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:
May. 17, 2016

Filed:

Mar. 13, 2013
Applicant:

Cloudera, Inc., Palo Alto, CA (US);

Inventors:

Marcel Kornacker, Oakland, CA (US);

Justin Erickson, San Francisco, CA (US);

Nong Li, San Francisco, CA (US);

Lenni Kuff, San Francisco, CA (US);

Henry Noel Robinson, San Francisco, CA (US);

Alan Choi, Palo Alto, CA (US);

Alex Behm, San Francisco, CA (US);

Assignee:

Cloudera, Inc., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
G06F 17/30442 (2013.01); G06F 17/30545 (2013.01);
Abstract

A low latency query engine for APACHE HADOOP™ that provides real-time or near real-time, ad hoc query capability, while completing batch-processing of MapReduce. In one embodiment, the low latency query engine comprises a daemon that is installed on data nodes in a HADOOP™ cluster for handling query requests and all internal requests related to query execution. In a further embodiment, the low latency query engine comprises a daemon for providing name service and metadata distribution. The low latency query engine receives a query request via client, turns the request into collections of plan fragments and coordinates parallel and optimized execution of the plan fragments on remote daemons to generate results at a much faster speed than existing batch-oriented processing frameworks.


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