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HBase: The Definitive Guide
book

HBase: The Definitive Guide

by Lars George
September 2011
Intermediate to advanced
552 pages
16h 31m
English
O'Reilly Media, Inc.
Content preview from HBase: The Definitive Guide

Foreword

Michael Stack, HBase Project Janitor

The HBase story begins in 2006, when the San Francisco-based startup Powerset was trying to build a natural language search engine for the Web. Their indexing pipeline was an involved multistep process that produced an index about two orders of magnitude larger, on average, than your standard term-based index. The datastore that they’d built on top of the then nascent Amazon Web Services to hold the index intermediaries and the webcrawl was buckling under the load (Ring. Ring. “Hello! This is AWS. Whatever you are running, please turn it off!”). They were looking for an alternative. The Google BigTable paper[1] had just been published.

Chad Walters, Powerset’s head of engineering at the time, reflects back on the experience as follows:

Building an open source system to run on top of Hadoop’s Distributed Filesystem (HDFS) in much the same way that BigTable ran on top of the Google File System seemed like a good approach because: 1) it was a proven scalable architecture; 2) we could leverage existing work on Hadoop’s HDFS; and 3) we could both contribute to and get additional leverage from the growing Hadoop ecosystem.

After the publication of the Google BigTable paper, there were on-again, off-again discussions around what a BigTable-like system on top of Hadoop might look. Then, in early 2007, out of the blue, Mike Cafarela dropped a tarball of thirty odd Java files into the Hadoop issue tracker: “I’ve written some code for HBase, a BigTable-like ...

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Publisher Resources

ISBN: 9781449314682Errata Page