title | summary | category |
---|---|---|
Deploy TiDB on Alibaba Cloud Kubernetes |
Learn how to deploy a TiDB cluster on Alibaba Cloud Kubernetes. |
how-to |
This document describes how to deploy a TiDB cluster on Alibaba Cloud Kubernetes with your laptop (Linux or macOS) for development or testing.
-
aliyun-cli >= 3.0.15 and configure aliyun-cli
Note:
The access key must be granted permissions to control the corresponding resources.
-
kubectl >= 1.12
-
helm >= 2.11.0 and < 2.16.4
-
jq >= 1.6
-
terraform 0.12.*
You can use Cloud Shell of Alibaba Cloud to perform operations. All the tools have been pre-installed and configured in the Cloud Shell of Alibaba Cloud.
To deploy a TiDB cluster, make sure you have the following privileges:
- AliyunECSFullAccess
- AliyunESSFullAccess
- AliyunVPCFullAccess
- AliyunSLBFullAccess
- AliyunCSFullAccess
- AliyunEIPFullAccess
- AliyunECIFullAccess
- AliyunVPNGatewayFullAccess
- AliyunNATGatewayFullAccess
In the default configuration, you will create:
-
A new VPC
-
An ECS instance as the bastion machine
-
A managed ACK (Alibaba Cloud Kubernetes) cluster with the following ECS instance worker nodes:
- An auto-scaling group of 2 * instances (2 cores, 2 GB RAM). The default auto-scaling group of managed Kubernetes must have at least two instances to host the whole system service, like CoreDNS
- An auto-scaling group of 3 *
ecs.g5.large
instances for deploying the PD cluster - An auto-scaling group of 3 *
ecs.i2.2xlarge
instances for deploying the TiKV cluster - An auto-scaling group of 2 *
ecs.c5.4xlarge
instances for deploying the TiDB cluster - An auto-scaling group of 1 *
ecs.c5.xlarge
instance for deploying monitoring components - A 100 GB cloud disk used to store monitoring data
All the instances except ACK mandatory workers are deployed across availability zones (AZs) to provide cross-AZ high availability. The auto-scaling group ensures the desired number of healthy instances, so the cluster can auto-recover from node failure or even AZ failure.
-
Configure the target Region and Alibaba Cloud key (you can also set these variables in the
terraform
command prompt):{{< copyable "shell-regular" >}}
export TF_VAR_ALICLOUD_REGION=${REGION} && \ export TF_VAR_ALICLOUD_ACCESS_KEY=${ACCESS_KEY} && \ export TF_VAR_ALICLOUD_SECRET_KEY=${SECRET_KEY}
The
variables.tf
file contains default settings of variables used for deploying the cluster. You can change it or use the-var
option to override a specific variable to fit your need. -
Use Terraform to set up the cluster.
{{< copyable "shell-regular" >}}
git clone --depth=1 https://github.com/pingcap/tidb-operator && \ cd tidb-operator/deploy/aliyun
You can create or modify
terraform.tfvars
to set the values of the variables, and configure the cluster to fit your needs. You can view the configurable variables and their descriptions invariables.tf
. The following is an example of how to configure the ACK cluster name, the TiDB cluster name, the TiDB Operator version, and the number of PD, TiKV, and TiDB nodes.cluster_name = "testack" tidb_cluster_name = "testdb" tikv_count = 3 tidb_count = 2 pd_count = 3 operator_version = "v1.1.0-rc.1"
Note:
Check the
operator_version
in thevariables.tf
file for the default TiDB Operator version of the current scripts. If the default version is not your desired one, configureoperator_version
interraform.tfvars
.After the configuration, execute the following commands to initialize and deploy the cluster:
{{< copyable "shell-regular" >}}
terraform init
Input "yes" to confirm execution when you run the following
apply
command:{{< copyable "shell-regular" >}}
terraform apply
If you get an error while running
terraform apply
, fix the error (for example, lack of permission) according to the error description and runterraform apply
again.It takes 5 to 10 minutes to create the whole stack using
terraform apply
. Once installation is complete, the basic cluster information is printed:Apply complete! Resources: 3 added, 0 changed, 1 destroyed. Outputs: bastion_ip = 47.96.174.214 cluster_id = c2d9b20854a194f158ef2bc8ea946f20e kubeconfig_file = /tidb-operator/deploy/aliyun/credentials/kubeconfig monitor_endpoint = not_created region = cn-hangzhou ssh_key_file = /tidb-operator/deploy/aliyun/credentials/my-cluster-keyZ.pem tidb_endpoint = not_created tidb_version = v3.0.0 vpc_id = vpc-bp1v8i5rwsc7yh8dwyep5
Note:
You can use the
terraform output
command to get the output again. -
You can then interact with the ACK cluster using
kubectl
orhelm
:{{< copyable "shell-regular" >}}
export KUBECONFIG=$PWD/credentials/kubeconfig
{{< copyable "shell-regular" >}}
kubectl version
{{< copyable "shell-regular" >}}
helm ls
-
Prepare the
TidbCluster
andTidbMonitor
CR files:{{< copyable "shell-regular" >}}
cp manifests/db.yaml.example db.yaml && cp manifests/db-monitor.yaml.example db-monitor.yaml
To complete the CR file configuration, refer to TiDB Operator API documentation and Configuring TiDB Cluster.
Note:
- Replace all the
TIDB_CLUSTER_NAME
in thedb.yaml
anddb-monitor.yaml
files withtidb_cluster_name
configured in the deployment of ACK. - Make sure the number of PD, TiKV, and TiDB nodes is the same as the
replicas
value of the corresponding component indb.yaml
. - Make sure
spec.initializer.version
indb-monitor.yaml
is the same asspec.version
indb.yaml
. Otherwise, the monitor might not display correctly.
- Replace all the
-
Create
Namespace
:{{< copyable "shell-regular" >}}
kubectl --kubeconfig credentials/kubeconfig create namespace ${namespace}
Note:
You can give the
namespace
a name that is easy to memorize, such as the same name astidb_cluster_name
. -
Deploy the TiDB cluster:
{{< copyable "shell-regular" >}}
kubectl --kubeconfig credentials/kubeconfig create -f db.yaml -n ${namespace} && kubectl --kubeconfig credentials/kubeconfig create -f db-monitor.yaml -n ${namespace}
You can connect the TiDB cluster via the bastion instance. All necessary information is in the output printed after installation is finished (replace the ${}
parts with values from the output):
{{< copyable "shell-regular" >}}
ssh -i credentials/${cluster_name}-key.pem root@${bastion_ip}
{{< copyable "shell-regular" >}}
mysql -h ${tidb_lb_ip} -P 4000 -u root
tidb_lb_ip
is the LoadBalancer IP of the TiDB service.
Visit <monitor-lb>:3000
to view the Grafana dashboards. monitor-lb
is the LoadBalancer IP of the Monitor service.
The initial login user account and password:
- User: admin
- Password: admin
Warning:
If you already have a VPN connecting to your VPC or plan to set up one, it is strongly recommended that you go to the
spec.grafana.service.annotations
section in thedb-monitor.yaml
file and setservice.beta.kubernetes.io/alicloud-loadbalancer-address-type
tointranet
for security.
To upgrade the TiDB cluster, modify the spec.version
variable by executing kubectl --kubeconfig credentials/kubeconfig edit tc ${tidb_cluster_name} -n ${namespace}
.
This may take a while to complete. You can watch the process using the following command:
{{< copyable "shell-regular" >}}
kubectl get pods --namespace ${namespace} -o wide --watch
To scale the TiDB cluster, modify tikv_count
or tidb_count
in the terraform.tfvars
file, and then run terraform apply
to scale out the number of nodes for the corresponding components.
After the nodes scale out, modify the replicas
of the corresponding components by running kubectl --kubeconfig credentials/kubeconfig edit tc ${tidb_cluster_name} -n ${namespace}
.
You can set the variables in terraform.tfvars
to configure TiDB Operator. Most configuration items can be modified after you understand the semantics based on the comments of the variable
. Note that the operator_helm_values
configuration item can provide a customized values.yaml
configuration file for TiDB Operator. For example:
-
Set
operator_helm_values
interraform.tfvars
:operator_helm_values = "./my-operator-values.yaml"
-
Set
operator_helm_values
inmain.tf
:operator_helm_values = file("./my-operator-values.yaml")
In the default configuration, the Terraform script creates a new VPC. To use the existing VPC, set vpc_id
in variable.tf
. In this case, Kubernetes nodes are not deployed in AZs with vswitch not configured.
See TiDB Operator API Documentation and Configuring TiDB Cluster.
To manage multiple TiDB clusters in a single Kubernetes cluster, you need to edit ./main.tf
and add the tidb-cluster
declaration based on your needs. For example:
module "tidb-cluster-dev" {
source = "../modules/aliyun/tidb-cluster"
providers = {
helm = helm.default
}
cluster_name = "dev-cluster"
ack = module.tidb-operator
pd_count = 1
tikv_count = 1
tidb_count = 1
}
module "tidb-cluster-staging" {
source = "../modules/aliyun/tidb-cluster"
providers = {
helm = helm.default
}
cluster_name = "staging-cluster"
ack = module.tidb-operator
pd_count = 3
tikv_count = 3
tidb_count = 2
}
Note:
You need to set a unique
cluster_name
for each TiDB cluster.
All the configurable parameters in tidb-cluster
are as follows:
Parameter | Description | Default value |
---|---|---|
ack |
The structure that enwraps the target Kubernetes cluster information (required) | nil |
cluster_name |
The TiDB cluster name (required and unique) | nil |
tidb_version |
The TiDB cluster version | v3.0.1 |
tidb_cluster_chart_version |
tidb-cluster helm chart version |
v1.0.1 |
pd_count |
The number of PD nodes | 3 |
pd_instance_type |
The PD instance type | ecs.g5.large |
tikv_count |
The number of TiKV nodes | 3 |
tikv_instance_type |
The TiKV instance type | ecs.i2.2xlarge |
tidb_count |
The number of TiDB nodes | 2 |
tidb_instance_type |
The TiDB instance type | ecs.c5.4xlarge |
monitor_instance_type |
The instance type of monitoring components | ecs.c5.xlarge |
override_values |
The values.yaml configuration file of the TiDB cluster. You can read it using the file() function |
nil |
local_exec_interpreter |
The interpreter that executes the command line instruction | ["/bin/sh", "-c"] |
create_tidb_cluster_release |
Whether to create the TiDB cluster using Helm | false |
It is recommended to use a separate Terraform module to manage a specific Kubernetes cluster. (A Terraform module is a directory that contains the .tf
script.)
deploy/aliyun
combines multiple reusable Terraform scripts in deploy/modules
. To manage multiple clusters, perform the following operations in the root directory of the tidb-operator
project:
-
Create a directory for each cluster. For example:
{{< copyable "shell-regular" >}}
mkdir -p deploy/aliyun-staging
-
Refer to
main.tf
indeploy/aliyun
and write your own script. For example:provider "alicloud" { region = ${REGION} access_key = ${ACCESS_KEY} secret_key = ${SECRET_KEY} } module "tidb-operator" { source = "../modules/aliyun/tidb-operator" region = ${REGION} access_key = ${ACCESS_KEY} secret_key = ${SECRET_KEY} cluster_name = "example-cluster" key_file = "ssh-key.pem" kubeconfig_file = "kubeconfig" } provider "helm" { alias = "default" insecure = true install_tiller = false kubernetes { config_path = module.tidb-operator.kubeconfig_filename } } module "tidb-cluster" { source = "../modules/aliyun/tidb-cluster" providers = { helm = helm.default } cluster_name = "example-cluster" ack = module.tidb-operator } module "bastion" { source = "../modules/aliyun/bastion" bastion_name = "example-bastion" key_name = module.tidb-operator.key_name vpc_id = module.tidb-operator.vpc_id vswitch_id = module.tidb-operator.vswitch_ids[0] enable_ssh_to_worker = true worker_security_group_id = module.tidb-operator.security_group_id }
You can customize this script. For example, you can remove the module "bastion"
declaration if you do not need the bastion machine.
Note:
You can copy the
deploy/aliyun
directory. But you cannot copy a directory on which theterraform apply
operation is currently performed. In this case, it is recommended to clone the repository again and then copy it.
-
Refer to Destroy a TiDB cluster to delete the cluster.
-
Destroy the ACK cluster by running the following command:
{{< copyable "shell-regular" >}}
terraform destroy
If the Kubernetes cluster is not successfully created, the destroy
operation might return an error and fail. In such cases, manually remove the Kubernetes resources from the local state:
{{< copyable "shell-regular" >}}
terraform state list
{{< copyable "shell-regular" >}}
terraform state rm module.ack.alicloud_cs_managed_kubernetes.k8s
It may take a long time to finish destroying the cluster.
Note:
You have to manually delete the cloud disk used by the components in the Alibaba Cloud console.
You cannot change pod cidr
, service cidr
and worker instance types once the cluster is created.