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HBase High Performance Cookbook

You're reading from   HBase High Performance Cookbook Solutions for optimization, scaling and performance tuning

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781783983063
Length 350 pages
Edition 1st Edition
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Author (1):
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Ruchir Choudhry Ruchir Choudhry
Author Profile Icon Ruchir Choudhry
Ruchir Choudhry
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Table of Contents (13) Chapters Close

Preface 1. Configuring HBase FREE CHAPTER 2. Loading Data from Various DBs 3. Working with Large Distributed Systems Part I 4. Working with Large Distributed Systems Part II 5. Working with Scalable Structure of tables 6. HBase Clients 7. Large-Scale MapReduce 8. HBase Performance Tuning 9. Performing Advanced Tasks on HBase 10. Optimizing Hbase for Cloud 11. Case Study Index

Working with Apache Avro


Avro is created with a vision to provide a language-independent serialization system. Avro allows us to process and share data with an array of languages like C, C++, C#, Java, Python, Perl, PHP, and Ruby.

The schema of Avro in JSON and are encoded in binary format. A datafile of Avro essentially contains metadata where the schema is stored. The scalability is backed into the Avro system, as the datafile supports compression and can be split based on need. The serialized data is in a compact binary format that doesn't require proxy objects or code generation. Instead of using generated proxy libraries and strong typing, Avro relies on the schemas that are sent, along with the serialized data.

Including schemas with the Avro messages allows any application to deserialize the data. All the major primitive data types are supported. Complex data types such as records, enums, arrays, and maps are also supported. It's optional to generate code in Avro; the data can be written...

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