This document outlines the detailed design specifications, wireframe descriptions, color palettes, and critical User Experience (UX) recommendations for the "Database Schema Designer" tool. This initial design phase is a direct result of our collaborative discovery process, reflecting key requirements and desired functionalities. This deliverable serves as the blueprint for the subsequent development stages, ensuring alignment with your vision for a powerful, intuitive, and collaborative schema design environment.
This section details the functional and non-functional requirements that will guide the development of the Database Schema Designer.
* Drag-and-Drop Interface: Users can easily drag and drop new tables, views, and other database objects onto the canvas.
* Relationship Drawing: Intuitive tools to draw relationships (1:1, 1:N, N:M) between entities, automatically inferring foreign keys where applicable.
* Zoom & Pan: Ability to zoom in/out and pan across the canvas for large schemas.
* Layout Management: Automatic and manual layout options for schema elements.
* Grouping: Ability to group related tables/entities for better organization.
* Create/Edit/Delete Tables: Dedicated interface for defining table properties (name, comments, engine, charset).
* Column Management:
* Add, edit, delete columns within a table.
* Define column properties: name, data type (with type-specific options), length/precision, NULL/NOT NULL, default value, auto-increment, unique, primary key, foreign key.
* Support for various data types (e.g., INT, VARCHAR, TEXT, DATE, BOOLEAN, JSON, etc., with database-specific variations).
* Indexes: Define primary, unique, and composite indexes.
* Constraints: Support for CHECK constraints.
* Cardinality Definition: Clearly define 1:1, 1:N, N:M relationships.
* Foreign Key Configuration: Specify ON UPDATE/ON DELETE actions (CASCADE, SET NULL, RESTRICT, NO ACTION).
* Visual Representation: Clear visual indicators for relationship types and foreign key links.
* Project Management: Create, save, load, and manage multiple schema projects.
* Versioning/History: Track changes to schemas, with the ability to revert to previous versions. (Initial design will focus on basic save/load; advanced versioning can be a future enhancement).
* Import:
* SQL DDL: Parse existing SQL DDL to generate a visual schema.
* Database Connection: Connect to an existing database to reverse-engineer its schema.
* JSON/YAML: Import schema definitions from structured files.
* Export:
* SQL DDL: Generate SQL DDL scripts compatible with various database systems (e.g., MySQL, PostgreSQL, SQL Server, Oracle).
* Image Formats: Export schema as PNG, SVG for documentation.
* JSON/YAML: Export schema definitions.
* Real-time validation of schema design (e.g., duplicate column names, invalid data types, broken foreign key references).
* Clear visual feedback for errors and warnings.
* Sharing: Securely share schema projects with other users (read-only, editor access).
* Commenting: Allow users to add comments to specific tables, columns, or relationships.
* Real-time Presence (Optional, future consideration): Indicate when other users are viewing/editing the same schema.
* Responsive UI, even with large and complex schemas (100+ tables).
* Fast rendering of the canvas and property panels.
* Intuitive and easy-to-learn interface for both novice and experienced users.
* Minimal clicks for common actions.
* Clear and consistent navigation.
* Ability to handle complex schemas with numerous tables and relationships without performance degradation.
* Secure user authentication and authorization for collaborative features.
* Data encryption for stored schema definitions.
* Support for modern web browsers (Chrome, Firefox, Edge, Safari).
* Adherence to WCAG 2.1 AA guidelines where feasible, focusing on keyboard navigation and sufficient color contrast.
The following descriptions outline the key screens and their primary elements. These are conceptual representations to guide layout and functionality.
* Header: Application logo, user profile/settings, global search.
* Sidebar Navigation:
* "My Projects" (default view)
* "Shared with Me"
* "Templates" (pre-built schema examples)
* "Trash"
* Main Content Area:
* "Create New Project" Button: Prominently displayed.
* Project List/Grid: Displays existing projects with key information:
* Project Name
* Last Modified Date
* Owner/Shared Status
* Preview Thumbnail (optional, for visual context)
* Action buttons (Edit, Delete, Share, Duplicate) on hover or via context menu.
* Search/Filter Bar: To quickly find projects by name, owner, etc.
* Top Toolbar:
* Project Name / Breadcrumbs
* Save, Undo, Redo buttons
* Import/Export options
* Database Connection / Generate DDL button
* Collaboration/Share button
* Zoom controls (+/- / fit to screen)
* Left Sidebar (Tools Panel):
* "Add Table" Button: Click to add a new table to the canvas.
* "Add View" Button: Click to add a new view.
* "Add Relationship" Tool: Activates drawing mode for relationships.
* "Group" Tool: For grouping selected entities.
* "Search Canvas" Bar: To find specific tables/columns within the current schema.
* Schema Outline/Navigator: A miniature overview of the entire schema, with a draggable viewport.
* Central Canvas Area:
* Drag-and-Drop Entities: Tables, views, groups are represented as draggable boxes.
* Table Representation: Each table box displays:
* Table Name
* Primary Key (PK) indicator
* Column List: Each column shows name, data type, PK/FK/Unique indicators.
* Context menu (right-click) for table-specific actions (Edit Table, Add Column, Delete Table).
* Relationship Lines: Visually connect tables, showing cardinality (e.g., crow's foot notation or simple arrows with labels). Lines are interactive (click to select/edit relationship).
* Right Sidebar (Properties Panel):
* Contextual Display: Shows properties of the currently selected element (Table, Column, Relationship, or Canvas itself).
* Table Properties: Name, Engine, Charset, Comments, List of Columns (editable).
* Column Properties: Name, Data Type, Length, Nullable, Default, PK, FK, Unique, Auto-increment, Comments.
* Relationship Properties: Source/Target Table, Cardinality, ON UPDATE/ON DELETE actions.
* Collaboration Tab (within Properties Panel): Displays comments related to the selected element, allows adding new comments.
* Table Details Section:
* Table Name (input field)
* Table Engine (dropdown)
* Charset (dropdown)
* Comments (textarea)
* Columns Section (Tabular/List View):
* "Add Column" Button: Adds a new row to the column list.
* Column Rows: Each row represents a column with editable fields:
* Name (text input)
* Data Type (dropdown, potentially with sub-options like length/precision)
* PK (checkbox)
* NN (Not Null checkbox)
* UQ (Unique checkbox)
* AI (Auto-Increment checkbox)
* Default Value (text input/dropdown for common defaults)
* Comments (text input)
* Action icons (Delete, Duplicate, Reorder)
* Indexes Section (Optional Tab): List and manage table-level indexes.
* Foreign Keys Section (Optional Tab): List and manage foreign keys originating from this table.
* Action Buttons: "Save," "Cancel" (if modal) or auto-save if a panel.
A professional, clean, and accessible color palette will be crucial for usability and brand identity.
#007BFF): Dominant for interactive elements like primary buttons, selected states, and main accents. Represents trust and professionalism.#0056B3): Darker shade for hover/active states of primary elements.#E6F2FF): Used for subtle backgrounds, selected rows, or highlight areas.#28A745): For success messages, positive actions (e.g., "Add New").#FFC107): For warnings, pending actions, or less critical highlights.#DC3545): For error messages, destructive actions (e.g., "Delete").#FFFFFF): Main canvas and content area background.#F8F9FA): Secondary backgrounds, card backgrounds, hover states on neutral elements.#E9ECEF): Borders, dividers, disabled states.#343A40): Primary text color, strong headings.#6C757D): Secondary text, labels, subtle hints.#28A745)#FFC107)#DC3545)#17A2B8)These recommendations aim to enhance the overall user experience, making the schema designer intuitive, efficient, and enjoyable to use.
This deliverable provides the comprehensive, production-ready SQL DDL (Data Definition Language) script for your designed database schema. This code is generated based on the collaborative schema definition established in the previous step and is optimized for PostgreSQL.
The script includes:
CREATE TABLE statements with appropriate column definitions, data types, and nullability constraints.ON DELETE and ON UPDATE actions.CREATE INDEX statements to improve query performance on frequently accessed columns and foreign keys.This section presents the generated SQL DDL script for your database schema. Each section of the script is thoroughly commented to explain its purpose, design choices, and best practices.
The generated schema represents a typical e-commerce platform structure, encompassing users, products, categories, orders, order items, and product reviews.
Key Design Principles Applied:
UUID for primary keys in core transactional tables to facilitate distributed systems and avoid sequential ID bottlenecks, alongside SERIAL for simpler lookup tables.created_at and updated_at timestamps for tracking record changes.The following SQL script can be executed directly on a PostgreSQL database to create the complete schema.
-- SQL DDL Script for E-commerce Database Schema
-- Target RDBMS: PostgreSQL
-- Set the search path to the desired schema (optional, but good practice)
-- If you have a specific schema like 'ecommerce', use:
-- SET search_path TO ecommerce, public;
-- =====================================================================
-- Table Creation
-- Order of table creation is important due to foreign key dependencies.
-- Tables without FKs or with only self-referencing FKs are created first.
-- =====================================================================
-- ---------------------------------------------------------------------
-- Table: Users
-- Description: Stores user account information.
-- ---------------------------------------------------------------------
CREATE TABLE Users (
user_id UUID PRIMARY KEY DEFAULT gen_random_uuid(), -- Primary Key: Unique identifier for each user. Using UUID for distributed ID capabilities.
username VARCHAR(50) UNIQUE NOT NULL, -- Unique username for login.
email VARCHAR(255) UNIQUE NOT NULL, -- Unique email address, used for communication and login.
password_hash VARCHAR(255) NOT NULL, -- Hashed password for security.
first_name VARCHAR(100), -- User's first name.
last_name VARCHAR(100), -- User's last name.
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP, -- Timestamp when the user account was created.
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP, -- Timestamp of the last update to the user account.
is_active BOOLEAN DEFAULT TRUE -- Flag to indicate if the user account is active.
);
-- Add an index on email for faster lookups during login/password reset.
CREATE INDEX idx_users_email ON Users (email);
-- Add an index on username for faster lookups during login.
CREATE INDEX idx_users_username ON Users (username);
COMMENT ON TABLE Users IS 'Stores information about registered users.';
COMMENT ON COLUMN Users.user_id IS 'Unique identifier for the user (UUID).';
COMMENT ON COLUMN Users.username IS 'Unique username for login.';
COMMENT ON COLUMN Users.email IS 'Unique email address of the user.';
COMMENT ON COLUMN Users.password_hash IS 'Hashed password for security.';
COMMENT ON COLUMN Users.first_name IS 'First name of the user.';
COMMENT ON COLUMN Users.last_name IS 'Last name of the user.';
COMMENT ON COLUMN Users.created_at IS 'Timestamp when the user account was created.';
COMMENT ON COLUMN Users.updated_at IS 'Timestamp of the last update to the user account.';
COMMENT ON COLUMN Users.is_active IS 'Boolean flag indicating if the user account is active.';
-- ---------------------------------------------------------------------
-- Table: Categories
-- Description: Defines product categories.
-- ---------------------------------------------------------------------
CREATE TABLE Categories (
category_id SERIAL PRIMARY KEY, -- Primary Key: Auto-incrementing integer for category ID.
category_name VARCHAR(100) UNIQUE NOT NULL, -- Unique name for the category (e.g., 'Electronics', 'Books').
description TEXT -- Optional detailed description of the category.
);
-- Add an index on category_name for faster lookups.
CREATE INDEX idx_categories_name ON Categories (category_name);
COMMENT ON TABLE Categories IS 'Stores product categories.';
COMMENT ON COLUMN Categories.category_id IS 'Unique identifier for the category (auto-incrementing integer).';
COMMENT ON COLUMN Categories.category_name IS 'Unique name of the category.';
COMMENT ON COLUMN Categories.description IS 'Detailed description of the category.';
-- ---------------------------------------------------------------------
-- Table: Products
-- Description: Stores information about individual products.
-- ---------------------------------------------------------------------
CREATE TABLE Products (
product_id UUID PRIMARY KEY DEFAULT gen_random_uuid(), -- Primary Key: Unique identifier for each product.
product_name VARCHAR(255) NOT NULL, -- Name of the product.
description TEXT NOT NULL, -- Detailed description of the product.
price NUMERIC(10, 2) NOT NULL CHECK (price >= 0), -- Price of the product (e.g., 99.99). Must be non-negative.
stock_quantity INTEGER NOT NULL CHECK (stock_quantity >= 0), -- Current stock level. Must be non-negative.
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP, -- Timestamp when the product was added.
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP -- Timestamp of the last update to the product.
);
-- Add an index on product_name for search functionality.
CREATE INDEX idx_products_name ON Products (product_name);
COMMENT ON TABLE Products IS 'Stores information about individual products.';
COMMENT ON COLUMN Products.product_id IS 'Unique identifier for the product (UUID).';
COMMENT ON COLUMN Products.product_name IS 'Name of the product.';
COMMENT ON COLUMN Products.description IS 'Detailed description of the product.';
COMMENT ON COLUMN Products.price IS 'Selling price of the product.';
COMMENT ON COLUMN Products.stock_quantity IS 'Current stock quantity of the product.';
COMMENT ON COLUMN Products.created_at IS 'Timestamp when the product was created.';
COMMENT ON COLUMN Products.updated_at IS 'Timestamp of the last update to the product.';
-- ---------------------------------------------------------------------
-- Table: Product_Categories
-- Description: Junction table to link products to categories (many-to-many relationship).
-- ---------------------------------------------------------------------
CREATE TABLE Product_Categories (
product_id UUID NOT NULL REFERENCES Products(product_id) ON DELETE CASCADE, -- Foreign Key to Products. If a product is deleted, its category links are removed.
category_id INTEGER NOT NULL REFERENCES Categories(category_id) ON DELETE CASCADE, -- Foreign Key to Categories. If a category is deleted, its product links are removed.
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (product_id, category_id) -- Composite Primary Key to ensure unique product-category pairing.
);
-- Add indexes on foreign keys for performance, even though they are part of a composite PK.
-- These are implicitly created by PostgreSQL for PK, but explicit index is good for single column FK lookups.
CREATE INDEX idx_product_categories_product_id ON Product_Categories (product_id);
CREATE INDEX idx_product_categories_category_id ON Product_Categories (category_id);
COMMENT ON TABLE Product_Categories IS 'Junction table for many-to-many relationship between Products and Categories.';
COMMENT ON COLUMN Product_Categories.product_id IS 'Foreign key to the Products table.';
COMMENT ON COLUMN Product_Categories.category_id IS 'Foreign key to the Categories table.';
COMMENT ON COLUMN Product_Categories.created_at IS 'Timestamp when the product-category link was created.';
-- ---------------------------------------------------------------------
-- Table: Orders
-- Description: Stores information about customer orders.
-- ---------------------------------------------------------------------
CREATE TABLE Orders (
order_id UUID PRIMARY KEY DEFAULT gen_random_uuid(), -- Primary Key: Unique identifier for each order.
user_id UUID NOT NULL REFERENCES Users(user_id) ON DELETE RESTRICT, -- Foreign Key to Users. Prevent deleting a user if they have orders.
order_date TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP, -- Date and time when the order was placed.
total_amount NUMERIC(10, 2) NOT NULL CHECK (total_amount >= 0), -- Total amount of the order.
status VARCHAR(50) NOT NULL CHECK (status IN ('pending', 'processing', 'shipped', 'delivered', 'cancelled')), -- Current status of the order.
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP -- Timestamp of the last update to the order status.
);
-- Add an index on user_id for quickly retrieving all orders for a specific user.
CREATE INDEX idx_orders_user_id ON Orders (user_id);
-- Add an index on order_date for time-based queries.
CREATE INDEX idx_orders_order_date ON Orders (order_date);
COMMENT ON TABLE Orders IS 'Stores information about customer orders.';
COMMENT ON COLUMN Orders.order_id IS 'Unique identifier for the order (UUID).';
COMMENT ON COLUMN Orders.user_id IS 'Foreign key to the Users table, indicating who placed the order.';
COMMENT ON COLUMN Orders.order_date IS 'Timestamp when the order was placed.';
COMMENT ON COLUMN Orders.total_amount IS 'Total monetary amount of the order.';
COMMENT ON COLUMN Orders.status IS 'Current status of the order (e.g., pending, shipped).';
COMMENT ON COLUMN Orders.updated_at IS 'Timestamp of the last update to the order.';
-- ---------------------------------------------------------------------
-- Table: Order_Items
-- Description: Stores individual items within an order.
-- ---------------------------------------------------------------------
CREATE TABLE Order_Items (
order_item_id UUID PRIMARY KEY DEFAULT gen_random_uuid(), -- Primary Key: Unique identifier for each order item.
order_id UUID NOT NULL REFERENCES Orders(order_id) ON DELETE CASCADE, -- Foreign Key to Orders. If an order is deleted, its items are also deleted.
product_id UUID NOT NULL REFERENCES Products(product_id) ON DELETE RESTRICT, -- Foreign Key to Products. Prevent deleting a product if it's part of an existing order item.
quantity INTEGER NOT NULL CHECK (quantity > 0), -- Quantity of the product in this order item. Must be positive.
price_at_order NUMERIC(10
This document outlines the database schema design and provides the generated SQL Data Definition Language (DDL) code for your application. This output is a direct deliverable from the generate_code step of the "Database Schema Designer" workflow, turning the conceptual schema into actionable, production-ready code.
This step translates the collaborative database schema design into concrete SQL DDL statements. The goal is to provide a comprehensive, well-structured, and executable script that can be used to set up the database schema in a PostgreSQL environment. This includes table creations, column definitions, data types, primary keys, foreign keys, unique constraints, check constraints, default values, and performance-enhancing indexes.
We have selected PostgreSQL as the target database system for the following reasons:
The generated SQL DDL is specifically tailored for PostgreSQL syntax and best practices.
The designed schema represents a foundational structure for a typical e-commerce platform. It includes core entities and their relationships, allowing for user management, product catalog, order processing, and customer reviews.
users: Stores information about registered users, including authentication details.categories: Organizes products into hierarchical categories.products: Contains details about items available for sale.orders: Records customer orders.order_items: Links products to specific orders, detailing quantities and prices at the time of purchase.reviews: Allows users to provide feedback and ratings for products.shopping_carts: Manages items users have placed in their shopping carts.shipping_addresses: Stores multiple shipping addresses for each user.user can have multiple shipping_addresses, orders, reviews, and shopping_cart entries.category can have many products and can also be a parent_category to other categories.product belongs to one category and can be part of many order_items, shopping_cart entries, and reviews.order is placed by one user and contains multiple order_items. It also references a shipping_address.order_item links one order to one product.review is written by one user for one product.shopping_cart entry links one user to one product with a specific quantity.The following SQL script will create the complete database schema. It is designed to be executed sequentially.
-- SQL DDL for E-commerce Database Schema (PostgreSQL)
-- Generated by PantheraHive - Database Schema Designer Workflow
-- Set timezone for timestamps
SET TIME ZONE 'UTC';
-- Function to update 'updated_at' timestamp automatically
CREATE OR REPLACE FUNCTION update_timestamp()
RETURNS TRIGGER AS $$
BEGIN
NEW.updated_at = NOW();
RETURN NEW;
END;
$$ LANGUAGE plpgsql;
-- -----------------------------------------------------
-- Table `users`
-- Stores information about registered users
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS users (
user_id SERIAL PRIMARY KEY,
username VARCHAR(50) UNIQUE NOT NULL,
email VARCHAR(100) UNIQUE NOT NULL CHECK (email ~* '^[A-Za-z0-9._%-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,4}$'),
password_hash TEXT NOT NULL,
first_name VARCHAR(100),
last_name VARCHAR(100),
is_admin BOOLEAN DEFAULT FALSE NOT NULL,
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() NOT NULL,
updated_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() NOT NULL
);
-- Index for frequently accessed columns
CREATE INDEX idx_users_email ON users (email);
CREATE INDEX idx_users_username ON users (username);
-- Trigger to update 'updated_at' on user modifications
CREATE TRIGGER set_users_updated_at
BEFORE UPDATE ON users
FOR EACH ROW
EXECUTE FUNCTION update_timestamp();
COMMENT ON TABLE users IS 'Stores information about registered users.';
COMMENT ON COLUMN users.user_id IS 'Unique identifier for the user.';
COMMENT ON COLUMN users.username IS 'Unique username for login.';
COMMENT ON COLUMN users.email IS 'Unique email address of the user, used for communication and login.';
COMMENT ON COLUMN users.password_hash IS 'Hashed password for user authentication.';
COMMENT ON COLUMN users.first_name IS 'User''s first name.';
COMMENT ON COLUMN users.last_name IS 'User''s last name.';
COMMENT ON COLUMN users.is_admin IS 'Flag indicating if the user has administrative privileges.';
COMMENT ON COLUMN users.created_at IS 'Timestamp when the user account was created.';
COMMENT ON COLUMN users.updated_at IS 'Timestamp when the user account was last updated.';
-- -----------------------------------------------------
-- Table `categories`
-- Organizes products into hierarchical categories
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS categories (
category_id SERIAL PRIMARY KEY,
name VARCHAR(100) UNIQUE NOT NULL,
description TEXT,
parent_category_id INTEGER REFERENCES categories(category_id) ON DELETE SET NULL,
We are thrilled to present the culmination of our collaborative efforts: your meticulously designed database schema. This document outlines the proposed structure, detailing tables, relationships, and key design decisions, all engineered to provide a robust, scalable, and efficient foundation for your application.
Our goal throughout this process has been to translate your business requirements into a highly optimized database architecture. We believe this schema will empower your future development, ensuring data integrity, high performance, and seamless growth.
This proposed database schema has been crafted with a strong emphasis on scalability, performance, data integrity, and maintainability. Key features include:
We are confident that this schema will serve as a powerful backbone for your application, supporting current needs and future innovations.
Our design process was driven by a commitment to excellence and a deep understanding of your operational needs.
The following principles guided the development of your database schema:
This schema is a direct result of our detailed discussions, requirements gathering, and iterative feedback cycles. Your insights were invaluable in shaping a design that truly aligns with your vision and operational demands. We have incorporated specific feedback to ensure the schema is not just technically sound but also practically effective for your team.
The core of your application's data will be organized around several key entities, each with specific attributes and relationships to others.
At a high level, the schema revolves around central entities like Users, Products, Orders, and Categories, interconnected to represent a comprehensive business flow. For instance, Users place Orders, which contain OrderItems linked to Products. Products are organized into Categories. This structure provides a clear and logical flow for managing your application's data.
The primary tables and their core relationships are summarized below:
Users: Stores all user account information.Products: Contains details about all items available for sale.Categories: Organizes products into logical groups.Orders: Records each transaction made by users.OrderItems: Details the specific products and quantities within each order.Addresses: Stores shipping and billing addresses, linked to users and orders.Reviews: Allows users to provide feedback on products.These tables are linked via foreign keys, establishing referential integrity. For example, Orders are linked to Users via user_id, ensuring every order is associated with a valid user.
To provide a concrete understanding, we've detailed a few illustrative tables below. Please note that this section provides examples and a full DDL (Data Definition Language) script for the complete schema will be provided upon approval.
Users * user_id (UUID/BIGINT, PRIMARY KEY): Unique identifier for each user.
* username (VARCHAR(50), UNIQUE, NOT NULL): Unique login name.
* email (VARCHAR(255), UNIQUE, NOT NULL): User's email address, used for communication and login.
* password_hash (VARCHAR(255), NOT NULL): Hashed password for security.
* first_name (VARCHAR(100)): User's first name.
* last_name (VARCHAR(100)): User's last name.
* phone_number (VARCHAR(20)): User's contact phone number.
* created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP): Timestamp of user creation.
* updated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP): Last update timestamp.
* is_active (BOOLEAN, DEFAULT TRUE): Flag indicating if the user account is active.
* PRIMARY KEY (user_id)
* UNIQUE (username)
* UNIQUE (email)
* One-to-many with Orders (user can place multiple orders).
* One-to-many with Addresses (user can have multiple addresses).
* One-to-many with Reviews (user can write multiple reviews).
Products * product_id (UUID/BIGINT, PRIMARY KEY): Unique identifier for each product.
* name (VARCHAR(255), NOT NULL): Name of the product.
* description (TEXT): Detailed description of the product.
* price (DECIMAL(10, 2), NOT NULL, CHECK (price >= 0)): Current price of the product.
* stock_quantity (INTEGER, NOT NULL, DEFAULT 0, CHECK (stock_quantity >= 0)): Available quantity in stock.
* category_id (UUID/BIGINT, FOREIGN KEY REFERENCES Categories): Category the product belongs to.
* image_url (VARCHAR(255)): URL to the product image.
* created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP): Timestamp of product creation.
* updated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP): Last update timestamp.
* is_available (BOOLEAN, DEFAULT TRUE): Flag indicating product availability.
* PRIMARY KEY (product_id)
* INDEX (category_id)
* INDEX (name) (for search functionality)
* Many-to-one with Categories (products belong to one category).
* One-to-many with OrderItems (product can be in multiple order items).
* One-to-many with Reviews (product can have multiple reviews).
Orders * order_id (UUID/BIGINT, PRIMARY KEY): Unique identifier for each order.
* user_id (UUID/BIGINT, FOREIGN KEY REFERENCES Users, NOT NULL): The user who placed the order.
* order_date (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP, NOT NULL): Date and time the order was placed.
* total_amount (DECIMAL(10, 2), NOT NULL, CHECK (total_amount >= 0)): Total amount of the order.
* status (VARCHAR(50), NOT NULL, DEFAULT 'pending', CHECK (status IN ('pending', 'processing', 'shipped', 'delivered', 'cancelled'))): Current status of the order.
* shipping_address_id (UUID/BIGINT, FOREIGN KEY REFERENCES Addresses, NOT NULL): The address for shipping.
* billing_address_id (UUID/BIGINT, FOREIGN KEY REFERENCES Addresses): The address for billing (can be same as shipping).
* payment_method (VARCHAR(50)): Method used for payment.
* created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP): Timestamp of order creation.
* updated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP): Last update timestamp.
* PRIMARY KEY (order_id)
* INDEX (user_id)
* INDEX (order_date)
* INDEX (status)
* Many-to-one with Users (each order belongs to one user).
* Many-to-one with Addresses (for shipping and billing).
* One-to-many with OrderItems (each order can have multiple items).
OrderItems * order_item_id (UUID/BIGINT, PRIMARY KEY): Unique identifier for each order item.
* order_id (UUID/BIGINT, FOREIGN KEY REFERENCES Orders, NOT NULL): The order this item belongs to.
* product_id (UUID/BIGINT, FOREIGN KEY REFERENCES Products, NOT NULL): The product included in this item.
* quantity (INTEGER, NOT NULL, CHECK (quantity > 0)): Quantity of the product ordered.
* unit_price (DECIMAL(10, 2), NOT NULL, CHECK (unit_price >= 0)): Price of the product at the time of order.
* PRIMARY KEY (order_item_id)
* UNIQUE (order_id, product_id) (Ensures a product only appears once per order item, though quantity handles multiples)
* INDEX (order_id)
* INDEX (product_id)
* Many-to-one with Orders (each item belongs to one order).
* Many-to-one with Products (each item refers to one product).
Several critical decisions were made during the design process to optimize the schema for your specific needs.
The schema primarily adheres to Third Normal Form (3NF). This minimizes data redundancy, prevents update anomalies, and ensures data integrity. For instance, Addresses are stored in a separate table and referenced by Users and Orders to avoid repeating address information. In specific cases, limited denormalization might be considered in future iterations for highly read-intensive reporting tables, but the core transactional schema remains normalized for data consistency.
DECIMAL(10, 2) for Currency: Ensures precise financial calculations, avoiding floating-point inaccuracies when dealing with money.TEXT for Long Descriptions: Provides flexibility for product descriptions or user comments that may exceed typical VARCHAR limits without imposing arbitrary length restrictions.TIMESTAMP WITH TIME ZONE: Stores timestamps with timezone information, crucial for applications operating across different geographical regions or needing accurate historical data.