The right way to Create a DynamoDB Desk and Add Gadgets to it utilizing Python 3 from Lambda

To create a DynamoDB desk and add gadgets to it utilizing Python 3 from AWS Lambda, you need to use the AWS SDK for Python, often known as Boto3. Right here’s a step-by-step information:

1. Arrange your AWS atmosphere:
   • Set up Boto3 by working pip set up boto3 in your native improvement atmosphere.
   • Arrange your AWS credentials and configure your AWS CLI or atmosphere variables. Yow will discover detailed directions within the AWS documentation.
2. Create a Lambda operate within the AWS Administration Console:
   • Go to the AWS Administration Console and navigate to the Lambda service.
   • Click on on “Create operate” and comply with the directions to create a brand new Lambda operate.
   • Select the specified runtime as Python 3.x.
3. Write the Python code to create the DynamoDB desk and add gadgets:
   • Within the Lambda operate code editor, enter the next code:

import boto3

def lambda_handler(occasion, context):
    # Create a DynamoDB shopper
    dynamodb = boto3.shopper('dynamodb')

    # Outline the desk title and schema
    table_name = 'YourTableName'
    table_schema = [
        {
            'AttributeName': 'ID',
            'AttributeType': 'N'
        },
        {
            'AttributeName': 'Name',
            'AttributeType': 'S'
        }
    ]

    # Create the DynamoDB desk
    dynamodb.create_table(
        TableName=table_name,
        KeySchema=[
            {
                'AttributeName': 'ID',
                'KeyType': 'HASH'
            }
        ],
        AttributeDefinitions=table_schema,
        ProvisionedThroughput={
            'ReadCapacityUnits': 5,
            'WriteCapacityUnits': 5
        }
    )

    # Look ahead to the desk to be created
    dynamodb.get_waiter('table_exists').wait(TableName=table_name)

    # Add gadgets to the desk
    gadgets = [
        {
            'ID': {'N': '1'},
            'Name': {'S': 'Item 1'}
        },
        {
            'ID': {'N': '2'},
            'Name': {'S': 'Item 2'}
        }
    ]

    with dynamodb.batch_writer(TableName=table_name) as batch:
        for merchandise in gadgets:
            batch.put_item(Merchandise=merchandise)

    return {
        'statusCode': 200,
        'physique': 'DynamoDB desk created and gadgets added efficiently.'
    }

4. Configure the Lambda operate:
   • Within the AWS Lambda operate configuration, specify the next:
     • Handler: Enter the title of the Python file and the lambda_handler operate. For instance, filename.lambda_handler.
     • Runtime: Python 3.x.
     • Timeout: Set an applicable timeout primarily based on the anticipated execution time of your code.
     • Function: Select or create an execution function with applicable DynamoDB permissions.
5. Save and check the Lambda operate:
   • Save the Lambda operate by clicking on the “Save” button.
   • Take a look at the operate by clicking on the “Take a look at” button and configuring a check occasion.
   • Monitor the execution logs and test for any errors or exceptions.

Whenever you invoke the Lambda operate, it is going to create a DynamoDB desk with the required schema and add the gadgets to it utilizing a batch write operation. Make sure that to exchange 'YourTableName' with the specified title on your DynamoDB desk.

Make sure that the IAM function assigned to the Lambda operate has the required permissions to create and write to DynamoDB tables.