| name | er-modeling |
| description | Create entity-relationship diagrams with proper normalization, keys, and cardinality for logical data models. |
| allowed-tools | Read, Write, Glob, Grep, Task |
Entity-Relationship Modeling
When to Use This Skill
Use this skill when:
- Er Modeling tasks - Working on create entity-relationship diagrams with proper normalization, keys, and cardinality for logical data models
- Planning or design - Need guidance on Er Modeling approaches
- Best practices - Want to follow established patterns and standards
Overview
Entity-Relationship (ER) modeling creates logical data models that define entities, attributes, relationships, and constraints independent of specific database implementation.
ER Diagram Notations
Crow's Foot Notation (Recommended)
Symbols:
──┤├── One (mandatory)
──○── Zero (optional)
──< Many
──> Many (reverse)
Examples:
CUSTOMER ──┤├──○< ORDER (One customer, zero or more orders)
ORDER ──┤├──┤< ITEM (One order, one or more items)
PRODUCT >○──┤├── CATEGORY (Many products, one category)
Chen Notation
┌──────────┐ ┌──────────┐
│ CUSTOMER │────<places>────│ ORDER │
└──────────┘ 1:N └──────────┘
Normalization
First Normal Form (1NF)
Rule: Eliminate repeating groups; each column contains atomic values.
BEFORE (violates 1NF):
┌────────────────────────────────────────┐
│ Order │
├────────────────────────────────────────┤
│ order_id │ products (comma-separated) │
│ 1 │ "Laptop, Mouse, Keyboard" │
└────────────────────────────────────────┘
AFTER (1NF):
┌─────────────────────────┐ ┌──────────────────────────┐
│ Order │ │ OrderItem │
├─────────────────────────┤ ├──────────────────────────┤
│ order_id PK │───│ order_id FK │
│ order_date │ │ product_id FK │
│ customer_id FK │ │ quantity │
└─────────────────────────┘ └──────────────────────────┘
Second Normal Form (2NF)
Rule: Be in 1NF + no partial dependencies (all non-key columns depend on the entire primary key).
BEFORE (violates 2NF):
┌───────────────────────────────────────────────────────┐
│ OrderItem │
├───────────────────────────────────────────────────────┤
│ order_id PK │ product_id PK │ product_name │ quantity │
│ (product_name depends only on product_id, not full key)│
└───────────────────────────────────────────────────────┘
AFTER (2NF):
┌─────────────────────────────┐ ┌──────────────────────┐
│ OrderItem │ │ Product │
├─────────────────────────────┤ ├──────────────────────┤
│ order_id PK FK │ │ product_id PK │
│ product_id PK FK ───────────┼───│ product_name │
│ quantity │ │ price │
└─────────────────────────────┘ └──────────────────────┘
Third Normal Form (3NF)
Rule: Be in 2NF + no transitive dependencies (non-key columns don't depend on other non-key columns).
BEFORE (violates 3NF):
┌────────────────────────────────────────────────────────┐
│ Order │
├────────────────────────────────────────────────────────┤
│ order_id PK │ customer_id │ customer_name │ order_date │
│ (customer_name depends on customer_id, not order_id) │
└────────────────────────────────────────────────────────┘
AFTER (3NF):
┌────────────────────────────┐ ┌─────────────────────────┐
│ Order │ │ Customer │
├────────────────────────────┤ ├─────────────────────────┤
│ order_id PK │ │ customer_id PK │
│ customer_id FK ────────────┼───│ customer_name │
│ order_date │ │ email │
└────────────────────────────┘ └─────────────────────────┘
Boyce-Codd Normal Form (BCNF)
Rule: Be in 3NF + every determinant is a candidate key.
BEFORE (violates BCNF):
┌───────────────────────────────────────────────────────────┐
│ CourseInstructor │
├───────────────────────────────────────────────────────────┤
│ student_id PK │ course PK │ instructor │
│ (instructor → course, but instructor is not a candidate key) │
└───────────────────────────────────────────────────────────┘
AFTER (BCNF):
┌──────────────────────────┐ ┌────────────────────────────┐
│ Enrollment │ │ CourseAssignment │
├──────────────────────────┤ ├────────────────────────────┤
│ student_id PK FK │ │ instructor PK │
│ instructor_id PK FK ─────┼───│ course │
└──────────────────────────┘ └────────────────────────────┘
ER Diagram Template
# Logical Data Model: [System Name]
## 1. Entity Definitions
### Entity: Customer
| Attribute | Type | Constraints |
|-----------|------|-------------|
| customer_id | UUID | PK |
| email | VARCHAR(255) | UK, NOT NULL |
| name | VARCHAR(100) | NOT NULL |
| created_at | TIMESTAMP | NOT NULL, DEFAULT NOW |
| status | ENUM | NOT NULL, DEFAULT 'active' |
**Business Rules:**
- Email must be unique across all customers
- Status can be: active, suspended, closed
### Entity: Order
| Attribute | Type | Constraints |
|-----------|------|-------------|
| order_id | UUID | PK |
| customer_id | UUID | FK → Customer, NOT NULL |
| order_date | DATE | NOT NULL |
| status | ENUM | NOT NULL |
| total_amount | DECIMAL(10,2) | NOT NULL |
**Business Rules:**
- Order must have at least one OrderItem
- Total is calculated from items
## 2. Relationship Definitions
| Relationship | From | To | Cardinality | Participation |
|--------------|------|-----|-------------|---------------|
| places | Customer | Order | 1:N | Optional |
| contains | Order | OrderItem | 1:N | Mandatory |
| references | OrderItem | Product | N:1 | Mandatory |
## 3. Entity-Relationship Diagram
```mermaid
erDiagram
CUSTOMER ||--o{ ORDER : places
ORDER ||--|{ ORDER_ITEM : contains
PRODUCT ||--o{ ORDER_ITEM : "appears in"
CATEGORY ||--|{ PRODUCT : categorizes
CUSTOMER {
uuid customer_id PK
varchar email UK
varchar name
timestamp created_at
enum status
}
ORDER {
uuid order_id PK
uuid customer_id FK
date order_date
enum status
decimal total_amount
}
ORDER_ITEM {
uuid item_id PK
uuid order_id FK
uuid product_id FK
int quantity
decimal unit_price
}
PRODUCT {
uuid product_id PK
uuid category_id FK
varchar sku UK
varchar name
decimal price
}
CATEGORY {
uuid category_id PK
varchar name UK
uuid parent_id FK
}
4. Keys Summary
| Entity | Primary Key | Unique Keys | Foreign Keys |
|---|---|---|---|
| Customer | customer_id | - | |
| Order | order_id | - | customer_id |
| OrderItem | item_id | - | order_id, product_id |
| Product | product_id | sku | category_id |
| Category | category_id | name | parent_id (self) |
Key Types
| Key Type | Purpose | Example |
|---|---|---|
| Primary Key (PK) | Unique row identifier | order_id |
| Unique Key (UK) | Alternative unique identifier | email, sku |
| Foreign Key (FK) | Reference to another table | customer_id |
| Composite Key | Multi-column primary key | (order_id, product_id) |
| Natural Key | Business-meaningful identifier | social_security_number |
| Surrogate Key | System-generated identifier | auto-increment, UUID |
Cardinality Notation Reference
Crow's Foot:
┤├ One (and only one)
○ Zero (optional)
< Many
Combinations:
──┤├──┤├── One-to-One (mandatory both)
──┤├──○── One-to-One (optional one side)
──┤├──○<── One-to-Many (mandatory one, optional many)
──┤├──┤<── One-to-Many (mandatory both)
──>○──○<── Many-to-Many (optional both)
.NET EF Core Mapping
// Entity Configuration
public class CustomerConfiguration : IEntityTypeConfiguration<Customer>
{
public void Configure(EntityTypeBuilder<Customer> builder)
{
builder.ToTable("Customers");
// Primary Key
builder.HasKey(c => c.Id);
// Properties
builder.Property(c => c.Email)
.IsRequired()
.HasMaxLength(255);
builder.HasIndex(c => c.Email)
.IsUnique();
// Relationships
builder.HasMany(c => c.Orders)
.WithOne(o => o.Customer)
.HasForeignKey(o => o.CustomerId)
.OnDelete(DeleteBehavior.Restrict);
}
}
public class OrderConfiguration : IEntityTypeConfiguration<Order>
{
public void Configure(EntityTypeBuilder<Order> builder)
{
builder.ToTable("Orders");
builder.HasKey(o => o.Id);
// Owned entity (value object)
builder.OwnsOne(o => o.ShippingAddress, sa =>
{
sa.Property(a => a.Street).HasColumnName("ShippingStreet");
sa.Property(a => a.City).HasColumnName("ShippingCity");
});
// One-to-Many
builder.HasMany(o => o.Items)
.WithOne()
.HasForeignKey(i => i.OrderId)
.OnDelete(DeleteBehavior.Cascade);
}
}
Common Modeling Decisions
When to Denormalize
| Scenario | Action |
|---|---|
| Reporting performance | Create read-optimized views |
| Frequent joins hurt performance | Consider caching or denormalization |
| Audit history | Keep normalized, add temporal tables |
| High write frequency | Stay normalized |
Handling Many-to-Many
Option 1: Junction Table (Recommended)
PRODUCT >──○ PRODUCT_CATEGORY ○──< CATEGORY
Option 2: Array/JSON (for simple cases, NoSQL)
Product { categories: ["electronics", "accessories"] }
Validation Checklist
- All entities in at least 3NF
- Primary keys defined for all entities
- Foreign keys properly reference parent tables
- Cardinality documented for all relationships
- NULL/NOT NULL constraints specified
- Unique constraints identified
- Data types appropriate for each attribute
- Naming conventions consistent
Integration Points
Inputs from:
conceptual-modelingskill → Entity candidates- Requirements → Business rules
Outputs to:
schema-designskill → Physical implementation- EF Core migrations → Database creation
- Documentation → API design