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Elasticsearch 5.x Cookbook

You're reading from   Elasticsearch 5.x Cookbook Distributed Search and Analytics

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Length 696 pages
Edition 3rd Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Table of Contents (25) Chapters Close

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Getting Started FREE CHAPTER 2. Downloading and Setup 3. Managing Mappings 4. Basic Operations 5. Search 6. Text and Numeric Queries 7. Relationships and Geo Queries 8. Aggregations 9. Scripting 10. Managing Clusters and Nodes 11. Backup and Restore 12. User Interfaces 13. Ingest 14. Java Integration 15. Scala Integration 16. Python Integration 17. Plugin Development 18. Big Data Integration

Using the exists query


One of the main characteristics of Elasticsearch is schema-less indexing capability. Records in Elasticsearch can have missing values. Due to its schema-less nature, two kinds of queries are required:

  • Exists field: This is used to check if a field exists in a document

  • Missing field: This is used to check if a field is missing

Getting ready

You need an up-and-running Elasticsearch installation as we described in the Downloading and installing Elasticsearch recipe in Chapter 2, Downloading and Setup.

To execute curl via the command line, you need to install curl for your operative system.

To correctly execute the following commands, you need an index populated with the chapter_05/populate_query.sh script available in the online code.

How to do it...

For executing existing and missing filters, we will perform the following steps:

  1. To search all the test-type documents that have a field called parsedtext, the query will be:

            curl -XPOST 'http://127.0.0.1:9200/test-index/test...
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