I want to know how to kill an Azure Pipeline task (or any level of execution - run, stage, job, etc.), so that I am not blocked waiting for an errant pipeline to finish executing or timeout.
For example, canceling the pipeline does not stop it immediately if a condition is configured incorrectly. If the condition resolves to true the task will execute even if the pipeline is cancelled.
This is really painful if your org/project only has 1 agent. :(
How can I kill (not cancel) an errant Azure Pipeline run, stage, job, or task?
For the hosted agent, we could not kill that azure pipeline directly, since we cannot directly access the running machine.
As workaround, we could reduce the time that the task continues to run after the job is cancelled by setting a shorter Build job cancel timeout in minutes:
For example, I create a pipeline with task, which will still run for 60 minutes after the job is cancelled. But if I set the value of Build job cancel timeout in minutes to 2 mins, the azure pipeline will be cancelled completely.
For the private agent, we could run services.msc, and look for "VSTS Agent (name of your agent)". Right-click the entry and then choose restart.
Related
We're using SonarQube for tests, and there's one token it uses, as long as one pipeline is running, it goes fine, but if I run different pipelines (all of them have E2E tests as final jobs), they all fail, because they keep calling a token that expires as soon as its used by one pipeline (job). Would it be possible to have -all- pipelines pause at job "x" if they detect some pipeline running job "x" already? The jobs have same names across all pipelines. Yes, I know this is solved by just running one pipeline at a time, but that's not what my devs wanna do.
The best way to make jobs run one by one is set demands for your agent job to run on a specific self-hosted agent. Just as below, set a user-defined capabilities for the self-hosted agent and then require run on the agent by setting demands in agent job.
In this way, agent jobs will only run on this agent. Build will run one by one until the previous one complete.
Besides, you could control if a job should run by defining approvals and checks. By using Invoke REST API check to make a call to a REST API such as Gets a list of builds, and define the success criteria as build count is zero, then, next build starts.
My requirement is, i have to run azure pipeline after 15days of the trigger. I have 2 pipelines where first pipeline will execute and after that pipeline is started, the second pipeline should trigger after 15days only. How can i do that? Can we tweak cron to do this?
I tried using cron but there is no way to set this up.
There is no out-of-the-box type of trigger to achieve it according to Microsoft document at present.
But you can make the job depends on an agentless job that includes delay task to pause execution of the pipeline for a fixed delay time. Please refer to doc:Delay task
for example:
1 add a delay task in an agentless job and configure delay time 21600 minutes(15 days)
2 make the job depend on agentless job
3 set build trigger
Note :set build job timeout to 0
My pipeline triggers on resources, schedule and merges. Sometimes these can happen almost at the same time and many pipeline runs can be created. I've noticed that the jobs that run don't always belong to the same run.
Example
one pipeline A includes 2 jobs j.1 and j.2
a resource triggers A.1 and starts j.1
another resource triggers A.2 also and queues j.1.
A.1 finishes a job and instead of starting j.2 it is A.2 j.1 that starts.
How do I lock the run so that A.1 j.1 and j.2 runs to completion before A.2 starts?
On the agent, the queue is for the job-level not pipeline-level. So, normally the agent will be allocate to the higher priority jobs in the pipelines regardless of whether the jobs are in the same pipeline run.
Currently, we have not method or settings to manager the sort of the queued jobs.
Currently I have a OneBranch DevOps pipeline that fails every now and then while restoring packages. Usually it fails because of some transient error like a socket exception or timeout. Re-trying the job usually fixes the issue.
Is there a way to configure a job or task to retry?
Azure Devops now supports the retryCountOnTaskFailure setting on a task to do just this.
See this page for further information:
https://learn.microsoft.com/en-us/azure/devops/release-notes/2021/pipelines/sprint-195-update
Update:
Automatic retries for a task was added and when you read this it should be available for usage.
It can be used as follow:
- task: <name of task>
retryCountOnTaskFailure: <max number of retries>
...
Here are a few things to note when using retries:
The failing task is retried immediately.
There is no assumption about the idempotency of the task. If the task has side-effects (for instance, if it created an external resource partially), then it may fail the second time it is run.
There is no information about the retry count made available to the task.
A warning is added to the task logs indicating that it has failed before it is retried.
All of the attempts to retry a task are shown in the UI as part of the same task node.
Original answer:
There is no way of doing that with native tasks. However, if you can script then you can put such logic inside.
You could do this for instance in this way:
n=0
until [ "$n" -ge 5 ]
do
command && break # substitute your command here
n=$((n+1))
sleep 15
done
However there is no native way of doing this for regular tasks.
Automatically retry a task in on roadmap so it could change in near future.
Lets say that after every deployment I want to execute some system tests (putting a message and check if it reaches its destination).
What are my options?
I looked at post-deployment gates and the idea would be to invoke an azure function that would trigger the success, wait some time and then "assert". Is this the right way? What about timeouts since I'm going to wait (possibly for a minute or two).
In your release pipeline, you can create a first stage for deployment, and a second one for system tests.
In the system tests stage, you can choose the pre-deployment conditions to suit your requirements: e.g. after stage (and select the first deployment stage)
Optionally you can add pre-deployment approvals so somebody needs to manually approve this.