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Learning Elasticsearch

You're reading from   Learning Elasticsearch Structured and unstructured data using distributed real-time search and analytics

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787128453
Length 404 pages
Edition 1st Edition
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Author (1):
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Abhishek Andhavarapu Abhishek Andhavarapu
Author Profile Icon Abhishek Andhavarapu
Abhishek Andhavarapu
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Elasticsearch FREE CHAPTER 2. Setting Up Elasticsearch and Kibana 3. Modeling Your Data and Document Relations 4. Indexing and Updating Your Data 5. Organizing Your Data and Bulk Data Ingestion 6. All About Search 7. More Than a Search Engine (Geofilters, Autocomplete, and More) 8. How to Slice and Dice Your Data Using Aggregations 9. Production and Beyond 10. Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

All About Search

This chapter dives into search and helps you understand the different types of queries Elasticsearch supports. You will learn how to search, sort, and paginate on your data. Unlike SQL, the query language is based on JSON structure and is very flexible. It is very easy to combine and nest queries. You will also learn how to execute structured queries and full-text queries.

Elasticsearch is a search engine. When you run a query on Elasticsearch, each document in the result is given a relevance score. For example, you are looking for restaurant close by with decent prices, the relevance score in this case is a combination of distance and price. The results are ordered based on how relevant is each document to the query. You will learn the difference between sorting and scoring. You will learn how relevance is calculated and how to tune the relevance score.

We will...

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