Boto3 (Python) client vs resource in DynamoDB - Hands-On Comparison

Using Boto3 Client and Resource with DynamoDB

📖 Scenario: You are working on a simple inventory system that stores product information in an AWS DynamoDB table. You want to learn how to interact with DynamoDB using Boto3's client and resource interfaces in Python.

🎯 Goal: Build a Python script that creates a DynamoDB table structure in memory, sets up a configuration variable for the table name, uses both Boto3 client and resource to put and get an item, and completes the script with a final confirmation variable.

📋 What You'll Learn

Create a dictionary called product_item with keys 'ProductId' and 'Name' and values '101' and 'Notebook' respectively.

Create a variable called table_name and set it to 'Products'.

Use Boto3 client to put product_item into the DynamoDB table named table_name.

Use Boto3 resource to get the item with ProductId '101' from the same table.

Create a variable called operation_complete and set it to True to indicate the script finished.

💡 Why This Matters

🌍 Real World

Many applications use AWS DynamoDB to store and retrieve data. Knowing how to use Boto3 client and resource interfaces helps developers interact with DynamoDB efficiently.

💼 Career

Understanding Boto3 client vs resource is important for AWS developers, cloud engineers, and backend developers working with AWS services.

1

DATA SETUP: Create the product item dictionary

Create a dictionary called product_item with these exact entries: 'ProductId': '101' and 'Name': 'Notebook'.

DynamoDB

# Create the product_item dictionary with ProductId and Name
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with the exact keys and values.

2

CONFIGURATION: Set the DynamoDB table name

Create a variable called table_name and set it to the string 'Products'.

DynamoDB

product_item = {'ProductId': '101', 'Name': 'Notebook'}
# Set the table_name variable to 'Products'
# Your code here

Need a hint?

Assign the string 'Products' to the variable table_name.

3

CORE LOGIC: Use Boto3 client and resource to put and get item

Import boto3. Create a dynamodb_client using boto3.client('dynamodb'). Use dynamodb_client.put_item to put product_item into the table named table_name. Then create a dynamodb_resource using boto3.resource('dynamodb'). Use dynamodb_resource.Table(table_name).get_item to get the item with Key={'ProductId': '101'}.

DynamoDB

product_item = {'ProductId': '101', 'Name': 'Notebook'}
table_name = 'Products'
# Import boto3 and create dynamodb_client
# Use dynamodb_client.put_item to add product_item to table_name
# Create dynamodb_resource and get the item with ProductId '101'
# Your code here

Need a hint?

Remember that put_item with client requires the item attributes to be typed as {'S': 'value'} for strings.

4

COMPLETION: Add a final confirmation variable

Create a variable called operation_complete and set it to True to indicate the script finished successfully.

DynamoDB

import boto3

product_item = {'ProductId': '101', 'Name': 'Notebook'}
table_name = 'Products'

dynamodb_client = boto3.client('dynamodb')
dynamodb_client.put_item(TableName=table_name, Item={'ProductId': {'S': '101'}, 'Name': {'S': 'Notebook'}})

dynamodb_resource = boto3.resource('dynamodb')
table = dynamodb_resource.Table(table_name)
response = table.get_item(Key={'ProductId': '101'})
# Set operation_complete to True
# Your code here

Need a hint?

Simply assign True to the variable operation_complete.