Nested Struct-Array Field Names
CBValidation provides powerful shortcuts for validating nested data structures without requiring complex constraint definitions. Using dot notation for structs and asterisk (*) notation for arrays, you can validate deeply nested objects with clean, readable constraint definitions.
Why Use Field Name Shortcuts?
Traditional nested validation would require defining complex constraint structures that mirror your data. Field name shortcuts allow you to:
Simplify constraint definitions - Use flat, dot-notation paths instead of nested structures
Improve readability - Clear field paths like
user.profile.emailare self-documentingReduce complexity - Avoid deeply nested constraint objects
Handle dynamic structures - Validate arrays of unknown length with
*notation
Nested Struct Shorthand
For a nested struct, this is done by defining the field as a dot-delimited field name following the nested structure.
var validationResult = validate(
target = {
"address": {
"streetOne" : "123 Elm Street",
"streetTwo" : "",
"city" : "Anytown",
"state" : "IL",
"zip" : "60606"
}
},
constraints = {
"address": { "required": true, "type": "struct" },
"address.streetOne": { "required": true, "type": "string" },
"address.streetTwo": { "required": false, "type": "string" },
"address.city": { "required": true, "type": "string" },
"address.state": { "required": true, "type": "string", "size": 2 },
"address.zip": { "required": true, "type": "numeric", "size": 5 }
}
);This can be continued as many levels deep as necessary.
var validationResult = validate(
target = {
"owner": {
"firstName": "John",
"lastName": "Doe",
"address": {
"streetOne" : "123 Elm Street",
"streetTwo" : "",
"city" : "Anytown",
"state" : "IL",
"zip" : "60606"
}
}
},
constraints = {
"owner.firstName": { "required": true, "type": "string" },
"owner.lastName": { "required": true, "type": "string" },
"owner.address.streetOne": { "required": true, "type": "string" },
"owner.address.streetTwo": { "required": false, "type": "string" },
"owner.address.city": { "required": true, "type": "string" },
"owner.address.state": { "required": true, "type": "string", "size": 2 },
"owner.address.zip": { "required": true, "type": "numeric", "size": 5 }
}
);Array Validation Shortcuts
Simple Array Validation
Use the asterisk (*) notation to validate all items in an array:
// Validate array of numbers
var validationResult = validate(
target = {
"luckyNumbers": [ 7, 11, 21, 42 ],
"favoriteColors": [ "red", "blue", "green" ],
"scores": [ 85, 92, 78, 96 ]
},
constraints = {
"luckyNumbers.*": { "type": "numeric", "range": "1..100" },
"favoriteColors.*": { "type": "string", "size": "3..20" },
"scores.*": { "type": "numeric", "range": "0..100" }
}
);Array of Structs
Validate objects within arrays by combining dot notation with asterisk:
var validationResult = validate(
target = {
"employees": [
{ "name": "John Doe", "email": "[email protected]", "age": 30 },
{ "name": "Jane Smith", "email": "[email protected]", "age": 25 }
]
},
constraints = {
"employees.*.name": { "required": true, "type": "string", "size": "2..50" },
"employees.*.email": { "required": true, "type": "email" },
"employees.*.age": { "required": true, "type": "numeric", "range": "18..65" }
}
);Complex Nested Arrays
Handle deeply nested structures with multiple array levels:
var validationResult = validate(
target = {
"departments": [
{
"name": "Engineering",
"teams": [
{
"name": "Backend",
"members": ["John", "Jane", "Bob"]
},
{
"name": "Frontend",
"members": ["Alice", "Charlie"]
}
]
}
]
},
constraints = {
"departments.*.name": { "required": true, "type": "string" },
"departments.*.teams.*.name": { "required": true, "type": "string" },
"departments.*.teams.*.members.*": { "type": "string", "size": "2..30" }
}
);Combined Struct and Array Examples
User Profile with Multiple Addresses
var validationResult = validate(
target = {
"user": {
"profile": {
"firstName": "John",
"lastName": "Doe",
"email": "[email protected]"
},
"addresses": [
{
"type": "home",
"streetOne": "123 Elm Street",
"city": "Anytown",
"state": "IL",
"zip": "60606"
},
{
"type": "work",
"streetOne": "456 Oak Avenue",
"city": "Business City",
"state": "CA",
"zip": "90210"
}
],
"phoneNumbers": [
{ "type": "mobile", "number": "555-123-4567" },
{ "type": "home", "number": "555-987-6543" }
]
}
},
constraints = {
// Profile validation
"user.profile.firstName": { "required": true, "type": "string", "size": "2..50" },
"user.profile.lastName": { "required": true, "type": "string", "size": "2..50" },
"user.profile.email": { "required": true, "type": "email" },
// Address validation
"user.addresses.*.type": { "required": true, "inList": "home,work,other" },
"user.addresses.*.streetOne": { "required": true, "type": "string", "size": "5..100" },
"user.addresses.*.city": { "required": true, "type": "string", "size": "2..50" },
"user.addresses.*.state": { "required": true, "type": "string", "size": "2" },
"user.addresses.*.zip": { "required": true, "regex": "^\d{5}(-\d{4})?$" },
// Phone number validation
"user.phoneNumbers.*.type": { "required": true, "inList": "mobile,home,work" },
"user.phoneNumbers.*.number": { "required": true, "regex": "^\d{3}-\d{3}-\d{4}$" }
}
);E-commerce Order Structure
var validationResult = validate(
target = {
"order": {
"customer": {
"name": "John Doe",
"email": "[email protected]"
},
"items": [
{
"productId": "PROD123",
"name": "Widget",
"quantity": 2,
"price": 19.99
},
{
"productId": "PROD456",
"name": "Gadget",
"quantity": 1,
"price": 49.99
}
],
"shipping": {
"method": "standard",
"address": {
"street": "123 Main St",
"city": "Anytown",
"zip": "12345"
}
}
}
},
constraints = {
// Customer validation
"order.customer.name": { "required": true, "type": "string", "size": "2..100" },
"order.customer.email": { "required": true, "type": "email" },
// Order items validation
"order.items.*.productId": { "required": true, "type": "string", "regex": "^PROD\d+$" },
"order.items.*.name": { "required": true, "type": "string", "size": "1..200" },
"order.items.*.quantity": { "required": true, "type": "numeric", "min": "1" },
"order.items.*.price": { "required": true, "type": "numeric", "min": "0.01" },
// Shipping validation
"order.shipping.method": { "required": true, "inList": "standard,express,overnight" },
"order.shipping.address.street": { "required": true, "type": "string" },
"order.shipping.address.city": { "required": true, "type": "string" },
"order.shipping.address.zip": { "required": true, "regex": "^\d{5}$" }
}
);Error Message Context
When validation fails on nested fields, the error messages include the full field path for precise error identification:
var result = validate(target=orderData, constraints=orderConstraints);
if (result.hasErrors()) {
for (var error in result.getAllErrors()) {
// Examples of nested error fields:
// "user.profile.email" - Invalid email format
// "user.addresses.0.zip" - Invalid zip code (first address)
// "order.items.1.price" - Price must be positive (second item)
writeOutput("Field: #error.getField()# - #error.getMessage()#<br>");
}
}Best Practices
1. Use Descriptive Field Names
// ❌ Hard to understand
"data.items.*.val": { "required": true }
// ✅ Clear and descriptive
"products.items.*.price": { "required": true, "type": "numeric", "min": "0.01" }2. Group Related Constraints
// ❌ Mixed up constraint definitions
constraints = {
"user.email": { "required": true, "type": "email" },
"user.addresses.*.zip": { "required": true },
"user.name": { "required": true },
"user.addresses.*.city": { "required": true }
};
// ✅ Logically grouped
constraints = {
// User basic info
"user.name": { "required": true, "type": "string" },
"user.email": { "required": true, "type": "email" },
// Address validation
"user.addresses.*.city": { "required": true, "type": "string" },
"user.addresses.*.zip": { "required": true, "regex": "^\d{5}$" }
};3. Validate Array Container and Items
constraints = {
// Validate the array itself
"user.addresses": { "required": true, "type": "array", "size": "1..5" },
// Validate array items
"user.addresses.*.street": { "required": true, "type": "string" },
"user.addresses.*.city": { "required": true, "type": "string" }
};Common Use Cases
API Request Validation
Perfect for validating complex JSON payloads:
// POST /api/users - Create user with profile and preferences
var apiConstraints = {
"name": { "required": true, "type": "string", "size": "2..100" },
"email": { "required": true, "type": "email" },
"profile.bio": { "type": "string", "size": "0..500" },
"profile.socialLinks.*.platform": { "inList": "twitter,linkedin,github" },
"profile.socialLinks.*.url": { "type": "url" },
"preferences.notifications.*.type": { "required": true },
"preferences.notifications.*.enabled": { "type": "boolean" }
};Form Data Processing
Handle complex form submissions with nested data:
// Registration form with emergency contacts
var formConstraints = {
"personal.firstName": { "required": true, "size": "2..50" },
"personal.lastName": { "required": true, "size": "2..50" },
"contacts.*.name": { "required": true, "type": "string" },
"contacts.*.relationship": { "required": true, "inList": "spouse,parent,sibling,friend" },
"contacts.*.phone": { "required": true, "regex": "^\d{3}-\d{3}-\d{4}$" }
};Configuration Validation
Validate application configuration files:
// App config with database connections and feature flags
var configConstraints = {
"database.connections.*.host": { "required": true, "type": "string" },
"database.connections.*.port": { "type": "numeric", "range": "1..65535" },
"features.*.name": { "required": true, "type": "string" },
"features.*.enabled": { "required": true, "type": "boolean" },
"logging.handlers.*.level": { "inList": "debug,info,warn,error" }
};Field name shortcuts make CBValidation incredibly powerful for handling real-world data structures while keeping your constraint definitions clean and maintainable.
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