A successful job submission is not an indication of a successfully-running job. This is the nature of a highly-optimistic scheduler. A successful job submission means the server was able to issue the proper scheduling commands. It does not indicate the job is actually running. To verify the job is running, we need to inspect its state.
This section will utilize the job named "docs" from the previous sections, but these operations and command largely apply to all jobs in Nomad.
After a job is submitted, you can query the status of that job using the job status command:
nomad job status ID Type Priority Status docs service 50 running
At a high level, we can see that our job is currently running, but what does "running" actually mean. By supplying the name of a job to the job status command, we can ask Nomad for more detailed job information:
nomad job status docs ID = docs Name = docs Type = service Priority = 50 Datacenters = dc1 Status = running Periodic = false Summary Task Group Queued Starting Running Failed Complete Lost example 0 0 3 0 0 0 Allocations ID Eval ID Node ID Task Group Desired Status Created At 04d9627d 42d788a3 a1f934c9 example run running <timestamp> e7b8d4f5 42d788a3 012ea79b example run running <timestamp> 5cbf23a1 42d788a3 1e1aa1e0 example run running <timestamp>
Here we can see that there are three instances of this task running, each with
its own allocation. For more information on the
status command, please see the
CLI documentation for status.
You can think of an evaluation as a submission to the scheduler. An example below shows status output for a job where some allocations were placed successfully, but did not have enough resources to place all of the desired allocations.
If we issue the status command with the
-evals flag, we could see there is an
outstanding evaluation for this hypothetical job:
nomad job status -evals docs ID = docs Name = docs Type = service Priority = 50 Datacenters = dc1 Status = running Periodic = false Evaluations ID Priority Triggered By Status Placement Failures 5744eb15 50 job-register blocked N/A - In Progress 8e38e6cf 50 job-register complete true Placement Failure Task Group "example": * Resources exhausted on 1 nodes * Dimension "cpu" exhausted on 1 nodes Allocations ID Eval ID Node ID Task Group Desired Status Created At 12681940 8e38e6cf 4beef22f example run running <timestamp> 395c5882 8e38e6cf 4beef22f example run running <timestamp> 4d7c6f84 8e38e6cf 4beef22f example run running <timestamp> 843b07b8 8e38e6cf 4beef22f example run running <timestamp> a8bc6d3e 8e38e6cf 4beef22f example run running <timestamp> b0beb907 8e38e6cf 4beef22f example run running <timestamp> da21c1fd 8e38e6cf 4beef22f example run running <timestamp>
In the above example we see that the job has a "blocked" evaluation that is in progress. When Nomad can not place all the desired allocations, it creates a blocked evaluation that waits for more resources to become available.
eval status command enables us to examine any evaluation in more detail.
For the most part this should never be necessary but can be useful to see why
all of a job's allocations were not placed. For example if we run it on the job
named docs, which had a placement failure according to the above output, we
nomad eval status 8e38e6cf ID = 8e38e6cf Status = complete Status Description = complete Type = service TriggeredBy = job-register Job ID = docs Priority = 50 Placement Failures = true Failed Placements Task Group "example" (failed to place 3 allocations): * Resources exhausted on 1 nodes * Dimension "cpu" exhausted on 1 nodes Evaluation "5744eb15" waiting for additional capacity to place remainder
For more information on the
eval status command, please see the CLI documentation for eval status.
You can think of an allocation as an instruction to schedule. Just like an
application or service, an allocation has logs and state. The
command gives us the most recent events that occurred for a task, its resource
usage, port allocations and more:
nomad alloc status 04d9627d ID = 04d9627d Eval ID = 42d788a3 Name = docs.example Node ID = a1f934c9 Job ID = docs Client Status = running Task "server" is "running" Task Resources CPU Memory Disk Addresses 0/100 MHz 728 KiB/10 MiB 300 MiB http: 10.1.1.196:5678 Recent Events: Time Type Description 10/09/16 00:36:06 UTC Started Task started by client 10/09/16 00:36:05 UTC Received Task received by client
alloc status command is a good starting to point for debugging an
application that did not start. Hypothetically assume a user meant to start a
Docker container named "redis:2.8", but accidentally put a comma instead of a
period, typing "redis:2,8".
When the job is executed, it produces a failed allocation. The
command will give us the reason why:
nomad alloc status 04d9627d ... Recent Events: Time Type Description 06/28/16 15:50:22 UTC Not Restarting Error was unrecoverable 06/28/16 15:50:22 UTC Driver Failure failed to create image: Failed to pull `redis:2,8`: API error (500): invalid tag format 06/28/16 15:50:22 UTC Received Task received by client
Unfortunately not all failures are as easily debuggable. If the
command shows many restarts, there is likely an application-level issue during
start up. For example:
nomad alloc status 04d9627d ... Recent Events: Time Type Description 06/28/16 15:56:16 UTC Restarting Task restarting in 5.178426031s 06/28/16 15:56:16 UTC Terminated Exit Code: 1, Exit Message: "Docker container exited with non-zero exit code: 1" 06/28/16 15:56:16 UTC Started Task started by client 06/28/16 15:56:00 UTC Restarting Task restarting in 5.00123931s 06/28/16 15:56:00 UTC Terminated Exit Code: 1, Exit Message: "Docker container exited with non-zero exit code: 1" 06/28/16 15:55:59 UTC Started Task started by client 06/28/16 15:55:48 UTC Received Task received by client
To debug these failures, we will need to utilize the "logs" command, which is discussed in the accessing logs section of this documentation.
For more information on the
alloc status command, please see the CLI
documentation for alloc status.