This extension makes vscode seamlessly work with dbt.
Main features:
- Generate models from your source definitions
- Query result set visualization
- Lineage of current model
- Execute all or individual model tests
- Go to the definition of any models, macros, sources and docs.
- Autocompletion of models, macros, sources and docs
- Ability to run a model through the play button of the document
- Ability to build a model through the paper plane button (next to the play button)
- dbt update notifications
- dbt logs viewer (force tailing)
This extension is using the Python extension to detect Python interpreters that are installed in standard locations. See Python Environments.
This extension is fully compatible with the remote extension. See Visual Studio Code Remote - Containers and Visual Studio Code Remote - WSL.
Please let us know about any bugs or feature requests through the github issues.
This extension is sponsored by innover.io.
If you want to contribute to the extension, let us know and we will help set you up.
You should associate your .sql files with the jinja-sql language by configuring in Preferences > Settings
or add the following in settings.json:
"files.associations": {
"*.sql": "jinja-sql"
},
Ensure that the Python interpreter selection is always visible for ease of use:
Make sure that you select the interpreter that has dbt installed. In my case it is virtual environment in the project itself.
Avoid using the setting dbt.dbtPythonPathOverride unless using Meltano, the extension depends on the Python interpreter for visual code compatible environment variable parsing.
When you set the Python interpreter, the extension will try to detect dbt and you should be able to make use of the features listed below.
This extension supports environment variables in various ways;
These environment variables will be passed to all operations of the extension. Note that the environment variable should be valid for all your dbt projects. For example DBT_PROFILES_DIR can be set to ., that way dbt will lookup the profiles.yaml file inside the root of the dbt project.
The extension also loads an environment variable definitions file identified by the python.envFile setting. The default value of this setting is ${workspaceFolder}/.env.
This way supports all Visual Code variable substitution patterns and is best practise. Read all about environment variables supported by the Visual Code Python extension
The extension will read any vscode configurations in .vscode/settings.json and pass them to all operations of the extension:
"terminal.integrated.env.[osx|windows|linux]": {
"DBT_PROFILES_DIR": "."
}
Note that Visual Code variable substitution is not supported except the environment variable pattern ${env:*} and ${workspaceFolder}.
Your database may not support standard SQL LIMIT statements like SELECT * from table LIMIT 10.
You can override this default behaviour through dbt.queryTemplate.
Please make a PR if you find that you need to change dbt.queryTemplate for your favourite adapter and help the community.
Change to select * from ({query})\n where ROWNUM <= {limit}
Change to {query}\n order by 1 OFFSET 0 ROWS FETCH FIRST {limit} ROWS ONLY
Note that your query can't have an order by clause.
Install sqlfmt through running pip install 'shandy-sqlfmt[jinjafmt]'. Find more about sqlfmt in their docs.
Please select "dbt Power User" (extension id:innoverio.vscode-dbt-power-user) as the default formatter. You can do this either by using the context menu (right click on a open dbt model in the editor) and select "Format Document With...", or you can add the following to your settings:
"[jinja-sql]": {
"editor.defaultFormatter": "innoverio.vscode-dbt-power-user"
}You can enable format on save for python by having the following values in your settings:
"[jinja-sql]": {
"editor.defaultFormatter": "innoverio.vscode-dbt-power-user",
"editor.formatOnSave": true
}
You can select a file name template and prefix in the settings.
