Reader small image

You're reading from  Learning Elasticsearch

Product typeBook
Published inJun 2017
PublisherPackt
ISBN-139781787128453
Edition1st Edition
Right arrow
Author (1)
Abhishek Andhavarapu
Abhishek Andhavarapu
author image
Abhishek Andhavarapu

Abhishek Andhavarapu is a software engineer at eBay who enjoys working on highly scalable distributed systems. He has a master's degree in Distributed Computing and has worked on multiple enterprise Elasticsearch applications, which are currently serving hundreds of millions of requests per day. He began his journey with Elasticsearch in 2012 to build an analytics engine to power dashboards and quickly realized that Elasticsearch is like nothing out there for search and analytics. He has been a strong advocate since then and wrote this book to share the practical knowledge he gained along the way.
Read more about Abhishek Andhavarapu

Right arrow

Preface

Welcome to Learning Elasticsearch. We will start by describing the basic concepts of Elasticsearch. You will see how to install Elasticsearch and Kibana and learn how to index and update your data. We will use an e-commerce site as an example to explain how a search engine works and how to query your data. The real power of Elasticsearch is aggregations. You will see how to perform aggregation-based analytics with ease. You will also see how to use Kibana to explore and visualize your data. Finally, we will discuss how to use Graph to discover relations in your data and use alerting to set up alerts and notification on different trends in your data.

To better explain various concepts, lots of examples have been used throughout the book. Detailed instructions to install Elasticsearch, Kibana and how to execute the examples is included in Chapter 2, Setting Up Elasticsearch and Kibana.

What this book covers

Chapter 1, Introduction to Elasticsearch, describes the building blocks of Elasticsearch and what makes Elasticsearch scalable and distributed. In this chapter, we also discuss the strengths and limitations of Elasticsearch.

Chapter 2, Setting Up Elasticsearch and Kibana, covers the installation of Elasticsearch and Kibana.

Chapter 3, Modeling Your Data and Document Relations, focuses on modeling your data. To support text search, Elasticsearch preprocess the data before indexing. This chapter describes why preprocessing is necessary and various analyzers Elasticsearch supports. In addition to that, we discuss how to handle relationships between different document types.

Chapter 4, Indexing and Updating Your Data, covers how to index and update your data and what happens internally when you index and update. The data indexed in Elasticsearch is only available after a small delay, we discuss the reason for the delay and how to control the delay.

Chapter 5, Organizing Your Data and Bulk Data Ingestion, describes how to organize and manage indices in Elasticsearch using aliases and templates and more. This chapter also covers various Bulk API’s Elasticsearch supports and how to rebuild your existing indices using Reindex and Shrink API.

Chapter 6, All About Search, covers how to search, sort and paginate on your data. The concept of relevance is introduced and we discuss how to tune the relevance score to get the most relevant search results at the top.

Chapter 7, More Than a Search Engine (Geofilters, Autocomplete and More), covers how to filter based on geolocation, using Elasticsearch suggesters for autocomplete, correcting user typo’s and lot more.

Chapter 8, How to Slice and Dice Your Data Using Aggregations, covers different kinds of aggregations Elasticsearch supports and how to visualize the data using Kibana.

Chapter 9, Production and Beyond, covers important settings to configure and monitor in production.

Chapter 10, Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting), covers Elastic Cloud, which is managed cloud hosting and other products that are part of X-Pack.

What you need for this book

The book was written using Elasticsearch 5.1.2, and all the examples used in the book should work with it. The request format used in this book is based on the Kibana Console and you’ll need Kibana Console or Sense Chrome plugin to execute the examples used in this book. Please refer to Query format used in this book section of Chapter 2, Setting up Elasticsearch and Kibana for more details. If using Kibana or Sense is not option, you can use other HTTP clients such as cURL or Postman. The request format is slightly different and is explained in the Using cURL or Postman section of Chapter 2, Setting Up Elasticsearch and Kibana.

Who this book is for

This book is for software developers who are planning to build a search and analytics engine or are trying to learn Elasticsearch.

Some familiarity with web technologies (JavaScript, REST, JSON) would be helpful.

Conventions

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, path names, dummy URLs, user input, and Twitter handles are shown as follows: "We can include other contexts through the use of the include directive."

A block of code is set as follows:

{
"articleid": 1,
"name": "Introduction to Elasticsearch"
}

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

{
"articleid": 1,
"name": "Introduction to Elasticsearch"
}

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."

Warnings or important notes appear in a box like this.

Tips and tricks appear like this.

Reader feedback

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 feedback@packtpub.com, 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.

Customer support

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.

Downloading the example code

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:

  1. Log in or register to our website using your e-mail address and password.
  2. Hover the mouse pointer on the SUPPORT tab at the top.
  3. Click on Code Downloads & Errata.
  4. Enter the name of the book in the Search box.
  5. Select the book for which you're looking to download the code files.
  6. Choose from the drop-down menu where you purchased this book from.
  7. 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/Learning-Elasticsearch. We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Errata

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

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 copyright@packtpub.com with a link to the suspected pirated material.

We appreciate your help in protecting our authors and our ability to bring you valuable content.

Questions

If you have a problem with any aspect of this book, you can contact us at questions@packtpub.com, and we will do our best to address the problem.

lock icon
The rest of the chapter is locked
You have been reading a chapter from
Learning Elasticsearch
Published in: Jun 2017Publisher: PacktISBN-13: 9781787128453
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
undefined
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime

Author (1)

author image
Abhishek Andhavarapu

Abhishek Andhavarapu is a software engineer at eBay who enjoys working on highly scalable distributed systems. He has a master's degree in Distributed Computing and has worked on multiple enterprise Elasticsearch applications, which are currently serving hundreds of millions of requests per day. He began his journey with Elasticsearch in 2012 to build an analytics engine to power dashboards and quickly realized that Elasticsearch is like nothing out there for search and analytics. He has been a strong advocate since then and wrote this book to share the practical knowledge he gained along the way.
Read more about Abhishek Andhavarapu