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:
Oct. 31, 2017

Filed:

May. 22, 2015
Applicant:

Xcalar, Inc., San Jose, CA (US);

Inventors:

Vikram Joshi, San Jose, CA (US);

Jerene Yang, San Jose, CA (US);

Brent Lim Tze Hao, San Jose, CA (US);

Michael Brown, San Jose, CA (US);

Assignee:

Xcalar, Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G06F 3/0484 (2013.01);
U.S. Cl.
CPC ...
G06F 17/30336 (2013.01); G06F 3/04842 (2013.01); G06F 17/30321 (2013.01); G06F 17/30398 (2013.01); G06F 17/30448 (2013.01); G06F 17/30545 (2013.01); G06F 17/30554 (2013.01); G06F 17/30566 (2013.01); G06F 17/30622 (2013.01); G06F 17/30625 (2013.01); G06F 17/30628 (2013.01); G06F 17/30631 (2013.01); G06F 17/30911 (2013.01);
Abstract

Techniques are described herein for performing database operations against location and access transparent metadata units called fat pointers organized into globally distributed data structures. The fat pointers are created by extracting values corresponding to a particular key and paring each value with a reference to the local location and server that has the native format record containing the value. The fat pointers may be transferred to any server in the cluster, even if the server is different from the server that has the native format record. In general, most operations are performed against fat pointers rather than the native format records. This allows the cluster to perform work against arbitrary types of data efficiently and in a constant amount of time despite the variable sizes and structures of records.


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