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Showing content from https://www.mongodb.com/docs/atlas/device-sdks/sdk/java/model-data/ below:

Model Data - Java SDK - Atlas Device SDKs

Note New Java SDK apps cannot use RealmAny

New App Services Apps will not be able to synchronize data models with properties of type RealmAny.

An object schema is a configuration object that defines the fields and relationships of a Realm object type. Android Realm applications define object schemas with Java or Kotlin classes using Realm Schemas.

Object schemas specify constraints on object fields such as the data type of each field, whether a field is required, and default field values. Schemas can also define relationships between object types in a realm.

Modifying your application's Realm Schema requires you to migrate data from older versions of your Realm Schema to the new version.

Every App has a Realm Schema composed of a list of object schemas for each type of object that the realms in that application may contain.

Realm guarantees that all objects in a realm conform to the schema for their object type and validates objects whenever they're created, modified, or deleted.

Apps that use Atlas Device Sync can define schemas in two ways:

You can model one-to-one relationships in realm with RealmObject fields. You can model one-to-many and many-to-one relationships RealmList fields. Inverse relationships are the opposite end of a one-to-many or many-to-one relationship. You can make inverse relationships traversable with the @LinkingObjects annotation on a RealmResults field. In an instance of a RealmObject, inverse relationship fields contain the set of Realm objects that point to that object instance through the described relationship. You can find the same set of Realm objects with a manual query, but the inverse relationship field reduces boilerplate query code and capacity for error.

Unlike normal Java objects, which contain their own data, a Realm object doesn't contain data. Instead, Realm objects read and write properties directly to Realm.

Instances of Realm objects can be either managed or unmanaged.

You can convert between the two states using realm.copyToRealm() and realm.copyFromRealm().

The RealmProxy classes are the Realm SDK's way of ensuring that Realm objects don't contain any data themselves. Instead, each class's RealmProxy accesses data directly in the database.

For every model class in your project, the Realm annotation processor generates a corresponding RealmProxy class. This class extends your model class and is returned when you call Realm.createObject(). In your code, this object works just like your model class.

Realm objects:

Naming limitations:

Size limitations:

Usage limitations:

The bytecode transformer used by Realm supports incremental builds, but your application requires a full rebuild when adding or removing the following from a Realm object field:

You can perform a full rebuild with Build > Clean Project and Build > Rebuild Project in these cases.

A schema version identifies the state of a Realm Schema at some point in time. Realm tracks the schema version of each realm and uses it to map the objects in each realm to the correct schema.

Schema versions are integers that you may include in the realm configuration when you open a realm. If a client application does not specify a version number when it opens a realm then the realm defaults to version 0.

Important Increment Versions Monotonically

Migrations must update a realm to a higher schema version. Realm throws an error if a client application opens a realm with a schema version that is lower than the realm's current version or if the specified schema version is the same as the realm's current version but includes different object schemas.

A local migration is a migration for a realm that does not automatically Sync with another realm. Local migrations have access to the existing Realm Schema, version, and objects and define logic that incrementally updates the realm to its new schema version. To perform a local migration you must specify a new schema version that is higher than the current version and provide a migration function when you open the out-of-date realm.

With the SDK, you can update underlying data to reflect schema changes using manual migrations. During such a manual migration, you can define new and deleted properties when they are added or removed from your schema. The editable schema exposed via a DynamicRealm provides convenience functions for renaming fields. This gives you full control over the behavior of your data during complex schema migrations.

Tip Migrations During Application Development

During development of an application, RealmObject classes can change frequently. You can use Realm.deleteRealm() to delete the database file and eliminate the need to write a full migration for testing data.


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