Search performance tuning in Elasticsearch - Mini Project: Build & Apply

Search Performance Tuning in Elasticsearch

📖 Scenario: You are working on a website that uses Elasticsearch to help users find products quickly. Sometimes, the search results are slow because the queries are not optimized. You want to improve the speed of search queries by tuning the Elasticsearch settings and queries.

🎯 Goal: Build a simple Elasticsearch query and tune it step-by-step to improve search performance by using filters, limiting fields, and sorting efficiently.

📋 What You'll Learn

Create an Elasticsearch index with sample product data

Add a filter to the search query to reduce the search scope

Limit the fields returned by the query to only necessary ones

Sort the search results efficiently and print the final query

💡 Why This Matters

🌍 Real World

Optimizing search queries in Elasticsearch helps websites and apps deliver faster and more relevant search results to users, improving user experience.

💼 Career

Many jobs in data engineering, backend development, and DevOps require knowledge of Elasticsearch tuning to handle large-scale search systems efficiently.

1

Create the Elasticsearch index with sample data

Create an Elasticsearch index called products with the following sample documents: {"id": 1, "name": "Red Shirt", "category": "clothing", "price": 29.99}, {"id": 2, "name": "Blue Jeans", "category": "clothing", "price": 49.99}, and {"id": 3, "name": "Coffee Mug", "category": "kitchen", "price": 9.99}. Use the bulk API format for indexing.

Elasticsearch

# Your code here to create the index and add the sample documents using bulk API

Need a hint?

Use the Elasticsearch bulk API format with { "index": { "_id": X } } lines followed by the document JSON.

2

Add a filter to the search query

Create a search query that filters products to only those in the clothing category using a term filter inside a bool query. Assign this query to a variable called search_query.

Elasticsearch

POST /products/_search
# Your code here to create search_query with a bool filter for category 'clothing'

Need a hint?

Use a bool query with a filter clause containing a term query for the category.

3

Limit the fields returned by the query

Modify the search_query to include a _source field that only returns id, name, and price fields to reduce data size.

Elasticsearch

POST /products/_search
# Your code here to add _source filtering for id, name, and price

Need a hint?

Add the _source key at the top level of the query JSON with a list of fields to return.

4

Sort the search results by price ascending

Add a sort clause to the search_query that sorts the results by price in ascending order. Then print the entire final query JSON.

Elasticsearch

POST /products/_search
# Your code here to add sorting by price ascending and print the final query

Need a hint?

Add a sort key with a list containing a dictionary for price ascending order.