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Oracle: What is the difference between a View and Materialized View?

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Oracle: What is the difference between a View and Materialized View?
posted Sep 15, 2015 by Suchithra

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Manipulations on view will be reflected automatically in table but Manipulations on this Materialized view will be reflected in table by using ‘REFRESH' on commit option only

answer Sep 17, 2015 by Arun Gowda
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Other than the word "view" in their names and the fact that both are defined by an underlying SQL, there is little else common between Oracle views and materialized views – yet they can be a source of great confusion to beginners.

Here’s a summary of the key differences between views and materialized views, to put an end to all mix-ups. By the end of the article, you should be in a position to decide if your specific scenario needs a view, a materialized view, or neither.

1. Moment Of Execution

A view’s SQL is executed at run-time. The results are fetched from the view’s base tables when the view is queried.

A materialized view (called snapshot in older Oracle versions) is a "pre-answered" query – the query is executed when the materialized view is refreshed. Its result is stored in the database and the query only browses the result.
2. Space

A view occupies no space (other than that for its definition in the data dictionary).

A materialized view occupies space. It exists in the same way as a table: it sits on a disk and could be indexed or partitioned.
3. Freshness of Output

A view’s output is built on the fly; it shows real-time data from the base tables being queried.

A materialized view does not reflect real-time data. The data is only as up to date as the last time the materialized view was refreshed.
4. Where To Use

A view is best used when:

You want to hide the implementation details of a complex query
You want to restrict acc

ess to a set of rows/columns in the base tables

A materialized view is best used when:

You have a really big table and people do frequent aggregates on it, and you want fast response
You don’t mind th

e result being a little out of date, or your application data has more queries than updates (as in a BI/data warehousing system)

answer Sep 18, 2015 by Shivaranjini
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