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Learning Elasticsearch

You're reading from   Learning Elasticsearch Structured and unstructured data using distributed real-time search and analytics

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787128453
Length 404 pages
Edition 1st Edition
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Author (1):
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Abhishek Andhavarapu Abhishek Andhavarapu
Author Profile Icon Abhishek Andhavarapu
Abhishek Andhavarapu
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Elasticsearch FREE CHAPTER 2. Setting Up Elasticsearch and Kibana 3. Modeling Your Data and Document Relations 4. Indexing and Updating Your Data 5. Organizing Your Data and Bulk Data Ingestion 6. All About Search 7. More Than a Search Engine (Geofilters, Autocomplete, and More) 8. How to Slice and Dice Your Data Using Aggregations 9. Production and Beyond 10. Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Sample data

To better explain the various concepts in this chapter, we will use the e-commerce site as an example. We will create an index with a list of products. This will be a very simple index called chapter6 with type called product. The mapping for the product type is shown here:

 #Delete existing index if any
DELETE chapter6

#Mapping
PUT chapter6
{
"settings": {},
"mappings": {
"product": {
"properties": {
"product_name": {
"type": "text",
"analyzer": "english"
},
"description" : {
"type": "text",
"analyzer": "english"
}
}
}
}
}

For the product_name and description fields, the English analyzer will be used instead of the default standard...

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