Add scale tests for elasticsearch_kibana
Change-Id: I415877540c56fbf2148bb43f67a6c592d3635a4b
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@ -13,6 +13,7 @@
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# under the License.
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# under the License.
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from fuelweb_test import logger
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from fuelweb_test import logger
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from proboscis import asserts
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from stacklight_tests import base_test
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from stacklight_tests import base_test
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from stacklight_tests.elasticsearch_kibana import plugin_settings
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from stacklight_tests.elasticsearch_kibana import plugin_settings
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@ -32,15 +33,29 @@ class ElasticsearchPluginApi(base_test.PluginApi):
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def get_plugin_vip(self):
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def get_plugin_vip(self):
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return self.helpers.get_plugin_vip(self.settings.vip_name)
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return self.helpers.get_plugin_vip(self.settings.vip_name)
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def check_plugin_online(self):
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def get_elasticsearch_url(self, query=''):
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es_server_ip = self.get_plugin_vip()
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return "http://{}:9200/{}".format(self.get_plugin_vip(), query)
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def get_kibana_url(self):
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return "http://{}:9200/".format(self.get_plugin_vip())
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def check_plugin_online(self):
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logger.debug("Check that Elasticsearch is ready")
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logger.debug("Check that Elasticsearch is ready")
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msg = "Elasticsearch responded with {0}, expected {1}"
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msg = "Elasticsearch responded with {0}, expected {1}"
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self.checkers.check_http_get_response(
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self.checkers.check_http_get_response(
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self.settings.elasticsearch_url.format(es_server_ip), msg=msg)
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self.get_elasticsearch_url(), msg=msg)
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logger.debug("Check that Kibana is running")
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logger.debug("Check that Kibana is running")
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msg = "Kibana responded with {0}, expected {1}"
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msg = "Kibana responded with {0}, expected {1}"
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self.checkers.check_http_get_response(
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self.checkers.check_http_get_response(self.get_kibana_url(), msg=msg)
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self.settings.kibana_url.format(es_server_ip), msg=msg)
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def check_elasticsearch_nodes_count(self, expected_count):
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logger.debug("Get information about Elasticsearch nodes")
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url = self.get_elasticsearch_url(query='_nodes')
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response = self.checkers.check_http_get_response(url)
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nodes_count = len(response.json()['nodes'])
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logger.debug("Check that the number of nodes is equal to the expected")
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msg = ("Expected count of elasticsearch nodes {}, "
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"actual count {}".format(expected_count, nodes_count))
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asserts.assert_equal(expected_count, nodes_count, msg)
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@ -20,6 +20,3 @@ version = '0.9.0'
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role_name = ['elasticsearch_kibana']
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role_name = ['elasticsearch_kibana']
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vip_name = 'es_vip_mgmt'
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vip_name = 'es_vip_mgmt'
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plugin_path = settings.ELASTICSEARCH_KIBANA_PLUGIN_PATH
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plugin_path = settings.ELASTICSEARCH_KIBANA_PLUGIN_PATH
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elasticsearch_url = "http://{}:9200/"
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kibana_url = "http://{}/"
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164
stacklight_tests/elasticsearch_kibana/test_system.py
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164
stacklight_tests/elasticsearch_kibana/test_system.py
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@ -0,0 +1,164 @@
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# Copyright 2016 Mirantis, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# 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, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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from proboscis import test
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from fuelweb_test.helpers.decorators import log_snapshot_after_test
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from stacklight_tests.elasticsearch_kibana import api
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@test(groups=["plugins"])
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class TestNodesElasticsearshPlugin(api.ElasticsearchPluginApi):
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"""Class for system tests for Elasticsearch-Kibana plugin."""
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@test(depends_on_groups=['deploy_ha_elasticsearch_kibana_plugin'],
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groups=["check_scaling_elasticsearch_kibana", "scaling",
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"elasticsearch_kibana", "system",
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"add_remove_controller_elasticsearch_kibana_plugin"])
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@log_snapshot_after_test
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def add_remove_controller_elasticsearch_kibana_plugin(self):
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"""Verify that the number of controllers can scale up and down
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Scenario:
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1. Revert snapshot with 9 deployed nodes in HA configuration
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2. Remove one controller node and update the cluster
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3. Check that plugin is working
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4. Run OSTF
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5. Add one controller node (return previous state) and
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update the cluster
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6. Check that plugin is working
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7. Run OSTF
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Duration 120m
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"""
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self.env.revert_snapshot("deploy_ha_elasticsearch_kibana_plugin")
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target_node = {'slave-03': ['controller']}
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# NOTE(vgusev): We set "check_services=False" and
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# "should_fail=1" parameters in deploy_cluster_wait and run_ostf
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# methods because after removing one node
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# nova has been keeping it in service list
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# Remove controller
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self.helpers.remove_node_from_cluster(target_node)
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self.check_plugin_online()
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self.helpers.run_ostf(should_fail=1)
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# Add controller
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self.helpers.add_node_to_cluster(target_node)
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self.check_plugin_online()
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self.helpers.run_ostf(should_fail=1)
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self.env.make_snapshot(
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"add_remove_controller_elasticsearch_kibana_plugin")
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@test(depends_on_groups=['deploy_ha_elasticsearch_kibana_plugin'],
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groups=["check_scaling_elasticsearch_kibana", "scaling",
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"elasticsearch_kibana", "system",
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"add_remove_compute_elasticsearch_kibana_plugin"])
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@log_snapshot_after_test
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def add_remove_compute_elasticsearch_kibana_plugin(self):
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"""Verify that the number of computes can scale up and down
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Scenario:
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1. Revert snapshot with 9 deployed nodes in HA configuration
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2. Remove one compute node and update the cluster
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3. Check that plugin is working
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4. Run OSTF
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5. Add one compute node (return previous state) and
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update the cluster
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6. Check that plugin is working
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7. Run OSTF
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Duration 120m
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"""
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self.env.revert_snapshot("deploy_ha_elasticsearch_kibana_plugin")
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target_node = {'slave-04': ['compute', 'cinder']}
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# NOTE(vgusev): We set "check_services=False" and
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# "should_fail=1" parameters in deploy_cluster_wait and run_ostf
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# methods because after removing one node
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# nova has been keeping it in service list
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# Remove compute
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self.helpers.remove_node_from_cluster(target_node)
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self.check_plugin_online()
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self.helpers.run_ostf(should_fail=1)
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# Add compute
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self.helpers.add_node_to_cluster(target_node)
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self.check_plugin_online()
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self.helpers.run_ostf(should_fail=1)
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self.env.make_snapshot(
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"add_remove_compute_elasticsearch_kibana_plugin")
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@test(depends_on_groups=['deploy_ha_elasticsearch_kibana_plugin'],
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groups=["check_scaling_elasticsearch_kibana", "scaling",
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"elasticsearch_kibana", "system",
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"add_remove_node_with_elasticsearch_kibana_plugin"])
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@log_snapshot_after_test
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def add_remove_node_with_elasticsearch_kibana_plugin(self):
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"""Verify that the number of Elasticsearch-Kibana nodes
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can scale up and down
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Scenario:
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1. Revert snapshot with 9 deployed nodes in HA configuration
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2. Remove one Elasticsearch-Kibana node and update the cluster
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3. Check that plugin is working
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4. Run OSTF
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5. Add one Elasticsearch-Kibana node (return previous state) and
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update the cluster
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6. Check that plugin is working
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7. Run OSTF
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Duration 120m
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"""
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self.env.revert_snapshot("deploy_ha_elasticsearch_kibana_plugin")
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self.check_elasticsearch_nodes_count(3)
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target_node = {'slave-07': self.settings.role_name}
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# Remove Elasticsearch-Kibana node
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self.helpers.remove_node_from_cluster(target_node)
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self.check_plugin_online()
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self.check_elasticsearch_nodes_count(2)
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self.fuel_web.run_ostf()
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# Add Elasticsearch-Kibana node
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self.helpers.add_node_to_cluster(target_node)
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self.check_plugin_online()
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self.check_elasticsearch_nodes_count(3)
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self.helpers.run_ostf()
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self.env.make_snapshot(
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"add_remove_node_with_elasticsearch_kibana_plugin")
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