Get Instant Solutions for Kubernetes, Databases, Docker and more
AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. It executes your code only when needed and scales automatically, from a few requests per day to thousands per second. Lambda is designed to handle various workloads, including data processing, real-time file processing, and backend services.
When deploying a Lambda function, you might encounter the InvalidZipFileException
. This error indicates that the uploaded ZIP file containing your Lambda function code is either invalid or corrupted.
The error message typically reads: InvalidZipFileException: The uploaded ZIP file is invalid or corrupted.
This message appears during the deployment process, either via the AWS Management Console, AWS CLI, or SDKs.
The InvalidZipFileException
occurs when the Lambda service cannot read or extract the contents of the uploaded ZIP file. This can happen due to several reasons, such as incorrect file structure, unsupported file format, or corruption during the upload process.
To resolve the InvalidZipFileException
, follow these steps:
Ensure that your ZIP file contains all necessary files and folders. The root of the ZIP file should contain your Lambda function code and any dependencies. Avoid nesting the files within additional directories.
Use a reliable tool to recreate the ZIP file. For example, you can use the zip
command on Unix-based systems:
zip -r function.zip .
This command zips all files in the current directory into function.zip
.
Ensure the ZIP file is not corrupted. You can test the integrity of the ZIP file using tools like unzip
:
unzip -t function.zip
This command tests the ZIP file for errors.
Once you have verified and recreated the ZIP file, re-upload it to AWS Lambda. You can do this via the AWS Management Console or using the AWS CLI:
aws lambda update-function-code --function-name YourFunctionName --zip-file fileb://function.zip
For more information on packaging and deploying Lambda functions, refer to the following resources:
(Perfect for DevOps & SREs)
(Perfect for DevOps & SREs)