kubeasz/roles/kube-ovn/tasks/main.yml

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- name: 创建相关目录
file: name={{ item }} state=directory
with_items:
- /etc/cni/net.d
- /opt/kube/images
- /opt/kube/kube-ovn
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- name: 配置 crd.yaml 文件
template: src=crd.yaml.j2 dest=/opt/kube/kube-ovn/crd.yaml
- name: 配置 kube-ovn.yaml 文件
template: src=kube-ovn.yaml.j2 dest=/opt/kube/kube-ovn/kube-ovn.yaml
- name: 配置 ovn.yaml 文件
template: src=ovn.yaml.j2 dest=/opt/kube/kube-ovn/ovn.yaml
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# 【可选】推送离线镜像,可以忽略执行错误
- block:
- name: 检查是否已下载离线kube_ovn镜像
command: "ls {{ base_dir }}/down"
register: download_info
connection: local
run_once: true
- name: 尝试推送离线docker 镜像(若执行失败,可忽略)
copy: src={{ base_dir }}/down/{{ item }} dest=/opt/kube/images/{{ item }}
when: 'item in download_info.stdout'
with_items:
- "pause_3.1.tar"
- "{{ kube_ovn_offline }}"
ignore_errors: true
- name: 获取kube_ovn离线镜像推送情况
command: "ls /opt/kube/images"
register: image_info
# 如果目录下有离线镜像就把它导入到node节点上
- name: 导入 kube_ovn的离线镜像若执行失败可忽略
shell: "{{ bin_dir }}/docker load -i /opt/kube/images/{{ item }}"
with_items:
- "pause_3.1.tar"
- "{{ kube_ovn_offline }}"
ignore_errors: true
when: "item in image_info.stdout and CONTAINER_RUNTIME == 'docker'"
- name: 导入 kube_ovn的离线镜像若执行失败可忽略
shell: "{{ bin_dir }}/ctr -n=k8s.io images import /opt/kube/images/{{ item }}"
with_items:
- "pause_3.1.tar"
- "{{ kube_ovn_offline }}"
ignore_errors: true
when: "item in image_info.stdout and CONTAINER_RUNTIME == 'containerd'"
# 只需单节点执行一次
- name: 运行 kube-ovn网络
shell: "{{ bin_dir }}/kubectl label node {{ OVN_DB_NODE }} kube-ovn/role=master --overwrite && \
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{{ bin_dir }}/kubectl apply -f /opt/kube/kube-ovn/crd.yaml && sleep 5 && \
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{{ bin_dir }}/kubectl apply -f /opt/kube/kube-ovn/ovn.yaml && sleep 5 && \
{{ bin_dir }}/kubectl apply -f /opt/kube/kube-ovn/kube-ovn.yaml"
run_once: true
# 删除原有cni配置
- name: 删除默认cni配置
file: path=/etc/cni/net.d/10-default.conf state=absent
# 等待网络插件部署成功,视下载镜像速度而定
- name: 轮询等待kube-ovn 运行,视下载镜像速度而定
shell: "{{ bin_dir }}/kubectl get pod -n kube-ovn -o wide|grep 'kube-ovn-cni'|grep ' {{ inventory_hostname }} '|awk '{print $3}'"
register: pod_status
until: pod_status.stdout == "Running"
retries: 15
delay: 8
ignore_errors: true