=res.key))
assert len(res.detailsList) == 1
assert len(res.detailsList[0].instanceEvents) > 0
for ie in res.detailsList[0].instanceEvents:
assert ie.instanceId in update_instances
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == len(all_instances - stop_instances)
# expect instance 0, 2, 3, 7, 9 to be updated to newer version, with run id 2
# expect instance 1, 6 remain at stopped
# expect instance 4, 5, 8 remain at original version, with run id 1
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
if t.assignedTask.instanceId in update_instances:
assert run_id == "2"
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_11":
assert m.value == "test_value_11"
elif m.key == "test_key_22":
assert m.value == "test_value_22"
else:
assert False, (
"unexpected metadata %s for affected instances" % m)
elif t.assignedTask.instanceId in (all_instances - stop_instances):
assert run_id == "1"
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, (
"unexpected metadata %s for unaffected instances" % m)
else:
assert False, ("unexpected instance id %s: should be stopped" %
t.assignedTask.instanceId)
def test__update_with_pinned_instances__add_remove_instance(client):
"""
test pinned instance deployment with add / remove instances:
1. start a regular update (version 1) on all instances
2. start another update (version 2) targeting subset of instances,
while adding instances, expect only add and targeted instances
to be updated
3. start regular update (version 1) again on all instances, while
removing instances, expect only instances affected by previous
step to be updated and additional instances removed
"""
all_instances = set(range(8))
# start a regular update
req = get_job_update_request("test_dc_labrat_large_job.yaml")
req.instanceCount = 8
res = client.start_job_update(req,
"start job update test/dc/labrat_large_job")
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 8
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert run_id == "1"
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, "unexpected metadata %s" % m
# start a update with updateOnlyTheseInstances parameter,
# and add instances
update_instances = set([0, 2, 3, 8, 9])
pinned_req = get_job_update_request(
"test_dc_labrat_large_job_diff_labels.yaml")
pinned_req.settings.updateOnlyTheseInstances = set(
[api.Range(first=i, last=i) for i in update_instances])
res = client.start_job_update(
pinned_req,
"start job update test/dc/labrat_large_job with pinned instances",
)
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_job_update_details(None, api.JobUpdateQuery(key=res.key))
assert len(res.detailsList) == 1
assert len(res.detailsList[0].instanceEvents) > 0
for ie in res.detailsList[0].instanceEvents:
assert ie.instanceId in update_instances
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 10
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
if t.assignedTask.instanceId in update_instances:
if t.assignedTask.instanceId in all_instances:
assert run_id == "2"
else:
assert run_id == "1"
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_11":
assert m.value == "test_value_11"
elif m.key == "test_key_22":
assert m.value == "test_value_22"
else:
assert False, (
"unexpected metadata %s for affected instances" % m)
else:
assert run_id == "1"
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, (
"unexpected metadata %s for unaffected instances" % m)
# start a regular update again should affect instances updated in
# previous request, and remove instances
req = get_job_update_request("test_dc_labrat_large_job_diff_executor.yaml")
req.instanceCount = 8
res = client.start_job_update(
req,
"start job update test/dc/labrat_large_job again (with executor data order diff)",
)
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_job_update_details(None, api.JobUpdateQuery(key=res.key))
assert len(res.detailsList) == 1
assert len(res.detailsList[0].instanceEvents) > 0
for ie in res.detailsList[0].instanceEvents:
assert ie.instanceId in update_instances
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == 8
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, "unexpected metadata %s" % m
if t.assignedTask.instanceId in (update_instances & all_instances):
assert run_id == "3"
else:
assert run_id == "1"
def test__manual_rollback_abort(client):
"""
- Create Job
- Start an update
- Perform manual rollback on rolling_forward update
- Abort rolling_back update
- Stateless job will actually have two updates, but bridge will dedupe
last two updates (as manual rollback was done)
- Validate that task config for each instance
"""
# Create a job and wait for it to complete
start_job_update(
client,
"test_dc_labrat_large_job.yaml",
"start job update test/dc/labrat_large_job",
)
# Do update on previously created job
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job_diff_labels.yaml"),
"start job update test/dc/labrat_large_job_diff_labels",
)
job_update_key = res.key
job_key = res.key.job
# wait for few instances running
time.sleep(10)
# rollback update
client.rollback_job_update(job_update_key)
# wait for sometime to trigger manual rollback
time.sleep(5)
# abort the manual rollback
client.abort_job_update(job_update_key, "abort update")
# 2 updates must be present for this job
res = client.get_job_update_details(None,
api.JobUpdateQuery(jobKey=job_key))
assert len(res.detailsList) == 2
# first event is rolling forward
assert (res.detailsList[0].updateEvents[0].status ==
api.JobUpdateStatus.ROLLING_FORWARD)
# second last element is rolling back, after manual rollback is triggered
assert (res.detailsList[0].updateEvents[-2].status ==
api.JobUpdateStatus.ROLLING_BACK)
# most recent event is aborted, once manual rollback is aborted
assert (res.detailsList[0].updateEvents[-1].status ==
api.JobUpdateStatus.ABORTED)
# wait for all tasks to be running after invoking abort
count = 0
while count < 6:
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
if len(res.tasks) == 10:
break
count = count + 1
time.sleep(10)
# run-id == 1: Job Create
# run-id == 2: Job Update with diff labels
# run-id == 3: Update rollback to previous version
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
if run_id == "1" or run_id == "3":
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, (
"unexpected metadata %s for affected instances" % m)
elif run_id == "2":
for m in t.assignedTask.task.metadata:
if m.key == "test_key_11":
assert m.value == "test_value_11"
elif m.key == "test_key_22":
assert m.value == "test_value_22"
else:
assert False, (
"unexpected metadata %s for affected instances" % m)
else:
assert False, ("unexpected run id %s" % t.assignedTask.taskId)
def test__get_tasks_without_configs__previous_run(client):
"""
test getTasksWithoutConfigs endpoint for tasks from previous runs:
1. start a regular update (version 1) on all instances
2. start a another update (version 2) on all instances
"""
req1 = get_job_update_request("test_dc_labrat_large_job.yaml")
req1.settings.updateGroupSize = 10
req2 = get_job_update_request("test_dc_labrat_large_job_diff_labels.yaml")
req2.settings.updateGroupSize = 10
# start a regular update
job_key = start_job_update(client, req1,
"start job update test/dc/labrat_large_job")
res = client.get_tasks_without_configs(api.TaskQuery(jobKeys={job_key}))
assert len(res.tasks) == 10
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert run_id == "1"
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, "unexpected metadata %s" % m
# start 6 new updates (assuming pod_runs_depth is 6), expect run id 1
# to be excluded
start_job_update(client, req2, "start job update test/dc/labrat_large_job")
start_job_update(client, req1, "start job update test/dc/labrat_large_job")
start_job_update(client, req2, "start job update test/dc/labrat_large_job")
start_job_update(client, req1, "start job update test/dc/labrat_large_job")
start_job_update(client, req2, "start job update test/dc/labrat_large_job")
start_job_update(client, req1, "start job update test/dc/labrat_large_job")
res = client.get_tasks_without_configs(api.TaskQuery(jobKeys={job_key}))
assert len(res.tasks) == 10 * 6
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert len(t.assignedTask.task.metadata) == 2
if run_id in ("7"):
assert t.status == api.ScheduleStatus.RUNNING
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, "unexpected metadata %s" % m
elif run_id in ("6", "4", "2"):
assert t.status == api.ScheduleStatus.KILLED
for m in t.assignedTask.task.metadata:
if m.key == "test_key_11":
assert m.value == "test_value_11"
elif m.key == "test_key_22":
assert m.value == "test_value_22"
else:
assert False, "unexpected metadata %s" % m
elif run_id in ("5", "3"):
assert t.status == api.ScheduleStatus.KILLED
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, "unexpected metadata %s" % m
else:
assert False, "unexpected run id: %d" % run_id
def test__get_tasks_without_configs(client):
# Create job.
job_key = start_job_update(client, "test_dc_labrat_read.yaml",
"start job update test/dc/labrat")
# Add some wait time for lucene index to build
time.sleep(10)
res = client.get_tasks_without_configs(api.TaskQuery(jobKeys={job_key}))
assert len(res.tasks) == 2
host_counts = defaultdict(int)
for t in res.tasks:
# ScheduledTask
assert api.ScheduleStatus.RUNNING == t.status
assert t.ancestorId is None
# ScheduledTask.TaskEvent
assert api.ScheduleStatus.RUNNING == t.taskEvents[-1].status
assert "peloton" == t.taskEvents[-1].scheduler
# ScheduledTask.AssignedTask
assert t.assignedTask.taskId is not None
assert t.assignedTask.slaveId is not None
assert t.assignedTask.slaveHost is not None
assert t.assignedTask.instanceId in (0, 1)
# ScheduledTask.AssignedTask.TaskConfig
assert "test" == t.assignedTask.task.job.role
assert "dc" == t.assignedTask.task.job.environment
assert "labrat" == t.assignedTask.task.job.name
assert "testuser" == t.assignedTask.task.owner.user
assert t.assignedTask.task.isService
assert 5 == t.assignedTask.task.priority
assert "preemptible" == t.assignedTask.task.tier
assert 2 == len(t.assignedTask.task.metadata)
for m in t.assignedTask.task.metadata:
if "test_key_1" == m.key:
assert "test_value_1" == m.value
elif "test_key_2" == m.key:
assert "test_value_2" == m.value
else:
assert False, "unexpected metadata {}".format(m)
assert 3 == len(t.assignedTask.task.resources)
for r in t.assignedTask.task.resources:
if r.numCpus > 0:
assert 0.25 == r.numCpus
elif r.ramMb > 0:
assert 128 == r.ramMb
elif r.diskMb > 0:
assert 128 == r.diskMb
else:
assert False, "unexpected resource {}".format(r)
assert 1 == len(t.assignedTask.task.constraints)
assert "host" == list(t.assignedTask.task.constraints)[0].name
assert (1 == list(
t.assignedTask.task.constraints)[0].constraint.limit.limit)
host_counts[t.assignedTask.slaveHost] += 1
# Ensure the host limit is enforced.
for host, count in host_counts.iteritems():
assert count == 1, "{host} has more than 1 task".format(host=host)
def test__update_with_pinned_instances__deploy_stopped_instances_mixed(client):
"""
test pinned instance deployment with mixed version and instance state
1. start a regular update (version 1) on all instances
2. stop subset of instances
3. start a new update (version 2) targeting subset of instances
(some of stopped instances included), expect targeted instances
to be either brought up with newer version or updated with new
version
4. start regular update (version 1) again on another set of instances
(some of previously stopped instances included, some of instances
updated in previous step included), expect only stopped and
instances affected previous step to be either brought up or updated
"""
all_instances = set([i for i in xrange(10)])
# start a regular update
res = client.start_job_update(
get_job_update_request("test_dc_labrat_large_job.yaml"),
"start job update test/dc/labrat_large_job",
)
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == len(all_instances)
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert run_id == "1"
assert len(t.assignedTask.task.metadata) == 2
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, "unexpected metadata %s" % m
# stop subset of instances
stop_instances = set([2, 8])
client.kill_tasks(
job_key,
stop_instances,
"killing instance 2, 8 for job test/dc/labrat_large_job",
)
wait_for_killed(client, job_key, stop_instances)
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == len(all_instances - stop_instances)
for t in res.tasks:
assert t.assignedTask.instanceId in (all_instances - stop_instances)
# start a update with updateOnlyTheseInstances parameter
# expected only instances which targeted by updateOnlyTheseInstances
# to be updated, within which stopped ones are started.
update_instances = set([3, 5, 8])
pinned_req = get_job_update_request(
"test_dc_labrat_large_job_diff_labels.yaml")
pinned_req.settings.updateOnlyTheseInstances = set(
[api.Range(first=i, last=i) for i in update_instances])
res = client.start_job_update(
pinned_req,
"start second job update test/dc/labrat_large_job with pinned instances and label diff",
)
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_job_update_details(None, api.JobUpdateQuery(key=res.key))
assert len(res.detailsList) == 1
assert len(res.detailsList[0].instanceEvents) > 0
for ie in res.detailsList[0].instanceEvents:
assert ie.instanceId in update_instances
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == len((all_instances - stop_instances)
| update_instances)
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert len(t.assignedTask.task.metadata) == 2
if t.assignedTask.instanceId in update_instances:
assert run_id == "2"
for m in t.assignedTask.task.metadata:
if m.key == "test_key_11":
assert m.value == "test_value_11"
elif m.key == "test_key_22":
assert m.value == "test_value_22"
else:
assert False, (
"unexpected metadata %s for affected instances" % m)
elif t.assignedTask.instanceId in (all_instances - stop_instances -
update_instances):
assert run_id == "1"
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, (
"unexpected metadata %s for affected instances" % m)
else:
assert False, ("unexpected instance id %s: should be stopped" %
t.assignedTask.instanceId)
# start the regular update again same as the first one, targeting
# subset of instances.
# expect instance start / updated iff the instance has different config
# or instance is stopped.
update_2_instances = set([2, 3, 8, 9])
pinned_req_2 = get_job_update_request(
"test_dc_labrat_large_job_diff_executor.yaml")
pinned_req_2.settings.updateOnlyTheseInstances = set(
[api.Range(first=i, last=i) for i in update_2_instances])
res = client.start_job_update(
pinned_req_2, "start third job update test/dc/labrat_large_job")
wait_for_rolled_forward(client, res.key)
job_key = res.key.job
res = client.get_job_update_details(None, api.JobUpdateQuery(key=res.key))
assert len(res.detailsList) == 1
assert len(res.detailsList[0].instanceEvents) > 0
for ie in res.detailsList[0].instanceEvents:
# exclude instances that are previously running and still on
# the first update
assert ie.instanceId in (
update_2_instances -
(all_instances - update_instances - stop_instances))
# Expected instances for each corresponding state:
#
# v1s - instances on original job config (v1) and stopped
# v1r1 - instances on original job config (v1) and running with run id 1
# v1r2 - instances on original job config (v1) and running with run id 2
# v1r3 - instances on original job config (v1) and running with run id 3
# v2r2 - instances on updated job config (v2) and running with run id 2
#
# How did we calculate the instance ids?
#
# Let T1, T2, T3, T4 be each of the four operations, which are
# T1 - start original update (v1 job config) for all instances (let it be A)
# T2 - stop subset of instances (let it be S)
# T3 - start new update (v2 job config) on subset of instances (let it be U1)
# T4 - start origin update again (v1 job config) on subset of instances (let it be U2)
#
# At T1:
# v1r1 = A
#
# At T2:
# v1s = S
# v1r1' = v1r1 - S = A - S
#
# At T3:
# v1s' = v1s - U1 = S - U1
# v2r1 = (empty set)
# v2r2 = U1
# v1r1'' = A - v2r2 - v1s' = A - U1 - (S - U1)
#
# At T4:
# v1s'' = v1s' - U2 = S - U1 - U2
# v1r2 = U2 & v1s' = U2 & (S - U1)
# v1r3 = U1 & U2
# v2r2' = v2r2 - U2 = U1 - U2
# v1r1''' = A - v1s'' - v1r2 - v1r3 - v2r2'
v1s = stop_instances - update_instances - update_2_instances
v1r2 = update_2_instances & (stop_instances - update_instances)
v1r3 = update_instances & update_2_instances
v2r2 = update_instances - update_2_instances
v1r1 = all_instances - v1s - v1r2 - v1r3 - v2r2
assert not v1s, "should not be any instances remain as stopped"
assert v1r1, "expect instances to be in version 1 run id 1"
assert v1r2, "expect instances to be in version 1 run id 2"
assert v1r3, "expect instances to be in version 1 run id 3"
assert v2r2, "expect instances to be in version 2 run id 2"
res = client.get_tasks_without_configs(
api.TaskQuery(jobKeys={job_key},
statuses={api.ScheduleStatus.RUNNING}))
assert len(res.tasks) == len(all_instances)
for t in res.tasks:
_, _, run_id = t.assignedTask.taskId.rsplit("-", 2)
assert len(t.assignedTask.task.metadata) == 2
if t.assignedTask.instanceId in v1r1:
# version 1, run 1
assert run_id == "1"
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, (
"unexpected metadata %s for affected instances" % m)
elif t.assignedTask.instanceId in v1r2:
# version 1, run 2
assert run_id == "2"
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, (
"unexpected metadata %s for affected instances" % m)
elif t.assignedTask.instanceId in v1r3:
# version 1, run 3
assert run_id == "3"
for m in t.assignedTask.task.metadata:
if m.key == "test_key_1":
assert m.value == "test_value_1"
elif m.key == "test_key_2":
assert m.value == "test_value_2"
else:
assert False, (
"unexpected metadata %s for affected instances" % m)
elif t.assignedTask.instanceId in v2r2:
# version 2, run 2
assert run_id == "2"
for m in t.assignedTask.task.metadata:
if m.key == "test_key_11":
assert m.value == "test_value_11"
elif m.key == "test_key_22":
assert m.value == "test_value_22"
else:
assert False, (
"unexpected metadata %s for affected instances" % m)
else:
assert False, ("unexpected instance id %s" %
t.assignedTask.instanceId)
