Search Data in Elasticsearch

1 hour
  • 4 Learning Objectives

About this Hands-on Lab

Knowing how to index data in Elasticsearch is important, but knowing how to ask the data precise questions is even more crucial. Whether you are using Elasticsearch for site search, product search, operational analytics, or business intelligence, knowing how to formulate search queries is vital to deriving value from all that data you’ve managed to collect. In this hands-on lab, you will get to perform a series of term-level and full-text search queries.

Learning Objectives

Successfully complete this lab by achieving the following learning objectives:

Create a search query that meets the requirements of Query 1.

Use the Kibana console tool to execute the following:

GET shakespeare/_search
{
  "query": {
    "term": {
      "speaker.keyword": {
        "value": "ROMEO"
      }
    }
  }
}
Create a search query that meets the requirements of Query 2.

Use the Kibana console tool to execute the following:

GET shakespeare/_search
{
  "size": 25, 
  "query": {
    "terms": {
      "play_name.keyword": [
        "Henry VI Part 1",
        "Henry VI Part 2",
        "Henry VI Part 3"
      ]
    }
  }
}
Create a search query that meets the requirements of Query 3.

Use the Kibana console tool to execute the following:

GET shakespeare/_search
{
  "size": 5, 
  "query": {
    "match": {
      "text_entry": "London"
    }
  }
}
Create a search query that meets the requirements of Query 4.

Use the Kibana console tool to execute the following:

GET shakespeare/_search
{
  "query": {
    "match_phrase": {
      "text_entry": "O Romeo"
    }
  }
}

Additional Resources

You work as an Elasticsearch consultant and have been hired by a local university looking to implement Elasticsearch for literary research. The team you are working with is creating a UI that will enable students to perform search analysis on various works of literature. The test setup you are working with is a 3-node Elasticsearch cluster loaded with the complete works of Shakespeare. In order for the UI to display the desired search results, you must help the team come up with a few search requests that meet the following requirements:

Query 1:

A term-level search where the speaker is "ROMEO".

Query 2:

A term-level search that returns the first 25 results where the play name is "Henry VI Part 1", Henry VI Part 2", or "Henry VI Part 3".

Query 3:

A full-text search that returns the first 5 results where the text entry contains the word "London".

Query 4:

A full-text search where the text entry contains the phrase "O Romeo".

Your master-1 node has an Kibana instance which can be accessed in your local web browser by navigating to the public IP address of the master-1 node over port 8080 (example: http://public_ip:8080). To log in, use the elastic user with the password elastic_566.

What are Hands-on Labs

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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