Cloudera, Inc.

Alex Behm

Henry Noel Robinson

Nong Li

Justin Erickson

Lenni Kuff

Marcel Kornacker

Alan Choi

Li Nong

A format conversion engine for Apache Hadoop that converts data from its original format to a database-like format at certain time points for use by a low latency (LL) query engine. The format conversion engine comprises a daemon that is installed on each data node in a Hadoop cluster. The daemon comprises a scheduler and a converter. The scheduler determines when to perform the format conversion and notifies the converter when the time comes. The converter converts data on the data node from its original format to a database-like format for use by the low latency (LL) query engine.

Background format optimization for enhanced queries in a distributed computing cluster

Background format optimization for enhanced SQL-like queries in Hadoop

A low latency query engine for APACHE HADOOP&#x2122; 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&#x2122; 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.

Low latency query engine for apache hadoop

Low latency query engine for Apache Hadoop

Growing community of inventors

San Francisco, CA, United States of America

Alex Behm