Reference
Type-specific keywords
The type
keyword is fundamental to JSON Schema. It specifies the data
type for a schema.
At its core, JSON Schema defines the following basic types:
These types have analogs in most programming languages, though they may go by different names.
The following table maps from the names of JSON types to their analogous types in Python:
JSON | Python |
---|---|
string | string *1 |
number | int/float *2 |
object | dict |
array | list |
boolean | bool |
null | None |
Footnotes
[#1] Since JSON strings always support unicode, they are
analogous to unicode
on Python 2.x and str
on
Python 3.x.
[#2] JSON does not have separate types for integer and floating-point.
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.
Here is a simple example of using the type
keyword:
In the following example, we accept strings and numbers, but not structured data types:
For each of these types, there are keywords that only apply to those types. For example, numeric types have a way of specifying a numeric range, that would not be applicable to other types. In this reference, these validation keywords are described along with each of their corresponding types in the following chapters.
Format
The format
keyword conveys semantic information for values that may be difficult or impossible to describe using JSON Schema. Typically, this semantic information is described by other documents. The JSON Schema Validation specification defines several formats, but this keyword also allows schema authors to define their own formats.
For example, because JSON doesn't have a "DateTime" type, dates need to be encoded as strings. format
allows the schema author to indicate that the string value should be interpreted as a date. By default, format
is just an annotation and does not affect validation.
Optionally, validator implementations can provide a configuration option to enable format
to function as an assertion rather than just an annotation. That means that validation fails when, for example, a value with a date
format isn't in a form that can be parsed as a date. This allows values to be constrained beyond what other tools in JSON Schema, including Regular Expressions, can do.
Implementations may provide validation for only a subset of the built-in formats or do partial validation for a given format. For example, some implementations may consider a string an email if it contains an @
, while others might perform additional checks for other aspects of a well-formed email address.
The JSON Schema specification has a bias toward networking-related formats due to its roots in web technologies. However, custom formats may also be used if the parties exchanging the JSON documents share information about the custom format types. A JSON Schema validator will ignore any format type it does not understand.
Built-in Formats
It should be noted that format
is not limited to a specific set of valid values or types. Users may define their own custom keywords including ones that work with JSON data types other than string
, such as number
. Below, we cover the formats specified in the JSON Schema specification.
Dates and Times
Dates and times are represented in RFC 3339, section 5.6. RFC 3339 is a specification from the Internet Engineering Task Force (IETF).
"date-time"
: Date and time together, for example,2018-11-13T20:20:39+00:00
."time"
:New in draft 7Time, for example,20:20:39+00:00
."date"
:New in draft 7Date, for example,2018-11-13
."duration"
:New in draft 2019-09A duration as defined by the ISO 8601 ABNF for "duration". For example,P3D
expresses a duration of 3 days.
Email Addresses
"email"
: Internet email address, see RFC 5321, section 4.1.2."idn-email"
:New in draft 7The internationalized form of an Internet email address, see RFC 6531.
Hostnames
"hostname"
: Internet host name, see RFC 1123, section 2.1."idn-hostname"
:New in draft 7An internationalized Internet host name, see RFC5890, section 2.3.2.3.
IP Addresses
"ipv4"
: IPv4 address, according to dotted-quad ABNF syntax as defined in RFC 2673, section 3.2."ipv6"
: IPv6 address, as defined in RFC 2373, section 2.2.
Resource Identifiers
"uuid"
:New in draft 2019-09A Universally Unique Identifier as defined by RFC 4122. Example:3e4666bf-d5e5-4aa7-b8ce-cefe41c7568a
."uri"
: A universal resource identifier (URI), according to RFC3986."uri-reference"
:New in draft 6A URI Reference (either a URI or a relative-reference), according to RFC3986, section 4.1."iri"
:New in draft 7The internationalized equivalent of a "uri", according to RFC3987."iri-reference"
:New in draft 7The internationalized equivalent of a "uri-reference", according to RFC3987.
URI Template
"uri-template"
:New in draft 6A URI Template (of any level) according to RFC6570. If you don't already know what a URI Template is, you probably don't need this value.
JSON Pointer
"json-pointer"
:New in draft 6A JSON Pointer, according to RFC6901. There is more discussion on using JSON Pointer within JSON Schema in Structuring a complex schema. Note that this should be used only when the entire string contains only JSON Pointer content, e.g.,/foo/bar
. JSON Pointer URI fragments, e.g.,#/foo/bar/
should use"uri-reference"
."relative-json-pointer"
:New in draft 7A relative JSON pointer.
Regular Expressions
"regex"
:New in draft 7A regular expression that should be valid according to the ECMA 262 dialect. Be careful, in practice, JSON Schema validators are only required to accept the safe subset of regular expressions described elsewhere in this document.
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