安装
目录
介绍
Connectors 系统采用模块化架构,包含以下组件:
- Connectors Operator:核心管理组件,负责其他连接器组件的部署和生命周期管理
- ConnectorsCore:必需的核心组件,为所有连接器类型提供基础
- ConnectorsGit:可选组件,添加对 Git 服务(GitHub、GitLab 等)的支持
- ConnectorsOCI:可选组件,添加对容器镜像仓库的支持
本文档提供 Connectors 系统的安装和配置说明。
前提条件
安装前,请确保您具备以下条件:
- 一个 kubernetes 集群
- 已配置好与集群通信的 kubectl CLI
- 集群的管理员权限
- Connectors Operator 在 ACP Operator Hub 上处于
Ready
状态
安装 Connectors Operator
首先安装 Connectors Operator,它负责管理所有其他组件的生命周期。
-
创建 Operator 的命名空间:
kubectl create namespace connectors-operator
-
应用 Operator 订阅 YAML:
cat <<EOF | kubectl apply -f -
apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
annotations:
cpaas.io/target-namespaces: ""
labels:
catalog: platform
name: connectors-operator
namespace: connectors-operator
spec:
channel: alpha
installPlanApproval: Manual
name: connectors-operator
source: platform
sourceNamespace: cpaas-system
EOF
kubectl wait --for=condition=InstallPlanPending subscription.operators.coreos.com/connectors-operator -n connectors-operator
installplanname=$(kubectl get subscription.operators.coreos.com -n connectors-operator connectors-operator -ojsonpath='{.status.installPlanRef.name}')
kubectl patch installplan -n connectors-operator ${installplanname} --type='merge' -p='{"spec":{"approved":true}}'
-
验证 Operator 是否运行:
kubectl get pods -n connectors-operator
您应看到 connectors-operator pod 正在运行:
NAME READY STATUS RESTARTS AGE
connectors-operator-controller-manager-xxxxxx-xxxxx 2/2 Running 0 1m
-
验证自定义资源定义(CRDs)是否已创建:
kubectl get crds | grep connectors
您应看到包括以下 CRDs:
connectorscore.operator.connectors.alauda.io
connectorsgit.operator.connectors.alauda.io
connectorsoci.operator.connectors.alauda.io
安装 ConnectorsCore
Operator 运行后,安装必需的 ConnectorsCore 组件:
-
创建连接器组件的命名空间(如果尚未创建):
kubectl create namespace connectors-system
-
创建 ConnectorsCore 自定义资源:
cat <<EOF | kubectl apply -f -
apiVersion: operator.connectors.alauda.io/v1alpha1
kind: ConnectorsCore
metadata:
name: connectors-core
namespace: connectors-system
spec: {}
EOF
-
监控部署进度:
kubectl get connectorscore -n connectors-system
-
等待状态显示 ConnectorsCore 已就绪:
kubectl wait --for=condition=Ready connectorscore/connectors-core -n connectors-system --timeout=300s
-
验证核心 pod 是否运行:
kubectl get pods -n connectors-system
您应看到核心组件包括:
NAME READY STATUS RESTARTS AGE
connectors-api-xxxxxx 1/1 Running 0 2m
connectors-controller-manager-xxxxxx 1/1 Running 0 2m
connectors-proxy-xxxxxx 1/1 Running 0 2m
-
验证连接器功能所需的 CRDs 是否已安装:
kubectl get crds | grep connectors.alauda.io
您应看到:
connectorclasses.connectors.alauda.io
connectors.connectors.alauda.io
安装 ConnectorsGit(可选)
若需添加对 Git 服务(如 GitHub、GitLab 等)的支持,安装 ConnectorsGit 组件:
-
创建 ConnectorsGit 自定义资源:
cat <<EOF | kubectl apply -f -
apiVersion: operator.connectors.alauda.io/v1alpha1
kind: ConnectorsGit
metadata:
name: connectors-git
namespace: connectors-system
spec: {}
EOF
-
监控部署进度:
kubectl get connectorsgit -n connectors-system
-
等待状态显示 ConnectorsGit 已就绪:
kubectl wait --for=condition=Ready connectorsgit/connectors-git -n connectors-system --timeout=300s
-
验证 Git 插件是否运行:
kubectl get pods -n connectors-system | grep git
您应看到:
NAME READY STATUS RESTARTS AGE
connectors-git-plugin-xxxxxx 1/1 Running 0 1m
-
验证 Git ConnectorClass 是否已创建:
kubectl get connectorclass git
您应看到:
NAME READY AGE
git True 1m
安装 ConnectorsOCI(可选)
若需添加对容器镜像仓库(如 Harbor、Docker Registry 等)的支持,安装 ConnectorsOCI 组件:
-
创建 ConnectorsOCI 自定义资源:
cat <<EOF | kubectl apply -f -
apiVersion: operator.connectors.alauda.io/v1alpha1
kind: ConnectorsOCI
metadata:
name: connectors-oci
namespace: connectors-system
spec: {}
EOF
-
监控部署进度:
kubectl get connectorsoci -n connectors-system
-
等待状态显示 ConnectorsOCI 已就绪:
kubectl wait --for=condition=Ready connectorsoci/connectors-oci -n connectors-system --timeout=300s
-
验证 OCI 插件是否运行:
kubectl get pods -n connectors-system | grep oci
-
验证 OCI ConnectorClass 是否已创建:
kubectl get connectorclass oci
卸载 Connectors
卸载 Connectors 系统时,请按安装的相反顺序删除组件。
-
先删除可选组件(如果已安装):
# 删除 ConnectorsOCI
kubectl delete connectorsoci --all -n connectors-system
# 删除 ConnectorsGit
kubectl delete connectorsgit --all -n connectors-system
-
删除核心组件:
kubectl delete connectorscore --all -n connectors-system
-
删除 Operator:
kubectl delete -n connectors-operator subscription.operators.coreos.com/connectors-operator
-
删除 CRDs:
警告:这将删除所有关于 connectors 的用户数据
kubectl delete crd connectors.connectors.alauda.io
kubectl delete crd connectorclasses.connectors.alauda.io
kubectl delete crd connectorscore.operator.connectors.alauda.io
kubectl delete crd connectorsgit.operator.connectors.alauda.io
kubectl delete crd connectorsoci.operator.connectors.alauda.io
-
删除命名空间:
kubectl delete namespace connectors-system
kubectl delete namespace connectors-operator
自定义配置
您可以自定义连接器组件的部署,以更好地适应您的环境。所有连接器组件共享类似的配置结构。
ConnectorsCore 配置
创建 ConnectorsCore 资源时,可以指定自定义配置:
apiVersion: operator.connectors.alauda.io/v1alpha1
kind: ConnectorsCore
metadata:
name: connectors-core
namespace: connectors-system
spec:
# 配置特定工作负载
workloads:
- name: connectors-api
replicas: 2
template:
spec:
containers:
- name: api
imagePullPolicy: Always
resources:
limits:
cpu: 500m
memory: 512Mi
requests:
cpu: 200m
memory: 256Mi
securityContext:
readOnlyRootFilesystem: true
nodeSelector:
kubernetes.io/os: linux
- name: connectors-controller-manager
replicas: 1
template:
spec:
containers:
- name: manager
resources:
limits:
cpu: 300m
memory: 512Mi
- name: connectors-proxy
replicas: 2
template:
spec:
containers:
- name: proxy
resources:
limits:
cpu: 200m
memory: 256Mi
ConnectorsGit 配置
Git 插件的自定义配置:
apiVersion: operator.connectors.alauda.io/v1alpha1
kind: ConnectorsGit
metadata:
name: connectors-git
namespace: connectors-system
spec:
# 配置工作负载
workloads:
- name: connectors-git-plugin
replicas: 2
template:
spec:
containers:
- name: plugin
resources:
limits:
cpu: 300m
memory: 256Mi
requests:
cpu: 100m
memory: 128Mi
ConnectorsOCI 配置
OCI 插件的自定义配置:
apiVersion: operator.connectors.alauda.io/v1alpha1
kind: ConnectorsOCI
metadata:
name: connectors-oci
namespace: connectors-system
spec:
# 配置工作负载
workloads:
- name: connectors-oci-plugin
replicas: 2
template:
spec:
containers:
- name: plugin
resources:
limits:
cpu: 300m
memory: 256Mi
requests:
cpu: 100m
memory: 128Mi
其他配置
对于高级部署,您还可以指定:
apiVersion: operator.connectors.alauda.io/v1alpha1
kind: ConnectorsCore
metadata:
name: connectors-core
namespace: connectors-system
spec:
# 指定额外要安装的清单
additionalManifests: "<additional manifests>"
# 其他所需配置