What should the database specialist do?
Enable auto scaling for the DynamoDB table.
Use four threads and parallel DynamoDB API Scan operations.
Double the table’s provisioned RCUs.
Set the Limit and Offset parameters before every call to the API.
Explanations:
Enabling auto scaling adjusts the RCUs based on traffic patterns, but this will not solve the issue of slow performance due to a large scan operation. The scan operation is inherently slow for large tables, and auto scaling would not provide a significant improvement in performance for this process.
Using parallel scan operations with multiple threads can divide the work and significantly reduce the time it takes to scan the table. DynamoDB supports parallel scans, which allows for scanning large tables in smaller segments, improving performance.
Doubling the provisioned RCUs would increase throughput but would not address the inherent inefficiency of a single-threaded scan operation. The scan operation would still be slow because it needs to scan the entire table, regardless of the RCUs available.
Setting the Limit and Offset parameters does not optimize scan performance. These parameters help in limiting the number of items returned or specifying a starting point, but they do not improve the overall speed of a Scan operation for large tables.
As far as I’m aware, the answer is:
Use four threads and parallel DynamoDB API Scan operations.
I calculate that the answer is:
Use four threads and parallel DynamoDB API Scan operations.