08 云原生对象存储（转载）

云原生对象存储

对象存储概述

对象存储通常是指用于上传 put 和下载 get 之用的存储系统，通常用于存储静态文件，如图片、视频、音频等，对象存储一旦上传之后无法再线进行修改，如需修改则需要将其下载到本地，对象存储最早由 aws 的 S3 提供， Ceph 的对象存储提供两种接口支持：

S3 ⻛格接口
Swift ⻛格接口

Ceph 对象存储具有以下特点

RESTful Interface （RESTFul api实现对象的管理上传、下载）
S3- and Swift-compliant APIs（提供2种风格 api，s3 和 Swift-compliant）
S3-style subdomains （S3风格的子域）
Unified S3/Swift namespace （S3/Swift扁平空间）
User management （安全行：用户认证）
Usage tracking （使用率追踪）
Striped objects (分片上传，在重组)
Cloud solution integration （和云平台集成）
Multi-site deployment （多站点部署）
Multi-site replication （多站点复制）

部署 `RGW` 集群

通过 rook 部署 RGW 对象存储集群非常便捷，默认已经提供了 yaml 文件，会创建对象存储所需的 pool 和 rgw 集群实例

[root@m1 ceph]# cat object.yaml 
apiVersion: ceph.rook.io/v1
kind: CephObjectStore
metadata:
  name: my-store
  namespace: rook-ceph
spec:
  metadataPool:
    failureDomain: host
    replicated:
      size: 3
      requireSafeReplicaSize: true
    parameters:
      compression_mode: none
  dataPool:
    failureDomain: host
    replicated:
      size: 3
      requireSafeReplicaSize: true
    parameters:
      compression_mode: none
  preservePoolsOnDelete: false
  gateway:
    type: s3
    sslCertificateRef:
    port: 80
    instances: 1
    placement:
    annotations:
    labels:
    resources:
  healthCheck:
    bucket:
      disabled: false
      interval: 60s
    livenessProbe:
      disabled: false

执行 kubectl apply -f object.yaml 安装文件之后会自动创建 rgw 对象存储的 pods

[root@m1 ceph]# kubectl -n rook-ceph get pods -l app=rook-ceph-rgw
NAME                                       READY   STATUS    RESTARTS   AGE
rook-ceph-rgw-my-store-a-b85b4576d-2ptc7   1/1     Running   0          38s

此时 rgw 已经部署完毕，默认部署了 1 个 rgw 实例，通过 ceph -s 可以查看到 rgw 已经部署到Ceph集群中

[root@m1 ceph]# ceph -s
  cluster:
    id:     17a413b5-f140-441a-8b35-feec8ae29521
    health: HEALTH_WARN
            1 daemons have recently crashed
 
  services:
    mon: 3 daemons, quorum a,b,c (age 97m)
    mgr: a(active, since 96m)
    mds: myfs:2 {0=myfs-d=up:active,1=myfs-a=up:active} 2 up:standby-replay
    osd: 5 osds: 5 up (since 97m), 5 in (since 29h)
    rgw: 1 daemon active (my.store.a)
 
  task status:
 
  data:
    pools:   11 pools, 194 pgs
    objects: 758 objects, 1.4 GiB
    usage:   9.4 GiB used, 241 GiB / 250 GiB avail
    pgs:     194 active+clean
 
  io:
    client:   2.5 KiB/s rd, 4 op/s rd, 0 op/s wr
 
  progress:
    PG autoscaler decreasing pool 8 PGs from 32 to 8 (60s)
      [............................]

RGW 默认会创建若干个 pool 来存储对象存储的数据， pool 包含 metadata pool 和 data pool

[root@m1 ceph]# ceph osd lspools
1 device_health_metrics
2 replicapool
3 myfs-metadata
4 myfs-data0
5 my-store.rgw.control
6 my-store.rgw.meta
7 my-store.rgw.log
8 my-store.rgw.buckets.index
9 my-store.rgw.buckets.non-ec
10 .rgw.root
11 my-store.rgw.buckets.data     # data pool

`RGW` 高可用集群

RGW 是一个无状态化的 http 服务器，通过 80 端口处理 http 的 put/get 请求，生产环境中需要部署多个 RGW 以满足高可用的要求，在 《Ceph入⻔到实战课程中》 我们通过 haproxy+keepalived 的方式来构建 RGW 的高可用集群

Ceph 集群中部署多个 RGW 实例
HAproxy 提供负载均衡能力
keepalived 提供 VIP 和保障 haproxy 的高可用性

通过 rook 构建 RGW 集群默认部署了一个 RGW 实例，无法实现高可用性的要求，需要部署多个 instances 以满足高可用的诉求。

[root@m1 ceph]# kubectl -n rook-ceph get svc
NAME                       TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)             AGE
csi-cephfsplugin-metrics   ClusterIP   10.68.55.204    <none>        8080/TCP,8081/TCP   30h
csi-rbdplugin-metrics      ClusterIP   10.68.66.14     <none>        8080/TCP,8081/TCP   30h
rook-ceph-mgr              ClusterIP   10.68.82.138    <none>        9283/TCP            30h
rook-ceph-mgr-dashboard    ClusterIP   10.68.153.82    <none>        8443/TCP            30h
rook-ceph-mon-a            ClusterIP   10.68.231.222   <none>        6789/TCP,3300/TCP   30h
rook-ceph-mon-b            ClusterIP   10.68.163.216   <none>        6789/TCP,3300/TCP   30h
rook-ceph-mon-c            ClusterIP   10.68.61.127    <none>        6789/TCP,3300/TCP   30h
rook-ceph-rgw-my-store     ClusterIP   10.68.3.165     <none>        80/TCP              4m20s

[root@m1 ceph]# curl http://10.68.3.165:80
<?xml version="1.0" encoding="UTF-8"?>
<ListAllMyBucketsResult xmlns="http://s3.amazonaws.com/doc/2006-03-01/">
    <Owner>
        <ID>anonymous</ID>
        <DisplayName></DisplayName>
    </Owner>
    <Buckets></Buckets>
</ListAllMyBucketsResult>

# 修改配置
[root@m1 ceph]# cat object.yaml 
apiVersion: ceph.rook.io/v1
kind: CephObjectStore
metadata:
  name: my-store
  namespace: rook-ceph
spec:
  metadataPool:
    failureDomain: host
    replicated:
      size: 3
      requireSafeReplicaSize: true
    parameters:
      compression_mode: none
  dataPool:
    failureDomain: host
    replicated:
      size: 3
      requireSafeReplicaSize: true
    parameters:
      compression_mode: none
  preservePoolsOnDelete: false
  gateway:
    type: s3
    sslCertificateRef:
    port: 80
    instances: 2   # 修改 instances 为 2，则部署 2 个 rgw 服务
    placement:
    annotations:
    labels:
    resources:
  healthCheck:
    bucket:
      disabled: false
      interval: 60s
    livenessProbe:
      disabled: false

执行完毕之后会创建两个 rgw 的 pods

[root@m1 ceph]# kubectl apply -f object.yaml
cephobjectstore.ceph.rook.io/my-store configured

[root@m1 ceph]# kubectl -n rook-ceph get pods -l app=rook-ceph-rgw
NAME                                       READY   STATUS    RESTARTS   AGE
rook-ceph-rgw-my-store-a-b85b4576d-2ptc7   1/1     Running   0          16m
rook-ceph-rgw-my-store-b-c4c4c8fd8-dt658   1/1     Running   0          5s

对外提供服务通过 service 的 VIP 实现， VIP 通过 80 端口映射到后端的两个 pods 上

[root@m1 ceph]# kubectl -n rook-ceph get svc rook-ceph-rgw-my-store 
NAME                     TYPE        CLUSTER-IP    EXTERNAL-IP   PORT(S)   AGE
rook-ceph-rgw-my-store   ClusterIP   10.68.3.165   <none>        80/TCP    93m
[root@m1 ceph]# kubectl -n rook-ceph describe svc rook-ceph-rgw-my-store 
Name:              rook-ceph-rgw-my-store
Namespace:         rook-ceph
Labels:            app=rook-ceph-rgw
                   ceph_daemon_id=my-store
                   ceph_daemon_type=rgw
                   rgw=my-store
                   rook_cluster=rook-ceph
                   rook_object_store=my-store
Annotations:       <none>
Selector:          app=rook-ceph-rgw,ceph_daemon_id=my-store,rgw=my-store,rook_cluster=rook-ceph,rook_object_store=my-store
Type:              ClusterIP
IP Families:       <none>
IP:                10.68.3.165
IPs:               10.68.3.165
Port:              http  80/TCP
TargetPort:        8080/TCP
Endpoints:         172.20.3.40:8080,172.20.4.36:8080
Session Affinity:  None
Events:            <none>

[root@m1 ceph]# kubectl -n rook-ceph get pods -l app=rook-ceph-rgw -o wide
NAME                                       READY   STATUS    RESTARTS   AGE   IP            NODE              NOMINATED NODE   READINESS GATES
rook-ceph-rgw-my-store-a-b85b4576d-2ptc7   1/1     Running   0          93m   172.20.4.36   192.168.100.136   <none>           <none>
rook-ceph-rgw-my-store-b-c4c4c8fd8-dt658   1/1     Running   0          77m   172.20.3.40   192.168.100.137   <none>           <none>

`RGW` 高级调度

和前面 mon ， mds 一样， rgw 支持高级的调度机制，通过 nodeAffinity , podAntiAffinity ， podAffinity ， tolerations 高级调度算法将 RGW 调度到特定的节点上的诉求。

[root@m1 ceph]# vim object.yaml

apiVersion: ceph.rook.io/v1
kind: CephObjectStore
metadata:
  name: my-store
  namespace: rook-ceph
spec:
  metadataPool:
    failureDomain: host
    replicated:
      size: 3
      requireSafeReplicaSize: true
    parameters:
      compression_mode: none
  dataPool:
    failureDomain: host
    replicated:
      size: 3
      requireSafeReplicaSize: true
    parameters:
      compression_mode: none
  preservePoolsOnDelete: false
  gateway:
    type: s3
    sslCertificateRef:
    port: 80
    instances: 2
    placement:
      nodeAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
          nodeSelectorTerms:
          - matchExpressions:
            - key: ceph-rgw
              operator: In
              values:
              - enabled
      podAntiAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
        - labelSelector:
            matchExpressions:
            - key: app
              operator: In
              values:
              - rook-ceph-rgw
          topologyKey: kubernetes.io/hostname
    annotations:
    labels:
    resources:
  healthCheck:
    bucket:
      disabled: false
      interval: 60s
    livenessProbe:
      disabled: false

给 node 节点打上标签

[root@node-1 ~]# kubectl label node 192.168.100.133 ceph-rgw=enabled
[root@node-1 ~]# kubectl label node 192.168.100.134 ceph-rgw=enabled
[root@node-1 ~]# kubectl label node 192.168.100.135 ceph-rgw=enabled


[root@m1 ceph]# kubectl -n rook-ceph get pods -l app=rook-ceph-rgw -o wide
NAME                                       READY   STATUS        RESTARTS   AGE    IP            NODE              NOMINATED NODE   READINESS GATES
rook-ceph-rgw-my-store-a-b85b4576d-2ptc7   0/1     Terminating   0          105m   172.20.4.36   192.168.100.136   <none>           <none>
rook-ceph-rgw-my-store-b-c4c4c8fd8-dt658   1/1     Running       0          89m    172.20.3.40   192.168.100.137   <none>           <none>
[root@m1 ceph]# kubectl -n rook-ceph get pods -l app=rook-ceph-rgw -o wide
NAME                                       READY   STATUS    RESTARTS   AGE   IP            NODE              NOMINATED NODE   READINESS GATES
rook-ceph-rgw-my-store-a-847c97bc4-qpvqp   0/1     Pending   0          0s    <none>        <none>            <none>           <none>
rook-ceph-rgw-my-store-b-c4c4c8fd8-dt658   1/1     Running   0          89m   172.20.3.40   192.168.100.137   <none>           <none>

[root@m1 ceph]# kubectl -n rook-ceph get pods -l app=rook-ceph-rgw -o wide
NAME                                       READY   STATUS    RESTARTS   AGE   IP            NODE              NOMINATED NODE   READINESS GATES
rook-ceph-rgw-my-store-a-847c97bc4-qpvqp   1/1     Running   0          25s   172.20.1.51   192.168.100.135   <none>           <none>
rook-ceph-rgw-my-store-b-c4bc6b4b6-rhbqz   1/1     Running   0          4s    172.20.2.64   192.168.100.134   <none>           <none>

连接外部集群

Rook 提供了管理外部 RGW 对象存储的能力，通过 CephObjectStore 自定义资源对象提供了管理外部 RGW 对象存储的能力，其会通过创建一个 service 实现和外部对象存储管理， kubernetes 集群内部访问 service 的 vip 地址即可实现访问。

[root@m1 ceph]# cat object-external.yaml 
#################################################################################################################
# Create an object store with settings for replication in a production environment. A minimum of 3 hosts with
# OSDs are required in this example.
#  kubectl create -f object.yaml
#################################################################################################################

apiVersion: ceph.rook.io/v1
kind: CephObjectStore
metadata:
  name: external-store
  namespace: rook-ceph # namespace:cluster
spec:
  gateway:
    # The port on which **ALL** the gateway(s) are listening on.
    # Passing a single IP from a load-balancer is also valid.
    port: 80
    externalRgwEndpoints:
      - ip: 192.168.39.182
  healthCheck:
    bucket:
      disabled: false
      interval: 60s

创建 `Bucket` 存储桶

Ceph RGW 集群创建好之后就可以往 RGW 存储对象存储数据了，存储数据之前需要有创建 bucket ， bucket 是存储桶，是对象存储中逻辑的存储空间，可以通过 Ceph 原生的接口管理存储桶入 radowgw-admin ，云原生环境下，推荐使用云原生的方式管理 bucket ，何为云原生模式？即资源对象抽象化为 kubernetes ⻛格的方式来管理，尽可能减少使用原生命令，如创建资源池，创建 bucket 等。

首先需要创建存储消费桶的 `StorageClass`

[root@m1 ceph]# grep -v "[*^#]" storageclass-bucket-delete.yaml 
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
   name: rook-ceph-delete-bucket
reclaimPolicy: Delete
parameters:
  objectStoreName: my-store
  region: us-east-1

创建 StorageClass

[root@m1 ceph]# kubectl apply -f storageclass-bucket-delete.yaml 
storageclass.storage.k8s.io/rook-ceph-delete-bucket created

[root@m1 ceph]# kubectl get sc
NAME                      PROVISIONER                     RECLAIMPOLICY   VOLUMEBINDINGMODE   ALLOWVOLUMEEXPANSION   AGE
rook-ceph-block           rook-ceph.rbd.csi.ceph.com      Delete          Immediate           true                   38h
rook-ceph-delete-bucket   rook-ceph.ceph.rook.io/bucket   Delete          Immediate           false                  24s
rook-cephfs               rook-ceph.cephfs.csi.ceph.com   Delete          Immediate           true                   22h

通过 `ObjectBucketClaim` 向 `StorageClass` 申请存储桶，创建了一个名为 `ceph-bkt` 的 `bucket`

[root@m1 ceph]# grep -v "[*^#]" object-bucket-claim-delete.yaml
apiVersion: objectbucket.io/v1alpha1
kind: ObjectBucketClaim
metadata:
  name: ceph-delete-bucket
spec:
  generateBucketName: ceph-bkt
  storageClassName: rook-ceph-delete-bucket
  additionalConfig:

查看 `bucket` 创建情况

[root@m1 ceph]# kubectl apply -f object-bucket-claim-delete.yaml
objectbucketclaim.objectbucket.io/ceph-delete-bucket created

[root@m1 ceph]# kubectl get objectbucketclaim.objectbucket.io
NAME                 AGE
ceph-delete-bucket   40s

[root@m1 ceph]# radosgw-admin bucket list
[
    "rook-ceph-bucket-checker-b0360498-0acf-4464-bddd-bca1bf4ce4b0",
    "ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a"
]

容器访问对象存储

创建 ObjectBucketClaim 之后， operator 会自动创建 bucket 相关的访问信息，包括访问的路径，认证的访问所需的 key ，这些信息分别存放在 configmap 和 secrets 对象中，可以通过如下的方式获取

获取访问的地址

[root@m1 ceph]# kubectl get configmaps ceph-delete-bucket -o yaml -o jsonpath='{.data.BUCKET_HOST}'
rook-ceph-rgw-my-store.rook-ceph.svc

获取 `ACCESS KEY` 和 `SECRET_ACCESS_KEY` ， `Secrets` 通过 `base64` 加密，需要获取解密后的字符串

 
[root@m1 ceph]# kubectl get secrets ceph-delete-bucket -o yaml -o jsonpath='{.data.AWS_ACCESS_KEY_ID}' | base64 -d
XQW87WB02CK3XP13U5B0

[root@m1 ceph]# kubectl get secrets ceph-delete-bucket -o yamel -o jsonpath='{.data.AWS_SECRET_ACCESS_KEY}' | base64 -d
O2dMSmOetHducvdfFwn7pCCLb6NHhNoqYaUbgMXP

安装 `s3cmd` 客户端

安装 toolbox 容器

[root@m1 ceph]# kubectl apply -f toolbox.yaml 
deployment.apps/rook-ceph-tools unchanged

安装 s3cmd 客户端

# 登陆容器
[root@m1 ceph]# kubectl -n rook-ceph exec -it rook-ceph-tools-77bf5b9b7d-9pq6m -- bash

# 设置为阿里云，默认说国外源无法访问
[root@rook-ceph-tools-77bf5b9b7d-9pq6m /]# cd /etc/yum.repos.d/

[root@rook-ceph-tools-77bf5b9b7d-9pq6m yum.repos.d]# mkdir bak
[root@rook-ceph-tools-77bf5b9b7d-9pq6m yum.repos.d]# mv * bak

[root@rook-ceph-tools-77bf5b9b7d-9pq6m yum.repos.d]# curl -o /etc/yum.repos.d/CentOS-Base.repo http://mirrors.aliyun.com/repo/Centos-8.repo

[root@rook-ceph-tools-77bf5b9b7d-9pq6m yum.repos.d]# yum clean all
[root@rook-ceph-tools-77bf5b9b7d-9pq6m yum.repos.d]# yum install epel-release

[root@rook-ceph-tools-77bf5b9b7d-9pq6m yum.repos.d/]# yum install -y s3cmd

配置 `s3cmd`

[root@rook-ceph-tools-77bf5b9b7d-9pq6m yum.repos.d]# s3cmd --configure

Enter new values or accept defaults in brackets with Enter.
Refer to user manual for detailed description of all options.

Access key and Secret key are your identifiers for Amazon S3. Leave them empty for using the env variables.
Access Key: XQW87WB02CK3XP13U5B0      # 输入 access key
Secret Key: O2dMSmOetHducvdfFwn7pCCLb6NHhNoqYaUbgMXP      # 输入 secret key
Default Region [US]: 

Use "s3.amazonaws.com" for S3 Endpoint and not modify it to the target Amazon S3.
S3 Endpoint [s3.amazonaws.com]: rook-ceph-rgw-my-store.rook-ceph.svc:80   # 输入访问地址

Use "%(bucket)s.s3.amazonaws.com" to the target Amazon S3. "%(bucket)s" and "%(location)s" vars can be used
if the target S3 system supports dns based buckets.
DNS-style bucket+hostname:port template for accessing a bucket [%(bucket)s.s3.amazonaws.com]: rook-ceph-rgw-my-store.rook-ceph.svc:80/%(bucket)      # 输入访问 bucket

Encryption password is used to protect your files from reading
by unauthorized persons while in transfer to S3
Encryption password: 
Path to GPG program [/usr/bin/gpg]: 

When using secure HTTPS protocol all communication with Amazon S3
servers is protected from 3rd party eavesdropping. This method is
slower than plain HTTP, and can only be proxied with Python 2.7 or newer
Use HTTPS protocol [Yes]: no       # 关闭访问代理

On some networks all internet access must go through a HTTP proxy.
Try setting it here if you can't connect to S3 directly
HTTP Proxy server name: 

New settings:
  Access Key: XQW87WB02CK3XP13U5B0
  Secret Key: O2dMSmOetHducvdfFwn7pCCLb6NHhNoqYaUbgMXP
  Default Region: US
  S3 Endpoint: rook-ceph-rgw-my-store.rook-ceph.svc:80
  DNS-style bucket+hostname:port template for accessing a bucket: rook-ceph-rgw-my-store.rook-ceph.svc:80/%(bucket)
  Encryption password: 
  Path to GPG program: /usr/bin/gpg
  Use HTTPS protocol: False
  HTTP Proxy server name: 
  HTTP Proxy server port: 0

Test access with supplied credentials? [Y/n] Y     # 确定信息
Please wait, attempting to list all buckets...
Success. Your access key and secret key worked fine :-)

Now verifying that encryption works...
Not configured. Never mind.

Save settings? [y/N] y      # 保存信息
Configuration saved to '/root/.s3cfg'

对应生成的配置内容如下

[root@rook-ceph-tools-77bf5b9b7d-9pq6m yum.repos.d]# cat /root/.s3cfg 
[default]
access_key = XQW87WB02CK3XP13U5B0 # access key
......
host_base = rook-ceph-rgw-my-store.rook-ceph.svc:80 # 访问地址
host_bucket = rook-ceph-rgw-my-store.rook-ceph.svc:80/%(bucket) # 访问 bucket
......
secret_key = O2dMSmOetHducvdfFwn7pCCLb6NHhNoqYaUbgMXP # secret key
......

查看桶信息

[root@rook-ceph-tools-77bf5b9b7d-9pq6m yum.repos.d]# s3cmd ls
2022-11-26 01:38  s3://ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a

上传 `object` 对象

[root@rook-ceph-tools-77bf5b9b7d-9pq6m yum.repos.d]# s3cmd put /etc/passwd* s3://ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a 
upload: '/etc/passwd' -> 's3://ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a/passwd'  [1 of 2]
 1168 of 1168   100% in    0s    69.92 KB/s  done
upload: '/etc/passwd-' -> 's3://ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a/passwd-'  [2 of 2]
 1112 of 1112   100% in    0s   125.83 KB/s  done

# 查看上传的资源信息
[root@rook-ceph-tools-77bf5b9b7d-9pq6m yum.repos.d]# s3cmd ls s3://ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a/
2022-11-26 02:03         1168  s3://ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a/passwd
2022-11-26 02:03         1112  s3://ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a/passwd-

# 下载资源
[root@rook-ceph-tools-77bf5b9b7d-9pq6m yum.repos.d]# s3cmd get s3://ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a/passwd ./
download: 's3://ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a/passwd' -> './passwd'  [1 of 1]
 1168 of 1168   100% in    0s    27.12 KB/s  done
[root@rook-ceph-tools-77bf5b9b7d-9pq6m yum.repos.d]# ls -lh
total 32K
-rw-r--r-- 1 root root 2.6K Nov 26 01:51 CentOS-Base.repo
drwxr-xr-x 2 root root 4.0K Nov 26 01:51 bak
-rw-r--r-- 1 root root 1.5K Jun  8  2021 epel-modular.repo
-rw-r--r-- 1 root root 1.6K Jun  8  2021 epel-playground.repo
-rw-r--r-- 1 root root 1.6K Jun  8  2021 epel-testing-modular.repo
-rw-r--r-- 1 root root 1.5K Jun  8  2021 epel-testing.repo
-rw-r--r-- 1 root root 1.4K Jun  8  2021 epel.repo
-rw-r--r-- 1 root root 1.2K Nov 26 02:03 passwd
[root@rook-ceph-tools-77bf5b9b7d-9pq6m yum.repos.d]# ls -lh | grep passwd
-rw-r--r-- 1 root root 1.2K Nov 26 02:03 passwd
[root@rook-ceph-tools-77bf5b9b7d-9pq6m yum.repos.d]# exit

s3cmd 其他操作包括：

put 上传
get 下载
ls 查看
rm 删除
info 查看信息

外部访问对象存储

kubernetes 集群外部如何访问 Ceph 对象存储呢，通过 NodePort 的形式暴露服务给集群外部访问

[root@m1 ceph]# cat rgw-external.yaml 
apiVersion: v1
kind: Service
metadata:
  name: rook-ceph-rgw-my-store-external
  namespace: rook-ceph # namespace:cluster
  labels:
    app: rook-ceph-rgw
    rook_cluster: rook-ceph # namespace:cluster
    rook_object_store: my-store
spec:
  ports:
  - name: rgw
    port: 80 # service port mentioned in object store crd
    protocol: TCP
    targetPort: 8080
  selector:
    app: rook-ceph-rgw
    rook_cluster: rook-ceph # namespace:cluster
    rook_object_store: my-store
  sessionAffinity: None
  type: NodePort

安装 rgw-externel.yaml 资源清单

[root@m1 ceph]# kubectl apply -f rgw-external.yaml 
service/rook-ceph-rgw-my-store-external created

[root@m1 ceph]# kubectl -n rook-ceph get svc
NAME                              TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)             AGE
......
rook-ceph-rgw-my-store            ClusterIP   10.68.3.165     <none>        80/TCP              17h
rook-ceph-rgw-my-store-external   NodePort    10.68.242.187   <none>        80:38623/TCP        58s

[root@m1 ceph]# curl http://m1:38623
<?xml version="1.0" encoding="UTF-8"?>
<ListAllMyBucketsResult xmlns="http://s3.amazonaws.com/doc/2006-03-01/">
    <Owner>
        <ID>anonymous</ID>
        <DisplayName></DisplayName>
    </Owner>
    <Buckets></Buckets>
</ListAllMyBucketsResult>

安装 s3cmd

[root@m1 ceph]# yum install -y s3cmd

配置 s3cmd

[root@m1 ceph]# s3cmd  --configure

Enter new values or accept defaults in brackets with Enter.
Refer to user manual for detailed description of all options.

Access key and Secret key are your identifiers for Amazon S3. Leave them empty for using the env variables.
Access Key: XQW87WB02CK3XP13U5B0
Secret Key: O2dMSmOetHducvdfFwn7pCCLb6NHhNoqYaUbgMXP
Default Region [US]: 

Use "s3.amazonaws.com" for S3 Endpoint and not modify it to the target Amazon S3.
S3 Endpoint [s3.amazonaws.com]: m1:38623     # 输入访问地址

Use "%(bucket)s.s3.amazonaws.com" to the target Amazon S3. "%(bucket)s" and "%(location)s" vars can be used
if the target S3 system supports dns based buckets.
DNS-style bucket+hostname:port template for accessing a bucket [%(bucket)s.s3.amazonaws.com]: m1:38623/%(bucket)      # 输入访问 bucket

Encryption password is used to protect your files from reading
by unauthorized persons while in transfer to S3
Encryption password: 
Path to GPG program [/usr/bin/gpg]: 

When using secure HTTPS protocol all communication with Amazon S3
servers is protected from 3rd party eavesdropping. This method is
slower than plain HTTP, and can only be proxied with Python 2.7 or newer
Use HTTPS protocol [Yes]: no

On some networks all internet access must go through a HTTP proxy.
Try setting it here if you can't connect to S3 directly
HTTP Proxy server name: 

New settings:
  Access Key: XQW87WB02CK3XP13U5B0
  Secret Key: O2dMSmOetHducvdfFwn7pCCLb6NHhNoqYaUbgMXP
  Default Region: US
  S3 Endpoint: m1:38623
  DNS-style bucket+hostname:port template for accessing a bucket: m1:38623/%(bucket)
  Encryption password: 
  Path to GPG program: /usr/bin/gpg
  Use HTTPS protocol: False
  HTTP Proxy server name: 
  HTTP Proxy server port: 0

Test access with supplied credentials? [Y/n] Y
Please wait, attempting to list all buckets...
Success. Your access key and secret key worked fine :-)

Now verifying that encryption works...
Not configured. Never mind.

Save settings? [y/N] y
Configuration saved to '/root/.s3cfg'

验证 s3cmd

[root@m1 ceph]# s3cmd ls
2022-11-26 01:38  s3://ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a

[root@m1 ceph]# s3cmd put rgw-external.yaml s3://ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a
upload: 'rgw-external.yaml' -> 's3://ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a/rgw-external.yaml'  [1 of 1]
 517 of 517   100% in    0s    10.13 KB/s  done

[root@m1 ceph]# s3cmd ls s3://ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a
2022-11-26 02:03         1168  s3://ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a/passwd
2022-11-26 02:03         1112  s3://ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a/passwd-
2022-11-26 02:45          517  s3://ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a/rgw-external.yaml

创建单独访问用户

通过 OBC 创建 bucket 时会自动 access key 和 secret key ，这些 key 无法只能操作特定 bucket 中的 object ，如果需要对象存储完整的 api 接口，需要单独的创建， ceph 的 radosgw-admin user create 提供了原生的 api 用于创建管理用户，在云原生时代，推荐使用原生的模式来创建和管理用户， rook 提供了 CephObjectStoreUser 自定义资源对象来提供 user 的管理创建后会自动生成 secrets 对象，可以获取到相关的访问认证信息

上述流程的用户，只有当前 bucket 桶权限，无创建 bucket 等 bucket 相关权限

[root@m1 ceph]# s3cmd mb s3://test
ERROR: S3 error: 400 (TooManyBuckets)

单独创建用户，给予 bucket 级别权限

[root@m1 ceph]# grep -v "[*^#]" object-user.yaml 

apiVersion: ceph.rook.io/v1
kind: CephObjectStoreUser
metadata:
  name: my-user
spec:
  store: my-store
  displayName: "my display name"

[root@m1 ceph]# kubectl apply -f object-user.yaml 
cephobjectstoreuser.ceph.rook.io/my-user created

查看新用户的 secrets 信息


[root@m1 ceph]# kubectl -n rook-ceph get secrets rook-ceph-object-user-my-store-my-user 
NAME                                     TYPE                 DATA   AGE
rook-ceph-object-user-my-store-my-user   kubernetes.io/rook   3      28s

[root@m1 ceph]# kubectl -n rook-ceph get secrets rook-ceph-object-user-my-store-my-user  -o yaml
apiVersion: v1
data:
  AccessKey: RTdXM0E1Mk9SUUNGM1ZZUzBDSVE=
  Endpoint: aHR0cDovL3Jvb2stY2VwaC1yZ3ctbXktc3RvcmUucm9vay1jZXBoLnN2Yzo4MA==
  SecretKey: N2ZGOXZDdzNzOHNNWlVtZWwyMWNqanFnNlNocU1zZ3Bzd1RHZW9XUQ==
kind: Secret
metadata:
  ......
  labels:
    app: rook-ceph-rgw
    rook_cluster: rook-ceph
    rook_object_store: my-store
    user: my-user
  name: rook-ceph-object-user-my-store-my-user
  namespace: rook-ceph
  ownerReferences:
  - apiVersion: ceph.rook.io/v1
    blockOwnerDeletion: true
    controller: true
    kind: CephObjectStoreUser
    name: my-user
    uid: 2d42369b-fce0-4d35-982f-af4598e86006
  resourceVersion: "973421"
  uid: 182f1e04-0d2b-4814-96a8-5411dfbaa17e
type: kubernetes.io/rook

获取新用户的 access key 和 secret key 信息

[root@m1 ceph]# kubectl -n rook-ceph get secrets rook-ceph-object-user-my-store-my-user  -o yaml -o jsonpath='{.data.AccessKey}' | base64 -d
E7W3A52ORQCF3VYS0CIQ

[root@m1 ceph]# kubectl -n rook-ceph get secrets rook-ceph-object-user-my-store-my-user  -o yaml -o jsonpath='{.data.SecretKey}' | base64 -d
7fF9vCw3s8sMZUmel21cjjqg6ShqMsgpswTGeoWQ

[root@m1 ceph]# kubectl -n rook-ceph get secrets rook-ceph-object-user-my-store-my-user  -o yaml -o jsonpath='{.data.Endpoint}' | base64 -d
http://rook-ceph-rgw-my-store.rook-ceph.svc:80

修改当前宿主机 /root/.s3cfg 配置信息，使用新用户的 access key 和 secret key 信息

[root@m1 ceph]# vim /root/.s3cfg 
[default]
#access_key = XQW87WB02CK3XP13U5B0
access_key = E7W3A52ORQCF3VYS0CIQ
......
#secret_key = O2dMSmOetHducvdfFwn7pCCLb6NHhNoqYaUbgMXP
secret_key = 7fF9vCw3s8sMZUmel21cjjqg6ShqMsgpswTGeoWQ
......

验证新用户权限

[root@m1 ceph]# s3cmd mb s3://test
Bucket 's3://test/' created

[root@m1 ceph]# s3cmd ls
2022-11-26 02:57  s3://test

[root@m1 ceph]# s3cmd put rgw-external.yaml s3://test/
upload: 'rgw-external.yaml' -> 's3://test/rgw-external.yaml'  [1 of 1]
 517 of 517   100% in    0s     6.27 KB/s  done

[root@m1 ceph]# s3cmd ls s3://test/
2022-11-26 02:57          517  s3://test/rgw-external.yaml

[root@m1 ceph]# radosgw-admin bucket list
[
    "rook-ceph-bucket-checker-b0360498-0acf-4464-bddd-bca1bf4ce4b0",
    "ceph-bkt-b7d89ff6-e2b6-4360-89b5-0c33082fda2a",
    "test"  # 新创建的存储桶
]

`RGW` 集群维护

`RGW` 以容器 `pods` 的形式运行在集群中

[root@m1 ceph]# kubectl get pods -n rook-ceph -l app=rook-ceph-rgw
NAME                                       READY   STATUS    RESTARTS   AGE
rook-ceph-rgw-my-store-a-847c97bc4-qpvqp   1/1     Running   0          15h
rook-ceph-rgw-my-store-b-c4bc6b4b6-rhbqz   1/1     Running   0          15h

`RGW` 集群状态

[root@m1 ceph]# ceph -s
  cluster:
    id:     17a413b5-f140-441a-8b35-feec8ae29521
    health: HEALTH_WARN
            1 daemons have recently crashed
 
  services:
    mon: 3 daemons, quorum a,b,c (age 26m)
    mgr: a(active, since 19h)
    mds: myfs:2 {0=myfs-d=up:active,1=myfs-a=up:active} 2 up:standby-replay
    osd: 5 osds: 5 up (since 26m), 5 in (since 46h)
    rgw: 2 daemons active (my.store.a, my.store.b)    # RGW 服务状态
 
  task status:
 
  data:
    pools:   11 pools, 177 pgs
    objects: 828 objects, 1.4 GiB
    usage:   9.4 GiB used, 241 GiB / 250 GiB avail
    pgs:     177 active+clean
 
  io:
    client:   2.8 KiB/s rd, 4 op/s rd, 0 op/s wr

查看 `RGW` 日志

[root@m1 ceph]# kubectl -n rook-ceph logs -f rook-ceph-rgw-my-store-a-847c97bc4-qpvqp

posted @ 2022-12-01 15:10 evescn 阅读(387) 评论(0) 收藏举报

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evescn

08 云原生对象存储（转载）

云原生对象存储

对象存储概述

部署 RGW 集群

RGW 高可用集群

RGW 高级调度

连接外部集群

创建 Bucket 存储桶

首先需要创建存储消费桶的 StorageClass

通过 ObjectBucketClaim 向 StorageClass 申请存储桶，创建了一个名为 ceph-bkt 的 bucket

查看 bucket 创建情况