293 lines
10 KiB
Python
293 lines
10 KiB
Python
# Copyright (c) 2015 Mirantis Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import mock
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import six
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from sahara import conductor as cond
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from sahara import context
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from sahara.plugins import recommendations_utils as ru
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from sahara.tests.unit import base as b
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conductor = cond.API
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class Configs(object):
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def __init__(self, configs):
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self.configs = configs
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def to_dict(self):
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return self.configs
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class FakeObject(object):
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def __init__(self, **kwargs):
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for attr in six.iterkeys(kwargs):
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setattr(self, attr, kwargs.get(attr))
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class TestProvidingRecommendations(b.SaharaWithDbTestCase):
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@mock.patch('sahara.utils.openstack.nova.get_flavor')
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def test_get_recommended_node_configs_medium_flavor(
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self, fake_flavor):
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ng = FakeObject(flavor_id="fake_flavor", node_configs=Configs({}))
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cl = FakeObject(cluster_configs=Configs({}))
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fake_flavor.return_value = FakeObject(ram=4096, vcpus=2)
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observed = ru.HadoopAutoConfigsProvider(
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{}, [], cl, False)._get_recommended_node_configs(ng)
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self.assertEqual({
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'mapreduce.reduce.memory.mb': 768,
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'mapreduce.map.java.opts': '-Xmx307m',
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'mapreduce.map.memory.mb': 384,
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'mapreduce.reduce.java.opts': '-Xmx614m',
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'yarn.app.mapreduce.am.resource.mb': 384,
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'yarn.app.mapreduce.am.command-opts': '-Xmx307m',
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'mapreduce.task.io.sort.mb': 153,
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'yarn.nodemanager.resource.memory-mb': 3072,
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'yarn.scheduler.minimum-allocation-mb': 384,
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'yarn.scheduler.maximum-allocation-mb': 3072,
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'yarn.nodemanager.vmem-check-enabled': 'false'
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}, observed)
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@mock.patch('sahara.utils.openstack.nova.get_flavor')
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def test_get_recommended_node_configs_small_flavor(
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self, fake_flavor):
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ng = FakeObject(flavor_id="fake_flavor", node_configs=Configs({}))
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cl = FakeObject(cluster_configs=Configs({}))
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fake_flavor.return_value = FakeObject(ram=2048, vcpus=1)
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observed = ru.HadoopAutoConfigsProvider(
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{'node_configs': {}, 'cluster_configs': {}}, [], cl, False,
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)._get_recommended_node_configs(ng)
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self.assertEqual({
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'mapreduce.reduce.java.opts': '-Xmx409m',
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'yarn.app.mapreduce.am.resource.mb': 256,
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'mapreduce.reduce.memory.mb': 512,
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'mapreduce.map.java.opts': '-Xmx204m',
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'yarn.app.mapreduce.am.command-opts': '-Xmx204m',
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'mapreduce.task.io.sort.mb': 102,
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'mapreduce.map.memory.mb': 256,
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'yarn.nodemanager.resource.memory-mb': 2048,
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'yarn.scheduler.minimum-allocation-mb': 256,
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'yarn.nodemanager.vmem-check-enabled': 'false',
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'yarn.scheduler.maximum-allocation-mb': 2048,
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}, observed)
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def test_merge_configs(self):
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provider = ru.HadoopAutoConfigsProvider({}, None, None, False)
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initial_configs = {
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'cat': {
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'talk': 'meow',
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},
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'bond': {
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'name': 'james'
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}
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}
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extra_configs = {
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'dog': {
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'talk': 'woof'
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},
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'bond': {
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'extra_name': 'james bond'
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}
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}
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expected = {
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'cat': {
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'talk': 'meow',
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},
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'dog': {
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'talk': 'woof'
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},
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'bond': {
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'name': 'james',
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'extra_name': 'james bond'
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}
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}
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self.assertEqual(
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expected, provider._merge_configs(initial_configs, extra_configs))
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@mock.patch('sahara.utils.openstack.nova.get_flavor')
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@mock.patch('sahara.plugins.recommendations_utils.conductor.'
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'node_group_update')
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@mock.patch('sahara.plugins.recommendations_utils.conductor.'
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'cluster_update')
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def test_apply_recommended_configs(self, cond_cluster, cond_node_group,
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fake_flavor):
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class TestProvider(ru.HadoopAutoConfigsProvider):
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def get_datanode_name(self):
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return "dog_datanode"
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fake_flavor.return_value = FakeObject(ram=2048, vcpus=1)
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to_tune = {
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'cluster_configs': {
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'dfs.replication': ('dfs', 'replica')
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},
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'node_configs': {
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'mapreduce.task.io.sort.mb': ('bond', 'extra_name')
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}
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}
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fake_plugin_configs = [
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FakeObject(applicable_target='dfs', name='replica',
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default_value=3)]
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fake_ng = FakeObject(
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use_autoconfig=True,
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count=2,
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node_processes=['dog_datanode'],
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flavor_id='fake_id',
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node_configs=Configs({
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'bond': {
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'name': 'james'
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}
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})
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)
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fake_cluster = FakeObject(
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cluster_configs=Configs({
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'cat': {
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'talk': 'meow',
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}
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}),
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node_groups=[fake_ng],
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use_autoconfig=True,
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extra=Configs({})
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)
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v = TestProvider(
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to_tune, fake_plugin_configs, fake_cluster, False)
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v.apply_recommended_configs()
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self.assertEqual([mock.call(context.ctx(), fake_cluster, {
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'cluster_configs': {
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'cat': {
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'talk': 'meow'
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},
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'dfs': {
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'replica': 2
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}
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}
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}), mock.call(
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context.ctx(), fake_cluster,
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{'extra': {'auto-configured': True}})],
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cond_cluster.call_args_list)
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self.assertEqual([mock.call(context.ctx(), fake_ng, {
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'node_configs': {
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'bond': {
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'name': 'james',
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'extra_name': 102
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}
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}
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})], cond_node_group.call_args_list)
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@mock.patch('sahara.utils.openstack.nova.get_flavor')
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@mock.patch('sahara.plugins.recommendations_utils.conductor.'
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'node_group_update')
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@mock.patch('sahara.plugins.recommendations_utils.conductor.'
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'cluster_update')
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def test_apply_recommended_configs_no_updates(
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self, cond_cluster, cond_node_group, fake_flavor):
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fake_flavor.return_value = FakeObject(ram=2048, vcpus=1)
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to_tune = {
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'cluster_configs': {
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'dfs.replication': ('dfs', 'replica')
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},
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'node_configs': {
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'mapreduce.task.io.sort.mb': ('bond', 'extra_name')
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}
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}
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fake_plugin_configs = [
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FakeObject(applicable_target='dfs', name='replica',
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default_value=3)]
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fake_ng = FakeObject(
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use_autoconfig=True,
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count=2,
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node_processes=['dog_datanode'],
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flavor_id='fake_id',
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node_configs=Configs({
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'bond': {
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'extra_name': 'james bond'
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}
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})
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)
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fake_cluster = FakeObject(
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cluster_configs=Configs({
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'dfs': {
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'replica': 1
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}
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}),
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node_groups=[fake_ng],
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use_autoconfig=True,
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extra=Configs({})
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)
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v = ru.HadoopAutoConfigsProvider(
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to_tune, fake_plugin_configs, fake_cluster, False)
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v.apply_recommended_configs()
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self.assertEqual(0, cond_node_group.call_count)
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self.assertEqual(
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[mock.call(context.ctx(), fake_cluster,
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{'extra': {'auto-configured': True}})],
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cond_cluster.call_args_list)
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def test_correct_use_autoconfig_value(self):
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ctx = context.ctx()
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ngt1 = conductor.node_group_template_create(ctx, {
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'name': 'ngt1',
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'flavor_id': '1',
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'plugin_name': 'vanilla',
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'hadoop_version': '1'
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})
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ngt2 = conductor.node_group_template_create(ctx, {
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'name': 'ngt2',
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'flavor_id': '2',
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'plugin_name': 'vanilla',
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'hadoop_version': '1',
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'use_autoconfig': False
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})
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self.assertTrue(ngt1.use_autoconfig)
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self.assertFalse(ngt2.use_autoconfig)
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clt = conductor.cluster_template_create(ctx, {
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'name': "clt1",
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'plugin_name': 'vanilla',
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'hadoop_version': '1',
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'node_groups': [
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{
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'count': 3,
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"node_group_template_id": ngt1.id
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},
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{
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'count': 1,
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'node_group_template_id': ngt2.id
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}
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],
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'use_autoconfig': False
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})
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cluster = conductor.cluster_create(ctx, {
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'name': 'stupid',
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'cluster_template_id': clt.id
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})
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self.assertFalse(cluster.use_autoconfig)
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for ng in cluster.node_groups:
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if ng.name == 'ngt1':
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self.assertTrue(ng.use_autoconfig)
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else:
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self.assertFalse(ng.use_autoconfig)
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@mock.patch('sahara.plugins.recommendations_utils.conductor.'
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'cluster_update')
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def test_not_autonconfigured(self, cluster_update):
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fake_cluster = FakeObject(extra=Configs({}))
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v = ru.HadoopAutoConfigsProvider({}, [], fake_cluster, True)
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v.apply_recommended_configs()
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self.assertEqual(0, cluster_update.call_count)
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