Use the puppet job run command to enforce change on your agent nodes with on-demand Puppet runs. For example, did you just add a new class parameter to a set of nodes? Use the puppet job tool to enforce that change across those nodes. Or did you just deploy code to a new Puppet environment? Use this command to run Puppet across all the nodes in that environment.
If you run a job on a node that has relationships outside of the target (for example, it participates in an application that includes nodes not in the job target) the job will still only run on the node in the target you specified. In such cases, the orchestrator notifies you that external relationships exist. It prints the node with relationships, and it prints the applications that may be affected. For example:
**WARNING** target does not contain all nodes in this application.You can run jobs on three types of targets, but these targets cannot be combined:
- An application or an application instance in an environment
- A list of nodes or a single node
- A PQL nodes query
When you execute a puppet job run command, the orchestrator creates a new Job ID, shows you all nodes included in the job, and proceeds to run Puppet on all nodes in the appropriate order. Puppet compiles a new catalog for all nodes included in the job.
The orchestrator command line tool includes the puppet job and puppet app commands.
-
puppet jobThe
puppet jobcommand is the main mechanism to control Puppet jobs. For a complete reference of thepuppet jobcommand, see:- Checking job plans on the CLI
- Running jobs on the CLI
- Reviewing jobs on the CLI
-
puppet appThe
puppet apptool lets you view the application models and application instances you’ve written and stored on your Puppet master. For a complete reference of thepuppet appcommand, see Reviewing applications on the CLI.
Run Puppet on on a PQL query
Use a PQL nodes query as a target when you want to target nodes that meet specific conditions. In this case, the orchestrator runs on a list of nodes returned from a PQL nodes query.
If you're running this command from a managed or non-managed Windows workstation, you must specify the full path to the command. For example, c:\Program Files\Puppet Labs\Client\bin\puppet-task run.
You must have permissions for running jobs and PQL queries.
- To specify the query on the command line:
puppet job run --query '<QUERY>' <OPTIONS> -
To pass the query in a text file:
puppet job run --query @/path/to/file.txt
The following table shows some example targets and the associated PQL queries you could run with the orchestrator.
Be sure to wrap the entire query in single quotes and use double quotes inside the query.
| Target | PQL query |
|---|---|
| Single node by certname |
--query 'nodes { certname = "mynode" }'
|
| All nodes with "web" in certname |
--query 'nodes { certname ~ "web" }'
|
| All CentOS nodes |
--query 'inventory { facts.os.name = "CentOS" }'
|
| All CentOS nodes with httpd managed |
--query 'inventory { facts.operatingsystem = "CentOS" and resources { type = "Service" and title = "httpd" } }'
|
| All nodes with failed reports |
--query 'reports { latest_report? = true and status = "failed" }'
|
| All nodes matching the environment for the last received catalog |
--query 'nodes { catalog_environment = "production" }'
|
Run Puppet on a list of nodes or a single node
Use a node list target for an orchestrator job when you need to run a job on a specific set of nodes that don't easily resolve to a PQL query. Use a single node or a comma-separated list of nodes.
If you're running this command from a managed or non-managed Windows workstation, you must specify the full path to the command. For example, c:\Program Files\Puppet Labs\Client\bin\puppet-task run.
You must have permissions for running jobs and PQL queries.
-
To run a job on a single node:
puppet job run --nodes <NODE NAME> <OPTIONS> -
To run a job on a list of nodes, use a comma-separated list of node names:
puppet job run --nodes <NODE NAME>,<NODE NAME>,<NODE NAME>,<NODE NAME> <OPTIONS>Note: Do not add spaces in the list of nodes. - To run a job on a node list from a text file:
puppet job run --nodes @/path/to/file.txtNote: If passing a list of nodes in the text file, put each node on a separate line.
Run Puppet on an application or an application instance in an environment
Use applications as a job target to enforce Puppet runs in order on all nodes found in a specific application instance, or to enforce Puppet runs in order on all nodes that are found in each instance of an application.
If you're running this command from a managed or non-managed Windows workstation, you must specify the full path to the command. For example, c:\Program Files\Puppet Labs\Client\bin\puppet-task run.
You must have permissions for running jobs and PQL queries.
- To run a job on all instances of an application:
puppet job run --application <APPLICATION> --environment <ENVIRONMENT> - To run a job on an instance of an application in an environment:
puppet job run --application <APPLICATION INSTANCE> --environment <ENVIRONMENT>
-a in place of --application.puppet job run command options
The following are common options you may use with the run action. For a complete list of global options run puppet job --help.
| Option | Value | Description |
|---|---|---|
--noop
| Flag, default false | Run a job on all nodes to simulate changes from a new catalog without actually enforcing a new catalog. Cannot be used in conjunction with --no-noop flag. |
--no-nopp
| Flag | All nodes run in enforcement mode, and a new catalog is enforced on all nodes. This flag overrides the agent noop = true in puppet.conf. Cannot be used in conjunction with --noop flag. |
--environment, -e | Environment name | Overrides the environment specified in the orchestrator configuration file. The orchestrator uses this option to:
|
--no-enforce-environment
| Flag, default false | Ignores the environment set by the --environment flag for agent runs. When you use this flag, agents run in the environment specified by the PE Node Manager or their puppet.conf files. |
--description
| Flag, defaults to empty | Provide a description for the job, which will be shown on the job list and job details pages, and returned with the puppet job show command. |
--concurrency | Integer | Limits how many nodes can run concurrently. Default is unlimited. You can tune concurrent compile requests in the console. |
Post-run node status
After Puppet runs, the orchestrator returns a list of nodes and their run statuses.
Node runs can be in progress, completed, skipped, or failed.
- For a completed node run, the orchestrator prints the configuration version, the transaction ID, a summary of resource events, and a link to the full node run report in the console.
For an in progress node run, the orchestrator prints how many seconds ago the run started.
For a failed node run, the orchestrator prints an error message indicating why the run failed. In this case, any additional runs will be skipped.
When a run fails, the orchestrator also prints any applications that were affected by the failure, as well as any applications that were affected by skipped node runs.
You can view the status of all running, completed, and failed jobs with the puppet job show command, or you can view them from the Job details page in the console.
Additionally, you can use the console to review a list of jobs or to view the details of jobs that have previously run or are in progress. Refer to Reviewing jobs in the PE console for more information.
Stop a job
You can stop a job if, for example, you realize you need to reconfigure a class or push a configuration change that the job needs.
When you stop an on-demand Puppet run, runs that are underway will finish, and runs that have not started will not start.
Stopping tasks depends on how many nodes are targeted in the job versus the concurrency limit you've set. If the concurrency limit is higher than the number of nodes targeted, all nodes will complete the task, as those nodes will have already started the task.
- In the console, navigate to the Job details page for the job you want to stop, and click Stop. Or,
- On the command line, press CTRL + C.