Elasticsearch实践：2015年最佳指南

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"Elasticsearch.in.Action.2015.11.全英文非图片可搜索.目前ES最新最佳书籍.pdf" 这本书《Elasticsearch in Action》是由Radu Gheorghe, Matthew Lee Hinman和Roy Russo合作编写的，由Manning出版社出版。该书专注于介绍Elasticsearch的相关知识，是2015年11月时关于Elasticsearch的最新和最优秀的参考资料。Elasticsearch是一个流行的开源全文搜索引擎，它基于Lucene库，广泛应用于数据检索、分析和实时大数据处理。书中详细讲解了Elasticsearch的核心概念和技术，包括但不限于： 1. **Elasticsearch基础**：介绍了Elasticsearch的基本架构，如何安装和配置，以及其分布式特性和弹性扩展能力。 2. **索引和文档**：详细阐述了如何创建、更新和删除索引，以及索引中的文档是如何存储和检索的。 3. **查询与过滤**：深入探讨了Elasticsearch的查询语言，包括标准查询、布尔查询、范围查询等，以及如何进行高效的过滤操作。 4. **聚合分析**：讲解了如何利用Elasticsearch进行复杂的数据聚合，包括术语聚合、指标聚合和桶聚合等，用于数据分析和报表生成。 5. **映射与分析**：讨论了字段映射的重要性，如何定义字段类型，以及文本分析器的使用，以支持各种语言的全文搜索。 6. **性能优化**：提供了关于如何优化索引速度、查询性能和集群性能的建议，包括分片策略、缓存管理及硬件配置。 7. **实时数据处理**：介绍了Elasticsearch如何处理实时数据流，与Logstash和Kibana（通常称为ELK栈）的集成，用于日志管理和可视化。 8. **安全性与监控**：讨论了如何保护Elasticsearch集群的安全，设置用户权限，以及如何监控集群健康状态和性能指标。 9. **故障恢复与备份**：讲解了如何进行数据恢复和备份策略，确保数据的完整性和一致性。 10. **高级特性**：涵盖了如脚本、图形化查询DSL（比如Kuery和Painless）、机器学习功能等更进阶的主题。通过阅读本书，读者将能够全面理解Elasticsearch的工作原理，掌握实际操作技巧，并能有效地在项目中应用Elasticsearch来解决数据搜索、分析和存储的问题。同时，由于内容全面且深入，它也适合对Elasticsearch有一定了解的开发者进行深入学习和参考。

xvii

acknowledgments

Many people provided their invaluable support to make this book possible:

■

Susan Conant, our development editor at Manning, who supported us in so

many ways: by providing valuable feedback on draft chapters, helping to plan

book and individual chapter structures, giving encouragement, advising us on

upcoming steps, helping us overcome bumps in the road, and so on

■

Jettro Coenradie, our technical editor, who helped us review big chunks of the

manuscript before it went to production and again helped with the final steps

before the book went to press

■

Valentin Crettaz, who helped with his thorough technical proofread

■

Our Manning Early Access Program (

MEAP

) readers who posted so many help-

ful comments in the Author Online forum

■

The reviewers from the development process who provided such good feedback

that I can’t even begin to imagine how the book would look without them:

Achim Friedland, Alan McCann, Artur Nowak, Bhaskar Karambelkar, Daniel

Beck, Gabriel Katenbaumn, Gianluca Rhigetto, Igor Motov, Jeelani Shaik, Joe

Gallo, Konstantin Yakushev, Koray Güclü, Michael Schleichardt, Paul Stadig,

Ray Lugo Jr., Sen Xu, and Tanguy Leroux

ADU

HEORGHE

I’d like to express my thanks in chronological order. To my colleagues from Avira:

Mihai Sandu, Mihai Efrim, Martin Ahrens, Matthias Ollig and many others, for sup-

porting me in learning about Elasticsearch and tolerating my not-always-successful

Licensed to Thomas Snead <n.ordickan@gmail.com>

ABOUT THIS BOOK

What exactly are the features we’ll cover? Let’s look at the roadmap of this book

for more details.

Roadmap

Elasticsearch in Action is divided into two parts: “Core functionality” and “Advanced

functionality.” We recommend reading chapters in order, as the functionality discussed

in one chapter often depends on the concepts presented in previous chapters. Each

chapter contains code listings and snippets you can follow if you prefer a hands-on

approach, but it’s not necessary to have a laptop with you in order to learn the con-

cepts and how Elasticsearch works.

The first part explains the core features—how to model and index data so you can

search and analyze it as your use case requires. By the end of it, you’ll understand the

building blocks of Elasticsearch functionality:

■

Chapter 1 gives an overview of what a search engine does in general and Elastic-

search’s features in particular. By the end of it you should know what kind of

problems you can solve with Elasticsearch.

■

Chapter 2 gets your feet wet regarding the major functionality: indexing docu-

ments, searching them, analyzing data via aggregations, and scaling out to mul-

tiple nodes.

■

Chapter 3 covers the options you have while indexing, updating, and deleting

your data. You’ll learn what kind of fields you can have in your documents, as

well as what happens when you’re writing them.

■

In chapter 4 you’ll dive deeper into the realm of full-text search. You’ll discover

the important types of queries and filters and learn how they work and when to

use which.

■

Chapter 5 explains how analysis breaks down the text from both documents

and queries into the tokens used for searching. You’ll learn how to use different

kinds of analyzers—as well as how to build your own—in order to fully utilize

Elasticsearch’s full text search potential.

■

Chapter 6 helps you complete your full text search skills by focusing on rele-

vancy. You’ll learn about the factors affecting a document’s score and how to

manipulate them using different scoring algorithms, boosting a particular

query or field, or using values from the document itself—such as the number of

likes or retweets—to boost the score.

■

Chapter 7 shows how to use aggregations to perform real-time analytics. You’ll

learn how to couple aggregations with queries and how to nest them in order to

find the number of needles in the haystack . . . dropped by someone from

Poland . . . two years ago.

■

Chapter 8 deals with relational data, like bands and their albums. You’ll learn

how to use Elasticsearch features—such as nested documents and parent-child

relationships—as well as general No

SQL

techniques (such as denormalizing or

application-side joins) to index and search data that isn’t flat.

Licensed to Thomas Snead <n.ordickan@gmail.com>

ABOUT THIS BOOK

xxi

The second part helps you get the core functionality out to production. In doing so,

you’ll learn more about how each feature works, as well as its impact on performance

and scalability:

■

Chapter 9 deals with scaling out to multiple nodes. You’ll learn how to shard

and replicate your indices—for example, by oversharding or using time-based

indices—so that today’s design can cope with next year’s data.

■

In chapter 10 you’ll find tricks that will help you squeeze more performance

out of your cluster. Along the way, you’ll learn how Elasticsearch uses caches

and writes data to disk, as well as various trade-offs you can make to tweak Elas-

ticsearch for your use case.

■

Chapter 11 shows how to monitor and administer your cluster in production.

We’ll cover the important metrics you should watch, how to back up and restore

your data, and how to use shortcuts such as index templates and aliases.

The book’s six appendixes cover features you should know about, but these features

may not be relevant to some use cases. We hope that the term “appendix” doesn’t mis-

lead you into thinking we cover these features superficially. As with the rest of the

book, we’ll dive into the details of how each feature works under the hood:

■

Appendix A is about geospatial search and aggregations.

■

Appendix B shows how to manage Elasticsearch plugins.

■

In Appendix C you’ll learn about highlighting query terms in your search

results.

■

Appendix D introduces third-party monitoring tools that you may want to use in

production to help you manage Elasticsearch.

■

Appendix E explains how to use the Percolator in order to match few docu-

ments against many queries.

■

Finally, appendix F explains how to use different suggesters in order to imple-

ment did-you-mean and autocomplete functionality.

Code conventions and downloads

All source code in listings or in text is in a

fixed-width

font

this

to separate it

from ordinary text. Code annotations accompany many of the listings, highlighting

important concepts.

Source code for all the working examples in the book and instructions to run them

are available at https://github.com/dakrone/elasticsearch-in-action. You can also down-

load the code from the publisher’s website at www.manning.com/books/elasticsearch-

in-action.

The code snippets and the source code will work on Elasticsearch 1.5. They should

work on all the versions of the 1.x branch. At the time of this writing, the roadmap for

version 2.0 is becoming clearer, and it’s taken into account: we skipped features that

will go away, such as configuration options on most predefined fields. In other places,

Licensed to Thomas Snead <n.ordickan@gmail.com>

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Elasticsearch实践：2015年最佳指南

Elasticsearch in Action 全文检索

elasticsearch-in-action, 操作手册中，Elasticsearch的官方代码库.zip

ElasticSearch实战 in Action.zip

es7的co.elastic.clients.elasticsearch.core.aggregations方法怎么使用

Caused by: java.lang.ClassNotFoundException: org.elasticsearch.action.GenericAction

es8的co.elastic.clients.elasticsearch.core.aggregations方法怎么使用

CentOS elasticsearch elasticsearch.service

es 7版本 'org.elasticsearch.client.RestHighLevelClient' is deprecated

Failed to stop elasticsearch.service: Unit elasticsearch.service not loaded.

elasticsearch.ApiError

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