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Rolling Materialized Views → or list partitioned. PCT refresh is nonatomic. Rolling Materialized Views When a data warehouse or … tables or materialized views include a time dimension and are horizontally partitioned by the time … attribute, then management of rolling materialized views can be reduced to a few fast
Sample Schema and Materialized Views → The following sections use the sh sample schema and a few materialized views to illustrate how the … mainly refer to the following materialized views. These materialized views do not necessarily represent … this chapter. The following materialized views
Tips After Refreshing Materialized Views → re-enable integrity constraints (if any) and refresh the materialized views and materialized view … materialized view data is redundant and can always be reconstructed from the detail tables, it might be … preferable to disable logging on the materialized view. To disable logging and run incremental
Materialized Views for Mobile Computing → You can also use materialized views to download a subset of data from central servers to mobile … focuses on the use of materialized views in data warehouses. See Oracle Database Advanced Replication
Materialized Views Containing Only Joins → Some materialized views contain only joins and no aggregates, such as in Example 9-4, where a … inner join. See \"Restrictions on Fast Refresh on Materialized Views with Joins Only\" for more … information regarding the conditions that cause refresh performance to degrade. Materialized Join Views
Materialized Views for Data Warehouses → In data warehouses, you can use materialized views to precompute and store aggregated data such as … the sum of sales. Materialized views in these environments are often referred to as summaries … aggregations. A materialized view eliminates the overhead associated with expensive joins and aggregations
Materialized Views for Distributed Computing → In distributed environments, you can use materialized views to replicate data at distributed sites … materialized views provide local access to data that otherwise would have to be accessed from remote … sites. Materialized views are also useful in remote data marts. See Oracle Database
Materialized Views with Set Operators → Oracle Database provides support for materialized views whose defining query involves set operators … . Materialized views with set operators can now be created enabled for query rewrite. You can … marker. See \"Restrictions on Fast Refresh on Materialized Views with UNION ALL\" for
Security Issues with Materialized Views → To create a materialized view in your own schema, you must have the CREATE MATERIALIZED VIEW … materialized view in another schema, you must have the CREATE ANY MATERIALIZED VIEW privilege and the … owner of the materialized view needs SELECT privileges to the tables referenced if they are from another
Choosing Indexes for Materialized Views → defined on each materialized view key column. In the case of materialized views containing only joins … The two most common operations on a materialized view are query execution and fast refresh, and … of the materialized view key columns, and might need to join and aggregate over a subset of those
Refresh Methods for Materialized Views → The database maintains data in materialized views by refreshing them after changes to their master … huge amounts of data. A fast refresh eliminates the need to rebuild materialized views from scratch … . Thus, processing only the changes can result in a very fast refresh time. Materialized views
The Need for Materialized Views → You can use materialized views to increase the speed of queries on very large databases. Queries to … determines how the materialized view is refreshed and used by query rewrite. Materialized views … and not to the underlying detail tables. In general, rewriting queries to use materialized
Adding Comments to Materialized Views → to data dictionary views for the existing materialized view: COMMENT ON MATERIALIZED VIEW sales_mv IS … You can add a comment to a materialized view. For example, the following statement adds a comment … 'sales materialized view'; To view the comment after the preceding statement execution, the user
Benefits of Partitioning Materialized Views → Materialized views with multiple aggregate groups give their best performance for refresh and query … effective partitioning scheme for these materialized views is to use composite partitioning (range-list … on ( time, GROUPING_ID ) columns). By partitioning the materialized views this
Overview of Data Warehousing with Materialized Views → … Materialized views can perform a number of roles, such as improving query performance or providing replicated … summaries that had been defined. The database administrator creates one or more materialized views, which … . Although materialized views are usually accessed through
Using Materialized Views with NLS Parameters → When using certain materialized views, you must ensure that your NLS parameters are the same as … when you created the materialized view. Materialized views with this restriction are as follows … materialized view after a refresh operation. Expressions that generate internal conversion
Materialized View Schema Design → and you require fewer materialized views if your schema design complies with these guidelines. A … applications, so that a database administrator can create or drop materialized views at any time without … Summary management can perform many useful functions, including query rewrite and materialized
Enabling Query Rewrite → Before creating a materialized view, you can verify what types of query rewrite are possible by … materialized view so that many types of query rewrite are possible. Once the materialized view has been … query. Even though a materialized view is defined, it will not automatically be used by the query … QUERY REWRITE
Materialized Views in Analytic Processing Environments → these types of queries. It also illustrates the best approach for creating materialized views using a common scenario.
Data Warehousing Terminology → the typical work load, can be used to create materialized views. See Chapter 11, \"Dimensions\" for … fact table, and each foreign key joins with exactly one row of a dimension table. A materialized view … tables. Among builders of data warehouses, a materialized view is also known as a summary.