Numeric field types in Elasticsearch - Mini Project: Build & Apply

Numeric Field Types in Elasticsearch

📖 Scenario: You are setting up an Elasticsearch index to store product information. Each product has a price and a quantity in stock. You want to use the correct numeric field types to store these values efficiently and correctly.

🎯 Goal: Create an Elasticsearch index mapping that defines numeric fields for price and quantity. Then add a document with sample values and retrieve it to see the stored data.

📋 What You'll Learn

Create an index mapping with price as a float field

Create an index mapping with quantity as an integer field

Index a sample document with price 19.99 and quantity 100

Retrieve and print the stored document

💡 Why This Matters

🌍 Real World

Numeric fields in Elasticsearch are used to store numbers like prices, quantities, and IDs efficiently. Choosing the right numeric type helps with performance and storage.

💼 Career

Understanding numeric field types is important for roles like data engineers, backend developers, and search specialists who design and maintain Elasticsearch indexes.

1

Create the index mapping with numeric fields

Create an index mapping called products with a properties object that defines price as a float field and quantity as an integer field.

Elasticsearch

{
  "mappings": {
    "properties": {
      // Define price and quantity fields here
    }
  }
}

Need a hint?

Use "type": "float" for price and "type": "integer" for quantity inside properties.

2

Add a sample document to the index

Create a JSON document with price set to 19.99 and quantity set to 100 to index into the products index.

Elasticsearch

{
  "price": 0.0,
  "quantity": 0
  // Your code here
}

Need a hint?

Set "price" to 19.99 and "quantity" to 100 in the document.

3

Index the document using Elasticsearch API

Use the Elasticsearch index API to add the document with price 19.99 and quantity 100 to the products index.

Elasticsearch

// Use the index API call here
// Your code here

Need a hint?

Use PUT /products to create the index and PUT /products/_doc/1 to add the document.

4

Retrieve and print the stored document

Use the Elasticsearch GET API to retrieve the document with ID 1 from the products index and print the _source field showing price and quantity.

Elasticsearch

// Use GET API to retrieve document and print _source
// Your code here

Need a hint?

Use GET /products/_doc/1 to retrieve the document and check the _source field.