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  • Book Overview & Buying ElasticSearch Cookbook
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ElasticSearch Cookbook

ElasticSearch Cookbook - Second Edition

By : Alberto Paro
4.1 (7)
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ElasticSearch Cookbook

ElasticSearch Cookbook

4.1 (7)
By: Alberto Paro

Overview of this book

If you are a developer who implements ElasticSearch in your web applications and want to sharpen your understanding of the core elements and applications, this is the book for you. It is assumed that you’ve got working knowledge of JSON and, if you want to extend ElasticSearch, of Java and related technologies.
Table of Contents (14 chapters)
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13
Index

Mapping arrays

An array or a multivalue field is very common in data models (such as multiple phone numbers, addresses, names, aliases, and so on), but it is not natively supported in traditional SQL solutions.

In SQL, multivalue fields require the creation of accessory tables that must be joined in order to gather all the values, leading to poor performance when the cardinality of records is huge.

ElasticSearch, which works natively in JSON, provides support for multivalue fields transparently.

Getting ready

You need a working ElasticSearch cluster.

How to do it...

Every field is automatically managed as an array. For example, in order to store tags for a document, this is how the mapping must be:

{
  "document" : {
    "properties" : {
      "name" : {"type" : "string",  "index":"analyzed"},"tag" : {"type" : "string", "store" : "yes" , "index":"not_analyzed&quot...
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Tech Concepts
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Programming languages
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ElasticSearch Cookbook
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