Term query in Elasticsearch - Mini Project: Build & Apply

Elasticsearch Term Query Basics

📖 Scenario: You are working with an Elasticsearch index that stores information about books in a library. Each book has fields like title, author, and genre.Your task is to find books that exactly match a specific genre using a term query.

🎯 Goal: Build an Elasticsearch term query to find all books where the genre field exactly matches the value "Science Fiction".

📋 What You'll Learn

Create an Elasticsearch index mapping with fields: title, author, and genre.

Add a configuration variable for the genre to search for, named search_genre with the value "Science Fiction".

Write a term query that searches the genre field for the exact value in search_genre.

Complete the query JSON structure to be ready for execution.

💡 Why This Matters

🌍 Real World

Searching for exact matches in a large collection of documents, such as finding books by genre in a library database.

💼 Career

Understanding term queries is essential for roles involving search engine development, data indexing, and backend search optimization.

1

Create the Elasticsearch index mapping

Create a JSON object called index_mapping that defines an Elasticsearch index mapping with fields title, author, and genre, all of type keyword.

Elasticsearch

# Create the index mapping JSON object
# Your code here

Need a hint?

Use a dictionary with mappings and properties keys. Set each field's type to keyword.

2

Add the search genre variable

Create a variable called search_genre and set it to the string "Science Fiction".

Elasticsearch

index_mapping = {
  "mappings": {
    "properties": {
      "title": { "type": "keyword" },
      "author": { "type": "keyword" },
      "genre": { "type": "keyword" }
    }
  }
}

# Create the search_genre variable
# Your code here

Need a hint?

Assign the exact string "Science Fiction" to the variable search_genre.

3

Write the term query

Create a JSON object called term_query that uses a term query to search the genre field for the exact value stored in search_genre.

Elasticsearch

index_mapping = {
  "mappings": {
    "properties": {
      "title": { "type": "keyword" },
      "author": { "type": "keyword" },
      "genre": { "type": "keyword" }
    }
  }
}

search_genre = "Science Fiction"

# Create the term_query JSON object
# Your code here

Need a hint?

Use the term key inside query and set the genre field to the variable search_genre.

4

Complete the query JSON structure

Add a size field to the term_query JSON object and set it to 10 to limit the number of results returned.

Elasticsearch

index_mapping = {
  "mappings": {
    "properties": {
      "title": { "type": "keyword" },
      "author": { "type": "keyword" },
      "genre": { "type": "keyword" }
    }
  }
}

search_genre = "Science Fiction"

term_query = {
  "query": {
    "term": {
      "genre": search_genre
    }
  }
}

# Add the size field to term_query
# Your code here

Need a hint?

Add the size key at the top level of term_query and set it to 10.