Concepteur de Schéma de Base de Données

Entrée

Exigences en matière de données

E-commerce platform: users register and place multiple orders. Each order has line items linked to products. Products belong to one or more categories and support variants (size, color) with independent SKUs and stock. Users leave verified reviews with a 1-5 star rating and optional photos. Track inventory levels per variant and order status history.

Moteur de base de données

PostgreSQL

Style de schéma

Normalisé (3NF)

Format de sortie

SQL DDL (CRÉER TABLE)

Complexité de la relation

Beaucoup à beaucoup (Tables de jonction)

Sortie (extrait)

CREATE TABLE users (id BIGSERIAL PRIMARY KEY, email CITEXT UNIQUE NOT NULL, created_at TIMESTAMPTZ DEFAULT now());
CREATE TABLE products (id BIGSERIAL PRIMARY KEY, name TEXT NOT NULL, base_price NUMERIC(10,2));
CREATE TABLE product_variants (id BIGSERIAL PRIMARY KEY, product_id BIGINT REFERENCES products(id), sku TEXT UNIQUE, size TEXT, color TEXT, stock INT DEFAULT 0);
CREATE TABLE product_categories (product_id BIGINT, category_id BIGINT, PRIMARY KEY (product_id, category_id)); -- table de jonction pour le plusieurs-à-plusieurs.

Entrée

Exigences en matière de données

Marketing analytics warehouse for email campaigns. We need to report opens, clicks, unsubscribes, and conversions by campaign, subscriber segment, send date, and device. Fact table records each engagement event; dimensions cover campaign, subscriber, date, and channel for fast aggregation in BI dashboards.

Moteur de base de données

PostgreSQL

Style de schéma

Schéma en Étoile (Analytique / DWH)

Format de sortie

Diagramme de texte (ASCII ERD)

Complexité de la relation

Simple (1:1, 1:N)

Sortie (extrait)

fact_engagement (event_id, date_key FK, campaign_key FK, subscriber_key FK, channel_key FK, event_type, revenue)
  |-- dim_date (date_key, full_date, week, month, quarter, year)
  |-- dim_campaign (campaign_key, name, subject_line, send_type)
  |-- dim_subscriber (subscriber_key, segment, signup_source, country)
  |-- dim_channel (channel_key, device, client, os)
Granularité : une ligne par événement d'engagement d'un abonné. Optimisé pour les agrégations GROUP BY selon n'importe quelle dimension.

Entrée

Exigences en matière de données

Lightweight invoicing app for a solo freelancer. Track clients, projects per client, time entries logged against projects, and invoices that bundle billable time entries. Each invoice has a status (draft, sent, paid, overdue) and line items. Need simple one-to-many relationships and local storage on a laptop.

Moteur de base de données

SQLite

Style de schéma

Normalisé (3NF)

Format de sortie

Script de Migration (Versionné)

Complexité de la relation

Simple (1:1, 1:N)

Sortie (extrait)

-- 0001_init.sql
CREATE TABLE clients (id INTEGER PRIMARY KEY, name TEXT NOT NULL, email TEXT);
CREATE TABLE projects (id INTEGER PRIMARY KEY, client_id INTEGER REFERENCES clients(id), name TEXT, hourly_rate REAL);
CREATE TABLE time_entries (id INTEGER PRIMARY KEY, project_id INTEGER REFERENCES projects(id), minutes INTEGER, logged_on DATE, billed INTEGER DEFAULT 0);
CREATE TABLE invoices (id INTEGER PRIMARY KEY, client_id INTEGER REFERENCES clients(id), status TEXT DEFAULT 'draft', total REAL, issued_on DATE);