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| layout | page_title | sidebar_current | description |
|---|---|---|---|
| guides | Stateful Workloads with Nomad Host Volumes | guides-stateful-workloads-host-volumes | There are multiple approaches to deploying stateful applications in Nomad. This guide uses Nomad Host to Volumes deploy a MySQL database. |
Stateful Workloads with Nomad Host Volumes
Nomad Host Volumes can manage storage for stateful workloads running inside your Nomad cluster. This guide walks you through deploying a MySQL workload to a node containing supporting storage.
Nomad host volumes provide a more workload-agnostic way to specify resources,
available for Nomad drivers like exec, java, and docker. See the
host_volume specification for more information about
supported drivers.
Nomad is also aware of host volumes during the scheduling process, enabling it to make scheduling decisions based on the availability of host volumes on a specific client.
This can be contrasted with Nomad support for Docker volumes. Because Docker volumes are managed outside of Nomad and the Nomad scheduled is not aware of them, Docker volumes have to either be deployed to all clients or operators have to use an additional, manually-maintained constraint to inform the scheduler where they are present.
Reference Material
Estimated Time to Complete
20 minutes
Challenge
Deploy a MySQL database that needs to be able to persist data without using operator-configured Docker volumes.
Solution
Configure Nomad Host Volumes on a Nomad client node in order to persist data in the event that the container is restarted.
Prerequisites
To perform the tasks described in this guide, you need to have a Nomad environment with Consul installed. You can use this project to easily provision a sandbox environment. This guide will assume a cluster with one server node and three client nodes.
~> Please Note: This guide is for demo purposes and is only using a single server node. In a production cluster, 3 or 5 server nodes are recommended.
Prerequisite 1: Install the MySQL client
We will use the MySQL client to connect to our MySQL database and verify our data. Ensure it is installed on a node with access to port 3306 on your Nomad clients:
Ubuntu:
$ sudo apt install mysql-client
CentOS:
$ sudo yum install mysql
macOS via Homebrew:
$ brew install mysql-client
Step 1: Create a Directory to Use as a Mount Target
On a Nomad client node in your cluster, create a directory that will be used for
persisting the MySQL data. For this example, let's create the directory
/opt/mysql/data.
sudo mkdir -p /opt/mysql/data
You might need to change the owner on this folder if the Nomad client does not
run as the root user.
sudo chown «Nomad user» /opt/mysql/data
Step 2: Configure the mysql Host Volume on the Client
Edit the Nomad configuration on this Nomad client to create the Host Volume.
Add the following to the client stanza of your Nomad configuration:
host_volume "mysql" {
path = "/opt/mysql/data"
read_only = false
}
Save this change, and then restart the Nomad service on this client to make the
Host Volume active. While still on the client, you can easily verify that the
host volume is configured by using the nomad node status command as shown
below:
$ nomad node status -short -self
ID = 12937fa7
Name = ip-172-31-15-65
Class = <none>
DC = dc1
Drain = false
Eligibility = eligible
Status = ready
Host Volumes = mysql
Drivers = docker,exec,java,mock_driver,raw_exec,rkt
...
Step 3: Create the mysql.nomad Job File
We are now ready to deploy a MySQL database that can use Nomad Host Volumes for
storage. Create a file called mysql.nomad and provide it the following
contents:
job "mysql-server" {
datacenters = ["dc1"]
type = "service"
group "mysql-server" {
count = 1
volume "mysql" {
type = "host"
config {
source = "mysql"
}
}
restart {
attempts = 10
interval = "5m"
delay = "25s"
mode = "delay"
}
task "mysql-server" {
driver = "docker"
volume_mount {
volume = "mysql"
destination = "/var/lib/mysql"
}
env = {
"MYSQL_ROOT_PASSWORD" = "password"
}
config {
image = "hashicorp/mysql-portworx-demo:latest"
port_map {
db = 3306
}
}
resources {
cpu = 500
memory = 1024
network {
port "db" {
static = 3306
}
}
}
service {
name = "mysql-server"
port = "db"
check {
type = "tcp"
interval = "10s"
timeout = "2s"
}
}
}
}
}
- The service name is
mysql-serverwhich we will use later to connect to the database.
Step 4: Deploy the MySQL Database
Register the job file you created in the previous step with the following command:
$ nomad run mysql.nomad
==> Monitoring evaluation "aa478d82"
Evaluation triggered by job "mysql-server"
Allocation "6c3b3703" created: node "be8aad4e", group "mysql-server"
Evaluation status changed: "pending" -> "complete"
==> Evaluation "aa478d82" finished with status "complete"
Check the status of the allocation and ensure the task is running:
$ nomad status mysql-server
ID = mysql-server
...
Summary
Task Group Queued Starting Running Failed Complete Lost
mysql-server 0 0 1 0 0 0
Step 5: Connect to MySQL
Using the mysql client (installed in Prerequisite 1), connect to the database and access the information:
mysql -h mysql-server.service.consul -u web -p -D itemcollection
The password for this demo database is password.
~> Please Note: This guide is for demo purposes and does not follow best practices for securing database passwords. See Keeping Passwords Secure for more information.
Consul is installed alongside Nomad in this cluster so we were able to
connect using the mysql-server service name we registered with our task in
our job file.
Step 6: Add Data to MySQL
Once you are connected to the database, verify the table items exists:
mysql> show tables;
+--------------------------+
| Tables_in_itemcollection |
+--------------------------+
| items |
+--------------------------+
1 row in set (0.00 sec)
Display the contents of this table with the following command:
mysql> select * from items;
+----+----------+
| id | name |
+----+----------+
| 1 | bike |
| 2 | baseball |
| 3 | chair |
+----+----------+
3 rows in set (0.00 sec)
Now add some data to this table (after we terminate our database in Nomad and bring it back up, this data should still be intact):
mysql> INSERT INTO items (name) VALUES ('glove');
Run the INSERT INTO command as many times as you like with different values.
mysql> INSERT INTO items (name) VALUES ('hat');
mysql> INSERT INTO items (name) VALUES ('keyboard');
Once you you are done, type exit and return back to the Nomad client command
line:
mysql> exit
Bye
Step 7: Stop and Purge the Database Job
Run the following command to stop and purge the MySQL job from the cluster:
$ nomad stop -purge mysql-server
==> Monitoring evaluation "6b784149"
Evaluation triggered by job "mysql-server"
Evaluation status changed: "pending" -> "complete"
==> Evaluation "6b784149" finished with status "complete"
Verify no jobs are running in the cluster:
$ nomad status
No running jobs
In more advanced cases, the directory backing the host volume could be a mounted network filesystem, like NFS, or cluster-aware filesystem, like glusterFS. This can enable more complex, automatic failure-recovery scenarios in the event of a node failure.
Step 8: Re-deploy the Database
Using the mysql.nomad job file from Step
3, re-deploy the database to the Nomad
cluster.
==> Monitoring evaluation "61b4f648"
Evaluation triggered by job "mysql-server"
Allocation "8e1324d2" created: node "be8aad4e", group "mysql-server"
Evaluation status changed: "pending" -> "complete"
==> Evaluation "61b4f648" finished with status "complete"
Step 9: Verify Data
Once you re-connect to MySQL, you should be able to see that the information you added prior to destroying the database is still present:
mysql> select * from items;
+----+----------+
| id | name |
+----+----------+
| 1 | bike |
| 2 | baseball |
| 3 | chair |
| 4 | glove |
| 5 | hat |
| 6 | keyboard |
+----+----------+
6 rows in set (0.00 sec)
Step 10: Tidying Up
Once you have completed this guide, you should perform the following cleanup steps:
- Stop and purge the
mysql-serverjob. - Remove the
host_volume "mysql"stanza from your Nomad client configuration and restart the Nomad service on that client - Remove the /opt/mysql/data folder and as much of the directory tree that you no longer require.