This open source extension makes VSCode seamlessly work with dbt.
If you need help with setting up the extension, please check the documentation. For any issues or bugs, please contact us via chat or Slack.
Features:
| Feature | Details |
|---|---|
| Auto-complete dbt code | Auto-fill model names, macros, sources and docs. Click on model names, macros, sources to go to definitions. |
| Preview Query results and Analyze | Generate dbt model / query results. Export as CSV or analyze results by creating graphs, filters, groups |
| Column lineage | Model lineage as well as column lineage |
| Generate dbt Models | from source files or convert SQL to dbt Model (docs) |
| Generate documentation | Generate model and column descriptions or write in the UI editor. Save formatted text in YAML files. |
| Click to run parent / child models and tests | Just click to do common dbt operations like running tests, parent / child models or previewing data. |
| Compiled query preview and explanation | Get live preview of compiled query as your write code. Also, generate explanations for dbt code written previously (by somebody else) |
| Project health check | Identify issues in your dbt project like columns not present, models not materialized |
| SQL validator | Identify issues in SQL like typos in keywords, missing or extra parentheses, non-existent columns |
| Big Query cost estimator | Estimate data that will be processed by dbt model in BigQuery |
| Other features | dbt logs viewer (force tailing) |
Note: This extension is fully compatible with dev containers, code spaces and remote extension. See Visual Studio Code Remote - Containers and Visual Studio Code Remote - WSL. The extension is supported for dbt versions above 1.0.
Auto-fill model names, macros, sources and docs. Click on model names, macros, sources to go to definitions. (docs)
Generate dbt model / query results. Export as CSV or analyze results by creating graphs, filters, groups. (docs)
View model lineage as well as column lineage with components like models, seeds, sources, exposures and info like model types, tests, documentation, linkage types. (docs)
Generate dbt models from sources defined in YAML. You can also convert existing SQL to a dbt model where references get populated automatically. (docs)
Generate model and column descriptions automatically or write descriptions manually in the UI editor. Your descriptions are automatically formatted and saved in YAML files. (docs)
Just click to do common button operations like executing tests, building or running parent / child models. (docs)
Get live preview of compiled query as your write code. Also, generate explanations for dbt code written previously (by somebody else). (docs)
Identify issues in your dbt project like columns not present, models not materialized. (docs)
Validate SQL to identify issues like mistyped keywords, extra parentheses, columns no present in database (docs)
Estimate data that will be processed by dbt model in BigQuery (docs)
dbt logs view (force tailing)
Please check documentation for additional info. For any issues or bugs, please contact us via chat or Slack.