Amazon Technologies, Inc.

Microsoft Technology Licensing, LLC

Kawarjit Bedi

Piyush Gupta

Sainath Chowdary Mallidi

Andi Gutmans

Xingbo Wang

Divij Vaidya

James A Gosling

Ramachandran Venkatesh

Pablo Castro

Atulya S Beheray

John Z Chen

Blaine J Dockter

Sravan Kumar Nandamuri

Atulya Beheray

Methods, systems, and computer-readable media for query language interoperability in a graph database are disclosed. Data elements are inserted into a graph database using one or more of a plurality of graph database query languages. The graph database query languages comprise a first graph database query language associated with a first data model and a second graph database query language associated with a second data model. The data elements are stored in the graph database using an internal data model that differs from the first and second data models. One or more of the data elements are retrieved from the graph database based at least in part on a query. The query is expressed using a different graph database query language than the graph database query language used to insert the one or more retrieved data elements.

Query language interoperability in a graph database

Methods, systems, and computer-readable media for global column indexing in a graph database are disclosed. A plurality of data elements of a graph database are stored. The triples comprise identifiers, column names, and values. The column names are globally scoped in the graph database and are associated with data types. Indices corresponding to the column names are created. A particular one of the indices comprises one or more of the values associated with the corresponding column name. A query is performed on the graph database using one or more of the indices corresponding to one of more of the column names associated with the query.

Global column indexing in a graph database

A coordinated network service that facilitates the design and implementation of a coordinated device network of IoT devices. The coordinated network service defines modules for individual IoT devices or coordinated devices that specify the necessary inputs to the device, the outputs from the device and communication protocols. Via an interface, user devices can select a set of IoT devices and specify how they are connected and the decision making logic associated with communication flow. The coordinated network service can then automatically generate mapping information that implements the decision making logic and provides necessary transformations for communications between the specified devices. The selected modules and mappings form a workflow for the coordinated device network. The coordinated network service can then generate executable code to implement the formed workflow in a coordinated device network.

Configuration of workflows for coordinated device environments

Query language interoperabtility in a graph database

In one embodiment, a computer system receives an indication that a portion of data at a first node in a first database table is to be modified according to a received update command. The computer system assigns the first database table a base height value indicating that the first database table is the base node in a search for related nodes, accesses one or more other database tables in the database, and identifies at least one other accessed database table that has a node with data related to the modified data of the first node. The computer system assigns the other accessed database table a height value different than that assigned to the base node, orders the first database table and any other identified database tables by assigned height value, and updates the data at each node based on the established height value ordering and the type of update command received.

Database object update order determination

A database API is presented that can expose data of non-native data-types, i.e., types that are unknown at API design-time. A broad type-system is used that is understood by both a server and a client. The API can dynamically discover, at run-time, data types that were defined using this broad type-system. The API can retrieve metadata that references a non-native data type in a client type library. A retrieved instance of the non-native data type, in serialized form, may be deserialized using the metadata.

System and method for supporting non-native data types in a database API

Growing community of inventors

Sammamish, WA, United States of America

Kawarjit Bedi