Modify Regional Data Through a Partitioned View

Update Data through a Partitioned View

Write a PostgreSQL query to update salaries for employees in a specific region via a partitioned view.

Solution:

-- Increase the salary by 5% for employees in the 'North' region using the RegionalEmployeesView.
UPDATE RegionalEmployeesView  -- The view aggregates data from regional partitions.
SET salary = salary * 1.05  -- Increase salary by 5%.
WHERE region = 'North';  -- Filter for the specific region.

Explanation:

• Purpose of the Query:
• The goal is to perform an update on a view that represents data from partitioned tables. o This demonstrates that partitioned views can be used to update data in multiple underlying tables consistently.
• Key Components:
• UPDATE RegionalEmployeesView : Specifies the partitioned view.
• SET salary = salary * 1.05 : Applies the salary increase.
• WHERE region = 'North' : Limits the update to one region.
• Real-World Application:
• Common in distributed systems where regional data is managed in separate partitions.

Notes:

• The view must be designed to propagate updates to the correct underlying partitions.

For more Practice: Solve these Related Problems:

• Write a PostgreSQL query to update the salary of employees in a specific region using a partitioned view that consolidates regional data.
• Write a PostgreSQL query to update the order status via a partitioned view that segregates orders based on date ranges.
• Write a PostgreSQL query to update inventory levels in a partitioned view that aggregates stock data from multiple warehouse partitions.
• Write a PostgreSQL query to update customer loyalty points through a partitioned view that partitions customers by geographical region.

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Previous PostgreSQL Exercise: Update a View with Computed Columns by Modifying Base Data.
Next PostgreSQL Exercise: Attempt to Update a Non-Updatable Aggregated View.