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HBase High Performance Cookbook

HBase High Performance Cookbook

By : Ruchir Choudhry
2.5 (2)
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HBase High Performance Cookbook

HBase High Performance Cookbook

2.5 (2)
By: Ruchir Choudhry

Overview of this book

Apache HBase is a non-relational NoSQL database management system that runs on top of HDFS. It is an open source, disturbed, versioned, column-oriented store and is written in Java to provide random real-time access to big Data. We’ll start off by ensuring you have a solid understanding the basics of HBase, followed by giving you a thorough explanation of architecting a HBase cluster as per our project specifications. Next, we will explore the scalable structure of tables and we will be able to communicate with the HBase client. After this, we’ll show you the intricacies of MapReduce and the art of performance tuning with HBase. Following this, we’ll explain the concepts pertaining to scaling with HBase. Finally, you will get an understanding of how to integrate HBase with other tools such as ElasticSearch. By the end of this book, you will have learned enough to exploit HBase for boost system performance.
Table of Contents (13 chapters)
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7
7. Large-Scale MapReduce
12
Index

Working with Apache Thrift


In this section, we will discuss Apache Thrift, Avro, and will briefly touch on the Protocol buffer software framework, for scalable cross-language services development, which combines a software stack with a code generation engine to build services that work efficiently and seamlessly between C++, Java, Python, PHP, other languages.

Note

It won't be possible to discuss each topic in depth, but we will try to discuss some use cases.

We will start with Apache Thrift first; the Thrift framework is widely used, and is used for scalable cross-language services development, combining a software stack with a code generation engine to build services that work efficiently and seamlessly between C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, JavaScript, Node.js, Smalltalk, OCaml Delphi, and other languages.

How to do it…

Let's connect to the cluster that we have set up:

  1. Download the latest Thrift by using Wget.

    http://mirror.sdunix.com/apache/thrift/0.9.2/thrift...

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