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  • Book Overview & Buying Elasticsearch Server - Third Edition
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Elasticsearch Server - Third Edition

Elasticsearch Server - Third Edition - Third Edition

By : Marek Rogozinski, Rafal Kuc
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Elasticsearch Server - Third Edition

Elasticsearch Server - Third Edition

5 (1)
By: Marek Rogozinski, Rafal Kuc

Overview of this book

ElasticSearch is a very fast and scalable open source search engine, designed with distribution and cloud in mind, complete with all the goodies that Apache Lucene has to offer. ElasticSearch’s schema-free architecture allows developers to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses, even those with petabytes of unstructured data. This book will guide you through the world of the most commonly used ElasticSearch server functionalities. You’ll start off by getting an understanding of the basics of ElasticSearch and its data indexing functionality. Next, you will see the querying capabilities of ElasticSearch, followed by a through explanation of scoring and search relevance. After this, you will explore the aggregation and data analysis capabilities of ElasticSearch and will learn how cluster administration and scaling can be used to boost your application performance. You’ll find out how to use the friendly REST APIs and how to tune ElasticSearch to make the most of it. By the end of this book, you will have be able to create amazing search solutions as per your project’s specifications.
Table of Contents (13 chapters)
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12
Index

Chapter 3. Searching Your Data

In the previous chapter, we dived into Elasticsearch indexing. We learned a lot when it comes to data handling. We saw how to tune Elasticsearch schema-less mechanism and we now know how to create our own mappings. We also saw the core types of Elasticsearch and we used analyzers – both the one that comes out of the box with Elasticsearch and the one we defined ourselves. We used bulk indexing and we added additional internal information to our indices. Finally, we learned what segment merging is, how we can fine tune it, and how to use routing in Elasticsearch and what it gives us. This chapter is fully dedicated to querying. By the end of this chapter, you will have learned the following topics:

  • How to query Elasticsearch
  • What happens internally when queries are run
  • What are the basic queries in Elasticsearch
  • What are the compound queries in Elasticsearch that allow us to group other queries
  • How to use position aware queries – span queries...
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