github.com/jrxfive/nomad@v0.6.1-0.20170802162750-1fef470e89bf/website/source/intro/getting-started/jobs.html.md

---
layout: "intro"
page_title: "Jobs"
sidebar_current: "getting-started-jobs"
description: |-
  Learn how to submit, modify and stop jobs in Nomad.
---

# Jobs

Jobs are the primary configuration that users interact with when using
Nomad. A job is a declarative specification of tasks that Nomad should run.
Jobs have a globally unique name, one or many task groups, which are themselves
collections of one or many tasks.

The format of the jobs is documented in the [job specification][jobspec]. They
can either be specified in [HashiCorp Configuration Language][hcl] or JSON,
however we recommend only using JSON when the configuration is generated by a machine.

## Running a Job

To get started, we will use the [`init` command](/docs/commands/init.html) which
generates a skeleton job file:

```
$ nomad init
Example job file written to example.nomad
```

You can view the contents of this file by running `cat example.nomad`. In this
example job file, we have declared a single task 'redis' which is using
the Docker driver to run the task. The primary way you interact with Nomad
is with the [`run` command](/docs/commands/run.html). The `run` command takes
a job file and registers it with Nomad. This is used both to register new
jobs and to update existing jobs.

We can register our example job now:

```
$ nomad run example.nomad
==> Monitoring evaluation "26cfc69e"
    Evaluation triggered by job "example"
    Allocation "8ba85cef" created: node "171a583b", group "cache"
    Evaluation status changed: "pending" -> "complete"
==> Evaluation "26cfc69e" finished with status "complete"
```

Anytime a job is updated, Nomad creates an evaluation to determine what
actions need to take place. In this case, because this is a new job, Nomad has
determined that an allocation should be created and has scheduled it on our
local agent.

To inspect the status of our job we use the [`status` command](/docs/commands/status.html):

```
$ nomad status example
ID            = example
Name          = example
Submit Date   = 07/25/17 23:14:43 UTC
Type          = service
Priority      = 50
Datacenters   = dc1
Status        = running
Periodic      = false
Parameterized = false

Summary
Task Group  Queued  Starting  Running  Failed  Complete  Lost
cache       0       0         1        0       0         0

Latest Deployment
ID          = 11c5cdc8
Status      = successful
Description = Deployment completed successfully

Deployed
Task Group  Desired  Placed  Healthy  Unhealthy
cache       1        1       1        0

Allocations
ID        Node ID   Task Group  Version  Desired  Status   Created At
8ba85cef  171a583b  cache       0        run      running  07/25/17 23:14:43 UTC
```

Here we can see that the result of our evaluation was the creation of an
allocation that is now running on the local node.

An allocation represents an instance of Task Group placed on a node. To inspect
an allocation we use the [`alloc-status` command](/docs/commands/alloc-status.html):

```
$ nomad alloc-status 8ba85cef
ID                  = 8ba85cef
Eval ID             = 61b0b423
Name                = example.cache[0]
Node ID             = 171a583b
Job ID              = example
Job Version         = 0
Client Status       = running
Client Description  = <none>
Desired Status      = run
Desired Description = <none>
Created At          = 07/25/17 23:14:43 UTC
Deployment ID       = fa882a5b
Deployment Health   = healthy

Task "redis" is "running"
Task Resources
CPU    Memory           Disk     IOPS  Addresses
2/500  6.3 MiB/256 MiB  300 MiB  0     db: 127.0.0.1:30329

Recent Events:
Time                   Type      Description
07/25/17 23:14:53 UTC  Started     Task started by client
07/25/17 23:14:43 UTC  Driver      Downloading image redis:3.2
07/25/17 23:14:43 UTC  Task Setup  Building Task Directory
07/25/17 23:14:43 UTC  Received    Task received by client
```

We can see that Nomad reports the state of the allocation as well as its
current resource usage. By supplying the `-stats` flag, more detailed resource
usage statistics will be reported.

To see the logs of a task, we can use the [logs command](/docs/commands/logs.html):

```
$ nomad logs 8ba85cef redis
                 _._
            _.-``__ ''-._
       _.-``    `.  `_.  ''-._           Redis 3.2.1 (00000000/0) 64 bit
   .-`` .-```.  ```\/    _.,_ ''-._
  (    '      ,       .-`  | `,    )     Running in standalone mode
  |`-._`-...-` __...-.``-._|'` _.-'|     Port: 6379
  |    `-._   `._    /     _.-'    |     PID: 1
   `-._    `-._  `-./  _.-'    _.-'
  |`-._`-._    `-.__.-'    _.-'_.-'|
  |    `-._`-._        _.-'_.-'    |           http://redis.io
   `-._    `-._`-.__.-'_.-'    _.-'
  |`-._`-._    `-.__.-'    _.-'_.-'|
  |    `-._`-._        _.-'_.-'    |
   `-._    `-._`-.__.-'_.-'    _.-'
       `-._    `-.__.-'    _.-'
           `-._        _.-'
               `-.__.-'
...
```

## Modifying a Job

The definition of a job is not static, and is meant to be updated over time.
You may update a job to change the docker container, to update the application version,
or to change the count of a task group to scale with load.

For now, edit the `example.nomad` file to update the count and set it to 3:

```
# The "count" parameter specifies the number of the task groups that should
# be running under this group. This value must be non-negative and defaults
# to 1.
count = 3
```

Once you have finished modifying the job specification, use the [`plan`
command](/docs/commands/plan.html) to invoke a dry-run of the scheduler to see
what would happen if you ran the updated job:

```
$ nomad plan example.nomad
+/- Job: "example"
+/- Task Group: "cache" (2 create, 1 in-place update)
  +/- Count: "1" => "3" (forces create)
      Task: "redis"

Scheduler dry-run:
- All tasks successfully allocated.

Job Modify Index: 6
To submit the job with version verification run:

nomad run -check-index 6 example.nomad

When running the job with the check-index flag, the job will only be run if the
server side version matches the job modify index returned. If the index has
changed, another user has modified the job and the plan's results are
potentially invalid.
```

We can see that the scheduler detected the change in count and informs us that
it will cause 2 new instances to be created. The in-place update that will
occur is to push the update job specification to the existing allocation and
will not cause any service interruption. We can then run the job with the
run command the `plan` emitted.

By running with the `-check-index` flag, Nomad checks that the job has not
been modified since the plan was run. This is useful if multiple people are
interacting with the job at the same time to ensure the job hasn't changed
before you apply your modifications.

```
$ nomad run -check-index 6 example.nomad
==> Monitoring evaluation "127a49d0"
    Evaluation triggered by job "example"
    Evaluation within deployment: "2e2c818f"
    Allocation "8ab24eef" created: node "171a583b", group "cache"
    Allocation "f6c29874" created: node "171a583b", group "cache"
    Allocation "8ba85cef" modified: node "171a583b", group "cache"
    Evaluation status changed: "pending" -> "complete"
==> Evaluation "127a49d0" finished with status "complete"
```

Because we set the count of the task group to three, Nomad created two
additional allocations to get to the desired state. It is idempotent to
run the same job specification again and no new allocations will be created.

Now, let's try to do an application update. In this case, we will simply change
the version of redis we want to run. Edit the `example.nomad` file and change
the Docker image from "redis:3.2" to "redis:4.0":

```
# Configure Docker driver with the image
config {
    image = "redis:4.0"
}
```

We can run `plan` again to see what will happen if we submit this change:

```
$ nomad plan example.nomad
+/- Job: "example"
+/- Task Group: "cache" (1 create/destroy update, 2 ignore)
  +/- Task: "redis" (forces create/destroy update)
    +/- Config {
      +/- image:           "redis:3.2" => "redis:4.0"
          port_map[0][db]: "6379"
        }

Scheduler dry-run:
- All tasks successfully allocated.
- Rolling update, next evaluation will be in 10s.

Job Modify Index: 42
To submit the job with version verification run:

nomad run -check-index 42 example.nomad

When running the job with the check-index flag, the job will only be run if the
server side version matches the job modify index returned. If the index has
changed, another user has modified the job and the plan's results are
potentially invalid.
```

Here we can see the `plan` reports it will ignore two allocations and do one
create/destroy update which stops the old allocation and starts the new
allocation because we have changed the version of redis to run.

The reason the plan only reports a single change to occur is because the job
file has an `update` stanza that tells Nomad to perform rolling updates when the
job changes at a rate of `max_parallel`, which is set to 1 in the example file.

Once ready, use `run` to push the updated specification:

```
$ nomad run example.nomad
==> Monitoring evaluation "02161762"
    Evaluation triggered by job "example"
    Evaluation within deployment: "429f8160"
    Allocation "de4e3f7a" created: node "6c027e58", group "cache"
    Evaluation status changed: "pending" -> "complete"
==> Evaluation "02161762" finished with status "complete"
```

After running, the rolling upgrade can be followed by running `nomad status` and
watching the deployed count.

We can see that Nomad handled the update in three phases, only updating a single
allocation in each phase and waiting for it to be healthy for `min_healthy_time`
of 10 seconds before moving on to the next. The update strategy can be
configured, but rolling updates makes it easy to upgrade an application at large
scale.

## Stopping a Job

So far we've created, run and modified a job. The final step in a job lifecycle
is stopping the job. This is done with the [`stop` command](/docs/commands/stop.html):

```
$ nomad stop example
==> Monitoring evaluation "ddc4eb7d"
    Evaluation triggered by job "example"
    Evaluation within deployment: "ec46fb3b"
    Evaluation status changed: "pending" -> "complete"
==> Evaluation "ddc4eb7d" finished with status "complete"
```

When we stop a job, it creates an evaluation which is used to stop all
the existing allocations. If we now query the job status, we can see it is
now marked as `dead (stopped)`, indicating that the job has been stopped and
Nomad is no longer running it:

```
$ nomad status example
ID            = example
Name          = example
Submit Date   = 07/26/17 17:51:01 UTC
Type          = service
Priority      = 50
Datacenters   = dc1
Status        = dead (stopped)
Periodic      = false
Parameterized = false

Summary
Task Group  Queued  Starting  Running  Failed  Complete  Lost
cache       0       0         0        0       3         0

Latest Deployment
ID          = ec46fb3b
Status      = successful
Description = Deployment completed successfully

Deployed
Task Group  Desired  Placed  Healthy  Unhealthy
cache       3        3       3        0

Allocations
ID        Node ID   Task Group  Version  Desired  Status    Created At
8ace140d  2cfe061e  cache       2        stop     complete  07/26/17 17:51:01 UTC
8af5330a  2cfe061e  cache       2        stop     complete  07/26/17 17:51:01 UTC
df50c3ae  2cfe061e  cache       2        stop     complete  07/26/17 17:51:01 UTC
```

If we wanted to start the job again, we could simply `run` it again.

## Next Steps

Users of Nomad primarily interact with jobs, and we've now seen
how to create and scale our job, perform an application update,
and do a job tear down. Next we will add another Nomad
client to [create our first cluster](cluster.html)

[jobspec]: /docs/job-specification/index.html "Nomad Job Specification"
[hcl]: https://github.com/hashicorp/hcl "HashiCorp Configuration Language"