Final answer:
To solve a throughput exception error in DynamoDB, one could increase the capacity units, use exponential backoff for retries, or use AWS SDK's client.get_waiter() function. Usually, a combination of these methods is best.
Step-by-step explanation:
A throughput exception error in DynamoDB typically indicates that the number of read or write operations exceeds the provisioned throughput for the table. To solve this issue, one or more of the following strategies can be employed:
- Increase the read or write capacity units for the table to handle higher loads.
- Implement exponential backoff in your application to retry the requests with increasing delays between the retries, giving the system time to recover or the bursts of traffic to subside.
- Use the AWS SDK's client.get_waiter() function to wait for the table to become active if you have recently increased the capacity. This is especially relevant when the table is being scaled up and operations need to wait until the changes have been fully applied.
The best practice is to combine these methods to manage throughput effectively and to ensure a robust application that can adapt to varying loads. Operational errors like these can often be managed dynamically using a combination of feedback loops and adaptive retries.