Database Configuration

Set up your database models, relationships, and queries

Database Configuration

The Database Dashboard in CodeNull allows you to visually design and manage your application’s data models without writing complex database code. Our no-code tools help you create, relate, and query your data with ease.

The Database Configuration Process

1. Design Data Models

   Create your database schema:

   • Define entity types
   • Set up fields and properties
   • Configure data types and validation
   • Establish primary keys
2. Define Relationships

   Connect your data models:

   • One-to-one relationships
   • One-to-many relationships
   • Many-to-many relationships
   • Self-referential relationships
3. Configure Indexes

   Optimize database performance:

   • Create indexes for frequent queries
   • Set up unique constraints
   • Configure composite indexes
   • Plan index strategy
4. Set Up Validation Rules

   Ensure data integrity:

   • Required fields
   • Field format validation
   • Value constraints
   • Custom validation rules
5. Create Initial Data

   Prepare your database for use:

   • Default records
   • Seed data
   • Test data sets
   • Migration plans

Database Dashboard Tools

CodeNull’s Database Dashboard features several tools to make database management accessible:

Schema Designer

The visual Schema Designer helps you create and visualize your data models:

Key features:

• Drag-and-drop model creation
• Visual relationship mapping
• Field type selection
• Validation rule builder

Data Explorer

Browse and manage your database with the Data Explorer:

Features include:

• Browse collections/tables
• Filter and sort records
• Edit data directly
• Import/export functionality

Query Builder

Create complex database queries without writing code:

Query capabilities:

• Visual condition building
• Join across collections
• Aggregation operations
• Projection controls

Supported Database Types

CodeNull supports several database types to meet your application needs:

MongoDB

Document-based NoSQL database for flexible, schema-less data

PostgreSQL

Powerful relational database with advanced features

MySQL

Popular relational database for structured data

Excel Import

Import existing Excel data into your application

CSV Import

Use comma-separated value files as data sources

JSON Import

Import JSON data structures into your database

Best Practices

Denormalize data (duplicate some information across collections) when using NoSQL databases to improve read performance for common queries.

• Keep relationships simple: Avoid overly complex relationship structures
• Consider query patterns: Design your schema based on how you’ll query the data
• Use appropriate field types: Choose the right data type for each field
• Plan for scale: Consider how your data model will handle growth
• Document your schema: Keep clear documentation of your data model

Data Security

CodeNull provides robust security features for your database:

Access Control

• Field-level access rules
• Row-level security
• Role-based permissions
• API-level restrictions

Data Protection

• Encryption options
• Personally identifiable information (PII) handling
• GDPR compliance tools
• Data redaction

Audit Trails

• Change tracking
• User activity logs
• Data access monitoring
• Historical record keeping

Next Steps

Once you’ve configured your database, you’re ready to move on to Deployment & Evaluation to deploy your application and monitor its performance.