Validate - examples
- Former user (Deleted)
- Jenni Wallin
- Former user (Deleted)
Below are three examples of JSON schema validation, demonstrating different use cases: required fields with basic string validation, pattern validation, and nested structures. For more details on using JSON schema, see https://json-schema.org/.
Example 1: Required fields and basic string validation
In this JSON schema, the following fields must be included in each record. A valid example is when the field "value" is of type string and is 2-3 characters long.
brand
model
color
date
{
"required": [
"brand",
"color",
"model",
"date"
],
"properties": {
"value": {
"type": "string",
"minLength": 2,
"maxLength": 3
}
}
}This record matches all of the criteria:
{
"brand": "brand1",
"model": "modelA",
"color": "red",
"date": "20 March 2019",
"value": "cat"
}This record is discarded because hamster has more than 3 characters:
{
"brand": "brand1",
"model": "modelA",
"color": "red",
"date": "20 March 2019",
"value": "hamster"
}Example 2: Pattern validation
Pattern validation is done by specifying expressions that correlate with the desired functionality. In this example, the code checks for the presence of 6 digits and 3 uppercase characters:
{
"type":"string",
"pattern":"\\d{6}[A-Z]{3}"
}Another pattern validation example checks for the presence of a specific email address format:
{
"type":"string",
"pattern":".+@.+\\..+"
}Example 3: Nested structures
You need to use a different JSON schema structure for more complex use cases with nested structures like a nested array or object. To validate the following…
{
"brand": {
"logoType": true,
"name": "brandA"
},
"model": {
"year": "2004",
"name": "modelA"
},
"arrayWithString": ["a", "b", "c"]
}…use a JSON schema like:
{
"properties": {
"brand": {
"properties": {
"logoType": {
"type":"boolean"
},
"name": {
"type": "string"
}
}
},
"model": {
"properties": {
"year": {
"pattern": "^\\d{4}$"
},
"name": {
"type": "string"
}
}
},
"arrayWithString": {
"type": "array",
"items": {
"type": "string"
}
}
}
}