257 lines
9.6 KiB
Markdown
257 lines
9.6 KiB
Markdown
---
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stage: Release
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group: Release
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info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/product/ux/technical-writing/#assignments
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description: Control the job concurrency in GitLab CI/CD
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---
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# Resource group **(FREE)**
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> [Introduced](https://gitlab.com/gitlab-org/gitlab/-/issues/15536) in GitLab 12.7.
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By default, pipelines in GitLab CI/CD run in parallel. The parallelization is an important factor to improve
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the feedback loop in merge requests, however, there are some situations that
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you may want to limit the concurrency on deployment
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jobs to run them one by one.
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Use resource groups to strategically control
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the concurrency of the jobs for optimizing your continuous deployments workflow with safety.
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## Add a resource group
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Provided that you have the following pipeline configuration (`.gitlab-ci.yml` file in your repository):
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```yaml
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build:
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stage: build
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script: echo "Your build script"
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deploy:
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stage: deploy
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script: echo "Your deployment script"
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environment: production
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```
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Every time you push a new commit to a branch, it runs a new pipeline that has
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two jobs `build` and `deploy`. But if you push multiple commits in a short interval, multiple
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pipelines start running simultaneously, for example:
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- The first pipeline runs the jobs `build` -> `deploy`
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- The second pipeline runs the jobs `build` -> `deploy`
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In this case, the `deploy` jobs across different pipelines could run concurrently
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to the `production` environment. Running multiple deployment scripts to the same
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infrastructure could harm/confuse the instance and leave it in a corrupted state in the worst case.
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To ensure that a `deploy` job runs once at a time, you can specify
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[`resource_group` keyword](../yaml/index.md#resource_group) to the concurrency sensitive job:
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```yaml
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deploy:
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...
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resource_group: production
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```
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With this configuration, the safety on the deployments is assured while you
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can still run `build` jobs concurrently for maximizing the pipeline efficiency.
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## Requirements
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- The basic knowledge of the [GitLab CI/CD pipelines](../pipelines/index.md)
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- The basic knowledge of the [GitLab Environments and Deployments](../environments/index.md)
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- At least the Developer role for the project to configure CI/CD pipelines.
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### Limitations
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Only one resource can be attached to a resource group.
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## Process modes
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> - [Introduced](https://gitlab.com/gitlab-org/gitlab/-/issues/202186) in GitLab 14.3.
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> - [Feature flag `ci_resource_group_process_modes`](https://gitlab.com/gitlab-org/gitlab/-/issues/340380) removed in GitLab 14.4.
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> - [Generally available](https://gitlab.com/gitlab-org/gitlab/-/issues/202186) in GitLab 14.4.
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You can choose a process mode to strategically control the job concurrency for your deployment preferences.
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The following modes are supported:
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- **Unordered:** This is the default process mode that limits the concurrency on running jobs.
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It's the easiest option to use when you don't care about the execution order
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of the jobs. It starts processing the jobs whenever a job ready to run.
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- **Oldest first:** This process mode limits the concurrency of the jobs. When a resource is free,
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it picks the first job from the list of upcoming jobs (`created`, `scheduled`, or `waiting_for_resource` state)
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that are sorted by pipeline ID in ascending order.
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This mode is efficient when you want to ensure that the jobs are executed from the oldest pipeline.
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It is less efficient compared to the `unordered` mode in terms of the pipeline efficiency,
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but safer for continuous deployments.
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- **Newest first:** This process mode limits the concurrency of the jobs. When a resource is free,
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it picks the first job from the list of upcoming jobs (`created`, `scheduled` or `waiting_for_resource` state)
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that are sorted by pipeline ID in descending order.
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This mode is efficient when you want to ensure that the jobs are executed from the newest pipeline and
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cancel all of the old deploy jobs with the [skip outdated deployment jobs](../environments/deployment_safety.md#skip-outdated-deployment-jobs) feature.
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This is the most efficient option in terms of the pipeline efficiency, but you must ensure that each deployment job is idempotent.
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### Change the process mode
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To change the process mode of a resource group, you must use the API and
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send a request to [edit an existing resource group](../../api/resource_groups.md#edit-an-existing-resource-group)
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by specifying the `process_mode`:
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- `unordered`
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- `oldest_first`
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- `newest_first`
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### An example of difference between the process modes
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Consider the following `.gitlab-ci.yml`, where we have two jobs `build` and `deploy`
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each running in their own stage, and the `deploy` job has a resource group set to
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`production`:
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```yaml
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build:
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stage: build
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script: echo "Your build script"
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deploy:
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stage: deploy
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script: echo "Your deployment script"
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environment: production
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resource_group: production
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```
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If three commits are pushed to the project in a short interval, that means that three
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pipelines run almost at the same time:
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- The first pipeline runs the jobs `build` -> `deploy`. Let's call this deployment job `deploy-1`.
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- The second pipeline runs the jobs `build` -> `deploy`. Let's call this deployment job `deploy-2`.
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- The third pipeline runs the jobs `build` -> `deploy`. Let's call this deployment job `deploy-3`.
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Depending on the process mode of the resource group:
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- If the process mode is set to `unordered`:
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- `deploy-1`, `deploy-2`, and `deploy-3` do not run in parallel.
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- There is no guarantee on the job execution order, for example, `deploy-1` could run before or after `deploy-3` runs.
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- If the process mode is `oldest_first`:
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- `deploy-1`, `deploy-2`, and `deploy-3` do not run in parallel.
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- `deploy-1` runs first, `deploy-2` runs second, and `deploy-3` runs last.
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- If the process mode is `newest_first`:
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- `deploy-1`, `deploy-2`, and `deploy-3` do not run in parallel.
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- `deploy-3` runs first, `deploy-2` runs second and `deploy-1` runs last.
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## Pipeline-level concurrency control with cross-project/parent-child pipelines
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> [Introduced](https://gitlab.com/gitlab-org/gitlab/-/issues/39057) in GitLab 13.9.
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You can define `resource_group` for downstream pipelines that are sensitive to concurrent
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executions. The [`trigger` keyword](../yaml/index.md#trigger) can trigger downstream pipelines and the
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[`resource_group` keyword](../yaml/index.md#resource_group) can co-exist with it. `resource_group` is efficient to control the
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concurrency of deployment pipelines, while other jobs can continue to run concurrently.
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The following example has two pipeline configurations in a project. When a pipeline starts running,
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non-sensitive jobs are executed first and aren't affected by concurrent executions in other
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pipelines. However, GitLab ensures that there are no other deployment pipelines running before
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triggering a deployment (child) pipeline. If other deployment pipelines are running, GitLab waits
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until those pipelines finish before running another one.
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```yaml
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# .gitlab-ci.yml (parent pipeline)
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build:
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stage: build
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script: echo "Building..."
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test:
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stage: test
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script: echo "Testing..."
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deploy:
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stage: deploy
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trigger:
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include: deploy.gitlab-ci.yml
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strategy: depend
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resource_group: AWS-production
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environment: production
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```
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```yaml
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# deploy.gitlab-ci.yml (child pipeline)
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stages:
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- provision
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- deploy
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provision:
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stage: provision
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script: echo "Provisioning..."
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deployment:
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stage: deploy
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script: echo "Deploying..."
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environment: production
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```
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You must define [`strategy: depend`](../yaml/index.md#triggerstrategy)
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with the `trigger` keyword. This ensures that the lock isn't released until the downstream pipeline
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finishes.
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## API
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See the [API documentation](../../api/resource_groups.md).
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## Related features
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Read more how you can use GitLab for [safe deployments](../environments/deployment_safety.md).
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## Troubleshooting
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### Avoid dead locks in pipeline configurations
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Because [`oldest_first` process mode](#process-modes) enforces the jobs to be executed in a pipeline order,
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there is a case that it doesn't work well with the other CI features.
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For example, when you run [a child pipeline](../pipelines/downstream_pipelines.md#parent-child-pipelines)
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that requires the same resource group with the parent pipeline,
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a dead lock could happen. Here is an example of a _bad_ setup:
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```yaml
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# BAD
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test:
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stage: test
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trigger:
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include: child-pipeline-requires-production-resource-group.yml
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strategy: depend
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deploy:
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stage: deploy
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script: echo
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resource_group: production
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environment: production
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```
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In a parent pipeline, it runs the `test` job that subsequently runs a child pipeline,
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and the [`strategy: depend` option](../yaml/index.md#triggerstrategy) makes the `test` job wait until the child pipeline has finished.
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The parent pipeline runs the `deploy` job in the next stage, that requires a resource from the `production` resource group.
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If the process mode is `oldest_first`, it executes the jobs from the oldest pipelines, meaning the `deploy` job is executed next.
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However, a child pipeline also requires a resource from the `production` resource group.
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Because the child pipeline is newer than the parent pipeline, the child pipeline
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waits until the `deploy` job is finished, something that will never happen.
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In this case, you should specify the `resource_group` keyword in the parent pipeline configuration instead:
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```yaml
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# GOOD
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test:
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stage: test
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trigger:
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include: child-pipeline.yml
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strategy: depend
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resource_group: production # Specify the resource group in the parent pipeline
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deploy:
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stage: deploy
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script: echo
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resource_group: production
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environment: production
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```
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