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ElasticSearch Blueprints

You're reading from  ElasticSearch Blueprints

Product type Book
Published in Jul 2015
Publisher Packt
ISBN-13 9781783984923
Pages 192 pages
Edition 1st Edition
Languages

Table of Contents (15) Chapters

Elasticsearch Blueprints
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Google-like Web Search Building Your Own E-Commerce Solution Relevancy and Scoring Managing Relational Content Analytics Using Elasticsearch Improving the Search Experience Spicing Up a Search Using Geo Handling Time-based Data Index

Choosing between a query and a filter


The basic idea of a search is to narrow down on a subset of documents that you have. In the Elasticsearch context, this means that based on various conditions, you might want to select a set of documents from an index or a set of index. A query and filter facilitate this for you.

If you have already gone through the reference guide or some other documentation of Elasticsearch, you might have noticed that the same set of operations might be available for both queries and filters. So, what are the differentiating factors of a query and filter even when the set of operations given by them are almost the same? Let's find out.

In a query, a matched document can be a better match than another matched document. In a filter, all the matched documents are treated equally.

This means that there is a way to score or rank a document matched against a query to another document match. This is done by computing a score value that tells you how good a match a particular...

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