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8.4. AWS 中托管集群的灾难恢复

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您可以将托管集群恢复到 Amazon Web Services (AWS) 中的同一区域。例如，当升级管理集群时，需要灾难恢复，且托管集群处于只读状态。

重要

托管的 control plane 只是一个技术预览功能。技术预览功能不受红帽产品服务等级协议（SLA）支持，且功能可能并不完整。红帽不推荐在生产环境中使用它们。这些技术预览功能可以使用户提早试用新的功能，并有机会在开发阶段提供反馈意见。

有关红帽技术预览功能支持范围的更多信息，请参阅技术预览功能支持范围。

灾难恢复过程涉及以下步骤：

  1. 在源集群中备份托管集群
  2. 在目标管理集群中恢复托管集群
  3. 从源管理集群中删除托管的集群

您的工作负载在此过程中保持运行。集群 API 可能会在一段时间内不可用，但不会影响 worker 节点上运行的服务。

重要

源管理集群和目标管理集群必须具有 --external-dns 标志才能维护 API 服务器 URL。这样，服务器 URL 以 https://api-sample-hosted.sample-hosted.aws.openshift.com 结尾。请参见以下示例：

示例：外部 DNS 标记

--external-dns-provider=aws \
--external-dns-credentials=<path_to_aws_credentials_file> \
--external-dns-domain-filter=<basedomain>

如果您没有包含 --external-dns 标志来维护 API 服务器 URL，则无法迁移托管集群。

8.4.1. 备份和恢复过程概述

备份和恢复过程按如下方式工作：

  1. 在管理集群 1 中，您可以将其视为源管理集群，control plane 和 worker 使用 ExternalDNS API 进行交互。可以访问外部 DNS API，并且一个负载均衡器位于管理集群之间。

    显示 worker 访问外部 DNS API 和通过负载均衡器指向 control plane 的外部 DNS API 图

  2. 您为托管集群执行快照，其中包括 etcd、control plane 和 worker 节点。在此过程中，worker 节点仍然会尝试访问外部 DNS API，即使无法访问它，工作负载正在运行，control plane 存储在本地清单文件中，etcd 会备份到 S3 存储桶。data plane 处于活跃状态，control plane 已暂停。

    298 OpenShift Backup Restore 0123 01

  3. 在管理集群 2 中，您可以将其视为目标管理集群，您可以从 S3 存储桶中恢复 etcd，并从本地清单文件恢复 control plane。在此过程中，外部 DNS API 会停止，托管集群 API 变得不可访问，任何使用 API 的 worker 都无法更新其清单文件，但工作负载仍在运行。

    298 OpenShift Backup Restore 0123 02

  4. 外部 DNS API 可以再次访问，worker 节点使用它来移至管理集群 2。外部 DNS API 可以访问指向 control plane 的负载均衡器。

    298 OpenShift Backup Restore 0123 03

  5. 在管理集群 2 中，control plane 和 worker 节点使用外部 DNS API 进行交互。资源从管理集群 1 中删除，但 etcd 的 S3 备份除外。如果您尝试在 mangagement 集群 1 上再次设置托管集群，它将无法正常工作。

    298 OpenShift Backup Restore 0123 04

8.4.2. 备份托管集群

要在目标管理集群中恢复托管集群，首先需要备份所有相关数据。

流程

  1. 输入以下命令创建 configmap 文件来声明源管理集群： 

    $ oc create configmap mgmt-parent-cluster -n default --from-literal=from=${MGMT_CLUSTER_NAME}

  2. 输入这些命令，在托管集群和节点池中关闭协调： 

    PAUSED_UNTIL="true"
oc patch -n ${HC_CLUSTER_NS} hostedclusters/${HC_CLUSTER_NAME} -p '{"spec":{"pausedUntil":"'${PAUSED_UNTIL}'"}}' --type=merge
oc scale deployment -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} --replicas=0 kube-apiserver openshift-apiserver openshift-oauth-apiserver control-plane-operator
    PAUSED_UNTIL="true"
oc patch -n ${HC_CLUSTER_NS} hostedclusters/${HC_CLUSTER_NAME} -p '{"spec":{"pausedUntil":"'${PAUSED_UNTIL}'"}}' --type=merge
oc patch -n ${HC_CLUSTER_NS} nodepools/${NODEPOOLS} -p '{"spec":{"pausedUntil":"'${PAUSED_UNTIL}'"}}' --type=merge
oc scale deployment -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} --replicas=0 kube-apiserver openshift-apiserver openshift-oauth-apiserver control-plane-operator

  3. 运行此 bash 脚本备份 etcd 并将数据上传到 S3 存储桶：

    提示

    将此脚本嵌套在函数中，并从主功能调用它。 

    # ETCD Backup
ETCD_PODS="etcd-0"
if [ "${CONTROL_PLANE_AVAILABILITY_POLICY}" = "HighlyAvailable" ]; then
  ETCD_PODS="etcd-0 etcd-1 etcd-2"
fi

for POD in ${ETCD_PODS}; do
  # Create an etcd snapshot
  oc exec -it ${POD} -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} -- env ETCDCTL_API=3 /usr/bin/etcdctl --cacert /etc/etcd/tls/client/etcd-client-ca.crt --cert /etc/etcd/tls/client/etcd-client.crt --key /etc/etcd/tls/client/etcd-client.key --endpoints=localhost:2379 snapshot save /var/lib/data/snapshot.db
  oc exec -it ${POD} -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} -- env ETCDCTL_API=3 /usr/bin/etcdctl -w table snapshot status /var/lib/data/snapshot.db

  FILEPATH="/${BUCKET_NAME}/${HC_CLUSTER_NAME}-${POD}-snapshot.db"
  CONTENT_TYPE="application/x-compressed-tar"
  DATE_VALUE=`date -R`
  SIGNATURE_STRING="PUT\n\n${CONTENT_TYPE}\n${DATE_VALUE}\n${FILEPATH}"

  set +x
  ACCESS_KEY=$(grep aws_access_key_id ${AWS_CREDS} | head -n1 | cut -d= -f2 | sed "s/ //g")
  SECRET_KEY=$(grep aws_secret_access_key ${AWS_CREDS} | head -n1 | cut -d= -f2 | sed "s/ //g")
  SIGNATURE_HASH=$(echo -en ${SIGNATURE_STRING} | openssl sha1 -hmac "${SECRET_KEY}" -binary | base64)
  set -x

  # FIXME: this is pushing to the OIDC bucket
  oc exec -it etcd-0 -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} -- curl -X PUT -T "/var/lib/data/snapshot.db" \
    -H "Host: ${BUCKET_NAME}.s3.amazonaws.com" \
    -H "Date: ${DATE_VALUE}" \
    -H "Content-Type: ${CONTENT_TYPE}" \
    -H "Authorization: AWS ${ACCESS_KEY}:${SIGNATURE_HASH}" \
    https://${BUCKET_NAME}.s3.amazonaws.com/${HC_CLUSTER_NAME}-${POD}-snapshot.db
done

    有关备份 etcd 的更多信息，请参阅 "Backing and restore etcd on a hosted cluster"。

  4. 输入以下命令备份 Kubernetes 和 OpenShift Container Platform 对象。您需要备份以下对象：

    • 来自 HostedCluster 命名空间的 HostedCluster 和 NodePool 对象
    • 来自 HostedCluster 命名空间中的 HostedCluster secret
    • 来自 Hosted Control Plane 命名空间中的 HostedControlPlane
    • 来自 Hosted Control Plane 命名空间的 Cluster
    • 来自 Hosted Control Plane 命名空间的AWSCluster, AWSMachineTemplate, 和 AWSMachine
    • 来自 Hosted Control Plane 命名空间的 MachineDeployments, MachineSets, 和 Machines。

    • 来自 Hosted Control Plane 命名空间的 ControlPlane 

      mkdir -p ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS} ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}
chmod 700 ${BACKUP_DIR}/namespaces/

# HostedCluster
echo "Backing Up HostedCluster Objects:"
oc get hc ${HC_CLUSTER_NAME} -n ${HC_CLUSTER_NS} -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}/hc-${HC_CLUSTER_NAME}.yaml
echo "--> HostedCluster"
sed -i '' -e '/^status:$/,$d' ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}/hc-${HC_CLUSTER_NAME}.yaml

# NodePool
oc get np ${NODEPOOLS} -n ${HC_CLUSTER_NS} -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}/np-${NODEPOOLS}.yaml
echo "--> NodePool"
sed -i '' -e '/^status:$/,$ d' ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}/np-${NODEPOOLS}.yaml

# Secrets in the HC Namespace
echo "--> HostedCluster Secrets:"
for s in $(oc get secret -n ${HC_CLUSTER_NS} | grep "^${HC_CLUSTER_NAME}" | awk '{print $1}'); do
    oc get secret -n ${HC_CLUSTER_NS} $s -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}/secret-${s}.yaml
done

# Secrets in the HC Control Plane Namespace
echo "--> HostedCluster ControlPlane Secrets:"
for s in $(oc get secret -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} | egrep -v "docker|service-account-token|oauth-openshift|NAME|token-${HC_CLUSTER_NAME}" | awk '{print $1}'); do
    oc get secret -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} $s -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/secret-${s}.yaml
done

# Hosted Control Plane
echo "--> HostedControlPlane:"
oc get hcp ${HC_CLUSTER_NAME} -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/hcp-${HC_CLUSTER_NAME}.yaml

# Cluster
echo "--> Cluster:"
CL_NAME=$(oc get hcp ${HC_CLUSTER_NAME} -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} -o jsonpath={.metadata.labels.\*} | grep ${HC_CLUSTER_NAME})
oc get cluster ${CL_NAME} -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/cl-${HC_CLUSTER_NAME}.yaml

# AWS Cluster
echo "--> AWS Cluster:"
oc get awscluster ${HC_CLUSTER_NAME} -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/awscl-${HC_CLUSTER_NAME}.yaml

# AWS MachineTemplate
echo "--> AWS Machine Template:"
oc get awsmachinetemplate ${NODEPOOLS} -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/awsmt-${HC_CLUSTER_NAME}.yaml

# AWS Machines
echo "--> AWS Machine:"
CL_NAME=$(oc get hcp ${HC_CLUSTER_NAME} -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} -o jsonpath={.metadata.labels.\*} | grep ${HC_CLUSTER_NAME})
for s in $(oc get awsmachines -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} --no-headers | grep ${CL_NAME} | cut -f1 -d\ ); do
    oc get -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} awsmachines $s -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/awsm-${s}.yaml
done

# MachineDeployments
echo "--> HostedCluster MachineDeployments:"
for s in $(oc get machinedeployment -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} -o name); do
    mdp_name=$(echo ${s} | cut -f 2 -d /)
    oc get -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} $s -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/machinedeployment-${mdp_name}.yaml
done

# MachineSets
echo "--> HostedCluster MachineSets:"
for s in $(oc get machineset -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} -o name); do
    ms_name=$(echo ${s} | cut -f 2 -d /)
    oc get -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} $s -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/machineset-${ms_name}.yaml
done

# Machines
echo "--> HostedCluster Machine:"
for s in $(oc get machine -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} -o name); do
    m_name=$(echo ${s} | cut -f 2 -d /)
    oc get -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} $s -o yaml > ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/machine-${m_name}.yaml
done

  5. 输入以下命令清理 ControlPlane 路由： 

    $ oc delete routes -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} --all

    输入该命令，您可以启用 ExternalDNS Operator 来删除 Route53 条目。

  6. 运行该脚本验证 Route53 条目是否清理： 

    function clean_routes() {

    if [[ -z "${1}" ]];then
        echo "Give me the NS where to clean the routes"
        exit 1
    fi

    # Constants
    if [[ -z "${2}" ]];then
        echo "Give me the Route53 zone ID"
        exit 1
    fi

    ZONE_ID=${2}
    ROUTES=10
    timeout=40
    count=0

    # This allows us to remove the ownership in the AWS for the API route
    oc delete route -n ${1} --all

    while [ ${ROUTES} -gt 2 ]
    do
        echo "Waiting for ExternalDNS Operator to clean the DNS Records in AWS Route53 where the zone id is: ${ZONE_ID}..."
        echo "Try: (${count}/${timeout})"
        sleep 10
        if [[ $count -eq timeout ]];then
            echo "Timeout waiting for cleaning the Route53 DNS records"
            exit 1
        fi
        count=$((count+1))
        ROUTES=$(aws route53 list-resource-record-sets --hosted-zone-id ${ZONE_ID} --max-items 10000 --output json | grep -c ${EXTERNAL_DNS_DOMAIN})
    done
}

# SAMPLE: clean_routes "<HC ControlPlane Namespace>" "<AWS_ZONE_ID>"
clean_routes "${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}" "${AWS_ZONE_ID}"

验证

检查所有 OpenShift Container Platform 对象和 S3 存储桶，以验证所有内容是否如预期。

后续步骤

恢复托管集群。

8.4.3. 恢复托管集群

收集您备份和恢复目标管理集群中的所有对象。

先决条件

您已从源集群备份数据。

提示

确保目标管理集群的 kubeconfig 文件放置在 KUBECONFIG 变量中，或者在 MGMT2_KUBECONFIG 变量中设置。使用 export KUBECONFIG=<Kubeconfig FilePath>，或者使用 export KUBECONFIG=${MGMT2_KUBECONFIG}。

流程

  1. 输入以下命令验证新管理集群是否不包含您要恢复的集群中的任何命名空间： 

    # Just in case
export KUBECONFIG=${MGMT2_KUBECONFIG}
BACKUP_DIR=${HC_CLUSTER_DIR}/backup

# Namespace deletion in the destination Management cluster
$ oc delete ns ${HC_CLUSTER_NS} || true
$ oc delete ns ${HC_CLUSTER_NS}-{HC_CLUSTER_NAME} || true

  2. 输入以下命令重新创建已删除的命名空间： 

    # Namespace creation
$ oc new-project ${HC_CLUSTER_NS}
$ oc new-project ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}

  3. 输入以下命令恢复 HC 命名空间中的 secret： 

    $ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}/secret-*

  4. 输入以下命令恢复 HostedCluster control plane 命名空间中的对象： 

    # Secrets
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/secret-*

# Cluster
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/hcp-*
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/cl-*

  5. 如果您要恢复节点和节点池来重复利用 AWS 实例，请输入以下命令恢复 HC control plane 命名空间中的对象： 

    # AWS
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/awscl-*
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/awsmt-*
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/awsm-*

# Machines
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/machinedeployment-*
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/machineset-*
$ oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}/machine-*

  6. 运行此 bash 脚本恢复 etcd 数据和托管集群： 

    ETCD_PODS="etcd-0"
if [ "${CONTROL_PLANE_AVAILABILITY_POLICY}" = "HighlyAvailable" ]; then
  ETCD_PODS="etcd-0 etcd-1 etcd-2"
fi

HC_RESTORE_FILE=${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}/hc-${HC_CLUSTER_NAME}-restore.yaml
HC_BACKUP_FILE=${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}/hc-${HC_CLUSTER_NAME}.yaml
HC_NEW_FILE=${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}/hc-${HC_CLUSTER_NAME}-new.yaml
cat ${HC_BACKUP_FILE} > ${HC_NEW_FILE}
cat > ${HC_RESTORE_FILE} <<EOF
    restoreSnapshotURL:
EOF

for POD in ${ETCD_PODS}; do
  # Create a pre-signed URL for the etcd snapshot
  ETCD_SNAPSHOT="s3://${BUCKET_NAME}/${HC_CLUSTER_NAME}-${POD}-snapshot.db"
  ETCD_SNAPSHOT_URL=$(AWS_DEFAULT_REGION=${MGMT2_REGION} aws s3 presign ${ETCD_SNAPSHOT})

  # FIXME no CLI support for restoreSnapshotURL yet
  cat >> ${HC_RESTORE_FILE} <<EOF
    - "${ETCD_SNAPSHOT_URL}"
EOF
done

cat ${HC_RESTORE_FILE}

if ! grep ${HC_CLUSTER_NAME}-snapshot.db ${HC_NEW_FILE}; then
  sed -i '' -e "/type: PersistentVolume/r ${HC_RESTORE_FILE}" ${HC_NEW_FILE}
  sed -i '' -e '/pausedUntil:/d' ${HC_NEW_FILE}
fi

HC=$(oc get hc -n ${HC_CLUSTER_NS} ${HC_CLUSTER_NAME} -o name || true)
if [[ ${HC} == "" ]];then
    echo "Deploying HC Cluster: ${HC_CLUSTER_NAME} in ${HC_CLUSTER_NS} namespace"
    oc apply -f ${HC_NEW_FILE}
else
    echo "HC Cluster ${HC_CLUSTER_NAME} already exists, avoiding step"
fi

  7. 如果您要恢复节点和节点池来重复利用 AWS 实例，请输入以下命令恢复节点池： 

    oc apply -f ${BACKUP_DIR}/namespaces/${HC_CLUSTER_NS}/np-*

验证

  • 要验证节点是否已完全恢复，请使用此功能： 

    timeout=40
count=0
NODE_STATUS=$(oc get nodes --kubeconfig=${HC_KUBECONFIG} | grep -v NotReady | grep -c "worker") || NODE_STATUS=0

while [ ${NODE_POOL_REPLICAS} != ${NODE_STATUS} ]
do
    echo "Waiting for Nodes to be Ready in the destination MGMT Cluster: ${MGMT2_CLUSTER_NAME}"
    echo "Try: (${count}/${timeout})"
    sleep 30
    if [[ $count -eq timeout ]];then
        echo "Timeout waiting for Nodes in the destination MGMT Cluster"
        exit 1
    fi
    count=$((count+1))
    NODE_STATUS=$(oc get nodes --kubeconfig=${HC_KUBECONFIG} | grep -v NotReady | grep -c "worker") || NODE_STATUS=0
done

后续步骤

关闭并删除集群。

8.4.4. 从源集群中删除托管集群

备份托管集群并将其恢复到目标管理集群后，您将关闭并删除源管理集群中的托管集群。

先决条件

您备份了数据并将其恢复到源管理集群。

提示

确保目标管理集群的 kubeconfig 文件放置在 KUBECONFIG 变量中，或者在 MGMT_KUBECONFIG 变量中设置。使用 export KUBECONFIG=<Kubeconfig FilePath> 或使用脚本，请使用 export KUBECONFIG=${MGMT_KUBECONFIG}。

流程

  1. 输入以下命令来扩展 deployment 和 statefulset 对象：

    重要

    如果其 spec.persistentVolumeClaimRetentionPolicy.whenScaled 字段被设置为 Delete，则不要扩展有状态的集合，因为这可能会导致数据丢失。

    作为临时解决方案，将 spec.persistentVolumeClaimRetentionPolicy.whenScaled 字段的值更新为 Retain。确保不存在协调有状态集的控制器，并将值返回为 Delete，这可能会导致丢失数据。 

    # Just in case
export KUBECONFIG=${MGMT_KUBECONFIG}

# Scale down deployments
oc scale deployment -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} --replicas=0 --all
oc scale statefulset.apps -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} --replicas=0 --all
sleep 15

  2. 输入以下命令来删除 NodePool 对象： 

    NODEPOOLS=$(oc get nodepools -n ${HC_CLUSTER_NS} -o=jsonpath='{.items[?(@.spec.clusterName=="'${HC_CLUSTER_NAME}'")].metadata.name}')
if [[ ! -z "${NODEPOOLS}" ]];then
    oc patch -n "${HC_CLUSTER_NS}" nodepool ${NODEPOOLS} --type=json --patch='[ { "op":"remove", "path": "/metadata/finalizers" }]'
    oc delete np -n ${HC_CLUSTER_NS} ${NODEPOOLS}
fi

  3. 输入以下命令删除 machine 和 machineset 对象： 

    # Machines
for m in $(oc get machines -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} -o name); do
    oc patch -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} ${m} --type=json --patch='[ { "op":"remove", "path": "/metadata/finalizers" }]' || true
    oc delete -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} ${m} || true
done

oc delete machineset -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} --all || true

  4. 输入以下命令删除集群对象： 

    # Cluster
C_NAME=$(oc get cluster -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} -o name)
oc patch -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} ${C_NAME} --type=json --patch='[ { "op":"remove", "path": "/metadata/finalizers" }]'
oc delete cluster.cluster.x-k8s.io -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} --all

  5. 输入这些命令来删除 AWS 机器 (Kubernetes 对象)。不用担心删除实际的 AWS 机器。云实例不会受到影响。 

    # AWS Machines
for m in $(oc get awsmachine.infrastructure.cluster.x-k8s.io -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} -o name)
do
    oc patch -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} ${m} --type=json --patch='[ { "op":"remove", "path": "/metadata/finalizers" }]' || true
    oc delete -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} ${m} || true
done

  6. 输入以下命令删除 HostedControlPlane 和 ControlPlane HC 命名空间对象： 

    # Delete HCP and ControlPlane HC NS
oc patch -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} hostedcontrolplane.hypershift.openshift.io ${HC_CLUSTER_NAME} --type=json --patch='[ { "op":"remove", "path": "/metadata/finalizers" }]'
oc delete hostedcontrolplane.hypershift.openshift.io -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} --all
oc delete ns ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME} || true

  7. 输入以下命令删除 HostedCluster 和 HC 命名空间对象： 

    # Delete HC and HC Namespace
oc -n ${HC_CLUSTER_NS} patch hostedclusters ${HC_CLUSTER_NAME} -p '{"metadata":{"finalizers":null}}' --type merge || true
oc delete hc -n ${HC_CLUSTER_NS} ${HC_CLUSTER_NAME}  || true
oc delete ns ${HC_CLUSTER_NS} || true

验证

  • 要验证所有内容是否正常工作，请输入以下命令： 

    # Validations
export KUBECONFIG=${MGMT2_KUBECONFIG}

oc get hc -n ${HC_CLUSTER_NS}
oc get np -n ${HC_CLUSTER_NS}
oc get pod -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}
oc get machines -n ${HC_CLUSTER_NS}-${HC_CLUSTER_NAME}

# Inside the HostedCluster
export KUBECONFIG=${HC_KUBECONFIG}
oc get clusterversion
oc get nodes

后续步骤

删除托管的集群中的 OVN pod，以便您可以连接到新管理集群中运行的新 OVN control plane：

  1. 使用托管的集群的 kubeconfig 路径加载 KUBECONFIG 环境变量。

  2. 输入这个命令： 

    $ oc delete pod -n openshift-ovn-kubernetes --all
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