Once you have written an .aurora configuration file that describes
your Job and its parameters and functionality, you interact with Aurora
using Aurora Client commands. This document describes all of these commands
and how and when to use them. All Aurora Client commands start with
aurora, followed by the name of the specific command and its
arguments.
Job keys are a very common argument to Aurora commands, as well as the gateway to useful information about a Job. Before using Aurora, you should read the next section which describes them in detail. The section after that briefly describes how you can modify the behavior of certain Aurora Client commands, linking to a detailed document about how to do that.
This is followed by the Regular Jobs section, which describes the basic Client commands for creating, running, and manipulating Aurora Jobs. After that are sections on Comparing Jobs and Viewing/Examining Jobs. In other words, various commands for getting information and metadata about Aurora Jobs.
The client must be able to find a configuration file that specifies available clusters. This file declares shorthand names for clusters, which are in turn referenced by job configuration files and client commands.
The client will load at most two configuration files, making both of their defined clusters
available. The first is intended to be a system-installed cluster, using the path specified in
the environment variable AURORA_CONFIG_ROOT, defaulting to /etc/aurora/clusters.json if the
environment variable is not set. The second is a user-installed file, located at
~/.aurora/clusters.json.
For more details on cluster configuration see the Client Cluster Configuration documentation.
A job key is a unique system-wide identifier for an Aurora-managed
Job, for example cluster1/web-team/test/experiment204. It is a 4-tuple
consisting of, in order, cluster, role, environment, and
jobname, separated by /s. Cluster is the name of an Aurora
cluster. Role is the Unix service account under which the Job
runs. Environment is a namespace component like devel, test,
prod, or stagingN. Jobname is the Job’s name.
The combination of all four values uniquely specifies the Job. If any
one value is different from that of another job key, the two job keys
refer to different Jobs. For example, job key
cluster1/tyg/prod/workhorse is different from
cluster1/tyg/prod/workcamel is different from
cluster2/tyg/prod/workhorse is different from
cluster2/foo/prod/workhorse is different from
cluster1/tyg/test/workhorse.
Role names are user accounts existing on the agent machines. If you don’t know what accounts are available, contact your sysadmin.
Environment names are namespaces; you can count on prod, devel and test existing.
For certain Aurora Client commands, you can define hook methods that run either before or after an action that takes place during the command’s execution, as well as based on whether the action finished successfully or failed during execution. Basically, a hook is code that lets you extend the command’s actions. The hook executes on the client side, specifically on the machine executing Aurora commands.
Hooks can be associated with these Aurora Client commands.
job createjob killjob restartThe process for writing and activating them is complex enough that we explain it in a devoted document, Hooks for Aurora Client API.
This section covers Aurora commands related to running, killing, renaming, updating, and restarting a basic Aurora Job.
aurora job create <job key> <configuration file>
Creates and then runs a Job with the specified job key based on a .aurora configuration file.
The configuration file may also contain and activate hook definitions.
aurora task run CLUSTER/ROLE/ENV/NAME[/INSTANCES] <cmd>
Runs a shell command on all machines currently hosting shards of a single Job.
run supports the same command line wildcards used to populate a Job’s
commands; i.e. anything in the {{mesos.*}} and {{thermos.*}}
namespaces.
aurora job killall CLUSTER/ROLE/ENV/NAME
Kills all Tasks associated with the specified Job, blocking until all are terminated. Defaults to killing all instances in the Job.
The <configuration file> argument for kill is optional. Use it only
if it contains hook definitions and activations that affect the
kill command.
aurora job add CLUSTER/ROLE/ENV/NAME/INSTANCE <count>
Adds <count> instances to the existing job. The configuration of the new instances is derived from
an active job instance pointed by the /INSTANCE part of the job specification. This command is
a simpler way to scale out an existing job when an instance with desired task configuration
already exists. Use aurora update start to add instances with a new (updated) configuration.
You can manage job updates using the aurora update command. Please see
the Job Update documentation for more details.
Renaming is a tricky operation as downstream clients must be informed of the new name. A conservative approach to renaming suitable for production services is:
Check that only these naming components have changed
with aurora diff.
aurora job diff CLUSTER/ROLE/ENV/NAME <job_configuration>
Create the (identical) job at the new key. You may need to request a temporary quota increase.
aurora job create CLUSTER/ROLE/ENV/NEW_NAME <job_configuration>
Migrate all clients over to the new job key. Update all links and dashboards. Ensure that both job keys run identical versions of the code while in this state.
After verifying that all clients have successfully moved over, kill the old job.
aurora job killall CLUSTER/ROLE/ENV/NAME
If you received a temporary quota increase, be sure to let the powers that be know you no longer need the additional capacity.
restart restarts all of a job key identified Job’s shards:
aurora job restart CLUSTER/ROLE/ENV/NAME[/INSTANCES]
Restarts are controlled on the client side, so aborting
the job restart command halts the restart operation.
Note: job restart only applies its command line arguments and does not
use or is affected by update.config. Restarting
does not involve a configuration change. To update the
configuration, use update.config.
The --config argument for restart is optional. Use it only
if it contains hook definitions and activations that affect the
job restart command.
You can manage cron jobs using the aurora cron command. Please see
the Cron Jobs Feature for more details.
aurora job diff CLUSTER/ROLE/ENV/NAME <job configuration>
Compares a job configuration against a running job. By default the diff
is determined using diff, though you may choose an alternate
diff program by specifying the DIFF_VIEWER environment variable.
Above we discussed creating, killing, and updating Jobs. Here we discuss how to view and examine Jobs.
aurora config list <job configuration>
Lists all Jobs registered with the Aurora scheduler in the named cluster for the named role.
aurora job inspect CLUSTER/ROLE/ENV/NAME <job configuration>
inspect verifies that its specified job can be parsed from a
configuration file, and displays the parsed configuration.
aurora quota get CLUSTER/ROLE
Prints the production quota allocated to the role’s value at the given cluster. Only non-dedicated production jobs consume quota.
When you create a job, part of the output response contains a URL that goes to the job’s scheduler UI page. For example:
vagrant@precise64:~$ aurora job create devcluster/www-data/prod/hello /vagrant/examples/jobs/hello_world.aurora
INFO] Creating job hello
INFO] Response from scheduler: OK (message: 1 new tasks pending for job www-data/prod/hello)
INFO] Job url: http://precise64:8081/scheduler/www-data/prod/hello
You can go to the scheduler UI page for this job via http://precise64:8081/scheduler/www-data/prod/hello
You can go to the overall scheduler UI page by going to the part of that URL that ends at scheduler; http://precise64:8081/scheduler
Once you click through to a role page, you see Jobs arranged separately by pending jobs, active jobs and finished jobs. Jobs are arranged by role, typically a service account for production jobs and user accounts for test or development jobs.
aurora job status <job_key>
Returns the status of recent tasks associated with the
job_key specified Job in its supplied cluster. Typically this includes
a mix of active tasks (running or assigned) and inactive tasks
(successful, failed, and lost.)
Use the Job’s web UI scheduler URL or the aurora status command to find out on which
machines individual tasks are scheduled. You can open the web UI via the
open command line command if invoked from your machine:
aurora job open [<cluster>[/<role>[/<env>/<job_name>]]]
If only the cluster is specified, it goes directly to that cluster’s scheduler main page. If the role is specified, it goes to the top-level role page. If the full job key is specified, it goes directly to the job page where you can inspect individual tasks.
aurora task ssh <job_key> <shard number>
You can have the Aurora client ssh directly to the machine that has been assigned a particular Job/shard number. This may be useful for quickly diagnosing issues such as performance issues or abnormal behavior on a particular machine.
aurora task scp [<cluster>/<role>/<env>/<job_name>/<instance_id>]:source [<cluster>/<role>/<env>/<job_name>/<instance_id>]:dest
You can have the Aurora client copy file(s)/folder(s) to, from, and between
individual tasks. The sandbox folder serves as the relative root and is the
same folder you see when you browse chroot from the Scheduler task UI. You
can also use absolute paths (like for /tmp), but tilde expansion is not
supported. Currently, this command is only fully supported for Mesos
containers. Users may use this to copy files from Docker containers but they
cannot copy files to them.
aurora task run [-e] [-t THREADS] <job_key> -- <<command-line>>
Given a job specification, run the supplied command on all hosts and return the output. You may use the standard Mustache templating rules:
{{thermos.ports[name]}} substitutes the specific named port of the
task assigned to this machine{{mesos.instance}} substitutes the shard id of the job’s task
assigned to this machine{{thermos.task_id}} substitutes the task id of the job’s task
assigned to this machineFor example, the following type of pattern can be a powerful diagnostic tool:
aurora task run -t5 cluster1/tyg/devel/seizure -- \
'curl -s -m1 localhost:{{thermos.ports[http]}}/vars | grep uptime'
By default, the command runs in the Task’s sandbox. The -e option can
run the command in the executor’s sandbox. This is mostly useful for
Aurora administrators.
You can parallelize the runs by using the -t option.