In some implementations a method may be providing that includes importing database tables from a source system to a target system; obtaining, from a data dictionary, a first metadata about a foreign key association for a first database table to at least one of the database tables; obtaining, from a scan of code, a second metadata about an after import method for the first database table; in response to the second metadata representing that the after import method does not exist for the first database table, storing the first database table in the order table; and in response to the second metadata representing that the after import method does exist for the first database table, scanning for a first indication that the after import method corresponds to a read of at least one other database table before storing the first database table in the order table.

In some implementations a method may be providing that includes importing database tables from a source system to a target system; obtaining, from a data dictionary, a first metadata about a foreign key association for a first database table to at least one of the database tables; obtaining, from a scan of code, a second metadata about an after import method for the first database table; in response to the second metadata representing that the after import method does not exist for the first database table, storing the first database table in the order table; and in response to the second metadata representing that the after import method does exist for the first database table, scanning for a first indication that the after import method corresponds to a read of at least one other database table before storing the first database table in the order table.

Described are methods, systems and computer readable media for dynamic updating of query result displays.

Described are methods, systems and computer readable media for dynamic updating of query result displays.

A method, a system, and computer program product for application function library installation for cloud-based systems. An application function in a plurality of application functions is executed. The application function is executed using a server instance running in a container. A determination is made that execution of the application function requires an application function library. The application function library for executing of the application function is obtained. The obtained application function library is loaded during runtime of the application function.

A method, a system, and computer program product for application function library installation for cloud-based systems. An application function in a plurality of application functions is executed. The application function is executed using a server instance running in a container. A determination is made that execution of the application function requires an application function library. The application function library for executing of the application function is obtained. The obtained application function library is loaded during runtime of the application function.

Various implementations of the present application set forth a method comprising generating three-dimensional data and two-dimensional data representing a physical space that includes a real-world asset, generating an extended-reality (XR) stream representing a remote collaboration session between a host device and a set of remote devices, where the XR stream includes a combination of the three-dimensional data and the two-dimensional data, a set of augmented-reality (AR) elements associated with the real-world asset, and a set of performed actions associated with a portion of the digital representation or at least one AR element, serializing the XR stream into a set of serialized chunks, transmitting the serialized chunks to the remote devices, where the remote devices recreate the XR stream in a set of remote XR environments, and transmitting the serialized chunks to a remote storage device, where a device subsequently retrieves the serialized chunks to replay the remote collaboration session.

Various implementations of the present application set forth a method comprising generating three-dimensional data and two-dimensional data representing a physical space that includes a real-world asset, generating an extended-reality (XR) stream representing a remote collaboration session between a host device and a set of remote devices, where the XR stream includes a combination of the three-dimensional data and the two-dimensional data, a set of augmented-reality (AR) elements associated with the real-world asset, and a set of performed actions associated with a portion of the digital representation or at least one AR element, serializing the XR stream into a set of serialized chunks, transmitting the serialized chunks to the remote devices, where the remote devices recreate the XR stream in a set of remote XR environments, and transmitting the serialized chunks to a remote storage device, where a device subsequently retrieves the serialized chunks to replay the remote collaboration session.

Devices and techniques are generally described for a speech processing routing architecture. In various examples, first data comprising a first feature definition is received. The first feature definition may include a first indication of first source data and first instructions for generating feature data using the first source data. In various examples, the feature data may be generated according to the first feature definition. In some examples, a speech processing system may receive a first request to process a first utterance. The feature data may be retrieved from a non-transitory computer-readable memory. The speech processing system may determine a first skill for processing the first utterance based at least in part on the feature data.

Devices and techniques are generally described for a speech processing routing architecture. In various examples, first data comprising a first feature definition is received. The first feature definition may include a first indication of first source data and first instructions for generating feature data using the first source data. In various examples, the feature data may be generated according to the first feature definition. In some examples, a speech processing system may receive a first request to process a first utterance. The feature data may be retrieved from a non-transitory computer-readable memory. The speech processing system may determine a first skill for processing the first utterance based at least in part on the feature data.