To design efficient partition schemas and row keys in Azure Table Storage, consider the following best practices:
1. Distribute data evenly: Choose partition keys that distribute entities across multiple partitions to enable parallelism and load balancing.
2. Avoid hotspots: Hotspots occur when a single partition receives a high volume of requests. Use diverse partition keys to prevent this issue.
3. Row key selection: Select row keys that allow for efficient querying by including relevant properties or using unique identifiers like GUIDs.
4. Monitor performance: Regularly monitor your table’s performance metrics to identify bottlenecks and adjust your schema accordingly.
5. Partition size limits: Be aware of the 20,000 entities per second limit per partition and design your schema to stay within these bounds.
6. Batch operations: Group related entities with the same partition key to optimize batch operations and reduce transaction costs.
7. Plan for growth: Design your schema with future scalability in mind, considering factors such as increased traffic and storage requirements.
