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Rename multi pipelines to workflows (#1285)
Co-authored-by: 6543 <6543@obermui.de>
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@ -873,7 +873,7 @@ when:
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## `depends_on`
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Woodpecker supports to define multiple pipelines for a repository. Those pipelines will run independent from each other. To depend them on each other you can use the [`depends_on`](https://woodpecker-ci.org/docs/usage/multi-pipeline#flow-control) keyword.
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Woodpecker supports to define multiple workflows for a repository. Those workflows will run independent from each other. To depend them on each other you can use the [`depends_on`](https://woodpecker-ci.org/docs/usage/workflows#flow-control) keyword.
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## Privileged mode
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# Multi pipelines
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# Workflows
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:::info
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This Feature is only available for GitHub, Gitea & GitLab repositories. Follow [this](https://github.com/woodpecker-ci/woodpecker/issues/131) issue to support further development.
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:::
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By default, Woodpecker looks for the pipeline definition in `.woodpecker.yml` in the project root.
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A pipeline has at least one workflow. A workflow is a set of steps that are executed in sequence using the same workspace which is a shared folder containing the repository and all the generated data from previous steps.
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The Multi-Pipeline feature allows the pipeline to be split into several files and placed in the `.woodpecker/` folder. Only `.yml` and `.yaml` files will be used and files in any subfolders like `.woodpecker/sub-folder/test.yml` will be ignored. You can set some custom path like `.my-ci/pipelines/` instead of `.woodpecker/` in the [project settings](./71-project-settings.md).
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Incase there is a single configuration in `.woodpecker.yml` Woodpecker will create a pipeline with a single workflow.
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## Rational
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By placing the configurations in a folder which is by default named `.woodpecker/` Woodpecker will create a pipeline with multiple workflows each named by the file they are defined in. Only `.yml` and `.yaml` files will be used and files in any subfolders like `.woodpecker/sub-folder/test.yml` will be ignored.
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- faster lint/test feedback, the pipeline doesn't have to run fully to have a lint status pushed to the forge
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- better organization of the pipeline along various concerns: testing, linting, feature apps
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- utilizing more agents to speed up build
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You can also set some custom path like `.my-ci/pipelines/` instead of `.woodpecker/` in the [project settings](./71-project-settings.md).
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## Example multi-pipeline definition
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## Benefits of using workflows
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- faster lint/test feedback, the workflow doesn't have to run fully to have a lint status pushed to the remote
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- better organization of a pipeline along various concerns using one workflow for: testing, linting, building and deploying
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- utilizing more agents to speed up the execution of the whole pipeline
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## Example workflow definition
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:::warning
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Please note that files are only shared between steps of the same pipeline (see [File changes are incremental](./20-pipeline-syntax.md#file-changes-are-incremental)). That means you cannot access artifacts e.g. from the `build` pipeline below in the `deploy` pipeline.
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If you still need to pass artifacts between the pipelines you need use storage [plugins](./51-plugins/10-plugins.md) (e.g. one which stores files in an Amazon S3 bucket).
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Please note that files are only shared between steps of the same workflow (see [File changes are incremental](./20-pipeline-syntax.md#file-changes-are-incremental)). That means you cannot access artifacts e.g. from the `build` workflow in the `deploy` workflow.
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If you still need to pass artifacts between the workflows you need use some storage [plugin](./51-plugins/10-plugins.md) (e.g. one which stores files in an Amazon S3 bucket).
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:::
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```bash
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## Status lines
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Each pipeline will report its own status back to your forge.
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Each workflow will report its own status back to your forge.
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## Flow control
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The pipelines run in parallel on separate agents and share nothing.
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The workflows run in parallel on separate agents and share nothing.
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Dependencies between pipelines can be set with the `depends_on` element. A pipeline doesn't execute until all of its dependencies finished successfully.
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Dependencies between workflows can be set with the `depends_on` element. A workflow doesn't execute until all of its dependencies finished successfully.
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The name for a `depends_on` entry is the filename without the path, leading dots and without the file extension `.yml` or `.yaml`. If the project config for example uses `.woodpecker/` as path for CI files with a file named `.woodpecker/.lint.yml` the corresponding `depends_on` entry would be `lint`.
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+ - test
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```
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Pipelines that need to run even on failures should set the `runs_on` tag.
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Workflows that need to run even on failures should set the `runs_on` tag.
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```diff
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pipeline:
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+runs_on: [ success, failure ]
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```
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Some pipelines don't need the source code, set the `skip_clone` tag to skip cloning:
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Some workflows don't need the source code, set the `skip_clone` tag to skip cloning:
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```diff
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# Matrix pipelines
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Woodpecker has integrated support for matrix pipeline. Woodpecker executes a separate pipeline for each combination in the matrix, allowing you to build and test a single commit against multiple configurations.
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Woodpecker has integrated support for matrix workflows. Woodpecker executes a separate workflow for each combination in the matrix, allowing you to build and test a single commit against multiple configurations.
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Example matrix definition:
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## Pipeline path
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The path to the pipeline config file or folder. By default it is left empty which will use the following configuration resolution `.woodpecker/*.yml` and `.woodpecker/*.yaml` (without any preference in handling them) -> `.woodpecker.yml` -> `.woodpecker.yaml` -> `.drone.yml`. If you set a custom path Woodpecker tries to load your configuration or fails if no configuration could be found at the specified location. To use a [multi pipeline](./25-multi-pipeline.md) you have to change it to a folder path ending with a `/` like `.woodpecker/`.
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The path to the pipeline config file or folder. By default it is left empty which will use the following configuration resolution `.woodpecker/*.yml` -> `.woodpecker/*.yaml` -> `.woodpecker.yml` -> `.woodpecker.yaml` -> `.drone.yml`. If you set a custom path Woodpecker tries to load your configuration or fails if no configuration could be found at the specified location. To use a [multiple workflows](./25-workflows.md) with a custom path you have to change it to a folder path ending with a `/` like `.woodpecker/`.
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## Repository hooks
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| Event: Pull-Request | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :white_check_mark: | :white_check_mark: |
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| Event: Deploy | :white_check_mark: | :x: | :x: | :x: | :x: | :x: | :x: |
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| OAuth | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :white_check_mark: |
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| [Multi pipeline](../../20-usage/25-multi-pipeline.md) | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :x: | :x: | :x: |
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| [Multiple workflows](../../20-usage/25-workflows.md) | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x: | :x: | :x: | :x: |
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| [when.path filter](../../20-usage/20-pipeline-syntax.md#path) | :white_check_mark: | :white_check_mark:¹ | :white_check_mark: | :x: | :x: | :x: | :x: |
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¹) for Gitea versions 1.17 or lower not for pull requests
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## What are the differences to Drone?
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Apart from Woodpecker staying free and OpenSource forever, the growing community already introduced some nifty features like:
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- [Multi pipelines](/docs/usage/multi-pipeline)
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- [Conditional step execution on file changes](/docs/usage/conditional-execution#path)
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- [Multiple workflows](/docs/next/usage/workflows)
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- [Conditional step execution on file changes](/docs/usage/pipeline-syntax#path)
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- [More features are already in the pipeline :wink:](https://github.com/woodpecker-ci/woodpecker/pulls) ...
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## Why is Woodpecker a fork of Drone version 0.8?
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