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__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(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__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__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)
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__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__get_config_summary__with_pinned_instances(client):
"""
test pinned instance update which divides instances to two sets of
configs, and verify getConfigSummary endpoint returns the correct
result.
"""
all_instances = set(range(10))
# start a regular update
job_key = start_job_update(
client,
"test_dc_labrat_large_job.yaml",
"start job update test/dc/labrat_large_job",
)
tasks = get_running_tasks(client, job_key)
assert len(tasks) == 10
# 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
tasks = get_running_tasks(client, job_key)
assert len(tasks) == 10
res = client.get_config_summary(job_key)
assert len(res.summary.groups) == 2
for group in res.summary.groups:
instances = set(expand_instance_range(group.instances))
if instances == update_instances:
# instances updated in the second update
assert len(group.config.metadata) == 2
for m in group.config.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 instances == all_instances - update_instances:
# instances updated from the first update
assert len(group.config.metadata) == 2
for m in group.config.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 instance range: %s" % group.instances
