Update Stored Data by Refreshing a Materialized View

Refresh a Materialized View after Underlying Updates

Write a PostgreSQL query to refresh a materialized view so that it reflects the most recent data changes.

Solution:

-- Refresh the materialized view to update aggregated sales data.
REFRESH MATERIALIZED VIEW SalesSummary;

Explanation:

• Purpose of the Query:
• The goal is to update the stored data in a materialized view after changes occur in the underlying tables.
• This demonstrates that while materialized views aren’t directly updatable, they can be refreshed to reflect current data.
• Key Components:
• REFRESH MATERIALIZED VIEW SalesSummary; : Rebuilds the data stored in the materialized view.
• Real-World Application:
• Often used in reporting or dashboard scenarios where precomputed data needs periodic updating.

Notes:

• Refreshing a materialized view can be resource-intensive; schedule during low-traffic periods if necessary.

For more Practice: Solve these Related Problems:

• Write a PostgreSQL query to refresh a materialized view that aggregates monthly transaction data after a bulk update in the Transactions table.
• Write a PostgreSQL query to refresh a materialized view that computes total inventory across warehouses following multiple stock updates.
• Write a PostgreSQL query to refresh a materialized view summarizing customer order histories after recent order insertions.
• Write a PostgreSQL query to refresh a materialized view that aggregates real-time financial data after updates in the MarketData table.

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous PostgreSQL Exercise: Update Data through a View Using an INSTEAD OF Trigger.