Salesforce Com, Inc.

Microsoft Technology Licensing, LLC

Amazon Technologies, Inc.

Lorenzo Minore

Gary Horen

Matthew Van Wely

Peter Sirota

Richard Jeffrey Cole

Vaibhav Aggarwal

Paul Yuknewicz

Kathryn Marie Shih

Steven M Lasker

Antoine Cote

Carl Louis Christofferson

James P Bartlett

Eider Brantly Moore

Richard Rex McKnight

Dynamic materialization of a feed is described. A request for a feed is received. A state of the feed is determined. Responsive to determining that the state is the inactive state, causing materialization of the feed in a second non-relational database system with feed items of the feed from the first relational database system, where the second database system is separate from the first database system, and setting the state of the feed to the activating state. Responsive to determining that the state is the active state, causing the request for the feed to be processed from the second non-relational database system.

Dynamic materialization of feeds for enabling access of the feed in an online social network

Dynamic materialization of a feed is described. A request for a feed is received. A state of the feed is determined. Responsive to determining that the state is the inactive state, causing materialization of the feed by populating a materialized feeds table in a second non-relational database system with feed items of the feed from the first relational database system, and setting the state of the feed to the activating state. Responsive to determining that the state is the active state, causing the request for the feed to be processed from the materialized feeds table in the second non-relational database system. Responsive to determining that the state is the disabled state, causing the request for the feed to be processed from the first relational database system, and causing an update of the materialized feeds table in the second non-relational database system to be postponed for a predetermined amount of time.

Methods and systems for using a scheduler in a data pipeline are disclosed. A plurality of objects in a first layer are created, each representing a respective regularly scheduled task. A plurality of objects in a second layer are created, each representing a respective scheduled instance of a regularly scheduled task. It is determined whether each object in the second layer is ready to execute. For at least one object in the second layer, it is determined if the object has received notifications from any objects on which it depends. For each object that is ready to execute, the regularly scheduled task associated with the object is performed. For each object that is not ready to execute, the object is put to sleep.

Scheduler for data pipeline

A system and method that facilitate data access in a software development environment is provided. The system generates strongly typed objects that encapsulate raw, untyped data access logic and groups together like database commands in a common data access component. The system provides a mapping between database types and common language runtime data types including the impedance mismatch of null representations. The system configures data access component(s) that are employed at design-time to facilitate access to data object(s) by application(s) and allows a user of the configured data access component(s) to improve developer productivity and/or reduce the quantity of runtime errors introduced into code. The data access component can be instanced on multiple forms components and/or with the developer's own class(es). Thus, change(s) to a query and/or interface are accomplished within the data access component and be available to the forms components and/or object(s) that utilize the data access component.

Data access layer design and code generation

Growing community of inventors

Seattle, WA, United States of America

Lorenzo Minore