b685ac44e0
Including tasks has a performance penalty when compared with importing tasks. If the include has a condition associated with it, then the overhead of the include may be lower than the overhead of skipping all imported tasks. For unconditionally included tasks, switching to import_tasks provides a clear benefit. Benchmarking of include vs. import is available at [1]. This change switches from include_tasks to import_tasks where there is no condition applied to the include. [1] https://github.com/stackhpc/ansible-scaling/blob/master/doc/include-and-import.md#task-include-and-import Partially-Implements: blueprint performance-improvements Change-Id: Ia45af4a198e422773d9f009c7f7b2e32ce9e3b97
33 lines
887 B
YAML
33 lines
887 B
YAML
---
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# NOTE (duonghq): I break config into 2 phases to prevent new version
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# of service start if node or process in node crash accidentally.
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- include_tasks: config.yml
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when: inventory_hostname == groups["cinder-api"][0]
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- import_tasks: bootstrap_service.yml
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- import_tasks: config.yml
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- name: Flush handlers
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meta: flush_handlers
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- name: Running Cinder online schema migration
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vars:
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cinder_api: "{{ cinder_services['cinder-api'] }}"
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become: true
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kolla_docker:
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action: "start_container"
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common_options: "{{ docker_common_options }}"
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detach: False
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environment:
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KOLLA_OSM:
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KOLLA_CONFIG_STRATEGY: "{{ config_strategy }}"
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image: "{{ cinder_api.image }}"
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labels:
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BOOTSTRAP:
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name: "bootstrap_cinder"
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restart_policy: no
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volumes: "{{ cinder_api.volumes }}"
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run_once: True
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delegate_to: "{{ groups[cinder_api.group][0] }}"
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