Bug fix / enhancement to an existing Studio import flow. ## What is the current behavior? Studio currently supports converting empty CSV cells to `NULL`, but the behavior applies across all imported columns. That makes it impossible to preserve empty strings in some columns while still treating empty cells as `NULL` in others. This follows up on the earlier CSV import fix discussed in #43281, which addressed the underlying issue reported in #43258. ## What is the new behavior? This PR updates the CSV import flow so users can choose exactly which imported columns should convert empty cells to `NULL`. The import flow now: - keeps all imported columns selected by default for backwards-compatible behavior - lets users narrow that selection down to specific columns - keeps preview behavior aligned with the actual inserted data ## Additional context I manually verified the full create-table-from-CSV flow locally in Studio, including saving the imported data and confirming that only the selected columns were persisted as `NULL` while other empty cells remained empty values. Formatting was checked with Prettier. A direct production build run was started locally, but the Next.js build process remained running without producing a final result during this session, so I am not claiming a completed local build verification here. ## Related issues - Fix follow-up for #43281 - Original issue: #43258 ## Summary by CodeRabbit ## Release Notes * **New Features** * Added a "Set empty cells as NULL" selector during spreadsheet import, allowing users to specify which columns should treat empty strings as NULL values rather than converting all nullable columns automatically. * Enhanced import preview to display NULL representation for selected empty-string columns. * **Tests** * Added test coverage for selective empty-string-to-NULL conversion behavior. --------- Co-authored-by: Charis Lam <26616127+charislam@users.noreply.github.com>
Supabase Studio
A dashboard for managing your self-hosted Supabase project, and used on our hosted platform. Built with:
What's included
Studio is designed to work with existing deployments - either the local hosted, docker setup, or our CLI. It is not intended for managing the deployment and administration of projects - that's out of scope.
As such, the features exposed on Studio for existing deployments are limited to those which manage your database:
- Table & SQL editors
- Saved queries are unavailable
- Database management
- Policies, roles, extensions, replication
- API documentation
Managing Project Settings
Project settings are managed outside of the Dashboard. If you use docker compose, you should manage the settings in your docker-compose file. If you're deploying Supabase to your own cloud, you should store your secrets and env vars in a vault or secrets manager.
How to contribute?
- Branch from
masterand name your branches with the following structure{type}/{branch_name}- Type:
chore | fix | feature - The branch name is arbitrary — just make sure it summarizes the work.
- Type:
- When you send a PR to
master, it will automatically tag members of the frontend team for review. - Review the contributing checklists to help test your feature before sending a PR.
- The Dashboard is under active development. You should run
git pullfrequently to make sure you're up to date.
Developer Quickstart
Note
Supabase internal use: To develop on Studio locally with the backend services, see the instructions in the internal
infrastructurerepo.
# You'll need to be on Node v20
# in /studio
## For external contributors
pnpm install # install dependencies
pnpm run dev # start dev server
## For internal contributors
## First clone the private supabase/platform repo and follow instructions for setting up mise
mise studio # Run from supabase/platform alongside `mise infra`
## For all
pnpm run test # run tests
pnpm run test -- --watch # run tests in watch mode
Running within a self-hosted environment
Follow the self-hosting guide to get started.
cd ..
cd docker
docker compose -f docker-compose.yml -f ./dev/docker-compose.dev.yml up
Once you've got that set up, update .env in the studio folder with the corresponding values.
POSTGRES_PASSWORD=
SUPABASE_ANON_KEY=
SUPABASE_SERVICE_KEY=
Then run the following commands to install dependencies and start the dashboard.
npm install
npm run dev
If you would like to configure different defaults for "Default Organization" and "Default Project", you will need to update the .env in the studio folder with the corresponding values.
DEFAULT_ORGANIZATION_NAME=
DEFAULT_PROJECT_NAME=