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Setting up MySQL Replication Clusters in Kubernetes


  |  by Kublr Team 

MySQL replication is a valuable feature and asset in Kubernetes (K8S), allowing for redundancy, increased availability and potential performance improvements. Follow this guide to learn how to setup your MySQL replication cluster.

We will use a traditional slave/master set up with asynchronous replication, configurable replication, depending on user configuration, and no requirement for a constant connection. For the official line on MySQL and more information plus technical details around replication, check out the MySQL documentation.

1. First Step

In this example, we are using Vagrant as a configuration manager on Mac OS X to create the Kubernetes environment. To follow this guide, please install Vagrant on your host machine. You will also need a virtualization tool, for example Oracle’s Virtual Box or VMware Fusion.

2. Setting up the K8S Environment

With a variety of ways to configure and setup your Kubernetes cluster, your existing system may vary. In this instance, we are using Vagrant (the Vagrantfile is provided by the CoreOS setup guide), to set up the environment, making use of a single controller node and a set of three worker (slave) nodes.

After setting up Vagrant, check the state of the environment by running these commands…

➜  vagrant git:(master) ✗ vagrant status
Current machine states:
e1                        running (virtualbox)
c1                        running (virtualbox)
w1                        running (virtualbox)
w2                        running (virtualbox)
w3                        running (virtualbox)

This environment represents multiple VMs. The VMs are all listed
above with their current state. For more information about a specific
VM, run`vagrant status NAME’.

➜  vagrant git:(master) ✗ kubectl get nodes
NAME           STATUS                     AGE
172.17.4.101   Ready,SchedulingDisabled   23m
172.17.4.201   Ready                      23m
172.17.4.202   Ready                      23m
172.17.4.203   Ready                      21m
➜  vagrant git:(master) ✗

e1 is etcd node, c1 is controller node, and w1, w2, w3 are worker nodes.

3. Prepare Your MySQL Docker Image

Build the Docker Image

Having setup the replication cluster, we’ll modify the Docker file and build a Docker image with MySQL. Again, we follow the official guidance based on the MySQL Docker image.

For the master:
Edit the Dockerfile, and add the following lines:

RUN sed -i '/\[mysqld\]/a server-id=1\nlog-bin' /etc/mysql/mysql.conf.d/mysqld.cnf

Edit docker-entrypoint.sh file to create a user and password for replication:

echo "CREATE USER '$MYSQL_REPLICATION_USER'@'%' IDENTIFIED BY '$MYSQL_REPLICATION_PASSWORD' ;" | "${mysql[@]}"
echo "GRANT REPLICATION SLAVE ON *.* TO '$MYSQL_REPLICATION_USER'@'%' IDENTIFIED BY '$MYSQL_REPLICATION_PASSWORD' ;" | "${mysql[@]}"
echo 'FLUSH PRIVILEGES ;' | "${mysql[@]}"

We use environment variables MYSQL_REPLICATION_USER and MYSQL_REPLICATION_PASSWORD for user and password configuration. These environment variables will be set while the pod is created in Kubernetes.

Click the link to view the dockerfile and docker-entrypoint.sh for building the master.

For the slave:

Edit the Dockerfile, and add the following lines:

RUN RAND="$(date +%s | rev | cut -c 1-2)$(echo ${RANDOM})" && sed -i '/\[mysqld\]/a server-id='$RAND'\nlog-bin' /etc/mysql/mysql.conf.d/mysqld.cnf

The server-id use random number.
Edit docker-entrypoint.sh to add the master.

echo "STOP SLAVE;" | "${mysql[@]}"
echo "CHANGE MASTER TO master_host='$MYSQL_MASTER_SERVICE_HOST', master_user='$MYSQL_REPLICATION_USER', master_password='$MYSQL_REPLICATION_PASSWORD' ;" | "${mysql[@]}"
echo "START SLAVE;" | "${mysql[@]}"

The master host is MYSQL_MASTER_SERVICE_HOST which will be the service name of the master pod in Kubernetes. For more information visit Kubernetes’ container lifecycle hooks guide.

Click the link to view the docker-entrypoint.sh for building the slave.

Finally, we can build the MySQL Master image and the MySQL Slave images, based on their Dockerfile.

docker build -t mysql-master:0.1 .
docker build -t mysql-slave:0.1 .

4. Deploy to Kubernetes

We now deploy the MySQL replication cluster to kubernetes using the kubectl command.

4.1 Deploy MySQL Master

Create a replication controller and service for the MySQL Master node. The yaml file we use to create replication controller and service are:

$ more mysql-master-rc.yaml
apiVersion: v1
kind: ReplicationController
metadata:
  name: mysql-master
  labels:
    name: mysql-master
spec:
  replicas: 1
  selector:
    name: mysql-master
  template:
    metadata:
      labels:
        name: mysql-master
    spec:
      containers:
        - name: master
          image: mysql-master:0.1
          ports:
            - containerPort: 3306
          env:
            - name: MYSQL_ROOT_PASSWORD
              value: "test"
            - name: MYSQL_REPLICATION_USER
              value: 'demo'
            - name: MYSQL_REPLICATION_PASSWORD
              value: 'demo'
$ more mysql-master-service.yaml
apiVersion: v1
kind: Service
metadata:
  name: mysql-master
  labels:
    name: mysql-master
spec:
  ports:
    - port: 3306
      targetPort: 3306
  selector:
      name: mysql-master

Now, we will use kubectl to ar the controller and service:

$ kubectl create -f mysql-master-rc.yaml
$ kubectl create -f mysql-master-service.yaml

It will take some time to create the pod because it needs to download the docker image.

$ kubectl get pods
NAME                 READY     STATUS    RESTARTS   AGE
mysql-master-95j7d   1/1       Running   0          29m
$ kubectl get svc
NAME           CLUSTER-IP   EXTERNAL-IP   PORT(S)    AGE
kubernetes     10.3.0.1     <none>        443/TCP    23h
mysql-master   10.3.0.29    <none>        3306/TCP   25m

4.2 Deploy MySQL Slave

As with the master node, we will use two yaml files to create the replication controller and service for the MySQL slave.

$ more mysql-slave-rc.yaml
apiVersion: v1
kind: ReplicationController
metadata:
  name: mysql-slave
  labels:
    name: mysql-slave
spec:
  replicas: 1
  selector:
    name: mysql-slave
  template:
    metadata:
      labels:
        name: mysql-slave
    spec:
      containers:
        - name: slave
          image: mysql-slave:0.1
          ports:
            - containerPort: 3306
          env:
            - name: MYSQL_ROOT_PASSWORD
              value: "test"
            - name: MYSQL_REPLICATION_USER
              value: 'demo'
            - name: MYSQL_REPLICATION_PASSWORD
              value: 'demo'
$ more mysql-slave-service.yaml
apiVersion: v1
kind: Service
metadata:
  name: mysql-slave
  labels:
    name: mysql-slave
spec:
  ports:
    - port: 3306
      targetPort: 3306
  selector:
      name: mysql-slave

Now, we will use kubectl to add the controller and service:

$ kubectl create -f mysql-slave-rc.yaml
$ kubectl create -f mysql-slave-service.yaml

After these tasks have been performed, we should check the status through kubectl.

$ kubectl get pods -o wide
NAME                 READY     STATUS    RESTARTS   AGE       IP          NODE
mysql-master-95j7d   1/1       Running   0          33m       10.2.64.5   172.17.4.201
mysql-slave-gr41w    1/1       Running   0          23m       10.2.45.3   172.17.4.202
$ kubectl get svc
NAME           CLUSTER-IP   EXTERNAL-IP   PORT(S)    AGE
kubernetes     10.3.0.1     <none>        443/TCP    23h
mysql-master   10.3.0.29    <none>        3306/TCP   28m
mysql-slave    10.3.0.5     <none>        3306/TCP   22m

5. Test Your Setup

5.1 Create Your Database on Master

First, we will check the MySQL status both on master and slave. Go to the master pod and execute the following commands to check the MySQL status (follow the same steps for the slave node).

$ kubectl exec -it mysql-master-95j7d /bin/bash
root@mysql-master-95j7d:/# mysql -u root -p
Enter password:
Welcome to the MySQL monitor.  Commands end with ; or \g.
Your MySQL connection id is 9
Server version: 8.0.0-dmr-log MySQL Community Server (GPL)Copyright (c) 2000, 2016, Oracle and/or its affiliates. All rights reserved.

Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners.

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

mysql> show databases;
+--------------------+
| Database           |
+--------------------+
| information_schema |
| mysql              |
| performance_schema |
| sys                |
+--------------------+
4 rows in set (0.00 sec)

mysql>

Note
mysql-master-95j7d is the name of master pod and the root password of MySQL is test.

Then, create a database and add one table with a several rows.
On the master node, we do:

mysql> create database demo;
Query OK, 1 row affected (0.02 sec)

mysql> use demo;
Database changed
mysql> create table user(id int(10), name char(20));
Query OK, 0 rows affected (0.03 sec)

mysql> insert into user values(100, 'user1');
Query OK, 1 row affected (0.00 sec)

mysql> select * from user;
+------+-------+
| id   | name  |
+------+-------+
|  100 | user1 |
+------+-------+
1 row in set (0.00 sec)

mysql>

5.1 Check Synchronization on Slave

Go to the slave node kubectl exec -it mysql-slave-gr41w /bin/bash and ensure the table has been replicated:

mysql> show slave status\G;
Empty set (0.0 sec)

ERROR:
No query specified

mysql>
mysql>
mysql> show databases;
+--------------------+
| Database           |
+--------------------+
| demo               |
| information_schema |
| mysql              |
| performance_schema |
| sys                |
+--------------------+
5 rows in set (0.00 sec)

mysql> use demo;
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A

Database changed
mysql> select * from user;
+------+-------+
| id   | name  |
+------+-------+
|  100 | user1 |
+------+-------+
1 row in set (0.00 sec)

mysql>

All data should now be synchronized.

5.3 Replication Controller Scaling

Now that we have one MySQL master pod and one MySQL slave pod, we can do some scaling. For example, set MySQL slave node to three.

kubectl get pods -o wide
NAME                 READY     STATUS              RESTARTS   AGE       IP          NODE
mysql-master-95j7d   1/1       Running             0          1h        10.2.64.5   172.17.4.201
mysql-slave-4rk62    0/1       ContainerCreating   0          2s        <none>      172.17.4.203
mysql-slave-9fjkl    0/1       ContainerCreating   0          2s        <none>      172.17.4.201
mysql-slave-gr41w    1/1       Running             0          50m       10.2.45.3   172.17.4.202

You can see it’s creating now, after few time, the nodes will be ready and we can enter one of them to check the MySQL data synchronization.

5.4 Making MySQL Data Persistent

In your production environment, configure the volume mount for MySQL data persistent, the yaml file for creating replication controller is as below:

apiVersion: v1
kind: ReplicationController
metadata:
  name: mysql-master
  labels:
    name: mysql-master
spec:
  replicas: 1
  selector:
    name: mysql-master
  template:
    metadata:
      labels:
        name: mysql-master
    spec:
      containers:
        - name: master
          image: paulliu/mysql-master:0.1
          ports:
            - containerPort: 3306
          volumeMounts:
            - name: mysql-data
              mountPath: /var/lib/mysql
          env:
            - name: MYSQL_ROOT_PASSWORD
              value: "test"
            - name: MYSQL_REPLICATION_USER
              value: 'demo'
            - name: MYSQL_REPLICATION_PASSWORD
              value: 'demo'
      volumes:
        - name: mysql-data
          hostPath:
            path: /var/lib/mysql

The Mount path /var/lib/mysql is just the same as defined in Dockerfile.

by Kublr Team  |  
        

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