Boolean and binary types in Elasticsearch - Mini Project: Build & Apply

Boolean and Binary Types in Elasticsearch

📖 Scenario: You are working with an Elasticsearch index to store information about electronic devices. Each device has a boolean field indicating if it is currently in stock, and a binary field storing a small image thumbnail in base64 format.

🎯 Goal: Create an Elasticsearch mapping with in_stock as a boolean type and thumbnail as a binary type. Then add a document with these fields and finally retrieve and display the stored document.

📋 What You'll Learn

Create an index mapping with in_stock as boolean type

Add thumbnail field as binary type in the mapping

Index a document with in_stock set to true and a sample base64 string for thumbnail

Retrieve and print the stored document

💡 Why This Matters

🌍 Real World

Storing device stock status and small images efficiently in Elasticsearch for quick searching and retrieval.

💼 Career

Understanding how to use boolean and binary types in Elasticsearch is important for roles involving search engine management, data indexing, and backend development.

1

Create the index mapping with boolean and binary fields

Create an Elasticsearch index called devices with a mapping that has a properties object containing in_stock as a boolean type and thumbnail as a binary type.

Elasticsearch

# Create the index mapping with boolean and binary fields
# Your code here

Need a hint?

Use the PUT method to create the index with the mappings property. Define in_stock as boolean and thumbnail as binary inside properties.

2

Index a document with boolean and binary values

Index a document into the devices index with in_stock set to true and thumbnail set to the base64 string "U29tZUJpbmFyeURhdGE=".

Elasticsearch

# Index a document with in_stock true and thumbnail base64 string
# Your code here

Need a hint?

Use PUT /devices/_doc/1 to add a document with the exact fields and values.

3

Retrieve the stored document

Retrieve the document with ID 1 from the devices index using the GET method.

Elasticsearch

# Retrieve the document with ID 1
# Your code here

Need a hint?

Use the GET method with the document ID to retrieve it.

4

Display the retrieved document

Print the retrieved document's _source field showing in_stock and thumbnail values.

Elasticsearch

# Print the _source field of the retrieved document
# Your code here

Need a hint?

The retrieved document's _source field contains the stored boolean and binary values.