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View can be deleted using DROP VIEW command. View can be created and replaced using CREATE VIEW and REPLACE VIEW. The challenging part here is to synchronize the changes in materialized views underlying tables.Ĭomparison Between View and Materialized View It helps remote users to replicate data locally and improve query performance. Materialized view reduce the processing time to regenerate the whole data. This type of view is also known as "SNAPSHOTS". This replicated data can be reused without executing the view again. Materialized view replicates the retrieved data physically.
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In Oracle and in the Postgres community, this temporary table is called an inline view. This is called a temporary table because a duplicate copy of the data returned by the stored subquery wasn't stored in the database. Inline views are utilized for writing complex SQL queries without join and subqueries operations. It creates replicas of data by storing it physically.Īn inline view is a SELECT statement in the FROM-clause of another SELECT statement to create a temporary table that could be referenced by the SELECT statement. Materialized View: A view that stores the definition as well as data.
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Inline View: A view based on a subquery in FROM Clause, that subquery creates a temporary table and simplifies the complex query. Simple View: A view based on only a single table, which doesn't contain GROUP BY clause and any functions.Ĭomplex View: A view based on multiple tables, which contain GROUP BY clause and functions.Provide restriction to users from accessing sensitive data.Changes made at any point in view are reflected in the actual base table.
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It is computed dynamically, whenever the user performs any query on it. It does not use the physical memory, only the query is stored in the data dictionary. The view is a query stored in the data dictionary, on which the user can query just like they do on tables. It does not hold the actual data it holds only the definition of the view in the data dictionary. You can select data from multiple tables, or you can select specific data based on certain criteria in views. They provide a virtual table environment for various complex operations. Views are a special version of tables in SQL.