Kubernetes:创建动态本地卷以自动为PVC分配PV的最佳实践是什么? [英] Kubernetes: What is the best practice for create dynamic local volume to auto assign PVs for PVCs?

问题描述

最近，我通过kubeadm init在我的CentOS7集群上安装了k8.不幸的是，我遇到了很多问题.最大的问题是如何创建动态本地存储/卷以自动为PVC分配PV?"

Recently, I installed the k8s via kubeadm init on my CentOS7 clusters. Unfortunately, I suffered a lots of problems. The biggest problem is "How to create a dynamic local storage/volume for automatically assign PVs for PVCs?"

问:为什么本地存储不是云存储服务?

Q: Why local storage not cloud storage service?

A:这是我大学新实验室的局限性.

A: This is a limitation of new lab of my university.

问题描述:

在成功完成安装过程之后，k8s(v1.18.0)没有为我创建默认存储类.我不确定这种情况是否正常.但是，当我安装第一个应用程序时， JupyterHub ，在k8s上，我得到了一个错误，因为它可以找到适合PVC hub-db-dir的合适PV.然后，我尝试手动手动创建一个本地存储类和一个PV，如下所示:

The k8s(v1.18.0) did not create a default storage class for me after the installing process successfully. I not sure about that whether the situation normally. However, when I install my first application, JupyterHub, on k8s, I got error from it because it could found a suitable PV to fit a PVC hub-db-dir. And then I attempt to manually a local storage class and a PV such below:

local-storage.yaml

apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
  name: local-storage
provisioner: kubernetes.io/no-provisioner
volumeBindingMode: WaitForFirstConsumer

hub-db-pv.yaml

apiVersion: v1
kind: PersistentVolume
metadata:
  name: hub-db-pv
  namespace: jhub
spec:
  capacity:
    storage: 1Gi
  accessModes:
  - ReadWriteOnce
  persistentVolumeReclaimPolicy: Retain
  storageClassName: local-storage
  local:
    path: /home/k8s_data_dir/jhub_dir
  nodeAffinity:
    required:
      nodeSelectorTerms:
      - matchExpressions:
        - key: kubernetes.io/hostname
          operator: In
          values:
          - node1
          - node2
          - node3
          - node4

我应用了这些yaml文件之后，JupyterHub便开始工作.我认为使用JupyterHub将成功.但是我太天真了.我进入JupyterHub的主页，然后无法运行，因为JupyterHub为我创建了一个新的PVC，但无法绑定合适的PV. 我猜这是我的本地存储类导致的错误，该类无法自动创建PV以适合PVC.然后，我尝试使用外部供应商 sig-storage-lib-external-provisioner 但它不能解决我的本地存储问题. (我是按照sig-storage-lib-external-provisioner的教程来做的.)

The JupyterHub work after I apply these yaml files. I thought that will success to use JupyterHub. But I so naive. I enter the main page of JupyterHub then failure to running, because the JupyterHub create a new PVC for me but it could not bound a suitable PV. I guess that the error cause by my local storage class which unable to auto create a PV to fit a PVC. Then I try to use an external provisioner sig-storage-lib-external-provisioner but it can not fix my problem of local storage. (I according to the tutorial of sig-storage-lib-external-provisioner to do.)

所以，我的问题是:

1. 解决本地存储问题的最佳实践是什么?
2. 如果您有妥协的方法来做同样的事情，请帮助我！

最后，我很感谢您的帮助！

Finally, I honest to thank you for your help!

推荐答案

使用local-storage StorageClass

从文档 此处介绍如何在Kubernetes集群中管理本地卷.

From the docs here on how to manage local volumes in your Kubernetes cluster.

1. 创建供供应商发现的目录
2. 在发现目录中准备并设置本地卷

文档的下一步

创建一个StorageClass

创建本地持久卷

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