Optimizing Data with PostgreSQL Materialized Views
This resource offers a total of 45 PostgreSQL Creating and refreshing materialized views problems for practice. It includes 9 main exercises, each accompanied by solutions, detailed explanations, and four related problems.
Following exercises cover various aspects of creating and refreshing materialized views in PostgreSQL, demonstrating how to pre-computed data for improved query performance and reporting.
1. Create a Simple Materialized View
Write a PostgreSQL query to create a materialized view that selects specific columns from the Employees table.
2. Create a Materialized View with Aggregation
Write a PostgreSQL query to create a materialized view that aggregates total sales per product from the Sales table.
3. Create a Materialized View with a JOIN
Write a PostgreSQL query to create a materialized view that joins the Orders and Customers tables.
4. Create a Materialized View with Filtering
Write a PostgreSQL query to create a materialized view that includes only active customers from the Customers table.
5. Create a Materialized View with Sorting
Write a PostgreSQL query to create a materialized view that returns orders sorted by order date.
6. Create a Materialized View for a Reporting Dashboard
Write a PostgreSQL query to create a materialized view that summarizes monthly sales figures for a dashboard.
7. Refresh a Materialized View Concurrently
Write a PostgreSQL query to refresh a materialized view concurrently to allow continued access during the refresh process.
8. Create a Complex Materialized View with Subqueries
Write a PostgreSQL query to create a materialized view that includes data from a subquery to calculate top-selling products.
9. Drop and Recreate a Materialized View
Write a PostgreSQL query to drop an existing materialized view and then recreate it with updated logic.
More to Come !
Do not submit any solution of the above exercises at here, if you want to contribute go to the appropriate exercise page.
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