Question 234031 in Amazon Web Sevices Question posted in
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Amazon web services – Error in Table Creation in DynamoDB using Python Visual Studio

I tried creating a table in Dynamo DB using Python Visual Studio, but I have been getting this error message:

"An error occurred (IncompleteSignatureException) when calling the CreateTable 
operation: 'AWS' not a valid key=value pair (missing equal-sign) in Authorization 
header: 'AWS4-HMAC-SHA256 Credential=XXXX AWS Secret Access Key [None]:XXX

Please can someone help me with how to navigate through this error.

I have tried disabling my AWS users account, and also enabling console access, but neither worked.

It seems I have to add a key to my code, but I dont know how to go about it.

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2

Answers


  1. 0

    To resolve this issue, make sure you’re providing the correct AWS credentials in your Python code. You should set up your AWS Access Key ID and Secret Access Key, and use them to authenticate your API calls to DynamoDB. The credentials should be passed in the Authorization header of your API request.

    Ensure that you have the AWS SDK for Python (Boto3) installed and properly configured with your credentials. You can initialize the DynamoDB client with your credentials like this:

    import boto3

dynamodb = boto3.client('dynamodb', region_name='your_region',
                    aws_access_key_id='your_access_key',
                    aws_secret_access_key='your_secret_key')
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  2. 0

    The error you’re seeing is due to an incorrect signing process of the request you’re sending to DynamoDB. This is typically because of an incorrect or missing AWS secret access key, access key ID, or region configuration.

    When using AWS SDKs, including Boto3 for Python, credentials can be sourced from multiple locations, including:

    1. Environment variables.
    2. AWS configuration files (created by aws configure command).
    3. AWS credentials file.
    4. IAM roles for Amazon EC2 instances.
    5. In code itself (not recommended for production).

    Let’s break down the solutions:

    Solution 1: Using Environment Variables

    Ensure that you have set the AWS credentials and default region as environment variables:

    export AWS_ACCESS_KEY_ID='YOUR_ACCESS_KEY'
export AWS_SECRET_ACCESS_KEY='YOUR_SECRET_KEY'
export AWS_DEFAULT_REGION='us-west-1'  # change this to your region

    Solution 2: Using AWS Configuration and Credentials File

    1. Make sure you have the AWS CLI installed and configured with aws configure.

    2. This command will save your credentials in two files at ~/.aws/credentials and ~/.aws/config on Linux, macOS, or Unix, or C:UsersUSERNAME.awscredentials and C:UsersUSERNAME.awsconfig on Windows.

    3. Boto3 will automatically use these files for authentication.

    Solution 3: Setting Credentials in Your Code

    Although it’s not recommended to hard-code AWS credentials in your code, especially for production applications, it’s sometimes useful for quick testing.

    import boto3

session = boto3.Session(
    aws_access_key_id='YOUR_ACCESS_KEY',
    aws_secret_access_key='YOUR_SECRET_KEY',
    region_name='us-west-1'  # change this to your region
)

dynamodb = session.resource('dynamodb')

    Solution 4: Verify IAM Permissions

    Ensure the IAM user whose credentials you’re using has the right permissions for creating tables in DynamoDB.

    Solution 5: Check SDK Version

    Ensure you’re using a recent version of the Boto3 library. Older versions may not be compatible with certain AWS services or features. Upgrade Boto3 with:

    pip install boto3 --upgrade
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