Dagster project files#

This reference contains details about default and configuration files in a Dagster project, including:

File names
What the files do
Where files should be located in a project directory
Resources for structuring your Dagster project

Default files#

The following demonstrates a Dagster project using the default project skeleton, generated by the dagster project scaffold command:


.
├── README.md
├── my_dagster_project
│   ├── __init__.py
│   └──  assets.py
├── my_dagster_project_tests
├── pyproject.toml
├── setup.cfg
├── setup.py
└── tox.ini

Note: While this specific example uses a project created by scaffolding, projects created using an official example will also contain these files. In official examples, assets.py will be a subdirectory instead of a Python file.

Let's take a look at what each of these files and directories does:

File/Directory Description

my_dagster_project/

A Python module that contains Dagster code.

This directory also contains the following:

File/Directory Description

__init__.py The __init__.py file includes a Definitions object that contains all the definitions defined within your project. A definition can be an asset, a job, a schedule, a sensor, or a resource. This allows Dagster to load the definitions in a module.

Refer to the Code locations documentation to learn other ways to deploy and load your Dagster code.

assets.py A Python module that contains software-defined assets.

Note: As your project grows, we recommend organizing assets in sub-modules. For example, you can put all analytics-related assets in a my_dagster_project/assets/analytics/folder and use load_assets_from_package_module in the top-level definitions to load them, rather than needing to manually add assets to the top-level definitions every time you define one.

Similarly, you can also use load_assets_from_modules to load assets from single Python files. Refer to the Fully featured project guide for more info and best practices.

my_dagster_project_tests/ A Python module that contains tests for my_dagster_project.

README.md A description and starter guide for the Dagster project.

pyproject.toml A file that specifies package core metadata in a static, tool-agnostic way.

This file includes a tool.dagster section which references the Python module with your Dagster definitions defined and discoverable at the top level. This allows you to use thedagster dev command to load your Dagster code without any parameters. Refer to the Code locations documentation to learn more.

Note: pyproject.toml was introduced in PEP-518 and meant to replace setup.py, but we may still include a setup.py for compatibility with tools that do not use this spec.

setup.py A build script with Python package dependencies for your new project as a package. Use this file to specify dependencies.

Note: If using Dagster Cloud, add dagster-cloud as a dependency.

setup.cfg An ini file that contains option defaults for setup.py commands.

Configuration files#

Depending on your use case or if you're using Dagster Cloud, you may also need to add additional configuration files to your project. Refer to the Example project structures section for a look at how these files might fit into your projects.

File/Directory	Description	OSS	Cloud
dagster.yaml	Configures your Dagster instance, including defining storage locations, run launchers, sensors, and schedules. Refer to the dagster.yaml reference for more info, including a list of use cases and available options. For Dagster Cloud Hybrid deployments, this file can be used to customize the Hybrid agent.	Optional	Optional
dagster_cloud.yaml	Defines code locations for Dagster Cloud. Refer to the `dagster_cloud.yaml` reference for more info.	n/a	Recommended
deployment_settings.yaml	Configures settings for full deployments in Dagster Cloud, including run queue priority and concurrency limits. Refer to the Deployment settings reference for more info. Note: This file can be named anything, but we recommend choosing an easily understandable name.	n/a	Optional
workspace.yaml	Defines multiple code locations for local development or deploying to your infrastructure. Refer to the Workspace file documentation for more info and available options.	Optional	n/a

Example project structures#

Using the default project skeleton, let's take a look at how some example Dagster projects would be structured in different scenarios.

Note: With the exception of dagster_cloud.yaml, it's not necessary for configuration files to be located with your project files. These files typically need to be located in DAGSTER_HOME. For example, in larger deployments, DAGSTER_HOME and Dagster infrastructure configuration can be managed separately from the code locations they support.

Local development#

Single code location#

For local development, a project with a single code location might look like this:


.
├── README.md
├── my_dagster_project
│   ├── __init__.py
│   └──  assets.py
├── my_dagster_project_tests
├── dagster.yaml      ## optional, used for instance settings
├── pyproject.toml    ## optional, used to define the project as a module
├── setup.cfg
├── setup.py
└── tox.ini

Multiple code locations#

For local development, a project with multiple code locations might look like this:


.
├── README.md
├── my_dagster_project
│   ├── __init__.py
│   └──  assets.py
├── my_dagster_project_tests
├── dagster.yaml      ## optional, used for instance settings
├── pyproject.toml
├── setup.cfg
├── setup.py
├── tox.ini
└── workspace.yaml    ## defines multiple code locations

Dagster Open Source deployment#

Once you're ready to move from working locally to deploying Dagster to your infrastructure, use our deployment guides to get up and running.

A Dagster project deployed to your infrastructure might look like this:


.
├── README.md
├── my_dagster_project
│   ├── __init__.py
│   └──  assets.py
├── my_dagster_project_tests
├── dagster.yaml      ## optional, used for instance settings
├── pyproject.toml
├── setup.cfg
├── setup.py
├── tox.ini
└── workspace.yaml    ## defines multiple code locations

Dagster Cloud#

Depending on the type of deployment you're using in Dagster Cloud - Serverless or Hybrid - your project structure might look slightly different. Click the tabs for more info.

Serverless deployment#

For a Dagster Cloud Serverless deployment, a project might look like this:


.
├── README.md
├── my_dagster_project
│   ├── __init__.py
│   └──  assets.py
├── my_dagster_project_tests
├── dagster_cloud.yaml         ## defines code locations
├── deployment_settings.yaml   ## optional, defines settings for full deployments
├── pyproject.toml
├── setup.cfg
├── setup.py
└── tox.ini

Hybrid deployment#

For a Dagster Cloud Hybrid deployment, a project might look like this:


.
├── README.md
├── my_dagster_project
│   ├── __init__.py
│   └──  assets.py
├── my_dagster_project_tests
├── dagster.yaml                ## optional, hybrid agent custom configuration
├── dagster_cloud.yaml          ## defines code locations
├── deployment_settings.yaml    ## optional, defines settings for full deployments
├── pyproject.toml
├── setup.cfg
├── setup.py
└── tox.ini

Next steps#

You learned about the default files in a Dagster project and where they should be located, but what about the files containing your Dagster code?

To sustainably scale your project, check out our best practices and recommendations in the Structuring your project guide.

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