Need help in designing solution to read Step function distributed Mode ( map ) result

To design a solution for reading the results of a Step Functions Distributed Map state and create a final output file, you have a few options:

1. Use AWS Lambda: While Lambda has a 15-minute execution limit, it can be a good option if your result file is not too large. You can create a Lambda function that reads the output file from S3, processes the data, and generates your final output file. If the processing time is close to or exceeds 15 minutes, consider breaking the task into smaller chunks or using a different approach.

2. Use AWS Glue: For larger datasets or more complex processing, AWS Glue might be a better choice. Glue is a fully managed extract, transform, and load (ETL) service that can handle large-scale data processing jobs. You can create a Glue job to read the Distributed Map output file, process the data, and generate your final output file.

3. Use Amazon EMR: For very large datasets or complex processing requirements, Amazon EMR (Elastic MapReduce) could be a suitable option. EMR allows you to process vast amounts of data using a cluster of EC2 instances.

4. Implement a custom solution using EC2: If you need more control over the processing environment or if your processing requirements are unique, you could set up an EC2 instance to read the output file, process the data, and generate the final output.

Regardless of the method you choose, here's a general approach to processing the Distributed Map output:

1. Read the output file from S3.
2. Parse the JSON data for each execution result.
3. Extract the relevant information from each result (e.g., the "Output" field).
4. Process and aggregate the data as needed for your use case.
5. Generate your final output file and store it in S3 or another appropriate location.

When designing your solution, consider factors such as the size of your input data, the complexity of your processing requirements, the frequency of executions, and your performance needs. Also, ensure that your chosen method has the necessary permissions to access the S3 buckets and any other required AWS resources.

Remember to implement error handling and logging in your processing logic to handle any issues that may arise during the data processing stage.
Sources
Using Map state in Distributed mode for large-scale parallel workloads in Step Functions - AWS Step Functions
Copying large-scale CSV data using Distributed Map in Step Functions - AWS Step Functions