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Troubleshooting Common DynamoDB Issues and ... - Reintech
Excerpt
### Provisioned Throughput Exceeded One of the most common issues with DynamoDB is exceeding the provisioned throughput for your tables. When requests exceed the provisioned read or write capacity units (RCUs/WCUs), DynamoDB will throttle these requests, leading to increased latency or errors in your application. `aws dynamodb update-table --table-name YourTableName --provisioned-throughput ReadCapacityUnits=NewReadValue,WriteCapacityUnits=NewWriteValue` … ### Poor Data Modeling Data modeling in DynamoDB is crucial for ensuring high performance. A common mistake is not leveraging DynamoDB's single table design and not making use of composite keys effectively. This can lead to inefficient access patterns that can throttle performance. To resolve data modeling issues: - Understand the concepts of partition keys and sort keys to design your schema effectively. - Use secondary indexes judiciously to support various access patterns without duplicating data. - Denormalize your data when necessary to reduce the need for joins, which aren't natively supported in DynamoDB.
Related Pain Points
DynamoDB provisioned throughput throttling under load
7When application requests exceed provisioned read or write capacity units (RCUs/WCUs), DynamoDB throttles requests, leading to increased latency or application errors. Requires manual throughput adjustment via AWS CLI.
Rigid schema and access pattern design required upfront
7DynamoDB forces developers to decide partition and sort keys and design access patterns before product requirements crystallize. Changing queries later requires backfilling GSIs, schema migrations, and complex denormalized projections, whereas traditional databases allow simple index additions.