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[zh-cn] sync blog: 2023-04-28-statefulset-migration.md 

Signed-off-by: xin.li <xin.li@daocloud.io>
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---
layout: blog
title: "Kubernetes 1.27: StatefulSet 启动序号简化了迁移"
date: 2023-04-28
slug: statefulset-start-ordinal
---
<!--
layout: blog
title: "Kubernetes 1.27: StatefulSet Start Ordinal Simplifies Migration"
date: 2023-04-28
slug: statefulset-start-ordinal
-->
<!--
**Author**: Peter Schuurman (Google)
-->
**作者：** Peter Schuurman (Google)
**译者：** Xin Li (DaoCloud)
<!--
Kubernetes v1.26 introduced a new, alpha-level feature for
[StatefulSets](/docs/concepts/workloads/controllers/statefulset/) that controls
the ordinal numbering of Pod replicas. As of Kubernetes v1.27, this feature is
now beta. Ordinals can start from arbitrary
non-negative numbers. This blog post will discuss how this feature can be
used.
-->
Kubernetes v1.26 为 [StatefulSet](/zh-cn/docs/concepts/workloads/controllers/statefulset/)
引入了一个新的 Alpha 级别特性，可以控制 Pod 副本的序号。
从 Kubernetes v1.27 开始，此特性进级到 Beta 阶段。序数可以从任意非负数开始，
这篇博文将讨论如何使用此功能。
<!--
## Background
StatefulSets ordinals provide sequential identities for pod replicas. When using
[`OrderedReady` Pod management](/docs/tutorials/stateful-application/basic-stateful-set/#orderedready-pod-management)
Pods are created from ordinal index `0` up to `N-1`.
-->
## 背景
StatefulSet 序号为 Pod 副本提供顺序标识。当使用
[`OrderedReady` Pod 管理策略](/docs/tutorials/stateful-application/basic-stateful-set/#orderedready-pod-management)时，
Pod 是从序号索引 `0` 到 `N-1` 顺序创建的。
<!--
With Kubernetes today, orchestrating a StatefulSet migration across clusters is
challenging. Backup and restore solutions exist, but these require the
application to be scaled down to zero replicas prior to migration. In today's
fully connected world, even planned application downtime may not allow you to
meet your business goals. You could use
[Cascading Delete](/docs/tutorials/stateful-application/basic-stateful-set/#cascading-delete)
or
[On Delete](/docs/tutorials/stateful-application/basic-stateful-set/#on-delete)
to migrate individual pods, however this is error prone and tedious to manage.
You lose the self-healing benefit of the StatefulSet controller when your Pods
fail or are evicted.
-->
如今使用 Kubernetes 跨集群编排 StatefulSet 迁移具有挑战性。
虽然存在备份和恢复解决方案，但这些解决方案需要在迁移之前将应用程序的副本数缩为 0。
在当今这个完全互联的世界中，即使是计划内的应用停机可能也无法实现你的业务目标。
你可以使用[级联删除](/zh-cn/docs/tutorials/stateful-application/basic-stateful-set/#cascading-delete)或
[OnDelete 策略](/zh-cn/docs/tutorials/stateful-application/basic-stateful-set/#on-delete)来迁移单个 Pod，
但是这很容易出错并且管理起来很乏味。
当你的 Pod 出现故障或被逐出时，你将失去 StatefulSet 控制器的自我修复优势。
<!--
Kubernetes v1.26 enables a StatefulSet to be responsible for a range of ordinals
within a range {0..N-1} (the ordinals 0, 1, ... up to N-1).
With it, you can scale down a range
{0..k-1} in a source cluster, and scale up the complementary range {k..N-1}
in a destination cluster, while maintaining application availability. This
enables you to retain *at most one* semantics (meaning there is at most one Pod
with a given identity running in a StatefulSet) and
[Rolling Update](/docs/tutorials/stateful-application/basic-stateful-set/#rolling-update)
behavior when orchestrating a migration across clusters.
-->
Kubernetes v1.26 使 StatefulSet 能够负责 {0..N-1} 范围内的一系列序数（序数 0、1、... 直到 N-1）。
有了它，你可以缩小源集群中的范围 {0..k-1}，并扩大目标集群中的互补范围 {k..N-1}，同时保证应用程序可用性。
这使你在编排跨集群迁移时保留**至多一个**语义（意味着最多有一个具有给定身份的
Pod 在 StatefulSet 中运行）和[滚动更新](/zh-cn/docs/tutorials/stateful-application/basic-stateful-set/#rolling-update）行为。
<!--
## Why would I want to use this feature?
Say you're running your StatefulSet in one cluster, and need to migrate it out
to a different cluster. There are many reasons why you would need to do this:
* **Scalability**: Your StatefulSet has scaled too large for your cluster, and
has started to disrupt the quality of service for other workloads in your
cluster.
* **Isolation**: You're running a StatefulSet in a cluster that is accessed
by multiple users, and namespace isolation isn't sufficient.
* **Cluster Configuration**: You want to move your StatefulSet to a different
cluster to use some environment that is not available on your current
cluster.
* **Control Plane Upgrades**: You want to move your StatefulSet to a cluster
running an upgraded control plane, and can't handle the risk or downtime of
in-place control plane upgrades.
-->
## 我为什么要使用此功能？
假设你在一个集群中运行 StatefulSet，并且需要将其迁移到另一个集群。你需要这样做的原因有很多：
* **可扩展性**：你的 StatefulSet 对于你的集群而言规模过大，并且已经开始破坏集群中其他工作负载的服务质量。
* **隔离性**：你在一个供多个用户访问的集群中运行 StatefulSet，而命名空间隔离是不够的。
* **集群配置**：你想将 StatefulSet 迁移到另一个集群，以使用在当前集群上不存在的某些环境。
* **控制平面升级**：你想将 StatefulSet 迁移到运行着较高版本控制平面，
并且无法处承担就地升级控制平面所产生的风险或预留停机时间。
<!--
## How do I use it?
Enable the `StatefulSetStartOrdinal` feature gate on a cluster, and create a
StatefulSet with a customized `.spec.ordinals.start`.
-->
## 我该如何使用它？
在集群上启用 `StatefulSetStartOrdinal` 特性门控，并使用自定义的
`.spec.ordinals.start` 创建一个 StatefulSet。
<!--
## Try it out
In this demo, I'll use the new mechanism to migrate a
StatefulSet from one Kubernetes cluster to another. The
[redis-cluster](https://github.com/bitnami/charts/tree/main/bitnami/redis-cluster)
Bitnami Helm chart will be used to install Redis.
-->
## 试试看吧
在此演示中，我将使用新机制将 StatefulSet 从一个 Kubernetes 集群迁移到另一个。
[redis-cluster](https://github.com/bitnami/charts/tree/main/bitnami/redis-cluster)
Bitnami Helm chart 将用于安装 Redis。
<!--
Tools Required:
* [yq](https://github.com/mikefarah/yq)
* [helm](https://helm.sh/docs/helm/helm_install/)
-->
所需工具：
* [yq](https://github.com/mikefarah/yq)
* [helm](https://helm.sh/docs/helm/helm_install/)
<!--
### Pre-requisites {#demo-pre-requisites}
To do this, I need two Kubernetes clusters that can both access common
networking and storage; I've named my clusters `source` and `destination`.
Specifically, I need:
-->
### 先决条件 {#demo-pre-requisites}
为此，我需要两个可以访问公共网络和存储的 Kubernetes 集群；
我已将集群命名为 `source` 和 `destination`。具体来说，我需要：
<!--
* The `StatefulSetStartOrdinal` feature gate enabled on both clusters.
* Client configuration for `kubectl` that lets me access both clusters as an
administrator.
* The same `StorageClass` installed on both clusters, and set as the default
StorageClass for both clusters. This `StorageClass` should provision
underlying storage that is accessible from either or both clusters.
* A flat network topology that allows for pods to send and receive packets to
and from Pods in either clusters. If you are creating clusters on a cloud
provider, this configuration may be called private cloud or private network.
-->
* 在两个集群上都启用 `StatefulSetStartOrdinal` 特性门控。
* `kubectl` 的客户端配置允许我以管理员身份访问这两个集群。
* 两个集群上都安装了相同的 `StorageClass`，并设置为两个集群的默认 `StorageClass`。
这个 `StorageClass` 应该提供可从一个或两个集群访问的底层存储。
* 一种扁平的网络拓扑，允许 Pod 向任一集群中的 Pod 发送数据包和从中接收数据包。
如果你在云提供商上创建集群，则此配置可能被称为私有云或私有网络。
<!--
1. Create a demo namespace on both clusters:
-->
1. 在两个集群上创建一个用于演示的命名空间：
```
kubectl create ns kep-3335
```
<!--
2. Deploy a Redis cluster with six replicas in the source cluster:
-->
2. 在 `source` 集群中部署一个有六个副本的 Redis 集群：
```
helm repo add bitnami https://charts.bitnami.com/bitnami
helm install redis --namespace kep-3335 \
bitnami/redis-cluster \
--set persistence.size=1Gi \
--set cluster.nodes=6
```
<!--
3. Check the replication status in the source cluster:
-->
3. 检查 `source` 集群中的副本状态：
```
kubectl exec -it redis-redis-cluster-0 -- /bin/bash -c \
"redis-cli -c -h redis-redis-cluster -a $(kubectl get secret redis-redis-cluster -o jsonpath="{.data.redis-password}" | base64 -d) CLUSTER NODES;"
```
```
2ce30362c188aabc06f3eee5d92892d95b1da5c3 10.104.0.14:6379@16379 myself,master - 0 1669764411000 3 connected 10923-16383
7743661f60b6b17b5c71d083260419588b4f2451 10.104.0.16:6379@16379 slave 2ce30362c188aabc06f3eee5d92892d95b1da5c3 0 1669764410000 3 connected
961f35e37c4eea507cfe12f96e3bfd694b9c21d4 10.104.0.18:6379@16379 slave a8765caed08f3e185cef22bd09edf409dc2bcc61 0 1669764411000 1 connected
7136e37d8864db983f334b85d2b094be47c830e5 10.104.0.15:6379@16379 slave 2cff613d763b22c180cd40668da8e452edef3fc8 0 1669764412595 2 connected
a8765caed08f3e185cef22bd09edf409dc2bcc61 10.104.0.19:6379@16379 master - 0 1669764411592 1 connected 0-5460
2cff613d763b22c180cd40668da8e452edef3fc8 10.104.0.17:6379@16379 master - 0 1669764410000 2 connected 5461-10922
```
<!--
4. Deploy a Redis cluster with zero replicas in the destination cluster:
-->
4. 在 `destination` 集群中部署一个零副本的 Redis 集群：
```
helm install redis --namespace kep-3335 \
bitnami/redis-cluster \
--set persistence.size=1Gi \
--set cluster.nodes=0 \
--set redis.extraEnvVars\[0\].name=REDIS_NODES,redis.extraEnvVars\[0\].value="redis-redis-cluster-headless.kep-3335.svc.cluster.local" \
--set existingSecret=redis-redis-cluster
```
<!--
5. Scale down the `redis-redis-cluster` StatefulSet in the source cluster by 1,
to remove the replica `redis-redis-cluster-5`:
-->
5. 将源集群中的 `redis-redis-cluster` StatefulSet 副本数缩小 1，
以删除副本 `redis-redis-cluster-5`：
```
kubectl patch sts redis-redis-cluster -p '{"spec": {"replicas": 5}}'
```
<!--
6. Migrate dependencies from the source cluster to the destination cluster:
The following commands copy resources from `source` to `destionation`. Details
that are not relevant in `destination` cluster are removed (eg: `uid`,
`resourceVersion`, `status`).
**Steps for the source cluster**
-->
6. 将依赖从 `source` 集群迁移到 `destionation` 集群：
以下命令将依赖资源从 `source` 复制到 `destionation`，其中与 `destionation`
集群无关的详细信息已被删除（例如：`uid`、`resourceVersion`、`status`）。
<!--
Note: If using a `StorageClass` with `reclaimPolicy: Delete` configured, you
should patch the PVs in `source` with `reclaimPolicy: Retain` prior to
deletion to retain the underlying storage used in `destination`. See
[Change the Reclaim Policy of a PersistentVolume](/docs/tasks/administer-cluster/change-pv-reclaim-policy/)
for more details.
-->
说明：如果使用配置了 `reclaimPolicy: Delete` 的 `StorageClass`，
你应该在删除之前使用 `reclaimPolicy: Retain` 修补 `source` 中的 PV，
以保留 `destination` 中使用的底层存储。
有关详细信息，请参阅[更改 PersistentVolume](/zh-cn/docs/tasks/administer-cluster/change-pv-reclaim-policy/)
的回收策略。
```
kubectl get pvc redis-data-redis-redis-cluster-5 -o yaml | yq 'del(.metadata.uid, .metadata.resourceVersion, .metadata.annotations, .metadata.finalizers, .status)' > /tmp/pvc-redis-data-redis-redis-cluster-5.yaml
kubectl get pv $(yq '.spec.volumeName' /tmp/pvc-redis-data-redis-redis-cluster-5.yaml) -o yaml | yq 'del(.metadata.uid, .metadata.resourceVersion, .metadata.annotations, .metadata.finalizers, .spec.claimRef, .status)' > /tmp/pv-redis-data-redis-redis-cluster-5.yaml
kubectl get secret redis-redis-cluster -o yaml | yq 'del(.metadata.uid, .metadata.resourceVersion)' > /tmp/secret-redis-redis-cluster.yaml
```
<!--
**Steps for the destination cluster**
Note: For the PV/PVC, this procedure only works if the underlying storage system
that your PVs use can support being copied into `destination`. Storage
that is associated with a specific node or topology may not be supported.
Additionally, some storage systems may store addtional metadata about
volumes outside of a PV object, and may require a more specialized
sequence to import a volume.
-->
**`destination` 集群中的步骤**
说明：对于 PV/PVC，此过程仅在你的 PV 使用的底层存储系统支持复制到 `destination`
集群时才有效。可能不支持与特定节点或拓扑关联的存储。此外，某些存储系统可能会在 PV
对象之外存储有关卷的附加元数据，并且可能需要更专门的序列来导入卷。
```
kubectl create -f /tmp/pv-redis-data-redis-redis-cluster-5.yaml
kubectl create -f /tmp/pvc-redis-data-redis-redis-cluster-5.yaml
kubectl create -f /tmp/secret-redis-redis-cluster.yaml
```
<!--
7. Scale up the `redis-redis-cluster` StatefulSet in the destination cluster by
1, with a start ordinal of 5:
-->
7. 将 `destination` 集群中的 `redis-redis-cluster` StatefulSet 扩容 1，起始序号为 5：
```
kubectl patch sts redis-redis-cluster -p '{"spec": {"ordinals": {"start": 5}, "replicas": 1}}'
```
<!--
8. Check the replication status in the destination cluster:
-->
8. 检查 `destination` 集群中的副本状态：
```
kubectl exec -it redis-redis-cluster-5 -- /bin/bash -c \
"redis-cli -c -h redis-redis-cluster -a $(kubectl get secret redis-redis-cluster -o jsonpath="{.data.redis-password}" | base64 -d) CLUSTER NODES;"
```
<!--
I should see that the new replica (labeled `myself`) has joined the Redis
cluster (the IP address belongs to a different CIDR block than the
replicas in the source cluster).
-->
我应该看到新副本（标记为 `myself`）已加入 Redis 集群（IP
地址与 `source` 集群中的副本归属于不同的 CIDR 块）。
```
2cff613d763b22c180cd40668da8e452edef3fc8 10.104.0.17:6379@16379 master - 0 1669766684000 2 connected 5461-10922
7136e37d8864db983f334b85d2b094be47c830e5 10.108.0.22:6379@16379 myself,slave 2cff613d763b22c180cd40668da8e452edef3fc8 0 1669766685609 2 connected
2ce30362c188aabc06f3eee5d92892d95b1da5c3 10.104.0.14:6379@16379 master - 0 1669766684000 3 connected 10923-16383
961f35e37c4eea507cfe12f96e3bfd694b9c21d4 10.104.0.18:6379@16379 slave a8765caed08f3e185cef22bd09edf409dc2bcc61 0 1669766683600 1 connected
a8765caed08f3e185cef22bd09edf409dc2bcc61 10.104.0.19:6379@16379 master - 0 1669766685000 1 connected 0-5460
7743661f60b6b17b5c71d083260419588b4f2451 10.104.0.16:6379@16379 slave 2ce30362c188aabc06f3eee5d92892d95b1da5c3 0 1669766686613 3 connected
```
<!--
9. Repeat steps #5 to #7 for the remainder of the replicas, until the
Redis StatefulSet in the source cluster is scaled to 0, and the Redis
StatefulSet in the destination cluster is healthy with 6 total replicas.
-->
9. 对剩余的副本重复 #5 到 #7 的步骤，直到 `source` 集群中的 Redis StatefulSet 副本缩放为 0，
并且 `destination` 集群中的 Redis StatefulSet 健康，总共有 6 个副本。
<!--
## What's Next?
This feature provides a building block for a StatefulSet to be split up across
clusters, but does not prescribe the mechanism as to how the StatefulSet should
be migrated. Migration requires coordination of StatefulSet replicas, along with
orchestration of the storage and network layer. This is dependent on the storage
and connectivity requirements of the application installed by the StatefulSet.
Additionally, many StatefulSets are managed by
[operators](/docs/concepts/extend-kubernetes/operator/), which adds another
layer of complexity to migration.
-->
## 接下来？
此特性为跨集群拆分 StatefulSet 提供了一项基本支撑技术，但没有规定 StatefulSet 的迁移机制。
迁移需要对 StatefulSet 副本的协调，以及对存储和网络层的编排。这取决于使用 StatefulSet
安装的应用程序的存储和网络连接要求。此外，许多 StatefulSet 由
[operator](/zh-cn/docs/concepts/extend-kubernetes/operator/) 管理，这也增加了额外的迁移复杂性。
<!--
If you're interested in building enhancements to make these processes easier,
get involved with
[SIG Multicluster](https://github.com/kubernetes/community/blob/master/sig-multicluster)
to contribute!
-->
如果你有兴趣构建增强功能以简化这些过程，请参与
[SIG Multicluster](https://github.com/kubernetes/community/blob/master/sig-multicluster)
做出贡献！