A company has an application that uses an Amazon DynamoDB table to store user dat a. Every morning, a single-threaded process calls the DynamoDB API Scan operation to scan the entire table and generate a critical start-of-day report for management. A successful marketing campaign recently doubled the number of items in the table, and now the process takes too long to run and the report is not generated in time.
A database specialist needs to improve the performance of the process. The database specialist notes that, when the process is running, 15% of the table’s provisioned read capacity units (RCUs) are being used.
What should the database specialist do?

Question

A company has an application that uses an Amazon DynamoDB table to store user dat a. Every morning, a single-threaded process calls the DynamoDB API Scan operation to scan the entire table and generate a critical start-of-day report for management. A successful marketing campaign recently doubled the number of items in the table, and now the process takes too long to run and the report is not generated in time.

A database specialist needs to improve the performance of the process. The database specialist notes that, when the process is running, 15% of the table’s provisioned read capacity units (RCUs) are being used.

What should the database specialist do?

Rok Nemec · Accepted Answer

Use four threads and parallel DynamoDB API Scan operations.

Rok Nemec · Answer

Enable auto scaling for the DynamoDB table.

Rok Nemec · Answer

Double the table’s provisioned RCUs.

Rok Nemec · Answer

Set the Limit and Offset parameters before every call to the API.

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