Handle Computed Values
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If you want to return calculated data values to your application, you can improve performance by running computations in your database rather than when the data is requested. The application may require either precise calculations or approximate results. By using the Computed and the Approximation schema patterns, you can pre-compute and store the resulting values ahead of time (for example on insert or with a periodic task) so they are readily available when you request the data.
Use Cases
Scenario | Design Pattern Application |
|---|---|
A consumer reporting company compiles data from several different sources to create rank-ordered lists like the "100 Best-Reviewed Gadgets". | Use the computed pattern to update the list periodically while the underlying data is updated independently. |
Your application tracks the population of a city that contains 40,000 people. | Use the approximation pattern to update the population value in increments of 100. The computations are not precise but they are statistically valid. |
Get Started
To learn how to apply design patterns for computed values, see these pages: