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ElasticSearch Cookbook

Chapter 2. Downloading and Setting Up ElasticSearch

In this chapter we will cover the following topics:

Downloading and installing an ElasticSearch
Networking setup
Setting up a node
Setting up ElasticSearch for Linux systems (advanced)
Setting up different node types (advanced)
Installing a plugin
Installing a plugin manually
Removing a plugin
Changing logging settings (advanced)

Key benefits

Write native plugins to extend the capabilities of ElasticSearch to boost your business

Integrate the power of ElasticSearch in your Java applications using the native API or Python applications, with the ElasticSearch community client

Step-by step-instructions to help you easily understand ElasticSearch's capabilities, that act as a good reference for everyday activities

Description

ElasticSearch is one of the most promising NoSQL technologies available and is built to provide a scalable search solution with built-in support for near real-time search and multi-tenancy. This practical guide is a complete reference for using ElasticSearch and covers 360 degrees of the ElasticSearch ecosystem. We will get started by showing you how to choose the correct transport layer, communicate with the server, and create custom internal actions for boosting tailored needs. Starting with the basics of the ElasticSearch architecture and how to efficiently index, search, and execute analytics on it, you will learn how to extend ElasticSearch by scripting and monitoring its behaviour. Step-by-step, this book will help you to improve your ability to manage data in indexing with more tailored mappings, along with searching and executing analytics with facets. The topics explored in the book also cover how to integrate ElasticSearch with Python and Java applications. This comprehensive guide will allow you to master storing, searching, and analyzing data with ElasticSearch.

What you will learn

Choose the best ElasticSearch cloud topology to deploy and power it up with external plugins

Control the index steps with tailored mappings

Manage indices and documents and build a complex query against them

Execute facets to compute analytics against your data to improve searches and results

Use scripting to bypass limits of search, facets, and updates

Synchronize and populate data from different data sources, by managing rivers (SQL, NoSQL, web)

Monitor the cluster and node performances, and execute common tasks via web interfaces

Integrate ElasticSearch in Python and Java applications

Extend the capabilities of ElasticSearch by writing your own plugin to add REST calls, rivers, and custom cluster actions

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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Amazon verified reviews

jensblond Mar 05, 2014

After reading "ElasticSearch Server" and "Mastering ElasticSearch", "ElasticSearch Cookbook" is a good resource for finding solutions and answers to simple things but also complex tasks.It is very useful for your daily ElasticSearch business. You get the extracted informations to your questions. Each "recipe" is split into the following parts:- Getting Ready- How to do it…- How it works…(Optional)- There's more…- See alsoAs an eBook it is very handy with the search function of your eBook Reader.I would fully recommend the book. …but if you need deeper information, you have to get the other mentioned books.

Amazon Verified review

Jan Borgelin Mar 13, 2014

While cookbooks are not a suitable format for every technology out there, it certainly works for ElasticSearch, as it has so many features to write about.The book covers everything from setting up and configuring a single server or a cluster, working with the REST API (along with good recommendations on plugins to make your life more comfortable) as well as short examples in Python and Java to get you comfortable transforming your knowledge in REST interface to programming languages.Recipes represent common tasks you will encounter while working with ES, thus it serves as a good reference book after you've finished reading it.This book covers ES v.0.90.x, but the changes and improvements in 1.x.x versions are subtle and easily adaptable once you master the basics.I highly recommend this book to anyone who needs to quickly master ElasticSearch and is having problems in finding his way through the official documentation.

astropanic Mar 15, 2014

It's not a must read but a nice addition to the two others books from the series, who owns them, will not need the chapters with explanation of the basic terms, and the installation guide either.This book contains some useful information about writing custom plugins, scripting, monitoring, some code integration is also covered, examples are for Java and Python.Sadly, aggregations are not mentioned (facets are), but still the book is worth a read.

Craig Pottinger Mar 02, 2014

I needed to ramp up on elastisearch quickly. Having never used it or anything like it, It was the perfect pace. The only reason I would not go 5 is because it does not cover aggregations, which going forward should act as an active replacement for facets. It's a great place to start, but in practice you'll find yourself consulting alongside the book the elasticsearch documentation, which is good in its own right. That said, I'm happy that I purchased the book.

hzero Feb 01, 2014

The official ElasticSearch documentation is sometimes to sporadic. Don't take me wrong, I like developer manual that go to the point and this is not an extensive cookbook full of example. You get all the API documented with every time one request and response example and some hint to avoid common pitfall, that's it. Chapter are short and cross referenced avoiding reading two time the same explanation. I'm using the PDF version of this book has my main reference now.... thanks!