vscode-dbt-power-user

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.

Features

Autocomplete model, macro, source names and click to go to definition

Auto-fill model names, macros, sources and docs. Click on model names, macros, sources to go to definitions. (docs)

Preview query results and analyze

Generate dbt model / query results. Export as CSV or analyze results by creating graphs, filters, groups. (docs)

Column lineage

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 source or SQL

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 documentation

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)