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ElasticSearch Blueprints
ElasticSearch Blueprints

ElasticSearch Blueprints: A practical project-based guide to generating compelling search solutions using the dynamic and powerful features of Elasticsearch

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ElasticSearch Blueprints

Chapter 1. Google-like Web Search

Text search problems are one of the key and common use cases for web-based applications. Developers over the world have been keen to bring an open source solution to this problem. Hence, the Lucene revolution happened. Lucene is the heart of most of the search engines that you see today. It basically accepts the text that is to be searched, stores it in an easy searchable form or data structure (inverted index), and then accepts various types of search queries and returns a set of matching results. After the first search revolution, came the second one. Many server-based search solutions, such as Apache SOLR, were built on top of Lucene and marked the second phase of the search revolution. Here, a powerful wrapper was made to interface web users that wanted to index and search text of Lucene. Many powerful tools, notably SOLR, were developed at this stage of revolution. Some of these search frameworks were able to provide document database features too. Then, the next phase of the search revolution came, which is still on-going. The design goal of this phase is provide scaling solutions for the existing stack. Elasticsearch is a search and analytic engine that provides a powerful wrapper to Lucene along with an inbuilt document database and provisions various scaling solutions. The document database is also implemented using Lucene. Though competitors of Elasticsearch have some more advanced feature sets, those tools lack the simplicity and the wide range of scalability solutions Elasticsearch offers. Hence, we can see that Elasticsearch is the farthest point to which the search revolution has reached and is the future of text search.

This chapter takes you along the course to build a simple scalable search server. We will see how to create an index and add some documents to it and try out some essential features such as highlighting and pagination of results. Also, we will cover topics such as how to set an analyzer for our text and how to apply filters to eliminate unwanted characters such as HTML tags, and so on.

Here are the important topics that we will cover in this chapter:

  • Deploying Elasticsearch
  • Concept of the head UI shards and replicas
  • Index – type mapping
  • Analyzers, filters, and tokenizers
  • The head UI

Let's start and explore Elasticsearch in detail.

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Description

If you are a data enthusiast and would like to explore and specialize on search technologies based on Elasticsearch, this is the right book for you. A compelling case-to-case mapping of features and implementation of Elasticsearch to solve many real-world use cases makes this book the right choice to start and specialize on Elasticsearch.

Who is this book for?

If you are a data enthusiast and would like to explore and specialize on search technologies based on Elasticsearch, this is the right book for you. A compelling case-to-case mapping of features and implementation of Elasticsearch to solve many real-world use cases makes this book the right choice to start and specialize on Elasticsearch.

What you will learn

  • Build a simple scalable server for effective searching in Elasticsearch
  • Design a scalable ecommerce search solution to generate accurate search results using various filters such as filters based on date range and price range
  • Improve the relevancy and scoring of your searches
  • Manage realworld, complex data using various techniques, including parentchild search and searching questions based on the criteria of questions and answers
  • Use the excellent data crunching and aggregation capability of Elasticsearch to analyze your data
  • Generate realtime visualizations of your data using compelling visualization techniques, such as time graphs, pie charts, and stacked graphs
  • Enhance the quality of your search and widen the scope of matches using various analyzer techniques, such as lower casing, stemming, and synonym matching

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 24, 2015
Length: 192 pages
Edition : 1st
Language : English
ISBN-13 : 9781783984930
Vendor :
Elastic
Category :

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Product Details

Publication date : Jul 24, 2015
Length: 192 pages
Edition : 1st
Language : English
ISBN-13 : 9781783984930
Vendor :
Elastic
Category :

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Frequently bought together


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Total 124.97
ElasticSearch Cookbook - Second Edition
€45.99
ElasticSearch Blueprints
€36.99
Elasticsearch Server: Second Edition
€41.99
Total 124.97 Stars icon

Table of Contents

9 Chapters
1. Google-like Web Search Chevron down icon Chevron up icon
2. Building Your Own E-Commerce Solution Chevron down icon Chevron up icon
3. Relevancy and Scoring Chevron down icon Chevron up icon
4. Managing Relational Content Chevron down icon Chevron up icon
5. Analytics Using Elasticsearch Chevron down icon Chevron up icon
6. Improving the Search Experience Chevron down icon Chevron up icon
7. Spicing Up a Search Using Geo Chevron down icon Chevron up icon
8. Handling Time-based Data Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
(2 Ratings)
5 star 50%
4 star 0%
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1 star 50%
Quentin FAYET Sep 22, 2015
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I read that book to improve my knowledge about Elasticsearch.After reading "Elasticsearch Server" from the same editor, I was searching for a book with complete examples, from basic stuff to more complicated topics (such as Geolocalized requests).Well, this book did the job perfectly.Going from "basic" stuff, such as "Google style" full-text search, to more complex notions such as geolocalized requests, this book is reviewing every important feature of the amazing Elasticsearch.Other interesting such as data analysis, or even seach experience and search optimizations are exposed in this book.I would say this book is really complete, and I would definitely recommand it.
Amazon Verified review Amazon
Jeremy McLain Dec 16, 2016
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
This would have been a good book if it had been written in intelligible English. It's riddled with incoherent sentences, grammar mistakes, and misspellings. I don't mean a few dozen mistakes - nearly every paragraph has a major sentence construction or spelling error. It's obvious that English is not the first language of both the author and the editor. I applaud their effort to attempt to write a book in a non-native language, but Packt Publishing should have had it reviewed by a native English speaker before it was published.
Amazon Verified review Amazon
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