objectbox/objectbox-dart v2.1.0

on GitHub

Support for integer and floating point lists: store 8-bit, 16-bit, 32-bit and 64-bit integer
lists as well as 32-bit and 64-bit floating point lists (called "vectors" by ObjectBox).

Use a typed_data class like Int16List, Uint16List or Float32List for large lists, it uses
less memory and CPU. Otherwise just use a Dart number list.

A simple example is a shape entity that stores a palette of RGB colors:

@Entity()
class Shape {
    @Id()
    int id = 0;

    // An array of RGB color values that are used by this shape.
    Int32List? palette;
}

This can also be useful to store vector embeddings produced by machine learning:

@Entity()
class ImageEmbedding {
    @Id()
    int id = 0;

    // Link to the actual image, e.g. on Cloud storage
    String? url;

    // The coordinates computed for this image (vector embedding)
    @Property(type: PropertyType.floatVector)
    List<double>? coordinates;
}

Note: for queries currently only the isNull and notNull conditions are supported.

Changed PropertyType.char from a 8-bit signed integer to a 16-bit unsigned integer to match the
ObjectBox database type.

Fix put returning an incorrect error message in a rare case.

Require at least Dart SDK 2.16 (shipped with Flutter 2.10.0).

Let Store.awaitQueueCompletion actually wait on the async queue to become idle. It previously
behaved like Store.awaitQueueSubmitted.

Fix analysis event send failure breaking the code generator. #542