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Sure, I'd be happy to help you with a tutorial on connecting AWS Lambda to DynamoDB using Python. Below is a step-by-step guide along with code examples.
AWS Account: Make sure you have an AWS account. If not, you can create one at AWS Console.
AWS CLI: Install and configure the AWS Command Line Interface. You can download it here.
Boto3 Library: Boto3 is the Amazon Web Services (AWS) Software Development Kit (SDK) for Python. It allows Python developers to write software that makes use of services like Amazon S3 and Amazon EC2. Install it using the following:
Open the AWS DynamoDB Console.
Click on "Create table."
Provide a table name, primary key, and configure other settings as needed.
Click "Create table."
Open the AWS IAM Console.
Click "Roles" on the left sidebar.
Click "Create role."
Select "AWS Lambda" as the use case.
Attach a policy like AmazonDynamoDBFullAccess to the role.
Review and name the role, then click "Create role."
Create a Python script for your Lambda function. Below is a simple example:
Zip your Python script and dependencies (if any).
Open the AWS Lambda Console.
Click "Create function."
Configure the basic settings:
Click "Create function."
Upload the zip file containing your Python script and dependencies in the "Function code" section.
Configure the Lambda handler. In most cases, the default lambda_function.lambda_handler is sufficient.
Save the changes.
In the Lambda Console, click on the "Test" button.
Provide a test event (can be a simple JSON object).
Click "Test."
You've successfully created a Lambda function connected to DynamoDB using Python. You can now trigger this Lambda function in various ways, such as through API Gateway, CloudWatch Events, or other AWS services. Customize the Lambda function code according to your specific use case.
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