Indexing a document (POST/PUT) in Elasticsearch - Mini Project: Build & Apply

Indexing a Document in Elasticsearch

📖 Scenario: You work at a company that stores product information in Elasticsearch. You need to add new products to the Elasticsearch index so they can be searched later.

🎯 Goal: Learn how to index a document in Elasticsearch using the POST and PUT methods.

📋 What You'll Learn

Create a JSON document representing a product with specific fields

Set the index name in a variable

Use the POST method to add a new product document without specifying an ID

Use the PUT method to add a product document with a specific ID

Print the JSON response from Elasticsearch

💡 Why This Matters

🌍 Real World

Indexing documents is how search engines like Elasticsearch store data so users can find it quickly.

💼 Career

Knowing how to add and update documents in Elasticsearch is essential for backend developers and data engineers working with search and analytics.

1

Create the product document

Create a JSON object called product with these exact fields and values: "name": "Wireless Mouse", "price": 25.99, "in_stock": true.

Elasticsearch

# Create the product JSON object
# Your code here

Need a hint?

Use Python dictionary syntax to create the product object.

2

Set the index name

Create a variable called index_name and set it to the string "products".

Elasticsearch

product = {
    "name": "Wireless Mouse",
    "price": 25.99,
    "in_stock": True
}

# Set the index name
# Your code here

Need a hint?

Assign the string "products" to the variable index_name.

3

Index the product using POST

Use the requests library to send a POST request to http://localhost:9200/{index_name}/_doc with the product JSON as the body. Store the response in a variable called response_post. Use json=product in the request.

Elasticsearch

import requests

product = {
    "name": "Wireless Mouse",
    "price": 25.99,
    "in_stock": True
}

index_name = "products"

# Send POST request to index the product
# Your code here

Need a hint?

Use requests.post with the URL and json=product to send the data.

4

Index the product using PUT with ID and print response

Send a PUT request to http://localhost:9200/{index_name}/_doc/1001 with the product JSON as the body. Store the response in response_put. Then print the JSON response from response_put using print(response_put.json()).

Elasticsearch

import requests

product = {
    "name": "Wireless Mouse",
    "price": 25.99,
    "in_stock": True
}

index_name = "products"

response_post = requests.post(f"http://localhost:9200/{index_name}/_doc", json=product)

# Send PUT request with ID 1001 and print the response JSON
# Your code here

Need a hint?

Use requests.put with the URL including 1001 as the document ID. Then print the JSON response.