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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 the match query


ElasticSearch provides a helper to build complex span queries, which depends on simple preconfigured settings. This helper is called the match query.

Getting ready

You need a working ElasticSearch cluster.

How to do it...

For executing a match query, we need to perform the following steps:

  1. The standard usage of a match query simply requires the field name and the query text. For example:

    curl -XPOST 'http://127.0.0.1:9200/test-index/test-type/_search' -d '{
        "query": {
            "match" : {
                "parsedtext" : "nice guy",
                "operator": "and"
            }
        }
    }'
  2. If you need to execute the same query as a phrase query, the type from match changes to match_phrase, as given in the following code:

    curl -XPOST 'http://127.0.0.1:9200/test-index/test-type/_search' -d '{
        "query": {
            "match_phrase" : {
                "parsedtext" : "nice guy"
            }
        }
    }'
  3. An extension of the previous query used in text completion or the "search as you type" functionality...

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