Important

You are viewing the documentation for an older major version of the TiDB Operator tool (TiDB Operator v1.3). TiDB Operator release-1.6, the latest major version of TiDB Operator, is now stable and recommended for general use. To view this page for TiDB Operator release-1.6, click here.

Deploy TiDB on Azure AKS

This document describes how to deploy a TiDB cluster on Azure Kubernetes Service (AKS).

To deploy TiDB Operator and the TiDB cluster in a self-managed Kubernetes environment, refer to Deploy TiDB Operator and Deploy TiDB on General Kubernetes.

Prerequisites

Before deploying a TiDB cluster on Azure AKS, perform the following operations:

Install Helm 3 for deploying TiDB Operator.
Deploy a Kubernetes (AKS) cluster and install and configure az cli.
Note
To verify whether AZ CLI is configured correctly, run the az login command. If login with account credentials succeeds, AZ CLI is configured correctly. Otherwise, you need to re-configure AZ CLI.
Refer to use Ultra disks to create a new cluster that can use Ultra disks or enable Ultra disks in an exist cluster.
Acquire AKS service permissions.
If the Kubernetes version of the cluster is earlier than 1.21, install aks-preview CLI extension for using Ultra Disks and register EnableAzureDiskFileCSIDriver in your subscription.
- Install the aks-preview CLI extension:
```
az extension add --name aks-preview
```
- Register EnableAzureDiskFileCSIDriver:
```
az feature register --name EnableAzureDiskFileCSIDriver --namespace Microsoft.ContainerService --subscription ${your-subscription-id}
```

Create an AKS cluster and a node pool

Most of the TiDB cluster components use Azure disk as storage. According to AKS Best Practices, when creating an AKS cluster, it is recommended to ensure that each node pool uses one availability zone (at least 3 in total).

Create an AKS cluster with CSI enabled

To create an AKS cluster with CSI enabled, run the following command:

Note

If the Kubernetes version of the cluster is earlier than 1.21, you need to append an --aks-custom-headers flag to enable the EnableAzureDiskFileCSIDriver feature by running the following command:

# create AKS cluster
az aks create \
    --resource-group ${resourceGroup} \
    --name ${clusterName} \
    --location ${location} \
    --generate-ssh-keys \
    --vm-set-type VirtualMachineScaleSets \
    --load-balancer-sku standard \
    --node-count 3 \
    --zones 1 2 3 \
    --aks-custom-headers EnableAzureDiskFileCSIDriver=true

Create component node pools

After creating an AKS cluster, run the following commands to create component node pools. Each node pool may take two to five minutes to create. It is recommended to enable Ultra disks in the TiKV node pool. For more details about cluster configuration, refer to az aks documentation and az aks nodepool documentation.

To create a TiDB Operator and monitor pool:

az aks nodepool add --name admin \
    --cluster-name ${clusterName} \
    --resource-group ${resourceGroup} \
    --zones 1 2 3 \
    --aks-custom-headers EnableAzureDiskFileCSIDriver=true \
    --node-count 1 \
    --labels dedicated=admin

Create a PD node pool with nodeType being Standard_F4s_v2 or higher:

az aks nodepool add --name pd \
    --cluster-name ${clusterName} \
    --resource-group ${resourceGroup} \
    --node-vm-size ${nodeType} \
    --zones 1 2 3 \
    --aks-custom-headers EnableAzureDiskFileCSIDriver=true \
    --node-count 3 \
    --labels dedicated=pd \
    --node-taints dedicated=pd:NoSchedule

Create a TiDB node pool with nodeType being Standard_F8s_v2 or higher. You can set --node-count to 2 because only two TiDB nodes are required by default. You can also scale out this node pool by modifying this parameter at any time if necessary.

az aks nodepool add --name tidb \
    --cluster-name ${clusterName} \
    --resource-group ${resourceGroup} \
    --node-vm-size ${nodeType} \
    --zones 1 2 3 \
    --aks-custom-headers EnableAzureDiskFileCSIDriver=true \
    --node-count 2 \
    --labels dedicated=tidb \
    --node-taints dedicated=tidb:NoSchedule

Create a TiKV node pool with nodeType being Standard_E8s_v4 or higher:

az aks nodepool add --name tikv \
    --cluster-name ${clusterName} \
    --resource-group ${resourceGroup} \
    --node-vm-size ${nodeType} \
    --zones 1 2 3 \
    --aks-custom-headers EnableAzureDiskFileCSIDriver=true \
    --node-count 3 \
    --labels dedicated=tikv \
    --node-taints dedicated=tikv:NoSchedule \
    --enable-ultra-ssd

Deploy component node pools in availability zones

The Azure AKS cluster deploys nodes across multiple zones using "best effort zone balance". If you want to apply "strict zone balance" (not supported in AKS now), you can deploy one node pool in one zone. For example:

Create TiKV node pool 1 in zone 1:

az aks nodepool add --name tikv1 \
    --cluster-name ${clusterName} \
    --resource-group ${resourceGroup} \
    --node-vm-size ${nodeType} \
    --zones 1 \
    --aks-custom-headers EnableAzureDiskFileCSIDriver=true \
    --node-count 1 \
    --labels dedicated=tikv \
    --node-taints dedicated=tikv:NoSchedule \
    --enable-ultra-ssd

Create TiKV node pool 2 in zone 2:

az aks nodepool add --name tikv2 \
    --cluster-name ${clusterName} \
    --resource-group ${resourceGroup} \
    --node-vm-size ${nodeType} \
    --zones 2 \
    --aks-custom-headers EnableAzureDiskFileCSIDriver=true \
    --node-count 1 \
    --labels dedicated=tikv \
    --node-taints dedicated=tikv:NoSchedule \
    --enable-ultra-ssd

Create TiKV node pool 3 in zone 3:

az aks nodepool add --name tikv3 \
    --cluster-name ${clusterName} \
    --resource-group ${resourceGroup} \
    --node-vm-size ${nodeType} \
    --zones 3 \
    --aks-custom-headers EnableAzureDiskFileCSIDriver=true \
    --node-count 1 \
    --labels dedicated=tikv \
    --node-taints dedicated=tikv:NoSchedule \
    --enable-ultra-ssd

Warning

About node pool scale-in:

You can manually scale in or out an AKS cluster to run a different number of nodes. When you scale in, nodes are carefully cordoned and drained to minimize disruption to running applications. Refer to Scale the node count in an Azure Kubernetes Service (AKS) cluster.

Configure StorageClass

To improve disk IO performance, it is recommended to add mountOptions in StorageClass to configure nodelalloc and noatime. Refer to Mount the data disk ext4 filesystem with options on the target machines that deploy TiKV.

kind: StorageClass
apiVersion: storage.k8s.io/v1
# ...
mountOptions:
- nodelalloc,noatime

Deploy TiDB Operator

Deploy TiDB Operator in the AKS cluster by referring to Deploy TiDB Operator section.

Deploy a TiDB cluster and the monitoring component

This section describes how to deploy a TiDB cluster and its monitoring component on Azure AKS.

Create namespace

To create a namespace to deploy the TiDB cluster, run the following command:

kubectl create namespace tidb-cluster

Note

A namespace is a virtual cluster backed by the same physical cluster. This document takes tidb-cluster as an example. If you want to use other namespaces, modify the corresponding arguments of -n or --namespace.

Deploy

First, download the sample TidbCluster and TidbMonitor configuration files:

curl -O https://raw.githubusercontent.com/pingcap/tidb-operator/v1.3.10/examples/aks/tidb-cluster.yaml && \
curl -O https://raw.githubusercontent.com/pingcap/tidb-operator/v1.3.10/examples/aks/tidb-monitor.yaml

Refer to configure the TiDB cluster to further customize and configure the CR before applying.

Note

By default, TiDB LoadBalancer in tidb-cluster.yaml is set to "internal", indicating that the LoadBalancer is only accessible within the cluster virtual network, not externally. To access TiDB over the MySQL protocol, you need to use a bastion to access the internal host of the cluster or use kubectl port-forward. If you understand the risks of exposing the LoadBalancer publicly, you can delete the following annotation in the tidb-cluster.yaml file:

annotations:
service.beta.kubernetes.io/azure-load-balancer-internal: "true"

After deleting the annotation, the recreated LoadBalancer and its associated TiDB services will be externally accessible.

To deploy the TidbCluster and TidbMonitor CR in the AKS cluster, run the following command:

kubectl apply -f tidb-cluster.yaml -n tidb-cluster && \
kubectl apply -f tidb-monitor.yaml -n tidb-cluster

After the yaml file above is applied to the Kubernetes cluster, TiDB Operator creates the desired TiDB cluster and its monitoring component according to the yaml file.

View the cluster status

To view the status of the TiDB cluster, run the following command:

kubectl get pods -n tidb-cluster

When all the pods are in the Running or Ready state, the TiDB cluster is successfully started. For example:

NAME                              READY   STATUS    RESTARTS   AGE
tidb-discovery-5cb8474d89-n8cxk   1/1     Running   0          47h
tidb-monitor-6fbcc68669-dsjlc     3/3     Running   0          47h
tidb-pd-0                         1/1     Running   0          47h
tidb-pd-1                         1/1     Running   0          46h
tidb-pd-2                         1/1     Running   0          46h
tidb-tidb-0                       2/2     Running   0          47h
tidb-tidb-1                       2/2     Running   0          46h
tidb-tikv-0                       1/1     Running   0          47h
tidb-tikv-1                       1/1     Running   0          47h
tidb-tikv-2                       1/1     Running   0          47h

Access the database

After deploying a TiDB cluster, you can access the TiDB database to test or develop applications.

Access method

Access via Bastion

The LoadBalancer created for your TiDB cluster resides in an intranet. You can create a Bastion in the cluster virtual network to connect to an internal host and then access the database.

Note

In addition to the bastion host, you can also connect an existing host to the cluster virtual network by Peering. If the AKS cluster is created in an existing virtual network, you can use hosts in this virtual network to access the database.

Access via SSH

You can create the SSH connection to a Linux node to access the database.

Access via node-shell

You can simply use tools like node-shell to connect to nodes in the cluster, then access the database.

Access via the MySQL client

After access to the internal host via SSH, you can access the TiDB cluster through the MySQL client.

Install the MySQL client on the host:
```
sudo yum install mysql -y
```

Connect the client to the TiDB cluster:

mysql --comments -h ${tidb-lb-ip} -P 4000 -u root

${tidb-lb-ip} is the LoadBalancer IP address of the TiDB service. To obtain it, run the kubectl get svc basic-tidb -n tidb-cluster command. The EXTERNAL-IP field returned is the IP address.

For example:

$ mysql --comments -h 20.240.0.7 -P 4000 -u root
Welcome to the MariaDB monitor.  Commands end with ; or \g.
Your MySQL connection id is 1189
Server version: 5.7.25-TiDB-v4.0.2 TiDB Server (Apache License 2.0) Community Edition, MySQL 5.7 compatible

Copyright (c) 2000, 2018, Oracle, MariaDB Corporation Ab and others.

Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.

MySQL [(none)]> show status;
+--------------------+--------------------------------------+
| Variable_name      | Value                                |
+--------------------+--------------------------------------+
| Ssl_cipher         |                                      |
| Ssl_cipher_list    |                                      |
| Ssl_verify_mode    | 0                                    |
| Ssl_version        |                                      |
| ddl_schema_version | 22                                   |
| server_id          | ed4ba88b-436a-424d-9087-977e897cf5ec |
+--------------------+--------------------------------------+
6 rows in set (0.00 sec)

Note

The default authentication plugin of MySQL 8.0 is updated from mysql_native_password to caching_sha2_password. Therefore, if you access the TiDB service (earlier than v4.0.7) by using MySQL 8.0 client via password authentication, you need to specify the --default-auth=mysql_native_password parameter.
By default, TiDB (starting from v4.0.2) periodically shares usage details with PingCAP to help understand how to improve the product. For details about what is shared and how to disable the sharing, see Telemetry.

Access the Grafana monitoring dashboard

Obtain the LoadBalancer IP address of Grafana:

kubectl -n tidb-cluster get svc basic-grafana

For example:

kubectl get svc basic-grafana
NAME            TYPE           CLUSTER-IP      EXTERNAL-IP   PORT(S)          AGE
basic-grafana   LoadBalancer   10.100.199.42   20.240.0.8    3000:30761/TCP   121m

In the output above, the EXTERNAL-IP column is the LoadBalancer IP address.

You can access the ${grafana-lb}:3000 address using your web browser to view monitoring metrics. Replace ${grafana-lb} with the LoadBalancer IP address.

Note

The default Grafana username and password are both admin.

Access TiDB Dashboard

See Access TiDB Dashboard for instructions about how to securely allow access to TiDB Dashboard.

Upgrade

To upgrade the TiDB cluster, execute the following command:

kubectl patch tc basic -n tidb-cluster --type merge -p '{"spec":{"version":"${version}"}}`.

The upgrade process does not finish immediately. You can view the upgrade progress by running the kubectl get pods -n tidb-cluster --watch command.

Scale out

Before scaling out the cluster, you need to scale out the corresponding node pool so that the new instances have enough resources for operation.

This section describes how to scale out the AKS node pool and TiDB components.

Scale out AKS node pool

When scaling out TiKV, the node pools must be scaled out evenly among availability zones. The following example shows how to scale out the TiKV node pool of the ${clusterName} cluster to 6 nodes:

az aks nodepool scale \
    --resource-group ${resourceGroup} \
    --cluster-name ${clusterName} \
    --name ${nodePoolName} \
    --node-count 6

For more information on node pool management, refer to az aks nodepool.

Scale out TiDB components

After scaling out the AKS node pool, run the kubectl edit tc basic -n tidb-cluster command with replicas of each component set to desired value. The scaling-out process is then completed.

Deploy TiFlash/TiCDC

TiFlash is the columnar storage extension of TiKV.

TiCDC is a tool for replicating the incremental data of TiDB by pulling TiKV change logs.

The two components are not required in the deployment. This section shows a quick start example.

Add node pools

Add a node pool for TiFlash/TiCDC respectively. You can set --node-count as required.

Create a TiFlash node pool with nodeType being Standard_E8s_v4 or higher:

az aks nodepool add --name tiflash \
    --cluster-name ${clusterName} \
    --resource-group ${resourceGroup} \
    --node-vm-size ${nodeType} \
    --zones 1 2 3 \
    --aks-custom-headers EnableAzureDiskFileCSIDriver=true \
    --node-count 3 \
    --labels dedicated=tiflash \
    --node-taints dedicated=tiflash:NoSchedule

Create a TiCDC node pool with nodeType being Standard_E16s_v4 or higher:

az aks nodepool add --name ticdc \
    --cluster-name ${clusterName} \
    --resource-group ${resourceGroup} \
    --node-vm-size ${nodeType} \
    --zones 1 2 3 \
    --aks-custom-headers EnableAzureDiskFileCSIDriver=true \
    --node-count 3 \
    --labels dedicated=ticdc \
    --node-taints dedicated=ticdc:NoSchedule

Configure and deploy

To deploy TiFlash, configure spec.tiflash in tidb-cluster.yaml. The following is an example:
```
spec:
  ...
  tiflash:
    baseImage: pingcap/tiflash
    maxFailoverCount: 0
    replicas: 1
    storageClaims:
    - resources:
        requests:
          storage: 100Gi
    tolerations:
    - effect: NoSchedule
      key: dedicated
      operator: Equal
      value: tiflash
```
For other parameters, refer to Configure a TiDB Cluster.
Warning
TiDB Operator automatically mounts PVs in the order of the configuration in the storageClaims list. Therefore, if you need to add disks for TiFlash, make sure that you add the disks only to the end of the original configuration in the list. In addition, you must not alter the order of the original configuration.

To deploy TiCDC, configure spec.ticdc in tidb-cluster.yaml. The following is an example:

spec:
  ...
  ticdc:
    baseImage: pingcap/ticdc
    replicas: 1
    tolerations:
    - effect: NoSchedule
      key: dedicated
      operator: Equal
      value: ticdc

Modify replicas as required.

Finally, run the kubectl -n tidb-cluster apply -f tidb-cluster.yaml command to update the TiDB cluster configuration.

For detailed CR configuration, refer to API references and Configure a TiDB Cluster.

Use other Disk volume types

Azure disks support multiple volume types. Among them, UltraSSD delivers low latency and high throughput and can be enabled by performing the following steps:

Enable Ultra disks on an existing cluster and create a storage class for UltraSSD:

apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
  name: ultra
provisioner: disk.csi.azure.com
parameters:
  skuname: UltraSSD_LRS  # alias: storageaccounttype, available values: Standard_LRS, Premium_LRS, StandardSSD_LRS, UltraSSD_LRS
  cachingMode: None
reclaimPolicy: Delete
allowVolumeExpansion: true
volumeBindingMode: WaitForFirstConsumer
mountOptions:
- nodelalloc,noatime

You can add more Driver Parameters as required.

In tidb-cluster.yaml, specify the ultra storage class to apply for the UltraSSD volume type through the storageClassName field.
The following is a TiKV configuration example you can refer to:
```
spec:
  tikv:
    ...
    storageClassName: ultra
```

You can use any supported Azure disk type. It is recommended to use Premium_LRS or UltraSSD_LRS.

For more information about the storage class configuration and Azure disk types, refer to Storage Class documentation and Azure Disk Types.

Use local storage

Use Azure LRS disks for storage in production environment. To simulate bare-metal performance, use additional NVMe SSD local store volumes provided by some Azure instances. You can choose such instances for the TiKV node pool to achieve higher IOPS and lower latency.

Note

You cannot dynamically change the storage class of a running TiDB cluster. In this case, create a new cluster for testing.
Local NVMe Disks are ephemeral. Data will be lost on these disks if you stop/deallocate your node. When the node is reconstructed, you need to migrate data in TiKV. If you do not want to migrate data, it is recommended not to use the local disk in a production environment.

For instance types that provide local disks, refer to Lsv2-series. The following takes Standard_L8s_v2 as an example:

Create a node pool with local storage for TiKV.

Modify the instance type of the TiKV node pool in the az aks nodepool add command to Standard_L8s_v2:

az aks nodepool add --name tikv \
    --cluster-name ${clusterName}  \
    --resource-group ${resourceGroup} \
    --node-vm-size Standard_L8s_v2 \
    --zones 1 2 3 \
    --aks-custom-headers EnableAzureDiskFileCSIDriver=true \
    --node-count 3 \
    --enable-ultra-ssd \
    --labels dedicated=tikv \
    --node-taints dedicated=tikv:NoSchedule

If the TiKV node pool already exists, you can either delete the old group and then create a new one, or change the group name to avoid conflict.

Deploy the local volume provisioner.
You need to use the local-volume-provisioner to discover and manage the local storage. Run the following command to deploy and create a local-storage storage class:
```
kubectl apply -f https://raw.githubusercontent.com/pingcap/tidb-operator/v1.3.10/manifests/eks/local-volume-provisioner.yaml
```
Use local storage.
After the steps above, the local volume provisioner can discover all the local NVMe SSD disks in the cluster.
Add the tikv.storageClassName field to the tidb-cluster.yaml file and set the value of the field to local-storage.
For more information, refer to Deploy TiDB cluster and its monitoring components

Configure TiDB monitoring

For more information, see Deploy monitoring and alerts for a TiDB cluster.

Note

TiDB monitoring does not persist data by default. To ensure long-term data availability, it is recommended to persist monitoring data. TiDB monitoring does not include Pod CPU, memory, or disk monitoring, nor does it have an alerting system. For more comprehensive monitoring and alerting, it is recommended to Set kube-prometheus and AlertManager.

Collect logs

System and application logs can be useful for troubleshooting issues and automating operations. By default, TiDB components output logs to the container's stdout and stderr, and log rotation is automatically performed based on the container runtime environment. When a Pod restarts, container logs will be lost. To prevent log loss, it is recommended to Collect logs of TiDB and its related components.

Deploy TiDB on Azure AKS

Prerequisites

Create an AKS cluster and a node pool

Create an AKS cluster with CSI enabled

Create component node pools

Deploy component node pools in availability zones

Configure StorageClass

Deploy TiDB Operator

Deploy a TiDB cluster and the monitoring component

Create namespace

Deploy

View the cluster status

Access the database

Access method

Access via the MySQL client

Access the Grafana monitoring dashboard

Access TiDB Dashboard

Upgrade

Scale out

Scale out AKS node pool

Scale out TiDB components

Deploy TiFlash/TiCDC

Add node pools

Configure and deploy

Use other Disk volume types

Use local storage

Configure TiDB monitoring

Collect logs

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