Why indexes organize data in Elasticsearch - See It in Action

Why Indexes Organize Data in Elasticsearch

📖 Scenario: You are working with Elasticsearch, a tool that helps you search and organize lots of information quickly. To do this, Elasticsearch uses something called an index. Think of an index like a big, organized filing cabinet that stores your data so you can find what you need fast.

🎯 Goal: You will create a simple Elasticsearch index with some data, set a configuration for the index, write a query to find specific data, and then display the results. This will help you understand how indexes organize data to make searching easy and fast.

📋 What You'll Learn

Create an Elasticsearch index called library with three books and their authors

Add a configuration setting to the index to specify the number of shards as 1

Write a query to find books where the author is "Jane Austen"

Print the titles of the books found by the query

💡 Why This Matters

🌍 Real World

Indexes in Elasticsearch help companies quickly find information in large collections of data, like searching products in an online store or articles in a news website.

💼 Career

Understanding how to create and query indexes is important for roles like data engineers, backend developers, and search specialists who work with search engines and big data.

1

Create the Elasticsearch index with data

Create an Elasticsearch index called library and add these three books with their authors as documents: {"title": "Pride and Prejudice", "author": "Jane Austen"}, {"title": "1984", "author": "George Orwell"}, and {"title": "Emma", "author": "Jane Austen"}.

Elasticsearch

# Use the Elasticsearch Python client to create the index and add documents
# Your code here

Need a hint?

Use es.index() to add each book to the library index with a unique id.

2

Add index configuration for shards

Add a configuration to the library index to set the number of shards to 1 when creating it.

Elasticsearch

from elasticsearch import Elasticsearch

es = Elasticsearch()

# Create the index 'library' with 1 shard
# Your code here

Need a hint?

Use es.indices.create() with a settings dictionary to set number_of_shards to 1.

3

Write a query to find books by Jane Austen

Write a query using es.search() to find all books in the library index where the author is "Jane Austen".

Elasticsearch

from elasticsearch import Elasticsearch

es = Elasticsearch()

# Search for books by Jane Austen
# Your code here

Need a hint?

Use a match query inside es.search() to find documents where author is "Jane Austen".

4

Print the titles of the found books

Print the titles of the books found in the search result stored in result.

Elasticsearch

from elasticsearch import Elasticsearch

es = Elasticsearch()

# Print the titles of books found in the result
# Your code here

Need a hint?

Loop over result["hits"]["hits"] and print each document's title from _source.