Microsoft Technology Licensing, LLC

Jianchun Xu

Geoffrey M Kizer

Gaurav Seth

Koundinya Veluri

Techniques are described herein that are capable of deep cloning (a.k.a. deep copying) objects using a binary format. A deep clone of a designated object includes references to other objects (and potentially copies of the other objects) included in the designated object. A binary representation of each object in an object graph is generated to provide a binary clone of the object graph. Objects created by a dynamic language engine are called dynamic language objects. Objects created by a host (e.g., that hosts the dynamic language engine) are called host objects. Each host object is associated with an intermediate representation thereof via a property bag that describes properties of that host object. Each intermediate representation is understandable by the dynamic language engine. A binary representation of each dynamic language object and each host object may be generated in accordance with the binary format to provide the binary clone.

Deep cloning of objects using binary format

Aspects of the subject matter described herein relate to serializing and de-serializing objects. In aspects, a serialization engine uses a grammar to serialize data into a binary representation. The serialization engine may call upon a host serialization engine to serialize embedded object that are not directly supported by the environment hosting the serialization engine. The serialization engine may encode the grammar used to serialize the data into the serialized data for use in de-serializing the data. After the object is serialized, the serialized data may be de-serialized when desired by using the grammar. The grammar is such that it causes embedded objects and relationships to be preserved in the serialized representation of the object.

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Issaquah, WA, United States of America

Jianchun Xu