Here are a couple of practices; the one you select will depend upon your specific situation.
Here are a couple of practices; the one you select will depend upon your specific situation: Trust your database engine Many database engines will automatically cache the query plans (and results) of frequently used queries. Even if the underlying data has changed, the query plan itself will remain the same. Appropriate parts of indexes will be kept in main memory, making rerunning a given query almost free.
The most you may need to do in this case is tune the database's parameters. Denormalize your database While 3rd-Normal Form (3NF) is still considered the appropriate database design, for performance reasons it can become necessary to add additional tables that include summary values that would normally be calculated as necessary via a SELECT ... GROUP BY ... query. Frequently these other tables are kept up to date by the use of triggers, stored procedures, or background processes.
See Wikipedia for more about Denormalization. Data warehousing With a Data warehouse, the goal is to push copies of live data to secondary databases (warehouses) for query and special reporting purposes. This is usually done with background processes using whatever replication techniques your database supports.
These warehouses are frequently indexed more rigorously than may otherwise be needed for your base application, with the intent to support large queries with massive amounts of historical data.
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