Generic fields
Most fields in any API, whether in a request, a resource, or a custom response, have a specific type or schema. This schema is part of the contract that developers write their code against.
However, occasionally it is appropriate to have a generic or polymorphic field of some kind that can conform to multiple schemata, or even be entirely free-form.
Guidance
While generic fields are generally rare, a API may introduce generic field where necessary. There are several approaches to this depending on how generic the field needs to be; in general, APIs should attempt to introduce the “least generic” approach that is able to satisfy the use case.
For example, an API should not use a completely generic field (such as
google.protobuf.Struct
in protobuf APIs) when the value of the field must
correspond to one of a known number of schemas. Instead, the API should use
a oneof
to represent the known schemas.
Generic fields in protobuf APIs
Oneof
A oneof
may be used to introduce a type union: the user or API is able to
specify one of the fields inside the oneof
. Additionally, a oneof
may
be used with the same type (usually strings) to represent a semantic difference
between the options.
Because the individual fields in the oneof
have different keys, a developer
can programmatically determine which (if any) of the fields is populated.
A oneof
preserves the largest degree of type safety and semantic meaning for
each option, and APIs should generally prefer them over other generic or
polymorphic options when feasible. However, the oneof
construct is ill-suited
when there is a large (or unlimited) number of potential options, or when there
is a large resource structure that would require a long series of “cascading
oneofs”.
Maps
Maps may be used in situations where many values of the same type are needed, but the keys are unknown or user-determined.
Maps are usually not appropriate for generic fields because the map values all share a type, but occasionally they are useful. In particular, a map can sometimes be suited to a situation where many objects of the same type are needed, with different behavior based on the names of their keys (for example, using keys as environment names).
Struct
The google.protobuf.Struct
object may be used to represent
arbitrary nested JSON. Keys can be strings, and values can be floats, strings,
booleans, arrays, or additional nested structs, allowing for an arbitrarily
nested structure that can be represented as JSON (and is automatically
represented as JSON when using REST/JSON).
A Struct
is most useful when the API does not know the schema in advance, or
when a API needs to store and retrieve arbitrary but structured user data.
Using a Struct
is convenient for users in this case because they can easily
get JSON objects that can be natively manipulated in their environment of
choice.
If a API needs to reason about the schema of a Struct
, it should use
JSONSchema for this purpose. Because JSONSchema is itself JSON, a valid
JSONSchema document can itself be stored in a Struct
.
Any
The google.protobuf.Any
object can be used to send an arbitrary
serialized protocol buffer and a type definition.
However, this introduces complexity, because an Any
becomes useless for any
task other than blind data propagation if the consumer does not have access to
the proto. Additionally, even if the consumer does have the proto, the
consumer has to ensure the type is registered and then deserialize manually,
which is an often-unfamiliar process.
Because of this, Any
should not be used unless other options are
infeasible.