A SQL view is a stored SELECT statement that presents query results as a virtual table, simplifying access, security, and reuse.
A SQL view is a saved SELECT statement stored in the database catalog that returns a virtual table each time it’s queried, without storing duplicate data.
The database engine rewrites queries against a view into the underlying SELECT logic at runtime, retrieving the latest base-table rows. No data duplication occurs.
Views centralize complex joins or filters, enforce row-level security, and give analysts a stable interface even when the physical schema changes.
Use CREATE VIEW followed by the view name and a valid SELECT. Optionally add column aliases, WITH clauses, or SECURITY DEFINER for permission control.CREATE VIEW sales_q1 AS
SELECT order_id, customer_id, amount
FROM orders
WHERE order_date BETWEEN '2024-01-01' AND '2024-03-31';
Yes, if the view maps 1-to-1 to a single base table without aggregates or DISTINCT. Otherwise, the database blocks DML or requires an INSTEAD OF trigger.
Views add minimal overhead; the optimizer inlines them. Materialized views, however, store results physically and need refresh strategies.
Choose materialized views for heavy aggregations queried often with low update frequency; use standard views for realtime data and lightweight logic.
Grant users SELECT on a view instead of the base table to expose only permitted columns or rows, implementing least-privilege access.
Nesting too many views, hiding inefficient joins, or forgetting to update dependencies after schema changes can slow queries or break reports.
Galaxy’s AI copilot autocompletes CREATE VIEW statements, suggests column aliases, and surfaces lineage so teams can endorse and reuse trusted views.
Views decouple data consumers from physical schemas, letting engineers refactor tables without breaking dashboards. They reduce code duplication by centralizing business logic and improve security by exposing only necessary data. For analytics teams, consistent views ensure that metrics stay reliable across departments.
No. A view stores query logic, not data. The result set is generated at query time.
Standard views don’t cache data, so performance mirrors the underlying query. Materialized views can speed up heavy aggregations.
Galaxy’s editor provides context-aware autocomplete, lineage visualization, and one-click sharing so teams can endorse and reuse views safely.
You can create indexed/materialized views in some databases (e.g., SQL Server, Postgres) to persist results and add indexes.