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Materialized View.md

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Materialized View Pattern

1. Context

In systems where query performance is crucial and you're dealing with complex joins, aggregations, or computations, the time it takes to generate a view dynamically can be unacceptable.

2. Problem

How can you speed up data retrieval times for complex queries in a system where read performance is a significant concern?

3. Solution

The Materialized View Pattern involves pre-computing and storing complex queries or computations as a "materialized view" in the database. These views are kept in sync with the underlying data, either through batch jobs or triggered updates.

4. Benefits

  • Fast Reads: Query performance for complex queries is improved significantly.

  • Reduced Load: Offloads the computational work from the main database or service.

  • Data Consolidation: Can bring together data from multiple services or databases into a single view.

5. Drawbacks

  • Stale Data: There may be a lag in keeping the materialized view up-to-date.

  • Increased Storage: Materialized views consume additional storage resources.

  • Maintenance Overhead: Complexity in keeping views updated.

6. Alternative Solutions

  • Caching Layers: For less complex queries or temporary performance improvement, caching could suffice.

  • Database Indexing: Proper indexing can speed up many types of queries but may not be sufficient for very complex scenarios.