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Create Azure Arc-enabled SQLMI instance on-premises with Azure-cli

Prerequisites & environments

HostName CPU & MEM Role OS
node1.io 4Core 16GB k8s master centos7.8
node2.io 4Core 20GB k8s worker centos7.8
node3.io 4Core 20GB k8s worker centos7.8

Setup k8s clsuter on-premises

https://github.com/microsoft/sql-server-samples/tree/master/samples/features/sql-big-data-cluster/deployment/kubeadm/ubuntu

Instructions

  • Start a sudo shell context and Execute setup-k8s-prereqs.sh script on each machine
  • Execute setup-k8s-master.sh script on the machine designated as Kubernetes master (not under sudo su as otherwise you'll setup K8S .kube/config permissions for root)
  • After successful initialization of the Kubernetes master, follow the kubeadm join commands output by the setup script on each agent machine
  • Execute setup-volumes-agent.sh script on each agent machine to create volumes for local storage
  • Execute kubectl apply -f local-storage-provisioner.yaml against the Kubernetes cluster to create the local storage provisioner. This will create a Storage Class named "local-storage".

Create data controller:

https://docs.microsoft.com/en-us/azure/azure-arc/data/create-data-controller-indirect-cli?tabs=windows

[root@node1 arc]# kubectl get storageclasses.storage.k8s.io
NAME            PROVISIONER                    RECLAIMPOLICY   VOLUMEBINDINGMODE      ALLOWVOLUMEEXPANSION   AGE
local-storage   kubernetes.io/no-provisioner   Delete          WaitForFirstConsumer   false                  39h  
[root@node2 ~]# cat /etc/fstab | grep data
UUID=49d8fe73-dfc5-4bca-9006-7c3feebdf3fc /data xfs defaults 0 0
[root@node2 ~]# df -Th | grep '/data'
/dev/sdb1                 xfs       500G  568M  500G   1% /data
tmpfs                     tmpfs     9.8G  4.0M  9.8G   1% /var/lib/kubelet/pods/5092d08d-a693-4550-b127-35ce23c261cc/volumes/kubernetes.io~empty-dir/data
[root@node2 ~]# ls /data/local-storage/
vol1   vol11  vol13  vol15  vol17  vol19  vol20  vol22  vol24  vol26  vol28  vol3   vol31  vol33  vol35  vol37  vol39  vol40  vol42  vol44  vol46  vol48  vol5   vol6  vol8
vol10  vol12  vol14  vol16  vol18  vol2   vol21  vol23  vol25  vol27  vol29  vol30  vol32  vol34  vol36  vol38  vol4   vol41  vol43  vol45  vol47  vol49  vol50  vol7  vol9
[root@node1 arc]# kubectl get pv -n local-storage
NAME                CAPACITY   ACCESS MODES   RECLAIM POLICY   STATUS      CLAIM                                            STORAGECLASS    REASON   AGE
local-pv-119ebf20   499Gi      RWO            Delete           Available                                                    local-storage            23h
local-pv-1245a771   499Gi      RWO            Delete           Available                                                    local-storage            23h
local-pv-13a47426   499Gi      RWO            Delete           Bound       arc/logs-metricsdb-0                             local-storage            39h
local-pv-17e97ec9   499Gi      RWO            Delete           Available                                                    local-storage            39h
local-pv-18b04775   499Gi      RWO            Delete           Available                                                    local-storage            19h
[root@node1 arc]# az arcdata dc create --connectivity-mode indirect --name onpremises --k8s-namespace arc --subscription xxxx-xxxxx-xxxx-xxxx --resource-group azarclab --location eastus --storage-class local-storage --profile-name azure-arc-kubeadm --infrastructure onpremises --use-k8s
Subscription 'xxxx-xxxxx-xxxx-xxxx' not recognized.
To not see this warning, first login to Azure.

Using subscription 'xxxx-xxxxx-xxxx-xxxx'.

Monitoring administrator username:admin
Monitoring administrator password:
Confirm Monitoring administrator password:

Deploying data controller

NOTE: Data controller creation can take a significant amount of time depending on
configuration, network speed, and the number of nodes in the cluster.

Data controller successfully deployed.
{}
[root@node1 arc]# kubectl get datacontroller -n arc
NAME         STATE
onpremises   Ready
[root@node1 arc]# kubectl get pod -n arc | grep -v sql
NAME                           READY   STATUS      RESTARTS   AGE
arc-bootstrapper-job-94x7m     0/1     Completed   0          14h
bootstrapper-cbf5bf94d-z9l95   1/1     Running     1          14h
control-f5d8t                  2/2     Running     0          14h
controldb-0                    2/2     Running     0          14h
logsdb-0                       3/3     Running     0          14h
logsui-896pw                   3/3     Running     3          14h
metricsdb-0                    2/2     Running     2          14h
metricsdc-2lr8t                2/2     Running     0          14h
metricsdc-79h4t                2/2     Running     2          14h
metricsui-zjwnr                2/2     Running     0          14h

Create SQLMI instance

https://docs.microsoft.com/en-us/azure/azure-arc/data/create-data-controller-indirect-cli?tabs=windows

PS C:\Users\hubo> az sql mi-arc create --name sql1 --k8s-namespace arc --use-k8s --time-zone Asia/Shanghai --agent-enabled true --dev --tier BusinessCritical --replicas 2
Deploying sql1 in namespace `arc`
sql1 is Ready
[root@node1 arc]# kubectl get pod -n arc
NAME                           READY   STATUS      RESTARTS   AGE
arc-bootstrapper-job-94x7m     0/1     Completed   0          14h
bootstrapper-cbf5bf94d-z9l95   1/1     Running     1          14h
control-f5d8t                  2/2     Running     0          14h
controldb-0                    2/2     Running     0          14h
logsdb-0                       3/3     Running     0          14h
logsui-896pw                   3/3     Running     3          14h
metricsdb-0                    2/2     Running     2          14h
metricsdc-2lr8t                2/2     Running     0          14h
metricsdc-79h4t                2/2     Running     2          14h
metricsui-zjwnr                2/2     Running     0          14h
sql1-0                         4/4     Running     0          31m
sql1-1                         4/4     Running     0          31m
sql1-ha-0                      2/2     Running     0          32m

Connect with SQLMI insatnce

[root@node1 arc]# kubectl get sqlmi -n arc
NAME   STATUS   REPLICAS   PRIMARY-ENDPOINT     AGE
sql1   Ready    2          10.157.21.15,32697   22m
[root@node1 arc]# yum install mssql-tools -y
[root@node1 arc]# /opt/mssql-tools/bin/sqlcmd -S 10.157.21.15,32697 -Uadmin -Q 'select @@version'
Password:
                                                                                                                                                                             
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Microsoft Azure SQL Managed Instance - Azure Arc - 16.0.312.4243 (X64)
        Jul  2 2022 13:16:53
        Copyright (C) 2022 Microsoft Corporation
        Business Critical (64-bit) on Linux (Ubuntu 20.04.4 LTS) <X64>

(1 rows affected)

Manager data with Azure Data Studio

https://docs.microsoft.com/en-us/sql/azure-data-studio/download-azure-data-studio?view=sql-server-ver16

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posted @ 2022-09-09 10:01  Jas0n0ss  阅读(77)  评论(0)  编辑  收藏  举报