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Validating Tables, Indexes, Clusters, and Materialized Views → To verify the integrity of the structure of a table, index, cluster, or materialized view, use the … cluster is corrupt, you should drop it and re-create it. If a materialized view is corrupt, perform … , drop and re-create the materialized view. The following statement analyzes the emp table: ANALYZE
Materialized Views → … The new names appear in all data dictionary views, but both the old and new names are accepted by the … GRANT and REVOKE SQL statements. CREATE SNAPSHOT changed to CREATE MATERIALIZED VIEW CREATE ANY … SNAPSHOT changed to CREATE ANY MATERIALIZED VIEW ALTER ANY SNAPSHOT changed to ALTER ANY MATERIALIZED
Naming Materialized Views → , you might consider extending this naming scheme to the materialized views so that they are easily … The name of a materialized view must conform to standard Oracle naming conventions. However, if the … materialized view is based on a user-defined prebuilt table, then the name of the materialized view
Materialized Views and Models → Examples of Materialized Views Using UNION ALL The following examples illustrate creation of fast … refreshable materialized views involving UNION ALL. Example 10-5 Materialized View Using UNION ALL … with Two Join Views To create a UNION ALL materialized view with two
Invalidating Materialized Views → Dependencies related to materialized views are automatically maintained to ensure correct operation … views is not tracked. Thus, if you use remote materialized views for rewrite, they are considered to be trusted. … . When a materialized view is created, the materialized
Characteristics of Materialized Views → views Oracle Database SQL Language Reference to learn about the CREATE MATERIALIZED VIEW statement … Characteristics of Materialized Views Materialized views share some characteristics of nonmaterialized … views and indexes. Materialized views
Creating Materialized Views → Why Use Nested Materialized Views? In a data warehouse, you typically create many aggregate views … distinct materialized aggregate views can take a long time, because the underlying join has to be … performed many times. Using nested materialized views, you can create
Compressing Materialized Views → foreign keys. In particular, materialized views created with the ROLLUP clause are likely candidates
Materialized Views with Aggregates → In data warehouses, materialized views normally contain aggregates as shown in Example 9-1. For … Materialized Views with Aggregates\". Fast refresh for a materialized view containing joins and … tables upon which the materialized view is based. Here are some examples of materialized
10 Advanced Materialized Views → This chapter discusses advanced topics in using materialized views. It contains the following … topics: Partitioning and Materialized Views Materialized Views in Analytic Processing Environments … Materialized Views and Models Invalidating Materialized
9 Basic Materialized Views → This chapter describes the use of materialized views. It contains the following topics: Overview of … Data Warehousing with Materialized Views Types of Materialized Views Creating Materialized Views … Registering Existing Materialized
Overview of Materialized Views → Materialized views are query results that have been stored or \"materialized\" in advance as schema … objects. The FROM clause of the query can name tables, views, and materialized views. Collectively … term). Materialized views are used to summarize,
Refreshing Materialized Views → … Alternatively, you can control the time when refresh of the materialized views occurs by specifying ON DEMAND … Refresh one or more materialized views. DBMS_MVIEW.REFRESH_ALL_MVIEWS Refresh all materialized … views. DBMS_MVIEW.REFRESH_DEPENDENT Refresh all materialized
Multiple Materialized Views → ) GROUP BY prod_category; Multiple Materialized Views Que ry rewrite has been extended to enable the … rewrite of a query using multiple materialized views. If query rewrite determines that there is no … set of materialized views that returns all of the data, then query rewrite retrieves
Registering Existing Materialized Views → Some data warehouses have implemented materialized views in ordinary user tables. Although this … solution provides the performance benefits of materialized views, it does not: Provide query rewrite to … all SQL applications. Enable materialized views defined in one application to be
Dropping Materialized Views → Use the DROP MATERIALIZED VIEW statement to drop a materialized view. For example, consider the … following statement: DROP MATERIALIZED VIEW sales_sum_mv; This statement drops the materialized view … sales_sum_mv. If the materialized view was prebuilt on a table, then the table is not dropped, but it
Altering Materialized Views → security implications for materialized views accessed in this way are much the same as for indexes: all … . Restrictions with Materialized Views and Virtual Private Database Query rewrite does not use its … you directly specify when you create the materialized view. Altering Materialized
Types of Materialized Views → FROM clause of a SELECT statement), subqueries, and materialized views can all be joined or referenced … , such as in the WHERE clause. The types of materialized views are: Materialized Views with Aggregates … Materialized Views Containing Only Joins
Nested Materialized Views → view. A nested materialized view can reference other relations in the database in addition to referencing materialized views. … A nested materialized view is a materialized view whose definition is based on another materialized
Partitioning and Materialized Views → … Partitioning the fact tables also improves the opportunity of fast refreshing the materialized view … because this may enable Partition Change Tracking (PCT) refresh on the materialized view. Partitioning … a materialized view also has benefits for refresh, because the refresh procedure can then use … the materialized
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.