150

Hopefully this isn't obvious to others because I find the docs at https://json-schema.org/ to be lacking in finer details. I'm getting a block of JSON with some properties that can be null or a string. How do you specify, in a JSON Schema (to be parsed by Json.NET's JsonSchema.Parse method), that a value can be of type null or type string?

Is there something simple I'm missing like supplying an array for the type? For example;

"member_region": { "type": [ "string", null ] } // this throws an exception

Also, does anyone have a better source for JSON Schema details than json-schema.org? Where can I find a larger selection of examples? I don't want to read a big document/specification to find something that can easily be demonstrated in a 10 line example.

Callum Watkins
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evanmcdonnal
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  • Source with more examples and documentation: https://json-schema.org/understanding-json-schema/ which is linked in json-schema.org – nutsandbolts Oct 19 '22 at 20:43

4 Answers4

237

From https://json-schema.org/understanding-json-schema/reference/type.html

The type keyword may either be a string or an array:

  • If it’s a string, it is the name of one of the basic types above.
  • If it is an array, it must be an array of strings, where each string is the name of one of the basic types, and each element is unique. In this case, the JSON snippet is valid if it matches any of the given types

The same page lists also the defined data type names, including string and null.

Try:

"member_region": { "type": ["string", "null"] }
Yirkha
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Explosion Pills
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89

Extending on Explosion Pills answer if you go for the array syntax:

"member_region": { "type": [ "string", "null" ] } // this works

because you are stating a type, not an example/value. You shouldn't go for:

 "member_region": { "type": [ "string", null ] } // this throws an exception
zardilior
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6

anyOf may also be useful.

"member_region": {
  "anyOf": [
    { "type": "string" },
    { "type": "null" },
  ] 
}
Epigene
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-2

["string", "null"] will work if you're not using a RegEx pattern.

I'm using a date field validator:

    (0[1-9]|1[012])[- /.](0[1-9]|[12][0-9]|3[01])[- /.](19|20)\\d\\d 

to allow a MM/dd/yyyy pattern, but it will throw a non-match error at an empty string ("")

TheWizardOfTN
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