Saved searches and filters in Elasticsearch - Mini Project: Build & Apply

Saved searches and filters

📖 Scenario: You work at a company that stores product data in Elasticsearch. You want to save common searches and filters to quickly find products later.

🎯 Goal: Build saved search queries with filters in Elasticsearch JSON format.

📋 What You'll Learn

Create an Elasticsearch query with a match_all base

Add a filter for products with price less than 100

Save the filter as a named filter called 'cheap_products'

Print the final saved search JSON

💡 Why This Matters

🌍 Real World

Saved searches and filters help users quickly find relevant data without rewriting queries every time.

💼 Career

Elasticsearch developers and data engineers often create and manage saved searches and filters for efficient data retrieval.

1

Create the base query

Create a variable called saved_search and set it to an Elasticsearch query JSON with a query key containing {"match_all": {}}.

Elasticsearch

# Create a variable called saved_search with a match_all query
# Your code here

Need a hint?

Use a dictionary with keys 'query' and inside it 'match_all' with an empty object.

2

Add a price filter

Add a post_filter key at the top level of saved_search with a range filter on price less than 100. Use the exact structure: {"range": {"price": {"lt": 100}}}.

Elasticsearch

saved_search = {
    "query": {
        "match_all": {}
    }
}
# Add a post_filter for price less than 100 at the top level
# Your code here

Need a hint?

Use the post_filter key at the top level with the range filter inside.

3

Save the filter as a named filter

Wrap the filter inside a bool query with a filter list containing the range filter. Name the filter cheap_products by adding "_name": "cheap_products" inside the range filter. Update saved_search["query"] to this new bool query.

Elasticsearch

saved_search = {
    "query": {
        "match_all": {}
    },
    "post_filter": {
        "range": {
            "price": {
                "lt": 100
            }
        }
    }
}
# Update saved_search["query"] to a bool filter with named filter 'cheap_products'
# Your code here

Need a hint?

Use a bool query with a filter list and add the _name key inside the range filter.

4

Print the saved search JSON

Print the saved_search variable to display the final saved search JSON.

Elasticsearch

saved_search = {
    "query": {
        "bool": {
            "filter": [
                {
                    "range": {
                        "price": {
                            "lt": 100,
                            "_name": "cheap_products"
                        }
                    }
                }
            ]
        }
    },
    "post_filter": {
        "range": {
            "price": {
                "lt": 100
            }
        }
    }
}
# Print the saved_search variable
# Your code here

Need a hint?

Use print(saved_search) to show the JSON.