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Define and Use a Search Template in Elasticsearch
The search API in Elasticsearch is a very powerful tool to extract just what you're looking for from vast amounts of data. However, if you were to use Elasticsearch as a backend search engine for an application or a website, you can't expect your users to know how to craft search queries in Elasticsearch. Search templates allow a developer to create a complex search and abstract all the search terms into parameters. Then, all the developer has to do is request the parameters from the user and execute the templated search query with the user-provided values. In this hands-on lab, you will exercise the following: * Create a search template and abstract various search terms * Execute a search using a saved search template

Lab Info
Table of Contents
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Challenge
Create and store the search template as per instructions.
Use the Kibana console tool to execute the following:
POST _scripts/shakespeare_text_search { "script": { "lang": "mustache", "source": { "query": { "match": { "text_entry": "{{text}}" } }, "from": "{{ page }}{{^page}}0{{/page}}", "size": "{{ size }}{{^size}}25{{/size}}" } } }
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Challenge
Execute a search on the search template.
Use the Kibana console tool to execute the following:
GET _search/template { "id": "shakespeare_text_search", "params": { "text": "love", "page": 5, "size": 100 } }
About the author
Real skill practice before real-world application
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
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