Table partitioning is a very convenient technique supported by several databases including MySQL, Oracle, PostgreSQL, and YugabyteDB. In the first article of this series, we discussed an application that automates the operations of a large pizza chain. We reviewed how PostgreSQL improves the application’s performance with the partition pruning feature by eliminating unnecessary partitions from the query execution plan. 

In this article, we’ll examine how PostgreSQL’s partition maintenance capabilities can further influence and simplify the architecture of your apps. We’ll again take the pizza chain app as an example, whose database schema comes with the PizzaOrders table. To remind you, the table tracks the order’s progress (table data is explained in the first article):

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