10.2. 恢复过程

流程

1. 运行命令 generator command_generator_vars 来生成 restore.yml。

   注意

   在 Linux 上，命令生成器创建的任何文件或目录默认归 root:root 所有。要更改文件和目录的所有权，您可以在创建文件后运行 sudo chmod 命令。如需更多信息，请阅读 技术说明。

   docker run --rm -v $(pwd)/command_generator_data:/data $IMAGE command_generator_vars gcp_restore_deployment --output-data-file /data/restore.yml

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2. 运行此命令后，会创建一个 $(pwd)/command_generator_data/restore.yml 模板文件。此模板文件类似于以下内容：

   ===============================================
   Playbook: gcp_restore_deployment
   Description: This playbook is used to restore the Ansible Automation Platform from GCP Marketplace environment from a backup.
   -----------------------------------------------
   This playbook is used to restore the Ansible Automation Platform from GCP Marketplace environment from a backup.
   For more information regarding backup and restore, visit our official documentation -
   https://docs.redhat.com/en/documentation/ansible_on_clouds/2.x/html/red_hat_ansible_automation_platform_from_gcp_marketplace_guide/index
   
   -----------------------------------------------
   Command generator template:
   
   docker run --rm -v <local_data_file_directory>:/data $IMAGE command_generator gcp_restore_deployment --data-file /data/restore.yml

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   模板类似于以下内容：

   gcp_restore_deployment:
     cloud_credentials_path:
     deployment_name:
     extra_vars:
       backup_name:
       gcp_bucket_backup_name:
       gcp_cloud_sql_peering_network:
       gcp_compute_region:
       gcp_compute_zone:
       gcp_controller_internal_ip_address:
       gcp_existing_vpc:
       gcp_filestore_ip_range:
       gcp_hub_internal_ip_address:

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流程

1. 运行命令生成器。

   $ docker run --rm -v $(pwd)/command_generator_data:/data $IMAGE command_generator gcp_restore_deployment --data-file /data/restore.yml

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   这会生成一个包含所有所需卷、环境变量和参数的新命令。

   生成的命令类似如下：

   docker run --rm --env PLATFORM=GCP -v <local_credential_file>:/home/runner/.gcp/credentials:ro \
   --env ANSIBLE_CONFIG=../gcp-ansible.cfg --env DEPLOYMENT_NAME=<deployment_name> --env GENERATE_INVENTORY=true -\
   -env CHECK_GENERATED_INVENTORY=false  $IMAGE redhat.ansible_on_clouds.gcp_restore_deployment \
   -e 'gcp_service_account_credentials_json_path=/home/runner/.gcp/credentials  \
   gcp_deployment_name=<deployment_name> gcp_compute_region=<region> gcp_compute_zone=<zone> \
   gcp_bucket_backup_name=<bucket> backup_name=<backup_name> gcp_existing_vpc=<existing_vpc>'

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2. 运行生成的命令。

   $ docker run --rm --env PLATFORM=GCP -v <local_credential_file>:/home/runner/.gcp/credentials:ro \
   --env ANSIBLE_CONFIG=../gcp-ansible.cfg  $IMAGE redhat.ansible_on_clouds.gcp_restore_deployment \
   -e 'gcp_service_account_credentials_json_path=/home/runner/.gcp/credentials  \
   gcp_deployment_name=<former_deployment_name> gcp_restored_deployment_name=<new_deployment_name> \
   gcp_compute_region=<region> gcp_compute_zone=<zone> gcp_bucket_backup_name=<bucket> gcp_existing_vpc=False'

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3. playbook 完成后，输出类似于以下内容：

   TASK [redhat.ansible_on_clouds.standalone_gcp_restore : Display internal IP addresses] ***
   ok: [localhost] =>
     msg:
     - 'Hub        internal IP: 192.168.240.21'
     - 'Controller internal IP: 192.168.240.20'
   
   PLAY RECAP *********************************************************************
   localhost                  : ok=33   changed=8    unreachable=0    failed=0    skipped=6    rescued=0    ignored=2

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