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Labs

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

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Labs

Path Info

Level
Clock icon Advanced
Duration
Clock icon 2h 0m
Published
Clock icon Jan 10, 2020

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Table of Contents

  1. 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}}"
        }
      }
    }
    
  2. 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
      }
    }
    

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