The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 26, 2013
Filed:
Jun. 27, 2011
Swaminathan Sivasubramanian, Seattle, WA (US);
Stefano Stefani, Issaquah, WA (US);
Chiranjeeb Buragohain, Seattle, WA (US);
Rande A. Blackman, Seattle, WA (US);
Timothy Andrew Rath, Seattle, WA (US);
Grant A. M. Mcalister, Seattle, WA (US);
Jakub Kulesza, Bellevue, WA (US);
James Hamilton, Seattle, WA (US);
Raymond S. Bradford, Seattle, WA (US);
Luis Felipe Cabrera, Bellevue, WA (US);
Swaminathan Sivasubramanian, Seattle, WA (US);
Stefano Stefani, Issaquah, WA (US);
Chiranjeeb Buragohain, Seattle, WA (US);
Rande A. Blackman, Seattle, WA (US);
Timothy Andrew Rath, Seattle, WA (US);
Grant A. M. McAlister, Seattle, WA (US);
Jakub Kulesza, Bellevue, WA (US);
James Hamilton, Seattle, WA (US);
Raymond S. Bradford, Seattle, WA (US);
Luis Felipe Cabrera, Bellevue, WA (US);
Amazon Technologies, Inc., Reno, NV (US);
Abstract
A system that implements a scalable data storage service may maintain tables in a non-relational data store on behalf of clients. The system may provide a Web services interface through which service requests are received, and an API usable to request that a table be created, deleted, or described; that an item be stored, retrieved, deleted, or its attributes modified; or that a table be queried (or scanned) with filtered items and/or their attributes returned. An asynchronous workflow may be invoked to create or delete a table. Items stored in tables may be partitioned and indexed using a simple or composite primary key. The system may not impose pre-defined limits on table size, and may employ a flexible schema. The service may provide a best-effort or committed throughput model. The system may automatically scale and/or re-partition tables in response to detecting workload changes, node failures, or other conditions or anomalies.