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ElasticSearch Blueprints

You're reading from   ElasticSearch Blueprints A practical project-based guide to generating compelling search solutions using the dynamic and powerful features of Elasticsearch

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Product type Paperback
Published in Jul 2015
Publisher Packt
ISBN-13 9781783984923
Length 192 pages
Edition 1st Edition
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Toc

Table of Contents (10) Chapters Close

Preface 1. Google-like Web Search 2. Building Your Own E-Commerce Solution FREE CHAPTER 3. Relevancy and Scoring 4. Managing Relational Content 5. Analytics Using Elasticsearch 6. Improving the Search Experience 7. Spicing Up a Search Using Geo 8. Handling Time-based Data Index

The holy box of search


A holy box of search is a text input box, where you can type all the constraints that you want to search.

For example, if I want to search on a news database for news that has the word "India" in its title, the word "occupation" in its content, is dated between 1990 to 1992, and whose author is Shiv Shankar, I should swiftly be able to search this in the following way:

Title:India AND Content:occupation AND date:[1900-01-01 TO 1992-01-01] AND author:"Shiv Shankar" 

For this kind of a search, the query string query is the weapon of our choice.

It gives us a variety of search options, which can be written as plain text. These features are discussed in the next section.

The field search

You can specify a particular field by the field:value notation. If you don't specify any field, the search takes place on _all, and if you have mentioned the field as the default_field option under query_string_query, would be taken.

The number/date range search

Using the following notation, you...

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