Description

This PR adds support for the new warm_throughput configuration option for DynamoDB tables.
Recently, AWS introduced the ability to set warm throughput for On-Demand DynamoDB tables, which allows pre-scaling of partitions to handle anticipated write or read traffic spikes more reliably.

With this change, users of the module can specify a warm_throughput value in WCU/RCU that will be provisioned ahead of time, ensuring their tables are pre-warmed for migration jobs, batch workloads, or expected traffic surges.

Motivation and Context

During high-throughput migrations or batch workloads (e.g., moving data from MySQL to DynamoDB), DynamoDB On-Demand capacity may initially throttle while it scales up.

Warm throughput solves this by proactively allocating partitions to meet the specified throughput baseline.

Breaking Changes

No breaking changes.

The new variable warm_throughput is optional.

If not set, the module behavior remains unchanged and no warm throughput is applied.

How Has This Been Tested?

• I have updated at least one of the examples/* to demonstrate and validate my change(s)
• I have tested and validated these changes using one or more of the provided examples/* projects
  Converted the table from provisioned with autoscaling to on-demand mode.
  Removed autoscaling configuration since it is not applicable with on-demand capacity.
  Applied the module with warm_throughput set (e.g., 30000) to verify that the table was created with the warm throughput baseline.

      + warm_throughput {
          + read_units_per_second  = 20000
          + write_units_per_second = 30000
        }
    }

Plan: 2 to add, 0 to change, 0 to destroy.

Applied the module with warm_throughput unset to verify that the table was created without warm throughput (default on-demand behavior).

      + warm_throughput (known after apply)
    }

Plan: 2 to add, 0 to change, 0 to destroy.

Verified both configurations (with and without warm throughput) were deployed successfully without errors and matched the expected DynamoDB table settings in AWS console.

• I have executed pre-commit run -a on my pull request