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Elasticsearch Server: Second Edition von [Ku&#x107;,  Rafal, Rogozi&#x144;ski,  Marek]
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Elasticsearch Server: Second Edition 2nd Revised edition , Kindle Edition


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Produktbeschreibungen

Kurzbeschreibung

A practical guide to building fast, scalable, and flexible search solutions with clear and easytounderstand examples

About This Book


  • Learn about the fascinating functionalities of ElasticSearch like data indexing, data analysis, and dynamic mapping

  • Fine-tune ElasticSearch and understand its metrics using its API and available tools, and see how it behaves in complex searches

  • A hands-on tutorial that walks you through all the features of ElasticSearch in an easy-to-understand way, with examples that will help you become an expert in no time

Who This Book Is For

If you are a web developer or a user who wants to learn more about Elasticsearch, then this is the book for you. You do not need to know anything about Elasticsearch, Java, or Apache Lucene in order to use this book, though basic knowledge of databases and queries is required.

What You Will Learn


  • Configure and create your own index

  • Set up an analysis chain and handle multilingual data

  • Use the Elasticsearch query DSL to make all kinds of queries

  • Utilize filters efficiently and ensure they do not affect performance

  • Implement autocomplete functionality

  • Employ faceting, the aggregations framework, and similar functionalities to get more from your search and improve your clients' search experience

  • Monitor your cluster state and health by using Elasticsearch APIs as well as third-party monitoring solutions

  • Learn what gateway and discovery modules are, and how to properly configure them

  • Control primary shards and replica rebalancing

In Detail

This book begins by introducing the most commonly used Elasticsearch server functionalities, from creating your own index structure, through querying, faceting, and aggregations, and ends with cluster monitoring and problem diagnosis. As you progress through the book, you will cover topics such as starting Elasticsearch, creating a new index, and designing its proper structure. After that, you'll read about the query API that Elasticsearch exposes, as well as about filtering capabilities, aggregations, and faceting. Last but not least, you will get to know how to find similar documents by using similar functionalities and how to implement application alerts by using the prospective search functionality called percolator. Some advanced topics such as shard allocation control, gateway configuration, and how to use the discovery module will also be discussed. This book will also show you the possibilities of cluster state and health monitoring as well as how to use third-party tools.

Über den Autor und weitere Mitwirkende

Rafal Kuc

Rafal Kuc is a born team leader and software developer. He currently works as a consultant and a software engineer at Sematext Group, Inc., where he concentrates on open source technologies such as Apache Lucene and Solr, Elasticsearch, and Hadoop stack. He has more than 12 years of experience in various branches of software, from banking software to ecommerce products. He focuses mainly on Java but is open to every tool and programming language that will make the achievement of his goal easier and faster. Rafal is also one of the founders of the solr.pl site, where he tries to share his knowledge and help people with the problems they face with Solr and Lucene. Also, he has been a speaker at various conferences around the world, such as Lucene Eurocon, Berlin Buzzwords, ApacheCon, and Lucene Revolution. Rafal began his journey with Lucene in 2002, and it wasn't love at first sight. When he came back to Lucene in late 2003, he revised his thoughts about the framework and saw the potential in search technologies. Then, Solr came along and this was it. He started working with Elasticsearch in the middle of 2010. Currently, Lucene, Solr, Elasticsearch, and information retrieval are his main points of interest. Rafal is also the author of Apache Solr 3.1 Cookbook, and the update to it, Apache Solr 4 Cookbook. Also, he is the author of the previous edition of this book and Mastering ElasticSearch. All these books have been published by Packt Publishing.



Marek Rogozinski

Marek Rogozinski is a software architect and consultant with more than 10 years of experience. He has specialized in solutions based on open source search engines such as Solr and Elasticsearch, and also the software stack for Big Data analytics including Hadoop, HBase, and Twitter Storm. He is also the cofounder of the solr.pl site, which publishes information and tutorials about Solr and the Lucene library. He is also the coauthor of some books published by Packt Publishing. Currently, he holds the position of the Chief Technology Officer in a new company, designing architecture for a set of products that collect, process, and analyze large streams of input data.


Produktinformation

  • Format: Kindle Edition
  • Dateigröße: 2094 KB
  • Seitenzahl der Print-Ausgabe: 428 Seiten
  • Verlag: Packt Publishing; Auflage: 2nd Revised edition (24. April 2014)
  • Verkauf durch: Amazon Media EU S.à r.l.
  • Sprache: Englisch
  • ASIN: B00JXLF7AK
  • Text-to-Speech (Vorlesemodus): Aktiviert
  • X-Ray:
  • Word Wise: Nicht aktiviert
  • Screenreader: Unterstützt
  • Verbesserter Schriftsatz: Aktiviert
  • Durchschnittliche Kundenbewertung: Schreiben Sie die erste Bewertung
  • Amazon Bestseller-Rang: #337.966 Bezahlt in Kindle-Shop (Siehe Top 100 Bezahlt in Kindle-Shop)

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Amazon.com: 4.1 von 5 Sternen 13 Rezensionen
1 von 1 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen Good as a reference 22. Februar 2015
Von Dimitri K - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
This book is a very detailed reference book. As it often happens when engineers write books, there are lots of details, copy-pasted from specification. But when it comes to explaining principles, the authors start to, well, stumble a little. They misuse words, sentences become short and vague, as if the authors have no time to discuss such things. Some basic ideas are mentioned but never clearly explained. It leaves some mess in the head, instead of the clear picture. Definitive Guide is way better, not because it is thicker, but because only from there I finally understood what exactly the author of this book meant.
4.0 von 5 Sternen Great Referencing Book 24. Oktober 2014
Von Tola CHHOEUN - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
Really useful book for referencing.
Because describe all features from A to Z.
0 von 1 Kunden fanden die folgende Rezension hilfreich
2.0 von 5 Sternen snapshoting and health status monitoring are explained good, but it lacks info about scaling and deeper ... 9. März 2015
Von Daniel Gligorov - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
95% of the book is Dev oriented. There are very few chapters at the end of it Ops oriented.

Got the book mainly cause of Ops looking tasks, initial basic setup, snapshoting and health status monitoring are explained good, but it lacks info about scaling and deeper production tuning.

Could be written in half the number of pages it is, there are query examples 10 pages long, in fact half the book is few line explanation and then result from a query spread on multiple pages.
0 von 1 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Helpful to my project 3. Juni 2014
Von Jungmi - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
This book more helps me for my search project than before other books. Specially for various type search queries. And also set up clustering environment too.
5 von 5 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen It's a dictionary-style book 26. Mai 2014
Von Yuen Kit Lai - Veröffentlicht auf Amazon.com
Format: Taschenbuch
Summary: This book explains each feature in details. It is a good reference book if you want to find a specific feature. It is not "step-by-step" or "project-based" book. I would suggest first glance through the table content to have a high-level understanding, and read in detail for particular feature. I give it a 3 stars because it does provide details information on each feature. If you know what feature you want to use, this book is quite useful. I don't give it a 4 or 5 stars because it is not "brain" friendly.

Pros: Explains each feature / API in details. Each explanation comes with a JSON sample. It can be used as a comprehensive reference book.

Cons: Lack of graph / chart / diagram to illustrate the concept (I am a visual guy). It's hard to study a dictionary. ElasticSearch exposes a lot of configuration options to users in the form of JSON (JSON is a new XML :). This book too focus on JSON / API, even the sample code is just a bunch of JSON. For example on "Chapter 8: Administrating Your Cluster", instead of showing us available tools, this book show us all the details of low-level JSON API. This book is dry.
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