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Data Grip

Data Grip

vs-code-database-client

|
4 installs
| (0) | Free
An AI-native VS Code database client for PostgreSQL and Redshift.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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More Info

Data Grip

Data Grip is a VS Code database workbench for PostgreSQL and Redshift. It is built for the everyday database workflow inside an editor:

connect -> browse schema -> write SQL -> run queries -> inspect results -> reuse history

The extension is not intended to replace VS Code with a separate database IDE. It brings the core DataGrip-style workflow into VS Code: durable query consoles, schema-aware SQL editing, table browsing, query sessions, result grids, and local query history.

Features

Area What it does
Connections Save PostgreSQL and Redshift connections, connect/disconnect, and keep the selected connection available to SQL files.
Schema explorer Browse databases, schemas, tables, views, columns, keys, indexes, and object metadata from the Database activity view.
Query consoles Open persistent SQL consoles per connection. Consoles are stored under .vscode-data-grip when a workspace is open, or in VS Code extension storage when no workspace is open.
SQL execution Run the current query, a selected range, or a full SQL file. Multi-statement selections execute as one batch so temp tables and transactions share a session.
Results Inspect query results in a VS Code panel with tabs, row limits, paging controls, copy/export actions, and execution status.
Autocomplete Use cached schema metadata for table, view, schema, alias, and column suggestions.
Query sessions Track active consoles and older query history so useful SQL can be found and reopened later.
AI assistance Use VS Code language models to explain SQL, fix SQL, and summarize query memory without storing database passwords in prompts.

Quick Start

  1. Open the Database activity view in VS Code.
  2. Run Database: Add Database Connection.
  3. Choose PostgreSQL or Redshift and enter the connection details.
  4. Run Database: Add Query Console.
  5. Type SQL and run it with Ctrl+Enter on Windows/Linux or Cmd+Enter on macOS.
  6. Open the Database panel to inspect result tabs and query sessions.

For schema-aware autocomplete, connect to a database and open a query console or bind a .sql file with Database: Set SQL File Connection. Metadata warms in the background. After the cache is ready, table and column completions appear from the active connection.

Run Locally

Prerequisites

  • VS Code 1.90 or newer
  • Node.js 20 or newer
  • npm
  • A PostgreSQL or Redshift database for manual testing

Start the Extension Development Host

  1. Install dependencies:

    npm install
    
  2. Build the extension and webview assets:

    npm run build
    
  3. Open this repository in VS Code:

    code .
    
  4. Press F5, or open Run and Debug and choose Run Extension.

VS Code starts a new Extension Development Host window with this extension loaded from the local repository.

Use the Local Extension

In the Extension Development Host window:

  1. Open the Database activity view.
  2. Add a PostgreSQL or Redshift connection.
  3. Click Test Connection.
  4. Open a query console with Database: Add Query Console.
  5. Run a query with Ctrl+Enter or Cmd+Enter.
  6. Open a table from the explorer to preview table data.

Local Development Loop

Use these commands while developing:

npm run lint
npm test
npm run build

Use npm run lint for TypeScript checks, npm test for Vitest tests, and npm run build before launching or packaging the extension.

For TypeScript-only iteration, run:

npm run watch

If you change React result-panel code or CSS under src/webviews/results/app, rebuild the webview bundle:

npm run bundle:webview

Manual Database Check

Use a small PostgreSQL database to verify schema metadata, autocomplete, query execution, and result rendering.

Create a basic table:

create schema if not exists public;

create table if not exists public.users (
  id integer primary key,
  email text not null
);

Then, in a query console connected to that database, type:

select u.
from public.users u

Expected behavior:

  • id and email appear as column suggestions after metadata warms.
  • Incomplete SQL does not produce schema diagnostics until metadata is fresh enough to verify it.
  • Running a query shows a loading state, then a populated result tab.

Tests

Run all tests:

npm test

Run TypeScript checks:

npm run lint

Run the full build:

npm run build

The PostgreSQL metadata integration test is opt-in. Provide a database URL when you want to run it:

DATABASE_INTEGRATION_URL=postgres://postgres:postgres@localhost:5432/postgres npm test

Troubleshooting

No Workspace Is Open

If no VS Code workspace is open, query console files are stored in VS Code extension storage instead of .vscode-data-grip. This is expected. SQL autocomplete still works after schema metadata warms.

Autocomplete Only Shows SQL Keywords

Check that the SQL file or console is bound to a connection. Run Database: Show SQL Metadata Status to see whether the schema cache is empty, stale, loading, or ready.

Table Preview Looks Empty

The table preview should show a loading state while data is being fetched. If it stays empty, check the connection state and run Database: Refresh Database Explorer.

Changes Do Not Appear in the Extension Host

Run npm run build, then reload the Extension Development Host window. For result-panel UI changes, make sure npm run bundle:webview has run.

Project Structure

src/database/       Connection manager, query executor, and database drivers
src/explorer/       Database tree nodes and explorer provider
src/persistence/    Connection, console, history, memory, and result stores
src/services/       SQL parsing, metadata cache, diagnostics, and query memory
src/webviews/       Connection editor, query sessions, table preview, and results UI
tests/              Unit and integration tests
media/              Built webview assets and extension icons
dist/               Compiled extension output

Status

This project is in active development. PostgreSQL and Redshift are the supported database engines. The core workflow is available, but local testing against real databases is still important before shipping driver, schema-cache, or query-execution changes.

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