ElasticSearch Indexing

Huseyin Akdogan

  • 出版商: Packt Publishing
  • 出版日期: 2015-12-24
  • 售價: $1,210
  • 貴賓價: 9.5$1,150
  • 語言: 英文
  • 頁數: 176
  • 裝訂: Paperback
  • ISBN: 1783987022
  • ISBN-13: 9781783987023
  • 相關分類: 全文搜尋引擎 Full-text-search
  • 海外代購書籍(需單獨結帳)

商品描述

Key Features

  • Improve user's search experience with the correct configuration
  • Deliver relevant search results – fast!
  • Save time and system resources by creating stable clusters

Book Description

Beginning with an overview of the way ElasticSearch stores data, you'll begin to extend your knowledge to tackle indexing and mapping, and learn how to configure ElasticSearch to meet your users' needs. You'll then find out how to use analysis and analyzers for greater intelligence in how you organize and pull up search results – to guarantee that every search query is met with the relevant results! You'll explore the anatomy of an ElasticSearch cluster, and learn how to set up configurations that give you optimum availability as well as scalability. Once you've learned how these elements work, you'll find real-world solutions to help you improve indexing performance, as well as tips and guidance on safety so you can back up and restore data. Once you've learned each component outlined throughout, you will be confident that you can help to deliver an improved search experience – exactly what modern users demand and expect.

What you will learn

  • Learn how ElasticSearch efficiently stores data – and find out how it can reduce costs
  • Control document metadata with the correct mapping strategies and by configuring indices
  • Use ElasticSearch analysis and analyzers to incorporate greater intelligence and organization across your documents and data
  • Find out how an ElasticSearch cluster works – and learn the best way to configure it
  • Perform high-speed indexing with low system resource cost
  • Improve query relevance with appropriate mapping, suggest API, and other ElasticSearch functionalities

About the Author

Huseyin Akdogan began his software adventure with the GwBasic programming language. He started learning the Visual Basic language after QuickBasic and developed many applications until 2000, after which he stepped into the world of Web with PHP. After this, he came across Java! In addition to counseling and training activities since 2005, he developed enterprise applications with JavaEE technologies. His areas of expertise are JavaServer Faces, Spring Frameworks, and big data technologies such as NoSQL and Elasticsearch. Along with these, he is also trying to specialize in other big data technologies. Huseyin also writes articles on Java and big data technologies and works as a technical reviewer of big data books. He was a reviewer of one of the bestselling books, Mastering Elasticsearch – Second Edition.

Table of Contents

  1. Introduction to Efficient Indexing
  2. What is an Elasticsearch Index
  3. Basic Concepts of Mapping
  4. Analysis and Analyzers
  5. Anatomy of an Elasticsearch Cluster
  6. Improving Indexing Performance
  7. Snapshot and Restore
  8. Improving the User Search Experience

商品描述(中文翻譯)

主要特點


  • 通過正確的配置提升用戶的搜索體驗

  • 快速提供相關的搜索結果!

  • 通過創建穩定的集群節省時間和系統資源

書籍描述

從ElasticSearch存儲數據的概述開始,您將擴展您的知識以應對索引和映射,並學習如何配置ElasticSearch以滿足用戶的需求。然後,您將了解如何使用分析和分析器來更智能地組織和提取搜索結果,以確保每個搜索查詢都能得到相關的結果!您將探索ElasticSearch集群的結構,並學習如何設置配置以獲得最佳的可用性和可擴展性。一旦您了解了這些元素的工作原理,您將找到現實世界的解決方案,以幫助您提高索引性能,以及有關安全性的提示和指導,以便您可以備份和還原數據。一旦您學習了書中概述的每個組件,您將有信心能夠提供更好的搜索體驗,這正是現代用戶所需和期望的。

您將學到什麼


  • 了解ElasticSearch高效存儲數據的方法,並了解它如何降低成本

  • 通過正確的映射策略和配置索引來控制文檔元數據

  • 使用ElasticSearch分析和分析器在文檔和數據中加入更智能和組織性

  • 了解ElasticSearch集群的工作原理,並學習最佳配置方法

  • 以低系統資源成本進行高速索引

  • 通過適當的映射、建議API和其他ElasticSearch功能提高查詢相關性

關於作者

Huseyin Akdogan從GwBasic編程語言開始他的軟件之旅。在QuickBasic之後,他開始學習Visual Basic語言,並開發了許多應用程序,直到2000年,之後他進入了PHP的Web世界。之後,他接觸到了Java!除了自2005年以來的咨詢和培訓活動外,他還使用JavaEE技術開發企業應用程序。他的專業領域包括JavaServer Faces、Spring Frameworks以及NoSQL和Elasticsearch等大數據技術。除此之外,他還在Java和大數據技術方面撰寫文章,並擔任大數據書籍的技術審查員。他曾是暢銷書籍《精通Elasticsearch - 第二版》的審查員。

目錄


  1. 高效索引入門

  2. Elasticsearch索引是什麼

  3. 映射的基本概念

  4. 分析和分析器

  5. Elasticsearch集群的結構

  6. 提高索引性能

  7. 快照和還原

  8. 提升用戶搜索體驗