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ElasticSearch Cookbook

You're reading from  ElasticSearch Cookbook

Product type Book
Published in Dec 2013
Publisher Packt
ISBN-13 9781782166627
Pages 422 pages
Edition 1st Edition
Languages
Author (1):
Alberto Paro Alberto Paro
Profile icon Alberto Paro

Table of Contents (19) Chapters

ElasticSearch Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Getting Started Downloading and Setting Up ElasticSearch Managing Mapping Standard Operations Search, Queries, and Filters Facets Scripting Rivers Cluster and Nodes Monitoring Java Integration Python Integration Plugin Development Index

Using a range query/filter


Searching/filtering by range is a very common scenario in a real world application. Some standard cases are as follows:

  • Filtering by range numeric value (that is, Price, size, ages, and so on)

  • Filtering by date (that is, events of 03/07/12 can be a range query from 03/07/12 00:00:00 and 03/07/12 24:59:59)

  • Filtering by term (that is, from A to D)

Getting ready

You need a working ElasticSearch cluster, an index "test" (refer to the next chapter to learn how to create an index), and basic knowledge of JSON.

How to do it...

For executing a range query/filter, we need to perform the following step:

  1. Considering the sample data of previous examples which contains an integer field position. Using it to execute a query for filtering positions between 3 and 5, we will have:

    curl -XPOST 'http://127.0.0.1:9200/test-index/test-type/_search' -d '{
        "query": {
            "filtered": {
                "filter": {
                    "range" : {
                      "position" : { 
                  ...
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