To implement secondary indexes in Azure Table Storage, follow these steps:
1. Create a new table for each secondary index needed.
2. For each entity inserted into the primary table, insert an additional entity into the corresponding secondary index table with the same PartitionKey and RowKey but different properties to be indexed.
3. When querying data, use the appropriate secondary index table based on the filter criteria.
To improve query performance using secondary indexes:
1. Design your partitioning strategy carefully, considering access patterns and scalability requirements.
2. Use secondary indexes when filtering on non-key properties to avoid full table scans.
3. Optimize queries by specifying both PartitionKey and RowKey filters whenever possible.
4. Consider denormalizing data or using multiple tables if complex queries are required.
5. Monitor and adjust your indexing strategy as needed based on usage patterns and performance metrics.
