openstack
/
heat
Code Issues Proposed changes

Don't repeatedly overwrite definitions in RG rolling update

Browse Source 
On each batch, we were returning the names of all the resources that had
been added/updated on previous batches, as well as the ones to add/update
in this batch. This patch changes it so we only return the names of the
resources to be added/updated in this batch. This should result in no
change in behaviour, since the previously-updated resources will retain
their existing (updated) definition.

Change-Id: I4879303ec0ae74bfe929429fd8844bb37d30cf13
Partially-Implements: blueprint scaling-group-common
changes/33/217433/4
Zane Bitter 8 years ago committed by Steve Baker
parent 09bc1d2a95
commit 69e44dbb17
2 changed files with 51 additions and 46 deletions
Show Stats Download Patch File Download Diff File

5
heat/engine/resources/openstack/heat/resource_group.py
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@ -529,11 +529,12 @@ class ResourceGroup(stack_resource.StackResource):
high_water = new_cap
new_names = list(self._resource_names(high_water))
create_names = new_names[high_water - (new_cap - init_cap):]
num_created = max(new_cap - curr_cap, 0)
create_names = new_names[high_water - num_created:]
num_updates = total_new - max(new_cap - curr_cap, 0)
upd_start = targ_cap - (updated + num_updates)
upd_end = targ_cap
upd_end = targ_cap - updated
update_names = new_names[upd_start:upd_end]
yield (new_cap, total_new,

92
heat/tests/test_resource_group.py
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@ -1072,59 +1072,59 @@ class TestGetBatches(common.HeatTestCase):
('4_4_1_0', dict(targ_cap=4, init_cap=4, bat_size=1, min_serv=0,
batches=[
(4, 1, ['4']),
(4, 1, ['4', '3']),
(4, 1, ['4', '3', '2']),
(4, 1, ['4', '3', '2', '1']),
(4, 1, ['3']),
(4, 1, ['2']),
(4, 1, ['1']),
])),
('4_4_1_4', dict(targ_cap=4, init_cap=4, bat_size=1, min_serv=4,
batches=[
(5, 1, ['5']),
(5, 1, ['5', '4']),
(5, 1, ['5', '4', '3']),
(5, 1, ['5', '4', '3', '2']),
(5, 1, ['5', '4', '3', '2', '1']),
(5, 1, ['4']),
(5, 1, ['3']),
(5, 1, ['2']),
(5, 1, ['1']),
])),
('4_4_1_5', dict(targ_cap=4, init_cap=4, bat_size=1, min_serv=5,
batches=[
(5, 1, ['5']),
(5, 1, ['5', '4']),
(5, 1, ['5', '4', '3']),
(5, 1, ['5', '4', '3', '2']),
(5, 1, ['5', '4', '3', '2', '1']),
(5, 1, ['4']),
(5, 1, ['3']),
(5, 1, ['2']),
(5, 1, ['1']),
])),
('4_4_2_0', dict(targ_cap=4, init_cap=4, bat_size=2, min_serv=0,
batches=[
(4, 2, ['4', '3']),
(4, 2, ['4', '3', '2', '1']),
(4, 2, ['2', '1']),
])),
('4_4_2_4', dict(targ_cap=4, init_cap=4, bat_size=2, min_serv=4,
batches=[
(6, 2, ['6', '5']),
(6, 2, ['6', '5', '4', '3']),
(6, 2, ['6', '5', '4', '3', '2', '1']),
(6, 2, ['4', '3']),
(6, 2, ['2', '1']),
])),
('5_5_2_0', dict(targ_cap=5, init_cap=5, bat_size=2, min_serv=0,
batches=[
(5, 2, ['5', '4']),
(5, 2, ['5', '4', '3', '2']),
(5, 1, ['5', '4', '3', '2', '1']),
(5, 2, ['3', '2']),
(5, 1, ['1']),
])),
('5_5_2_4', dict(targ_cap=5, init_cap=5, bat_size=2, min_serv=4,
batches=[
(6, 2, ['6', '5']),
(6, 2, ['6', '5', '4', '3']),
(6, 2, ['6', '5', '4', '3', '2', '1']),
(6, 2, ['4', '3']),
(6, 2, ['2', '1']),
])),
('3_3_2_0', dict(targ_cap=3, init_cap=3, bat_size=2, min_serv=0,
batches=[
(3, 2, ['3', '2']),
(3, 1, ['3', '2', '1']),
(3, 1, ['1']),
])),
('3_3_2_4', dict(targ_cap=3, init_cap=3, bat_size=2, min_serv=4,
batches=[
(5, 2, ['5', '4']),
(5, 2, ['5', '4', '3', '2']),
(4, 1, ['4', '3', '2', '1']),
(5, 2, ['3', '2']),
(4, 1, ['1']),
])),
('4_4_4_0', dict(targ_cap=4, init_cap=4, bat_size=4, min_serv=0,
batches=[
@ -1137,81 +1137,81 @@ class TestGetBatches(common.HeatTestCase):
('4_4_4_1', dict(targ_cap=4, init_cap=4, bat_size=4, min_serv=1,
batches=[
(5, 4, ['5', '4', '3', '2']),
(4, 1, ['4', '3', '2', '1']),
(4, 1, ['1']),
])),
('4_4_6_1', dict(targ_cap=4, init_cap=4, bat_size=6, min_serv=1,
batches=[
(5, 4, ['5', '4', '3', '2']),
(4, 1, ['4', '3', '2', '1']),
(4, 1, ['1']),
])),
('4_4_4_2', dict(targ_cap=4, init_cap=4, bat_size=4, min_serv=2,
batches=[
(6, 4, ['6', '5', '4', '3']),
(4, 2, ['4', '3', '2', '1']),
(4, 2, ['2', '1']),
])),
('4_4_4_4', dict(targ_cap=4, init_cap=4, bat_size=4, min_serv=4,
batches=[
(8, 4, ['8', '7', '6', '5']),
(8, 4, ['8', '7', '6', '5', '4', '3', '2', '1']),
(8, 4, ['4', '3', '2', '1']),
])),
('4_4_5_6', dict(targ_cap=4, init_cap=4, bat_size=5, min_serv=6,
batches=[
(8, 4, ['8', '7', '6', '5']),
(8, 4, ['8', '7', '6', '5', '4', '3', '2', '1']),
(8, 4, ['4', '3', '2', '1']),
])),
('4_7_1_0', dict(targ_cap=4, init_cap=7, bat_size=1, min_serv=0,
batches=[
(4, 1, ['4']),
(4, 1, ['4', '3']),
(4, 1, ['4', '3', '2']),
(4, 1, ['4', '3', '2', '1']),
(4, 1, ['3']),
(4, 1, ['2']),
(4, 1, ['1']),
])),
('4_7_1_4', dict(targ_cap=4, init_cap=7, bat_size=1, min_serv=4,
batches=[
(5, 1, ['4']),
(5, 1, ['4', '3']),
(5, 1, ['4', '3', '2']),
(5, 1, ['4', '3', '2', '1']),
(5, 1, ['3']),
(5, 1, ['2']),
(5, 1, ['1']),
])),
('4_7_1_5', dict(targ_cap=4, init_cap=7, bat_size=1, min_serv=5,
batches=[
(5, 1, ['4']),
(5, 1, ['4', '3']),
(5, 1, ['4', '3', '2']),
(5, 1, ['4', '3', '2', '1']),
(5, 1, ['3']),
(5, 1, ['2']),
(5, 1, ['1']),
])),
('4_7_2_0', dict(targ_cap=4, init_cap=7, bat_size=2, min_serv=0,
batches=[
(4, 2, ['4', '3']),
(4, 2, ['4', '3', '2', '1']),
(4, 2, ['2', '1']),
])),
('4_7_2_4', dict(targ_cap=4, init_cap=7, bat_size=2, min_serv=4,
batches=[
(6, 2, ['4', '3']),
(6, 2, ['4', '3', '2', '1']),
(6, 2, ['2', '1']),
])),
('5_7_2_0', dict(targ_cap=5, init_cap=7, bat_size=2, min_serv=0,
batches=[
(5, 2, ['5', '4']),
(5, 2, ['5', '4', '3', '2']),
(5, 1, ['5', '4', '3', '2', '1']),
(5, 2, ['3', '2']),
(5, 1, ['1']),
])),
('5_7_2_4', dict(targ_cap=5, init_cap=7, bat_size=2, min_serv=4,
batches=[
(6, 2, ['5', '4']),
(6, 2, ['5', '4', '3', '2']),
(5, 1, ['5', '4', '3', '2', '1']),
(6, 2, ['3', '2']),
(5, 1, ['1']),
])),
('4_7_4_4', dict(targ_cap=4, init_cap=7, bat_size=4, min_serv=4,
batches=[
(8, 4, ['8', '4', '3', '2']),
(5, 1, ['4', '3', '2', '1']),
(5, 1, ['1']),
])),
('4_7_5_6', dict(targ_cap=4, init_cap=7, bat_size=5, min_serv=6,
batches=[
(8, 4, ['8', '4', '3', '2']),
(5, 1, ['4', '3', '2', '1']),
(5, 1, ['1']),
])),
]
@ -1236,6 +1236,8 @@ class TestGetBatches(common.HeatTestCase):
self.grp._get_resources = mock.Mock(return_value=resources)
self.grp._do_prop_replace = mock.Mock(side_effect=lambda g, d: d)
all_updated_names = set()
for size, max_upd, names in self.batches:
template = self.grp._assemble_for_rolling_update(size,
@ -1246,7 +1248,9 @@ class TestGetBatches(common.HeatTestCase):
expected_names = set(map(str, range(1, size + 1)))
self.assertEqual(expected_names, set(res_dict))
all_updated_names &= expected_names
all_updated_names |= set(names)
updated = set(n for n, v in res_dict.items() if v is True)
self.assertEqual(set(names), updated)
self.assertEqual(all_updated_names, updated)
resources[:] = sorted(res_dict.items(), key=lambda i: int(i[0]))

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