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.

Date of Patent:
Feb. 24, 2015

Filed:

Jun. 28, 2012
Applicants:

Zachary M. Shalla, Seattle, WA (US);

Ullas Sankhla, Seattle, WA (US);

Shen Pan, Bellevue, WA (US);

Nagesh V. Honnalli, Seattle, WA (US);

Surendra Moolchand Bashani, Mercer Island, WA (US);

Vaibhav Sharma, Bellevue, WA (US);

Gaurav D. Ghare, Seattle, WA (US);

Sushanth Tiruvaipati, Seattle, WA (US);

Léon Thrane, Issaquah, WA (US);

Inventors:

Zachary M. Shalla, Seattle, WA (US);

Ullas Sankhla, Seattle, WA (US);

Shen Pan, Bellevue, WA (US);

Nagesh V. Honnalli, Seattle, WA (US);

Surendra Moolchand Bashani, Mercer Island, WA (US);

Vaibhav Sharma, Bellevue, WA (US);

Gaurav D. Ghare, Seattle, WA (US);

Sushanth Tiruvaipati, Seattle, WA (US);

Léon Thrane, Issaquah, WA (US);

Assignee:

Amazon Technologies, Inc., Reno, NV (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
Abstract

To achieve long running batch updates, a transaction aggregator layer and one or more data aggregation queues, such as a command queue, are placed between one or more clients and a database. Writes go to the database aggregator layer and are enqueued in the appropriate data aggregation queue, which may be allocated by transaction. Committing the transaction drains the queue and writes the contents of the queue in one transaction-like update to the database. By using the transaction logic in the transaction aggregator layer, transaction-like behavior may be achieved that allows both updates and transactions to scale with less impact on database servers.


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