ZIO Schema Use cases
ZIO Schema allows us to create representations of our data types as values.
Once we have a representation of our data types, we can use it to
- Serialize and deserialize our types
- Validate our types
- Transform our types
- Create instances of your types
We can then use one of the various codecs (or create our own) to serialize and deserialize your types.
Example of possible codecs are:
- CSV Codec
- JSON Codec (already available)
- Apache Avro Codec (in progress)
- Apache Thrift Codec (in progress)
- XML Codec
- YAML Codec
- Protobuf Codec (already available)
- QueryString Codec
- etc.
Example use cases that are possible:
- Serializing and deserializing JSON
- Serializing and deserializing XML
- Validating JSON
- Validating XML
- Transforming JSON
- Transforming XML
- Transforming JSON to XML
- Transforming XML to JSON
- Creating diffs from arbitrary data structures
- Creating migrations / evolutions e.g. of Events used in Event-Sourcing
- Transformation pipelines, e.g.
- Convert from protobuf to object, e.g.
PersonDTO, - Transform to another representation, e.g.
Person, - Validate
- Transform to JSON
JsonObject - Serialize to
String
- Convert from protobuf to object, e.g.