How can this solution be implemented?
Use Amazon EMR to export the data from the current DynamoDB table to Amazon S3. Then use Amazon EMR again to import the data from Amazon S3 into a new DynamoDB table with the new partition key.
Use AWS DMS to copy the data from the current DynamoDB table to Amazon S3. Then import the DynamoDB table to create a new DynamoDB table with the new partition key.
Use the AWS CLI to update the DynamoDB table and modify the partition key.
Use the AWS CLI to back up the DynamoDB table. Then use the restore-table-from-backup command and modify the partition key.
Explanations:
This option involves exporting data to Amazon S3 using Amazon EMR, allowing for transformation during import into a new DynamoDB table with the new partition key. This is a suitable approach for handling large data sets and optimizing the structure without downtime.
AWS DMS is primarily used for database migrations and may not directly support transforming the data schema for DynamoDB tables, especially for changing the partition key. While it can copy data, it does not facilitate schema changes as effectively as the export-import process with EMR.
The AWS CLI does not allow for direct modification of the partition key of an existing DynamoDB table. The partition key must be defined at the time of table creation, and existing keys cannot be changed or updated directly.
The restore-table-from-backup command in AWS CLI does not allow for modification of the partition key. It restores the table with the same schema, including the original partition key, thus failing to address the hot partition issue.
I structure that the answer is:
Use Amazon EMR to export the data from the current DynamoDB table to Amazon S3. Then use Amazon EMR again to import the data from Amazon S3 into a new DynamoDB table with the new partition key.