Dis max query in Elasticsearch - Mini Project: Build & Apply

Dis max query

📖 Scenario: You are building a search feature for an online bookstore. You want to find books that match a search term in either the title or the author fields. You want Elasticsearch to return the best matching score from these fields, not the sum of scores.

🎯 Goal: Create a dis_max query in Elasticsearch that searches for the term "adventure" in the title and author fields, and returns the best score among these fields.

📋 What You'll Learn

Create a dis_max query with two match queries inside it

Search for the term "adventure" in the title field

Search for the term "adventure" in the author field

Set the tie_breaker parameter to 0.3

Print the final JSON query

💡 Why This Matters

🌍 Real World

Dis max queries help when you want to search multiple fields but only want the best matching score to affect the ranking, like searching books by title or author.

💼 Career

Understanding dis_max queries is useful for building efficient and relevant search features in Elasticsearch, a popular search engine used in many companies.

1

Create the base query structure

Create a variable called query and assign it an empty dictionary with a dis_max key containing an empty dictionary.

Elasticsearch

query = {
    "dis_max": {
        
    }
}
# Your code here

Need a hint?

Start by creating a dictionary named query with a dis_max key.

2

Add the queries list inside dis_max

Inside the dis_max dictionary in query, add a key called queries with an empty list as its value.

Elasticsearch

query = {
    "dis_max": {
        "queries": [
            
        ]
    }
}
# Your code here

Need a hint?

Add a queries key with an empty list inside the dis_max dictionary.

3

Add match queries for title and author

Add two match query dictionaries inside the queries list in query. The first should match the term "adventure" in the title field, and the second should match the term "adventure" in the author field.

Elasticsearch

query = {
    "dis_max": {
        "queries": [
            # Add match query for title here
            # Add match query for author here
        ]
    }
}
# Your code here

Need a hint?

Each query inside queries should be a dictionary with a match key.

4

Add tie_breaker and print the query

Add a tie_breaker key with the value 0.3 inside the dis_max dictionary in query. Then print the query variable.

Elasticsearch

query = {
    "dis_max": {
        "queries": [
            {"match": {"title": "adventure"}},
            {"match": {"author": "adventure"}}
        ],
        # Add tie_breaker here
    }
}

# Print the query
# Your code here

Need a hint?

Set tie_breaker to 0.3 and print the query dictionary.