Resolving the Spectrum Scan Error in AWS Lambda to Redshift Data Ingestion

Encountering a `Spectrum Scan Error` while using AWS Lambda to ingest data into Redshift? Learn how to resolve this issue with a simple policy change to ensure smooth data processing. --- This video is based on the question https://stackoverflow.com/q/63986901/ asked by the user 'GRVPrasad' ( https://stackoverflow.com/u/12742773/ ) and on the answer https://stackoverflow.com/a/63992463/ provided by the user 'GRVPrasad' ( https://stackoverflow.com/u/12742773/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: My lambda reads JSON file from S3 bucket and it will ingest data into Redshift table. But I have encountered a 'Spectrum Scan Error' Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- Troubleshooting the Spectrum Scan Error While Ingesting Data into Redshift If you're working with AWS services like Lambda, S3, and Redshift, you might have faced the annoying Spectrum Scan Error while trying to ingest JSON data into your Redshift tables. This common error can stem from permission issues, and understanding how to resolve it will save you time and ensure that your data ingestion runs smoothly. In this guide, we'll delve into what causes the Spectrum Scan Error and provide a clear, step-by-step guide to fixing it. What Is the Spectrum Scan Error? The Spectrum Scan Error appears when your AWS Redshift cluster has trouble accessing data files stored in Amazon S3. This issue might present itself with messages like: [[See Video to Reveal this Text or Code Snippet]] This error typically indicates that your Redshift cluster doesn't have the necessary permissions to access the S3 bucket where your JSON files are located. Understanding the Error Context From the error message, you can see: Error Code: 15001 Error Message: Access Denied Request IDs: Useful for debugging by AWS support Step-by-Step Solution: Fixing the Access Denied Issue The good news is that resolving the Spectrum Scan Error is straightforward. Follow these steps to adjust your bucket policies and permissions so your AWS Lambda function can successfully ingest data into Redshift. Step 1: Identify Your S3 Bucket First, confirm the name of the S3 bucket containing the JSON files you wish to access. Make sure you have the correct ARN (Amazon Resource Name) for the bucket. Step 2: Update Your S3 Bucket Policy To allow Redshift to access the files in your S3 bucket, you must update the bucket policy. Here’s a general template of a policy you can use: [[See Video to Reveal this Text or Code Snippet]] Replace YOUR_REDSHIFT_ROLE_ARN with the actual ARN of the IAM role associated with your Redshift cluster and YOUR_BUCKET_NAME with the name of your bucket. Step 3: Verify IAM Role Permissions Ensure that the IAM role associated with your Redshift cluster has the required permissions. It should have a trust relationship with the Lambda service and permissions to access the S3 bucket. Step 4: Test Your Lambda Function Again After updating your S3 bucket policy and verifying the IAM role's permissions, run your AWS Lambda function to see if the issue is resolved. You should not encounter the Spectrum Scan Error anymore. Conclusion By following the steps outlined above, you can correct the Spectrum Scan Error and facilitate the smooth ingestion of data from S3 into Redshift using AWS Lambda. If you've made the necessary changes and are still running into issues, don't hesitate to reach out to AWS support with the error details, including the request IDs provided in the error messages. With a bit of patience and the right permissions in place, you'll be able to ingest your JSON data successfully. Happy coding!