Can we have index on materialized view in Oracle?

Can we have index on materialized view in Oracle?

A materialized view can be partitioned, and you can define a materialized view on a partitioned table. You can also define one or more indexes on the materialized view. Unlike indexes, materialized views can be accessed directly using a SELECT statement.

What type of index is recommended for a materialized view?

Consequently, for best performance, create a single-column bitmap index on each materialized view key column. In the case of materialized views containing only joins using fast refresh, create indexes on the columns that contain the rowids to improve the performance of the refresh operation.

Can we create index on view?

Indexes can only be created on views which have the same owner as the referenced table or tables. This is also called an intact ownership-chain between the view and the table(s). Typically, when table and view reside within the same schema, the same schema-owner applies to all objects within the schema.

What is the materialized view in Oracle?

A materialized view is a database object that contains the results of a query. You can select data from a materialized view as you would from a table or view. In replication environments, the materialized views commonly created are primary key, rowid, object, and subquery materialized views.

Where are Oracle materialized views stored?

Unlike an ordinary view, which does not take up any storage space or contain any data, a materialized view contains the rows resulting from a query against one or more base tables or views. A materialized view can be stored in the same database as its base tables or in a different database.

What type of index is recommended for a materialized view containing only joins If you want to use the fast refresh method?

If you have a materialized view that contains only joins, it is highly recommended that you create an index for the ROWID column for each table used in the materialized view to improve the performance of the fast refresh.

Why is indexing fast?

Indexing makes columns faster to query by creating pointers to where data is stored within a database. To get this information out of the database the computer will look through every row until it finds it. If the data you are looking for is towards the very end, this query would take a long time to run.