LakeQL
Introduction
  • Overview
  • Why LakeQL
  • Key Concepts
Getting Started
  • Prerequisites
  • Quickstart
  • Environment
  • First Run
Architecture
  • System Overview
  • Data Flow
  • Request Lifecycle
Configuration
  • Config File
  • Runtime Lifecycle
  • Environment Variables
create-app
  • Usage
  • Template Structure
  • Post-Creation
Guides
  • Custom Resolvers
  • Extending the Schema
  • Mutations
  • Set Up a Trino Mutation
  • Deploying
Endpoints
  • Definition Format
  • Field Types
  • Nested Fields
  • Mutations
  • Glossary
Contributing
  • Local Development
  • Contribution Guide
  • Architecture
GitHub
LakeQL
  1. LakeQL
  2. create-app
  3. Post-Creation

Post-Creation

What to do after scaffolding a project.

When create-app finishes, you have a runnable project. It still needs your data source details and at least one generated endpoint.

Install dependencies

If you ran with --no-install, install dependencies now with your package manager.

Configure the environment

Copy .env.example to .env and fill in your data source connection details. See environment configuration.

Generate an endpoint

Introspect a table with pull to generate its typed files.

Start the server

Run the dev script and make your first request.

From here, add more endpoints as your schema grows. Explore the guides for custom resolvers, schema extensions, mutations, and deployment.

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Template Structure

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Guides