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# `rfl::Skip`
It is possible to skip the serialization and deserialization of fields using `rfl::Skip`.
Note that `rfl::Skip` is unsupported by all schemaful formats, like Avro.
```cpp
struct Person {
rfl::Rename<"firstName", std::string> first_name;
rfl::Rename<"lastName", std::string> last_name;
rfl::Skip<std::string> town;
Age age;
};
```
This means that the field `town` will be ignored:
```json
{"firstName":"Homer","lastName":"Simpson","age":45}
```
If you only want to skip the deserialization, but not the serialization, you can use `rfl::SkipDeserialization`:
```cpp
struct Person {
rfl::Rename<"firstName", std::string> first_name;
rfl::Rename<"lastName", std::string> last_name;
rfl::SkipDeserialization<std::string> town;
Age age;
};
```
If you only want to skip the serialization, but not the deserialization, you can use `rfl::SkipSerialization`.
Note that this implies that the serializied data cannot be deserialized, because the field `town`
is expected during deserialization, but not serialized.
```cpp
struct Person {
rfl::Rename<"firstName", std::string> first_name;
rfl::Rename<"lastName", std::string> last_name;
rfl::SkipSerialization<std::string> town;
Age age;
};
```
You can access the underlying value in the field `town` using any of the following operators:
```cpp
person.town();
person.town.get();
person.town.value();
```
You can assign the underlying field just like any other field:
```cpp
person.town = "Springfield";
```
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