The objective of this book is to guide the reader through setting up, developing, and integrating different clients. It also shows the internals of read/write operations and how to maintain and scale HBase clusters in production. This book also allows engineers to kick start their project for recommendations, relevancy, and machine learning.
Chapter 1, Configuring HBase, provides in-depth knowledge of how to set up, configure, administer, and manage a large and scalable cluster.
Chapter 2, Loading Data, will deep dive into how we can extract data from various input sources using different process such as bulk load, put, and using MapReduce.
Chapter 3, Working with Large Distributed Systems I, talks about the internal architecture of HBase, how it connects, and provides a very scalable model.
Chapter 4, Working with Large Distributed Systems II, gives more details and is an extension of Chapter 3.
Chapter 5, Working with the Scalable Structure of Tables, allows us to understand how data can be modeled and how to design a scalable data model using HBase.
Chapter 6, HBase Client, allows the users to understand how we can communicate with core HBase using various type of clients.
Chapter 7, Large-Scale MapReduce, shows how to design a large scale MapReduce job using HBase, how the internals of it work, and how to optimize the HBase framework to do it.
Chapter 8, HBase Performance Tuning, will walk you through the process of fine-tuning read and write at consistent speeds, agnostic to the scale at which it's running.
Chapter 9, Performing Advance Task, will discuss some advance topics about machine learning using Mahout libraries and real-time text data analysis.
Chapter 10, Optimizing HBase for the Cloud, discusses how to utilize the Amazon cloud HBase framework.
Chapter 11, Case Study, integrates HBase with different search engines such as Solr, Elasticsearch, and Lily.
This book not only shows you how to set up a large scale HBase cluster using commodity hardware, but also talks about how to use the full potential of a cloud, such as AWS.
It also talks about the internal process of HBase and how it connects in a perfect synchronized way, enabling it to scale without compromising performance.
We tried to simplify things as much as we can with multiple examples and details where needed.
In the end, it talks about machine learning and text analysis using Solr and Elasticsearch.
This book will be very useful for the following group of people: students, engineers, infrastructure folk, architects, and for all people who have the fire to learn more.
In this book, you will find several headings that appear frequently (Getting ready, How to do it, How it works, There's more, and See also).
To give clear instructions on how to complete a recipe, we use these sections as follows:
This section tells you what to expect in the recipe, and describes how to set up any software or any preliminary settings required for the recipe.
This section usually consists of a detailed explanation of what happened in the previous section.
This section consists of additional information about the recipe in order to make the reader more knowledgeable about the recipe.
In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.
Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "The first step will be to create a directory at user/u/HbaseB and download the .tar file."
A block of code is set as follows:
<configuration>
<property>
<name>fs.default.name</name>
<value>hdfs://addressofbsdnsofmynamenode-hadoop:9001</value>
</property>
</configuration>Any command-line input or output is written as follows:
ls –ltr will show the below results. drwxrwxr-x 2 app app 4096 Jun 19 22:22 NameNodeData drwxrwxr-x 2 app app 4096 Jun 19 22:22 DataNodeData -bash-4.1$ pwd
New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "Clicking the Next button moves you to the next screen."
Feedback from our readers is always welcome. Let us know what you think about this book—what you liked or disliked. Reader feedback is important for us as it helps us develop titles that you will really get the most out of.
To send us general feedback, simply e-mail <[email protected]>, and mention the book's title in the subject of your message.
If there is a topic that you have expertise in and you are interested in either writing or contributing to a book, see our author guide at www.packtpub.com/authors.
Now that you are the proud owner of a Packt book, we have a number of things to help you to get the most from your purchase.
You can download the example code files for this book from your account at http://www.packtpub.com. If you purchased this book elsewhere, you can visit http://www.packtpub.com/support and register to have the files e-mailed directly to you.
You can download the code files by following these steps:
Log in or register to our website using your e-mail address and password.
Hover the mouse pointer on the SUPPORT tab at the top.
Click on Code Downloads & Errata.
Enter the name of the book in the Search box.
Select the book for which you're looking to download the code files.
Choose from the drop-down menu where you purchased this book from.
Click on Code Download.
You can also download the code files by clicking on the Code Files button on the book's webpage at the Packt Publishing website. This page can be accessed by entering the book's name in the Search box. Please note that you need to be logged in to your Packt account.
Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:
WinRAR / 7-Zip for Windows
Zipeg / iZip / UnRarX for Mac
7-Zip / PeaZip for Linux
The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/HBase-High-Performance-Cookbook. We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!
Although we have taken every care to ensure the accuracy of our content, mistakes do happen. If you find a mistake in one of our books—maybe a mistake in the text or the code—we would be grateful if you could report this to us. By doing so, you can save other readers from frustration and help us improve subsequent versions of this book. If you find any errata, please report them by visiting http://www.packtpub.com/submit-errata, selecting your book, clicking on the Errata Submission Form link, and entering the details of your errata. Once your errata are verified, your submission will be accepted and the errata will be uploaded to our website or added to any list of existing errata under the Errata section of that title.
To view the previously submitted errata, go to https://www.packtpub.com/books/content/support and enter the name of the book in the search field. The required information will appear under the Errata section.
Piracy of copyrighted material on the Internet is an ongoing problem across all media. At Packt, we take the protection of our copyright and licenses very seriously. If you come across any illegal copies of our works in any form on the Internet, please provide us with the location address or website name immediately so that we can pursue a remedy.
Please contact us at <[email protected]> with a link to the suspected pirated material.
We appreciate your help in protecting our authors and our ability to bring you valuable content.
If you have a problem with any aspect of this book, you can contact us at <[email protected]>, and we will do our best to address the problem.