What is a materialized view in BigQuery?
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A materialized view in BigQuery
is a precomputed query result that is stored and automatically updated as the base data changes. Unlike regular views, which compute results on-demand every time they are queried, materialized views cache the result of a query and refresh it incrementally when the underlying tables are modified. This makes querying faster and more cost-efficient, especially for complex aggregations and frequently accessed data.
Materialized views are ideal for use cases like dashboards, reporting, or repeated queries over large datasets. They support automatic incremental refresh (if the base table supports it), reducing the amount of data scanned during query execution.
For example, you can create a materialized view to calculate daily sales totals from a transactions table. When new data is inserted, only the affected partitions are updated.
Limitations include:
Only support certain types of queries (like simple SELECT with GROUP BY).
Cannot join multiple tables or use subqueries in many cases.
Use REFRESH MATERIALIZED VIEW to manually update if needed.
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