| Oracle® Database Advanced Replication 10g Release 1 (10.1) Part Number B10732-01 |
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| Oracle® Database Advanced Replication 10g Release 1 (10.1) Part Number B10732-01 |
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View PDF |
This chapter explains the concepts and architecture of Oracle materialized views.
This chapter contains these topics:
Oracle uses materialized views (also known as snapshots in prior releases) to replicate data to non-master sites in a replication environment and to cache expensive queries in a data warehouse environment. This chapter, and this Oracle Database Advanced Replication manual in general, discusses materialized views for use in a replication environment.
| See Also:
Oracle Data Warehousing Guide to learn more about materialized views for data warehousing |
A materialized view is a replica of a target master from a single point in time. The master can be either a master table at a master site or a master materialized view at a materialized view site. Whereas in multimaster replication tables are continuously updated by other master sites, materialized views are updated from one or more masters through individual batch updates, known as a refreshes, from a single master site or master materialized view site, as illustrated in Figure 3-1. The arrows in Figure 3-1 represent database links.
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When a materialized view is fast refreshed, Oracle must examine all of the changes to the master table or master materialized view since the last refresh to see if any apply to the materialized view. Therefore, if any changes where made to the master since the last refresh, then a materialized view refresh takes some time to apply the changes to the materialized view. If, however, no changes at all were made to the master since the last refresh of a materialized view, then the materialized view refresh should be very quick.
You can use materialized views to achieve one or more of the following goals:
If one of your goals is to reduce network loads, then you can use materialized views to distribute your corporate database to regional sites. Instead of the entire company accessing a single database server, user load is distributed across multiple database servers. Through the use of multitier materialized views, you can create materialized views based on other materialized views, which enables you to distribute user load to an even greater extent because clients can access materialized view sites instead of master sites. To decrease the amount of data that is replicated, a materialized view can be a subset of a master table or master materialized view.
While multimaster replication also distributes a corporate database among multiple sites, the networking requirements for multimaster replication are greater than those for replicating with materialized views because of the transaction by transaction nature of multimaster replication. Further, the ability of multimaster replication to provide real-time or near real-time replication may result in greater network traffic, and might require a dedicated network link.
Materialized views are updated through an efficient batch process from a single master site or master materialized view site. They have lower network requirements and dependencies than multimaster replication because of the point in time nature of materialized view replication. Whereas multimaster replication requires constant communication over the network, materialized view replication requires only periodic refreshes.
In addition to not requiring a dedicated network connection, replicating data with materialized views increases data availability by providing local access to the target data. These benefits, combined with mass deployment and data subsetting (both of which also reduce network loads), greatly enhance the performance and reliability of your replicated database.
Deployment templates allow you to precreate a materialized view environment locally. You can then use deployment templates to quickly and easily deploy materialized view environments to support sales force automation and other mass deployment environments. Parameters allow you to create custom data sets for individual users without changing the deployment template. This technology enables you to roll out a database infrastructure to hundreds or thousands of users.
Materialized views allow you to replicate data based on column- and row-level subsetting, while multimaster replication requires replication of the entire table. Data subsetting enables you to replicate information that pertains only to a particular site. For example, if you have a regional sales office, then you might replicate only the data that is needed in that region, thereby cutting down on unnecessary network traffic.
Materialized views do not require a dedicated network connection. Though you have the option of automating the refresh process by scheduling a job, you can manually refresh your materialized view on-demand, which is an ideal solution for sales applications running on a laptop. For example, a developer can integrate the replication management API for refresh on-demand into the sales application. When the salesperson has completed the day's orders, the salesperson simply dials up the network and uses the integrated mechanism to refresh the database, thus transferring the orders to the main office.
A materialized view can be either read-only, updatable, or writeable. Users cannot perform data manipulation language (DML) statements on read-only materialized views, but they can perform DML on updatable and writeable materialized views.
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Note: For read-only, updatable, and writeable materialized views, the defining query of the materialized view must reference all of the primary key columns in the master. |
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You can make a materialized view read-only during creation by omitting the FOR UPDATE clause or disabling the equivalent option in the Replication Management tool. Read-only materialized views use many of the same mechanisms as updatable materialized views, except that they do not need to belong to a materialized view group.
In addition, using read-only materialized views eliminates the possibility of a materialized view introducing data conflicts at the master site or master materialized view site, although this convenience means that updates cannot be made at the remote materialized view site. The following is an example of a read-only materialized view:
CREATE MATERIALIZED VIEW hr.employees AS SELECT * FROM hr.employees@orc1.world;
You can make a materialized view updatable during creation by including the FOR UPDATE clause or enabling the equivalent option in the Replication Management tool. For changes made to an updatable materialized view to be pushed back to the master during refresh, the updatable materialized view must belong to a materialized view group.
Updatable materialized views enable you to decrease the load on master sites because users can make changes to the data at the materialized view site. The following is an example of an updatable materialized view:
CREATE MATERIALIZED VIEW hr.departments FOR UPDATE AS SELECT * FROM hr.departments@orc1.world;
The following statement creates a materialized view group:
BEGIN DBMS_REPCAT.CREATE_MVIEW_REPGROUP ( gname => 'hr_repg', master => 'orc1.world', propagation_mode => 'ASYNCHRONOUS'); END; /
The following statement adds the hr.departments materialized view to the materialized view group, making the materialized view updatable:
BEGIN DBMS_REPCAT.CREATE_MVIEW_REPOBJECT ( gname => 'hr_repg', sname => 'hr', oname => 'departments', type => 'SNAPSHOT', min_communication => TRUE); END;
/
You can also use the Replication Management tool to create a materialized view group and add a materialized view to it.
In a single master site environment that has updatable materialized views, quiesce is not required when you perform administration operations on the master site if you:
If you do not perform these actions, then quiesce the master group before you perform the administration operations on it.
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A writeable materialized view is one that is created using the FOR UPDATE clause but is not part of a materialized view group. Users can perform DML operations on a writeable materialized view, but if you refresh the materialized view, then these changes are not pushed back to the master and the changes are lost in the materialized view itself. Writeable materialized views are typically allowed wherever fast-refreshable read-only materialized views are allowed.
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Note: Most of the documentation about materialized views only refers to read-only and updatable materialized views because writeable materialized views are rarely used. |
Oracle offers several types of materialized views to meet the needs of many different replication (and non-replication) situations. The following sections describe each type of materialized view and also describe some environments for which they are best suited.
The following sections contain examples of creating different types of materialized views:
Whenever you create a materialized view, regardless of its type, always specify the schema name of the table owner in the query for the materialized view. For example, consider the following CREATE MATERIALIZED VIEW statement:
CREATE MATERIALIZED VIEW hr.employees AS SELECT * FROM hr.employees@orc1.world;
Here, the schema hr is specified in the query.
Primary key materialized views are the default type of materialized view. They are updatable if the materialized view was created as part of a materialized view group and FOR UPDATE was specified when defining the materialized view. An updatable materialized view must belong to a materialized view group that has the same name as the replication group at its master site or master materialized view site. In addition, an updatable materialized view must reside in a different database than the master replication group.
Changes are propagated according to the row-level changes that have occurred, as identified by the primary key value of the row (not the ROWID). The following is an example of a SQL statement for creating an updatable, primary key materialized view:
CREATE MATERIALIZED VIEW oe.customers FOR UPDATE AS SELECT * FROM oe.customers@orc1.world;
Primary key materialized views may contain a subquery so that you can create a subset of rows at the remote materialized view site. A subquery is a query imbedded within the primary query, so that you have more than one SELECT statement in the CREATE MATERIALIZED VIEW statement. This subquery may be as simple as a basic WHERE clause or as complex as a multilevel WHERE EXISTS clause. Primary key materialized views that contain a selected class of subqueries can still be incrementally (or fast) refreshed, if each master referenced has a materialized view log. A fast refresh uses materialized view logs to update only the rows that have changed since the last refresh.
The following materialized view is created with a WHERE clause containing a subquery:
CREATE MATERIALIZED VIEW oe.orders REFRESH FAST AS SELECT * FROM oe.orders@orc1.world o WHERE EXISTS (SELECT * FROM oe.customers@orc1.world c WHERE o.customer_id = c.customer_id AND c.credit_limit > 10000);
This type of materialized view is called a subquery materialized view.
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Note: To create this |
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If a materialized view is based on an object table and is created using the OF type clause, then the materialized view is called an object materialized view. An object materialized view is structured in the same way as an object table. That is, an object materialized view is composed of row objects, and each row object is identified by an object identifier (OID) column.
Oracle supports ROWID materialized views in addition to the default primary key materialized views. A ROWID materialized view is based on the physical row identifiers (rowids) of the rows in a master. ROWID materialized views may be used for materialized views based on master tables that do not have a primary key, or for materialized views that do not include all primary key columns of the master tables.
The following is an example of a CREATE MATERIALIZED VIEW statement that creates a ROWID materialized view:
CREATE MATERIALIZED VIEW oe.orders REFRESH WITH ROWID AS SELECT * FROM oe.orders@orc1.world;
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To be fast refreshed, the defining query for a materialized view must observe certain restrictions. If you require a materialized view whose defining query is more general and cannot observe the restrictions, then the materialized view is complex and cannot be fast refreshed.
Specifically, a materialized view is considered complex when the defining query of the materialized view contains:
CONNECT BY clause
For example, the following statement creates a complex materialized view:
CREATE MATERIALIZED VIEW hr.emp_hierarchy AS SELECT LPAD(' ', 4*(LEVEL-1))||email USERNAME FROM hr.employees@orc1.world START WITH manager_id IS NULL CONNECT BY PRIOR employee_id = manager_id;
INTERSECT, MINUS, or UNION ALL set operation
For example, the following statement creates a complex materialized view because it has a UNION ALL set operation:
CREATE MATERIALIZED VIEW hr.mview_employees AS SELECT employees.employee_id, employees.email FROM hr.employees@orc1.world UNION ALL SELECT new_employees.employee_id, new_employees.email FROM hr.new_employees@orc1.world;
DISTINCT or UNIQUE keyword
For example, the following statement creates a complex materialized view:
CREATE MATERIALIZED VIEW hr.employee_depts AS SELECT DISTINCT department_id FROM hr.employees@orc1.world ORDER BY department_id;
For example, the following statement creates a complex materialized view:
CREATE MATERIALIZED VIEW hr.average_sal AS SELECT AVG(salary) "Average" FROM hr.employees@orc1.world;
For example, the following statement creates a complex materialized view:
CREATE MATERIALIZED VIEW hr.emp_join_dep AS SELECT last_name FROM hr.employees@orc1.world e, hr.departments@orc1.world d WHERE e.department_id = d.department_id;
UNION operation. Specifically, a materialized view with a UNION operation is complex if any one of these conditions is true:
UNION is complex. The previous bullet items specify when a query makes a materialized view complex.SELECT list columns do not match for the queries in the UNION. In the following example, the first query only has order_total in the outermost SELECT list while the second query has customer_id in the outermost SELECT list. Therefore, the materialized view is complex.
CREATE MATERIALIZED VIEW oe.orders AS SELECT order_total FROM oe.orders@orc1.world o WHERE EXISTS (SELECT cust_first_name, cust_last_name FROM oe.customers@orc1.world c WHERE o.customer_id = c.customer_id AND c.credit_limit > 50) UNION SELECT customer_id FROM oe.orders@orc1.world o WHERE EXISTS (SELECT cust_first_name, cust_last_name FROM oe.customers@orc1.world c WHERE o.customer_id = c.customer_id AND c.account_mgr_id = 30);
The innermost SELECT list has no bearing on whether a materialized view is complex. In the previous example, the innermost SELECT list is cust_first_name and cust_last_name for both queries in the UNION.
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Note: If possible, you should avoid using complex materialized views because they cannot be fast refreshed, which may degrade network performance (see "Refresh Process" for information). |
For certain applications, you may want to consider using a complex materialized view. Figure 3-2 and the following text discuss some issues that you should consider.
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In summary, to decide which method to use:
Three distinct types of users perform operations on materialized views:
One user may perform all of these operations on a particular materialized view. However, in some replication environments, different users perform these operations on a particular materialized view. The privileges required to perform these operations depend on whether the same user performs them or different users perform them. The following sections explain the privileges requirements in detail.
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Note: The following sections do not cover the requirements necessary to create materialized views with query rewrite enabled. See the Oracle Database SQL Reference for information. |
| See Also:
The following sections discuss database links. See the Oracle Database Administrator's Guide for more information about using database links. |
If the creator of a materialized view also owns the materialized view, this user must have the following privileges to create a materialized view, granted either explicitly or through a role:
CREATE MATERIALIZED VIEW or CREATE ANY MATERIALIZED VIEWCREATE TABLE or CREATE ANY TABLECREATE VIEW or CREATE ANY VIEW if the compatibility level of the database is lower than 8.1.0SELECT object privilege on the master and the master's materialized view log or SELECT ANY TABLE system privilege. If the master site or master materialized view site is remote, then the SELECT object privilege must be granted to the user at the master site or master materialized view site to which the user at the materialized view site connects through a database link.
If the owner of materialized view at the materialized view site has a private database link to the master site or master materialized view site, then the database link connects to the owner of the master at the master site or master materialized view site. Otherwise, the normal rules for connections through database links apply.
If the creator of a materialized view is not the owner, certain privileges must be granted to the creator and to the owner to create a materialized view. The creator's privileges can be granted explicitly or through a role, but the owner's privileges must be granted explicitly. That is, the privileges granted to the owner cannot be granted through a role.
Table 3-1 shows the required privileges when the creator of the materialized view is not the owner.
If the refresher of a materialized view also owns the materialized view, this user must have SELECT object privilege on the master and the master's materialized view log or SELECT ANY TABLE system privilege. If the master site or master materialized view site is remote, then the SELECT object privilege must be granted to the user at the master site or master materialized view site to which the user at the materialized view site connects through a database link. This privilege can be granted either explicitly or through a role.
If the owner of materialized view at the materialized view site has a private database link to the master site or master materialized view site, then the database link connects to the owner of the master at the master site or master materialized view site. Otherwise, the normal rules for connections through database links apply.
If the refresher of a materialized view is not the owner, certain privileges must be granted to the refresher and to the owner. These privileges can be granted either explicitly or through a role.
Table 3-2 shows the required privileges when the refresher of the materialized view is not the owner.
In certain situations, you may want your materialized view to reflect a subset of the data in the master table or master materialized view. Row subsetting enables you to include only the rows that are needed from the master in the materialized views by using a WHERE clause. Column subsetting enables you to include only the columns that are needed from the master in the materialized views. You do this by specifying certain select columns in the SELECT statement during materialized view creation. If you use deployment templates to build your materialized views, then you can define column subsets on updatable materialized views.
Some reasons to use data subsetting are to:
WHERE clause of the materialized view's defining query are propagated to the materialized view site, thereby reducing the amount of data transferred and reducing network traffic.For example, the following statement creates a materialized view based on the oe.orders@orc1.world master table and includes only the rows for the sales representative with a sales_rep_id number of 173:
CREATE MATERIALIZED VIEW oe.orders REFRESH FAST AS SELECT * FROM oe.orders@orc1.world WHERE sales_rep_id = 173;
Rows of the orders table with a sales_rep_id number other than 173 are excluded from this materialized view.
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Note: The following sections discuss row subsetting through the use of subqueries. For more information about column subsetting, see "Column Subsetting with Deployment Templates". |
The previous example works well for individual materialized views that do not have any referential constraints to other materialized views. But, if you want to replicate data based on the information in more than one table, then maintaining and defining these materialized views may be difficult. The following sections provide examples of situations where a subquery is useful.
Consider a scenario where you have the customers table and orders table in the oe schema, and you want to create a materialized view of the orders table based on data in both the orders table and the customers table. For example, suppose a salesperson wants to see all of the orders for the customers with a credit limit greater than $10,000. In this case, the CREATE MATERIALIZED VIEW statement that creates the orders materialized view has a subquery with a many to one relationship, because there can be many orders for each customer.
Look at the relationships in Figure 3-3, and notice that the customers and orders tables are related through the customer_id column. The following statement satisfies the original goal of the salesperson. That is, the following statement creates a materialized view that contains orders for customers whose credit limit is greater than $10,000:
CREATE MATERIALIZED VIEW oe.orders REFRESH FAST FOR UPDATE AS SELECT * FROM oe.orders@orc1.world o WHERE EXISTS (SELECT * FROM oe.customers@orc1.world c WHERE o.customer_id = c.customer_id AND c.credit_limit > 10000);
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Note: To create this |
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As you can see, the materialized view created by this statement is fast refreshable and updatable. If new customers are identified that have a credit limit greater than $10,000, then the new data will be propagated to the materialized view site during the subsequent refresh process. Similarly, if a customer's credit limit drops to less than $10,000, then the customer's data will be removed from the materialized view during the subsequent refresh process.
Consider a scenario where you have the customers table and orders table in the oe schema, and you want to create a materialized view of the customers table based on data in both the customers table and the orders table. For example, suppose a salesperson wants to see all of the customers who have an order with an order total greater than $20,000, then the most efficient method is to create a materialized view with a one to many subquery in the defining query of a materialized view.
Here, the defining query in the CREATE MATERIALIZED VIEW statement on the customers table has a subquery with a one to many relationship. That is, one customer can have many orders.
Look at the relationships in Figure 3-4, and notice that the orders table and customers table are related through the customer_id column. The following statement satisfies the original goal of the salesperson. That is, this statement creates a materialized view that contains customers who have an order with an order total greater than $20,000:
CREATE MATERIALIZED VIEW oe.customers REFRESH FAST FOR UPDATE AS SELECT * FROM oe.customers@orc1.world c WHERE EXISTS (SELECT * FROM oe.orders@orc1.world o WHERE c.customer_id = o.customer_id AND o.order_total > 20000);
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Note: To create this |
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The materialized view created by this statement is fast refreshable and updatable. If new customers are identified that have an order total greater than $20,000, then the new data will be propagated to the materialized view site during the subsequent refresh process. Similarly, if a customer cancels an order with an order total greater than $20,000 and has no other order totals greater than $20,000, then the customer's data will be removed from the materialized view during the subsequent refresh process.
Consider a scenario where you have the order_items table and inventories table in the oe schema, and you want to create a materialized view of the inventories table based on data in both the inventories table and the order_items table. For example, suppose a salesperson wants to see all of the inventories with a quantity on hand greater than 0 (zero) for each product whose product_id is in the order_items table. In other words, the salesperson wants to see the inventories that are greater than zero for all of the products that customers have ordered. Here, an inventory is a certain quantity of a product at a particular warehouse. So, a certain product can be in many order items and in many inventories.
To accomplish the salesperson's goal, you can create a materialized view with a subquery on the many to many relationship between the order_items table and the inventories table.
When you create the inventories materialized view, you want to retrieve the inventories with the quantity on hand greater than zero for the products that appear in the order_items table. Look at the relationships in Figure 3-5, and note that the inventories table and order_items table are related through the product_id column. The following statement creates the materialized view:
CREATE MATERIALIZED VIEW oe.inventories REFRESH FAST FOR UPDATE AS SELECT * FROM oe.inventories@orc1.world i WHERE i.quantity_on_hand > 0 AND EXISTS (SELECT * FROM oe.order_items@orc1.world o WHERE i.product_id = o.product_id);
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Note: To create this |
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The materialized view created by this statement is fast refreshable and updatable. If new inventories that are greater than zero are identified for products in the order_items table, then the new data will be propagated to the materialized view site during the subsequent refresh process. Similarly, if a customer cancels an order for a product and there are no other orders for the product in the order_items table, then the inventories for the product will be removed from the materialized view during the subsequent refresh process.
In situations where you want a single materialized view to contain data that matches the complete results of two or more different queries, you can use the UNION operator. When you use the UNION operator to create a materialized view, you have two SELECT statements around each UNION operator, one is above it and one is below it. The resulting materialized view contains rows selected by either query.
You can use the UNION operator as a way to create fast refreshable materialized views that satisfy "or" conditions without using the OR expression in the WHERE clause of a subquery. Under some conditions, using an OR expression in the WHERE clause of a subquery causes the resulting materialized view to be complex, and therefore not fast refreshable.
| See Also:
"Restrictions for Materialized Views with Subqueries" for more information about the |
For example, suppose a salesperson wants the product information for the products in a particular category_id that are either in a warehouse in California or contain the word "Rouge" in their translated product descriptions (for the French translation). The following statement uses the UNION operator and subqueries to capture this data in a materialized view for products in category_id 29:
CREATE MATERIALIZED VIEW oe.product_information REFRESH FAST FOR UPDATE AS SELECT * FROM oe.product_information@orc1.world pi WHERE pi.category_id = 29 AND EXISTS (SELECT * FROM oe.product_descriptions@orc1.world pd WHERE pi.product_id = pd.product_id AND pd.translated_description LIKE '%Rouge%') UNION SELECT * FROM oe.product_information@orc1.world pi WHERE pi.category_id = 29 AND EXISTS (SELECT * FROM oe.inventories@orc1.world i WHERE pi.product_id = i.product_id AND EXISTS (SELECT * FROM oe.warehouses@orc1.world w WHERE i.warehouse_id = w.warehouse_id AND EXISTS (SELECT * FROM hr.locations@orc1.world l WHERE w.location_id = l.location_id AND l.state_province = 'California')));
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Note: To create the |
Figure 3-6 shows the relationships of the master tables involved in this statement.
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In addition to the UNION operation, this statement contains the following subqueries:
product_information table and the product_descriptions table. This subquery is one to many because one product can have multiple product descriptions (for different languages).product_information table and the inventories table. This subquery is one to many because a product can be in many inventories.inventories table and the warehouses table. This subquery is many to one because many inventories can be stored in one warehouse.warehouses table and the locations table. This subquery is many to one because many warehouses can be in one location.The materialized view created by this statement is fast refreshable and updatable. If a new product is added that is stored in a warehouse in California or that has the string "Rouge" in the translated product description, then the new data will be propagated to the product_information materialized view during the subsequent refresh process.
The defining query of a materialized view with a subquery is subject to several restrictions to preserve the materialized view's fast refresh capability.
The following are restrictions for fast refresh materialized views with subqueries:
EXISTS condition, but not the NOT EXISTS condition.EXISTS to connect each nested level (IN is not allowed).EXISTS expression.AND conditions, but each OR condition may only reference columns contained within one row. Multiple OR conditions within a subquery can be connected with an AND condition.|
Note: If the |
| See Also:
"Primary Key Materialized Views" for more information about primary key materialized views |
The following are restrictions for fast refresh materialized views with unions containing subqueries:
UNIONS.The following statement creates the oe.orders materialized view. This materialized view is fast refreshable because the subquery in each union block satisfies the restrictions for subqueries described in "Restrictions for Materialized Views with Subqueries".
CREATE MATERIALIZED VIEW oe.orders REFRESH FAST AS SELECT * FROM oe.orders@orc1.world o WHERE EXISTS (SELECT * FROM oe.customers@orc1.world c WHERE o.customer_id = c.customer_id AND c.credit_limit > 50) UNION SELECT * FROM oe.orders@orc1.world o WHERE EXISTS (SELECT * FROM oe.customers@orc1.world c WHERE o.customer_id = c.customer_id AND c.account_mgr_id = 30);
Notice that one of the restrictions for subqueries states that each table can be in only one EXISTS expression. Here, the customers table appears in two EXISTS expressions, but the EXISTS expressions are in separate UNION blocks. Because the restrictions described in "Restrictions for Materialized Views with Subqueries" only apply to each UNION block, not to the entire CREATE MATERIALIZED VIEW statement, the materialized view is fast refreshable.
In contrast, the materialized view created with the following statement cannot be fast refreshed because the orders table is referenced in two different EXISTS expressions within the same UNION block:
CREATE MATERIALIZED VIEW oe.orders AS SELECT * FROM oe.orders@orc1.world o WHERE EXISTS (SELECT * FROM oe.customers@orc1.world c WHERE o.customer_id = c.customer_id -- first reference to orders table AND c.credit_limit > 50 AND EXISTS (SELECT * FROM oe.orders@orc1.world o WHERE order_total > 5000 AND o.customer_id = c.customer_id)) -- second reference to orders table UNION SELECT * FROM oe.orders@orc1.world o WHERE EXISTS (SELECT * FROM oe.customers@orc1.world c WHERE o.customer_id = c.customer_id AND c.account_mgr_id = 30);
To determine whether a materialized view's subquery satisfies the restrictions detailed in the previous section, create the materialized view with fast refresh. Oracle returns errors if the materialized view violates any restrictions for subquery materialized views. If you specify force refresh, then you may not receive any errors because, when a force refresh is requested, Oracle automatically performs a complete refresh if it cannot perform a fast refresh.
You can also use the EXPLAIN_MVIEW procedure in the DBMS_MVIEW package to determine the following information about an existing materialized view or a proposed materialized view that does not yet exist:
This information can be stored in a varray or in the MV_CAPABILITIES_TABLE. If you want to store the information in the table, then, before you run the EXPLAIN_MVIEW procedure, you must build this table by running the utlxmv.sql script in the Oracle_home/rdbms/admin directory.
For example, to determine the capabilities of the oe.orders materialized view, enter:
EXECUTE DBMS_MVIEW.EXPLAIN_MVIEW ('oe.orders');
Or, if the materialized view does not yet exist, then you can supply the query that you want to use to create it:
BEGIN DBMS_MVIEW.EXPLAIN_MVIEW ('SELECT * FROM oe.orders@orc1.world o WHERE EXISTS (SELECT * FROM oe.customers@orc1.world c WHERE o.customer_id = c.customer_id AND c.credit_limit > 500)'); END; /
Query the MV_CAPABILITIES_TABLE to see the results.
| See Also:
Oracle Data Warehousing Guide for more information about the |
The ability to create materialized views that are based on other materialized views enables you to create multitier materialized views. Materialized views that are based on other materialized views can be read-only or updatable. The arrows in Figure 3-7 represent database links.
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When you are using multitier materialized views, the materialized view based on a master table is called a level 1 materialized view. Then, a materialized view based on the level 1 materialized view is called a level 2 materialized view. Next is level 3 and so on. Figure 3-8 shows these levels.
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A materialized view that is acting as the master for another materialized view is called a master materialized view. A materialized view at any level can be a master materialized view, and, as you can see in Figure 3-8, a master materialized view can have more than one materialized view based on it. In Figure 3-8, two level 2 materialized views are based on one level 1 materialized view.
Figure 3-9 illustrates an example that shows a master materialized view at level 1 (orders_1) and level 2 (orders_2).
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The master for the level 1 materialized view orders_1 is the master table orders at the master site, but, starting with level 2, each materialized view has a master materialized view at the level above it. For example, the master for the level 2 materialized view orders_2 is the level 1 materialized view orders_1.
A master materialized view functions the same way a master table does at a master site. That is, changes pushed from a level 2 materialized view to a level 1 materialized view are handled in exactly the same way that changes pushed from a level 1 materialized view to a master table are handled.
A receiver must be registered at a master materialized view site. The receiver is responsible for receiving and applying the deferred transactions from the propagator at multitier materialized view sites that are based on the master materialized view.
Multitier materialized views offer greater flexibility in the design of a replication environment. Some materialized view sites may not need to replicate all of the data in master tables, and, in fact, these sites may not have the storage capacity for all of the data. In addition, replicating less data means that there is less activity on the network.
Multitier materialized views are ideal for organizations that are structured on three or more levels or constrained by limited network resources. For example, consider a company with international, national, and local offices. This company has many computers at both the national and local level that replicate data. Here, the replication environment can be configured with the master site at the international headquarters and with materialized views at the national level. These materialized views at the national level only replicate the subset of data from the master tables that apply to their respective countries. Now, using multitier materialized views, another level of materialized views at the local level can be based on the materialized views at the national level. The materialized views at the local level contain the subset of data from the level 1 materialized views that apply to their local customers.
Consider a multinational company that maintains all employee information at headquarters, which is in the in the United States. The company uses the tables in the hr schema to maintain the employee information. This company has one main office in 14 countries and many regional offices for cities in these countries.
For example, the company has one main office for all of the United Kingdom, but it also has an office in the city of London. The United Kingdom office maintains employee information for all of the employees in the United Kingdom, while the London office only maintains employee information for the employees at the London office. In this scenario, the hr.employees master table is at headquarters in the United States and each regional office has a an hr.employees materialized view that only contains the necessary employee information.
The following statement creates the hr.employees materialized view for the United Kingdom office. The statement queries the master table in the database at headquarters, which is orc1.world. Notice that the statement uses subqueries so that the materialized view only contains employees whose country_id is UK.
CREATE MATERIALIZED VIEW hr.employees REFRESH FAST FOR UPDATE AS SELECT * FROM hr.employees@orc1.world e WHERE EXISTS (SELECT * FROM hr.departments@orc1.world d WHERE e.department_id = d.department_id AND EXISTS (SELECT * FROM hr.locations@orc1.world l WHERE l.country_id = 'UK' AND d.location_id = l.location_id));
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Note: To create this
See "Logging Columns in the Materialized View Log" for more information. |
The following statement creates the hr.employees materialized view for the London office based on the level 1 materialized view at the United Kingdom office. The statement queries the materialized view in the database at the United Kingdom office, which is reg_uk.world. Notice that the statement uses subqueries so that the materialized view only contains employees whose city is London.
CREATE MATERIALIZED VIEW hr.employees REFRESH FAST FOR UPDATE AS SELECT * FROM hr.employees@reg_uk.world e WHERE EXISTS (SELECT * FROM hr.departments@reg_uk.world d WHERE e.department_id = d.department_id AND EXISTS (SELECT * FROM hr.locations@reg_uk.world l WHERE l.city = 'London' AND d.location_id = l.location_id));
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Note: To create this
See "Logging Columns in the Materialized View Log" for more information. |
Both master materialized views and materialized views based on materialized views must:
The following types of materialized views cannot be masters for updatable materialized views:
However, these types of materialized views can be masters for read-only materialized views.
Updatable materialized views based on materialized views must:
PUBLIC at the master materialized view site.Oracle object types are user-defined datatypes that make it possible to model complex real-world entities such as customers and orders as single entities, called objects, in the database. You create object types using the CREATE TYPE ... AS OBJECT statement. You can replicate object types and objects between master sites and materialized view sites in a replication environment.
An Oracle object that occupies a single column in a table is called a column object. Typically, tables that contain column objects also contain other columns, which may be built-in datatypes, such as VARCHAR2 and NUMBER. An object table is a special kind of table in which each row represents an object. Each row in an object table is a row object.
You can also replicate collections. Collections are user-defined datatypes that are based on VARRAY and nested table datatypes. You create varrays with the CREATE TYPE ... AS VARRAY statement, and you create nested tables with the CREATE TYPE ... AS TABLE statement.
| See Also:
Oracle Database Application Developer's Guide - Object-Relational Features for detailed information about user-defined types, Oracle objects, and collections. This section assumes a basic understanding of the information in that book. |
User-defined types include all types created using the CREATE TYPE statement, including object, nested table, VARRAY, and indextype. To replicate schema objects based on user-defined types, the user-defined types themselves must exist, and must be exactly the same, at all replication sites. In addition, Oracle Corporation recommends that you add a user-defined type to the replication group in which it is used, but doing so is not required.
When replicating user-defined types and the schema objects on which they are based, the following conditions apply:
CREATE TYPE cust_address_typ AS OBJECT (street_address VARCHAR2(40), postal_code VARCHAR2(10), city VARCHAR2(30), state_province VARCHAR2(10), country_id CHAR(2)); /
At all replication sites, street_address must be the first attribute for this type and must be VARCHAR2(40), postal_code must be the second attribute and must be VARCHAR2(10), city must be the third attribute and must be VARCHAR2(30), and so on.
DBA_TYPE_VERSIONS data dictionary view.To ensure that a user-defined type is exactly the same at all replication sites, you must create the user-defined type at the materialized view site in one of the following ways:
Oracle Corporation recommends that you use the replication management API to create, modify, or drop any replicated object at a materialized view site, including user-defined types. If you do not use the replication management API for these actions, then replication errors may result.
Specifically, to create a user-defined type that is exactly the same at the master site and the materialized view site, use the CREATE_MVIEW_REPOBJECT procedure in the DBMS_REPCAT package. This procedure creates the type and adds it to a materialized view group. To drop a user-defined type from the materialized view site, use the DROP_MVIEW_REPOBJECT procedure in the DBMS_REPCAT package.
You can use a CREATE TYPE statement at the materialized view site to create the type. It may be necessary to do this if you want to create a read-only materialized view that uses the type, and you do not want to add the read-only materialized view to a materialized view group.
If you choose this option, then you must ensure the following:
You can find the object identifier for a type by querying the DBA_TYPES data dictionary view. For example, to find the object identifier (OID) for the cust_address_typ, enter the following query:
SELECT TYPE_OID FROM DBA_TYPES WHERE TYPE_NAME = 'CUST_ADDRESS_TYP'; TYPE_OID -------------------------------- 6F9BC33653681B7CE03400400B40A607
Now that you know the OID for the type at the master site, complete the following steps to create the type at the materialized view site:
CREATE TYPE statement and specify the OID:
CREATE TYPE oe.cust_address_typ OID '6F9BC33653681B7CE03400400B40A607' AS OBJECT ( street_address VARCHAR2(40), postal_code VARCHAR2(10), city VARCHAR2(30), state_province VARCHAR2(10), country_id CHAR(2)); /
The type is now ready for use at the materialized view site.
A read-only materialized view can replicate specific attributes of a column object without replicating other attributes. For example, using the cust_address_typ user-defined datatype described in the previous section, suppose a customers_sub master table is created at master site orc1.world:
CREATE TABLE oe.customers_sub ( customer_id NUMBER(6) PRIMARY KEY, cust_first_name VARCHAR2(20), cust_last_name VARCHAR2(20), cust_address oe.cust_address_typ);
You can create the following read-only materialized view at a remote materialized view site:
CREATE MATERIALIZED VIEW oe.customers_mv1 AS SELECT customer_id, cust_last_name, c.cust_address.postal_code FROM oe.customers_sub@orc1.world c;
Notice that the postal_code attribute is specified in the cust_address column object.
An updatable materialized view must replicate the entire column object. It cannot replicate some attributes of a column object but not others. The following statement is valid because it specifies the entire cust_address column object:
CREATE MATERIALIZED VIEW oe.customers_mv1 FOR UPDATE AS SELECT customer_id, cust_last_name, cust_address FROM oe.customers_sub@orc1.world;
| See Also:
"Column Subsetting with Deployment Templates" for more information about column subsetting with deployment templates. Column subsetting is supported only through the use of deployment templates. |
If a materialized view is based on an object table and is created using the OF type clause, then the materialized view is called an object materialized view. An object materialized view is structured in the same way as an object table. That is, an object materialized view is composed of row objects. If a materialized view that is based on an object table is created without using the OF type clause, then the materialized view is read-only and is not an object materialized view. That is, such a materialized view has regular rows, not row objects.
To create a materialized view based on an object table, the types on which the materialized view depends must exist at the materialized view site, and each type must have the same object identifier as it does at the master site.
After the required types are created at the materialized view site, you can create an object materialized view by specifying the OF type clause.
For example, suppose the following SQL statements create the oe.categories_tab object table at the orc1.world master site:
CREATE TYPE oe.category_typ AS OBJECT (category_name VARCHAR2(50), category_description VARCHAR2(1000), category_id NUMBER(2)) NOT FINAL; / CREATE TABLE oe.categories_tab OF oe.category_typ (category_id PRIMARY KEY);
If you want to create materialized views that can be fast refreshed based on the oe.categories_tab master table, then create a materialized view log for this table:
CREATE MATERIALIZED VIEW LOG ON oe.categories_tab WITH OBJECT ID;
The WITH OBJECT ID clause is required when you create a materialized view log on an object table.
After you create the oe.category_typ type at the materialized view site with the same object identifier as the same type at the master site, you can create an object materialized view based on the oe.categories_tab object table using the OF type clause, as in the following SQL statement:
CREATE MATERIALIZED VIEW oe.categories_objmv OF oe.category_typ REFRESH FAST FOR UPDATE AS SELECT * FROM oe.categories_tab@orc1.world;
Here, type is oe.category_typ.
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Note: The types must be exactly the same at the materialized view site and master site. See "Type Agreement at Replication Sites" for more information. |
If you create a materialized view based on an object table without using the OF type clause, then the materialized view is read-only, and it loses the object properties of the object table on which it is based. That is, the resulting read-only materialized view contains one or more of the columns of the master, but each row functions as a row in a relational table. The rows are not row objects.
For example, you can create a materialized view base on the categories_tab master by using the following SQL statement:
CREATE MATERIALIZED VIEW oe.categories_relmv AS SELECT * FROM oe.categories_tab@orc1.world;
In this case, the categories_relmv materialized view must be read-only, and the rows in this materialized view function in the same way as rows in a relational table.
An object materialized view inherits the object identifier (OID) specifications of its master. If the master has a primary key-based OID, then the OIDs of row objects in the materialized view are primary key-based. If the master has a system generated OID, then the OIDs of row objects in the materialized view are system generated. Also, the OID of each row in the object materialized view matches the OID of the same row in the master, and the OIDs are preserved during refresh of the materialized view. Consequently, REFs to the rows in the object table remain valid at the materialized view site.
Collection columns are columns based on varray and nested table datatypes. Oracle supports the creation of materialized views with collection columns.
If the collection column is a nested table, then you can optionally specify the nested_table_storage_clause during materialized view creation. The nested_table_storage_clause lets you specify the name of the storage table for the nested table in the materialized view. For example, suppose you create the master table people_reltab at the master site orc1.world that contains the nested table phones_ntab:
CREATE TYPE oe.phone_typ AS OBJECT ( location VARCHAR2(15), num VARCHAR2(14)); / CREATE TYPE oe.phone_ntabtyp AS TABLE OF oe.phone_typ; / CREATE TABLE oe.people_reltab ( id NUMBER(4) CONSTRAINT pk_people_reltab PRIMARY KEY, first_name VARCHAR2(20), last_name VARCHAR2(20), phones_ntab oe.phone_ntabtyp) NESTED TABLE phones_ntab STORE AS phone_store_ntab ((PRIMARY KEY (NESTED_TABLE_ID, location)));
Notice the PRIMARY KEY specification in the last line of the preceding SQL statement. You must specify a primary key for the storage table if you plan to create materialized views based on its parent table. In this case, the storage table is phone_store_ntab and the parent table is people_reltab.
If you want to create materialized views that can be fast refreshed, then create a materialized view log on both the parent table and the storage table, specifying the nested table column as a filter column for the parent table's materialized view log:
CREATE MATERIALIZED VIEW LOG ON oe.people_reltab; ALTER MATERIALIZED VIEW LOG ON oe.people_reltab ADD(phones_ntab); CREATE MATERIALIZED VIEW LOG ON oe.phone_store_ntab WITH PRIMARY KEY;
At the materialized view site, create the required types, ensuring that the object identifier for each type is the same as the object identifier at the master site. Then, you can create a materialized view based on people_reltab and specify its storage table using the following statement:
CREATE MATERIALIZED VIEW oe.people_reltab_mv NESTED TABLE phones_ntab STORE AS phone_store_ntab_mv REFRESH FAST AS SELECT * FROM oe.people_reltab@orc1.world;
In this case, the nested_table_storage_clause is the line that begins with "NESTED TABLE" in the previous example, and it specifies that the storage table's name is phone_store_ntab_mv. The nested_table_storage_clause is optional. If you do not specify this clause, Oracle automatically names the storage table. To view the name of a storage table, query the DBA_NESTED_TABLES data dictionary table.
The storage table:
Because the storage table inherits the primary key constraint of the master's storage table, do not specify PRIMARY KEY in the STORE AS clause.
The following actions are not allowed directly on the storage table of a nested table in a materialized view:
These actions can occur indirectly when they are performed on the materialized view that contains the nested table. In addition, you cannot replicate a subset of the columns in a storage table.
| See Also:
Oracle Database SQL Reference for more information about the nested_table_storage_clause, which is fully documented in the |
The following restrictions apply to materialized views with collection columns:
You can create materialized views with REF columns. A REF is an Oracle built-in datatype that is a logical "pointer" to a row object in an object table. A scoped REF is a REF that can contain references only to a specified object table, while an unscoped REF can contain references to any object table in the database that is based on the corresponding object type. A scoped REF requires less storage space and provides more efficient access than an unscoped REF.
As you will see in the following section, you can rescope a REF column to a local materialized view or table at the materialized view site during creation of the materialized view. If you do not rescope the REF column, then they continue to point to the remote master. Unscoped REF columns always continue to point to the master. When a REF column at a materialized view site points to a remote master, the REFs are considered dangling. In SQL, dereferencing a dangling REF returns a NULL. Also, PL/SQL only supports dereferencing REFs by using the UTL_OBJECT package and raises an exception for dangling REFs.
If you are creating a materialized view based on a master that has a scoped REF column, then you can rescope the REF to a different object table or object materialized view at the materialized view site. Typically, you would rescope the REF column to the local object materialized view instead of the original remote object table. To rescope a materialized view, you can either use the SCOPE FOR clause in the CREATE MATERIALIZED VIEW statement, or you can use the ALTER MATERIALIZED VIEW statement after creating the materialized view. If you do not rescope the REF column, then the materialized view retains the REF scope of the master.
For example, suppose you create the customers_with_ref master table at the orc1.world master site using the following statements:
-- Create the user-defined datatype cust_address_typ. CREATE TYPE oe.cust_address_typ AS OBJECT (street_address VARCHAR2(40), postal_code VARCHAR2(10), city VARCHAR2(30), state_province VARCHAR2(10), country_id CHAR(2)); / -- Create the object table cust_address_objtab. CREATE TABLE oe.cust_address_objtab OF oe.cust_address_typ; -- Create table with REF to cust_address_typ. CREATE TABLE oe.customers_with_ref ( customer_id NUMBER(6) PRIMARY KEY, cust_first_name VARCHAR2(20), cust_last_name VARCHAR2(20), cust_address REF oe.cust_address_typ SCOPE IS oe.cust_address_objtab);
Assuming the cust_address_typ exists at the materialized view site with the same object identifier as the type at the master site, you can create a cust_address_objtab_mv object materialized view using the following statement:
CREATE MATERIALIZED VIEW oe.cust_address_objtab_mv OF oe.cust_address_typ AS SELECT * FROM oe.cust_address_objtab@orc1.world;
Now, you can create a materialized view of the customers_with_ref master table and rescope the REF to the cust_address_objtab_mv materialized view using the following statement:
CREATE MATERIALIZED VIEW oe.customers_with_ref_mv (SCOPE FOR (cust_address) IS oe.cust_address_objtab_mv) AS SELECT * FROM oe.customers_with_ref@orc1.world;
If you want to use the SCOPE FOR clause when you create a materialized view, then remember to create the materialized view or table specified in the SCOPE FOR clause first. Otherwise, you cannot specify the SCOPE FOR clause during materialized view creation. For example, if you had created the customers_with_ref_mv materialized view before you created the cust_address_objtab_mv materialized view, then you could not use the SCOPE FOR clause when you created the customers_with_ref_mv materialized view. In this case, the REFs are considered dangling because they point back to the object table at the remote master site.
However, even if you do not use the SCOPE FOR clause when you are creating a materialized view, you can alter the materialized view to specify a SCOPE FOR clause. For example, you can alter the customers_with_ref_mv materialized view with the following statement:
ALTER MATERIALIZED VIEW oe.customers_with_ref_mv MODIFY SCOPE FOR (cust_address) IS oe.cust_address_objtab_mv;
If you create a materialized view based on a remote master with an unscoped REF column, then the REF column is created in the materialized view, but the REFs are considered dangling because they point to a remote database.
If necessary, you can log REF columns in the materialized view log.
| See Also:
"Logging Columns in the Materialized View Log" for more information |
If the WITH ROWID clause is specified for a REF column, then Oracle maintains the rowid of the object referenced in the REF. Oracle can find the object referenced directly using the rowid contained in the REF, without the need to fetch the rowid from the OID index. Therefore, you use the WITH ROWID clause to specify a rowid hint. The WITH ROWID clause is not supported for scoped REFs.
Replicating a REF created using the WITH ROWID clause results in an incorrect rowid hint at each replication site except the site where the REF was first created or modified. The ROWID information in the REF is meaningless at the other sites, and Oracle does not correct the rowid hint automatically. Invalid rowid hints can cause performance problems. In this case, you must use the ANALYZE statement to correct rowid hints at each replication site where they are incorrect.
| See Also:
Oracle Database SQL Reference for more information about the |
At the master site and master materialized view site, an Oracle database automatically registers information about a materialized view based on its master table(s) or master materialized view(s). The following sections explain more about Oracle's materialized view registration mechanism.
A level 1 materialized view or materialized view group is registered at its master site. A level 2 or higher multitier materialized view or materialized view group is registered at its master materialized view site, not at the master site. You can query the DBA_REGISTERED_MVIEWS data dictionary view at a master site or master materialized view site to list the following information about a remote materialized view:
You can also query the DBA_MVIEW_REFRESH_TIMES view at a master site or master materialized view site to obtain the last refresh times for each materialized view. Administrators can use this information to monitor materialized view activity and coordinate changes to materialized view sites if a master table or master materialized view needs to be dropped, altered, or relocated.
Oracle automatically registers a materialized view at its master site or master materialized view site when you create the materialized view, and unregisters the materialized view when you drop it. The same applies to materialized view groups.
When you drop a master materialized view, Oracle does not automatically drop the materialized views based on it. You must drop these materialized views manually. If you do not drop such a materialized view and the materialized view tries to refresh to a master materialized view that has been dropped, Oracle returns an error.
For example, suppose a materialized view named orders_lev1 is based on the oe.orders master table, and a materialized view named orders_lev2 is based on orders_lev1. If you drop orders_lev1, orders_lev2 remains intact. However, if you try to refresh orders_lev2, Oracle returns an error because orders_lev1 no longer exists.
If necessary, you can maintain registration manually. Use the REGISTER_MVIEW and UNREGISTER_MVIEW procedures of the DBMS_MVIEW package at the master site or master materialized view site to add, modify, or remove materialized view registration information.
| See Also:
The |
The objects used in materialized view replication are depicted in Figure 3-10. Some of these objects are optional and are used only as needed to support the created materialized view environment. For example, if you have a read-only materialized view, then you do not have an updatable materialized view log nor an internal trigger at the materialized view site. Also, if you have a complex materialized view that cannot be fast refreshed, then you may not have a materialized view log at the master site.
Text description of the illustration repln096.gif
Notice that a master materialized view may have both a materialized view log and an updatable materialized view log. Make sure you account for the extra space required by these logs when you are planning for your master materialized view site.
The three mechanisms displayed in Figure 3-11 are required at a master site and at a master materialized view site to support fast refreshing of materialized views.
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Note: Master materialized views contain the mechanisms described in "Materialized View Site Mechanisms" in addition to the mechanisms described in this section. |
Text description of the illustration repln071.gif
The master table or master materialized view is the basis for the materialized view. A master table is located at the target master site while a master materialized view is located at a master materialized view site. If the master is a master table, then this table may be involved in both materialized view replication and multimaster replication. Remember that a materialized view points to only one master site or master materialized view site. Changes made to the master table or master materialized view, as recorded by the materialized view log, are propagated to the materialized view during the refresh process.
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Note: Fast refreshable materialized views can be created based on master tables and master materialized views only. Materialized views based on a synonym or a view must be complete refreshed. |
When changes are made to the master table or master materialized view using DML, an internal trigger records information about the affected rows in the materialized view log. This information includes the values of the primary key, rowid, or object id, or both, as well as the values of the other columns logged in the materialized view log. This is an internal AFTER ROW trigger that is automatically activated when you create a materialized view log for the target master table or master materialized view. It inserts a row into the materialized view log whenever an INSERT, UPDATE, or DELETE statement modifies the table's data. This trigger is always the last trigger to fire.
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Note: When the materialized view contains a subquery, you may need to log columns referenced in a subquery. See "Data Subsetting with Materialized Views" for information on subquery materialized views and "Logging Columns in the Materialized View Log" for more information about the columns that must be logged. |
A materialized view log is required on a master if you want to fast refresh materialized views based on the master. When you create a materialized view log for a master table or master materialized view, Oracle creates an underlying table as the materialized view log. A materialized view log can hold the primary keys, rowids, or object identifiers of rows, or both, that have been updated in the master table or master materialized view. A materialized view log can also contain other columns to support fast refreshes of materialized views with subqueries.
The name of a materialized view log's table is MLOG$_master_name. The materialized view log is created in the same schema as the target master. One materialized view log can support multiple materialized views on its master table or master materialized view. As described in the previous section, the internal trigger adds change information to the materialized view log whenever a DML transaction has taken place on the target master.
Following are the types of materialized view logs:
ROWID, and the object identifier of the affected rows. Such a materialized view log supports primary key, ROWID, and object materialized views, which is helpful for environments that have all three types of materialized views based on a master.A combination materialized view log works in the same manner as a materialized view log that tracks only one type of value, except that more than one type of value is recorded. For example, a combination materialized view log can track both the primary key and the rowid of the affected row are recorded.
Though the difference between materialized view logs based on primary keys and rowids is small (one records affected rows using the primary key, while the other records affected rows using the physical rowid), the practical impact is large. Using rowid materialized views and materialized view logs makes reorganizing and truncating your master tables difficult because it prevents your ROWID materialized views from being fast refreshed. If you reorganize or truncate your master table, then your rowid materialized view must be COMPLETE refreshed because the rowids of the master table have changed.
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Note:
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You can create materialized view logs on object tables. For example, the following SQL statement creates the categories_typ user-defined type:
CREATE TYPE oe.category_typ AS OBJECT (category_name VARCHAR2(50), category_description VARCHAR2(1000), category_id NUMBER(2)) NOT FINAL; /
When you create an object table based on this type, you can either specify that the object identifier should be system-generated or primary key-based:
CREATE TABLE oe.categories_tab_sys OF oe.category_typ (category_id PRIMARY KEY) OBJECT ID SYSTEM GENERATED; CREATE TABLE oe.categories_tab_pkbased OF oe.category_typ (category_id PRIMARY KEY) OBJECT ID PRIMARY KEY;
When you create a materialized view log on an object table, you must log the object identifier by specifying the WITH OBJECT ID clause, but you can also specify that the primary key is logged if the object identifier is primary key-based.
For example, the following statement creates a materialized view log for the categories_tab_sys object table and specifies that the object identifier column be logged:
CREATE MATERIALIZED VIEW LOG ON oe.categories_tab_sys WITH OBJECT ID;
The following statement creates a materialized view log for the categories_tab_pkbased object table and specifies that the primary key column be logged along with the object identifier column:
CREATE MATERIALIZED VIEW LOG ON oe.categories_tab_pkbased WITH OBJECT ID, PRIMARY KEY;
Materialized view logs are exported with the schema name explicitly given in the DDL statements. Therefore, materialized view logs cannot be imported into a schema that is different than the schema from which they were exported. An error will be written to the import log file and the items will not be imported if you attempt either of the following imports:
REMAP_SCHEMA import parameter to import an export dump file that contains materialized view logs in the specified schemaFROMUSER and TOUSER import parameters to import an export dump file that contains materialized view logsWhen a materialized view is created, additional mechanisms are created at the materialized view site to support the materialized view. Specifically, at least one index is created. If you create an updatable materialized view, then an internal trigger and a local log (the updatable materialized view log) are also created at the materialized view site.
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Note:
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At least one index is created at the remote materialized view site for each primary key materialized view. This index corresponds to the primary key of the target master table or master materialized view and has the name I_SNAP$_materialized view_name. Additional indexes may be created by Oracle at the remote materialized view site to support fast refreshing of materialized views with subqueries.
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Note: When |
An updatable materialized view log (USLOG$_materialized_view_name) is used to determine which rows must be overwritten or removed from a materialized view during a fast refresh. A read-only materialized view does not create this log, and Oracle does not use this log during a complete refresh because, in this case, the entire materialized view is replaced.
If there is a conflict between an updatable materialized view and a master, then, during a refresh, the conflict may result in an entry in the updatable materialized view log that is not in the materialized view log at the master site or master materialized view site. In this case, Oracle uses the updatable materialized view log to remove or overwrite the row in the materialized view.
The updatable materialized view log is also used when you fast refresh a writeable materialized view, as illustrated in the following scenario:
Like the internal trigger at the master site or master materialized view site, the internal trigger at the materialized view site records DML changes applied to an updatable materialized view in the USLOG$_materialized_view_name log. A read-only materialized view does not create this trigger.
In addition to the materialized view mechanisms described in the previous section, several other mechanisms organize the materialized views at the materialized view site. These mechanisms maintain organizational consistency between the materialized view site and its master site or master materialized view site, as well as transactional (read) consistency with the target replication group. These mechanisms are materialized view groups and refresh groups.
A materialized view group in a replication system maintains a partial or complete copy of the objects at the target replication group at its master site or master materialized view site. Materialized view groups cannot span the boundaries of the replication group at the master site or master materialized view site. Figure 3-12 displays the correlation between Groups A and B at the master site and Groups A and B at the materialized view site.
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Group A at the materialized view site (see Figure 3-12) contains only some of the objects in the corresponding Group A at the master site. Group B at the materialized view site contains all objects in Group B at the master site. Under no circumstances, however, could Group B at the materialized view site contain objects from Group A at the master site. As illustrated in Figure 3-12, a materialized view group has the same name as the master group on which the materialized view group is based. For example, a materialized view group based on a personnel master group is also named personnel.
In addition to maintaining organizational consistency between materialized view sites and their master sites or master materialized view sites, materialized view groups are required for supporting updatable materialized views. If a materialized view does not belong to a materialized view group, then it must be a read-only or writeable materialized view.
A materialized view group owner enables you to have multiple materialized view groups based on a single replication group at a master site or master materialized view site. For example, if you need to support multiple users within the same database at a materialized view site, then you may want to create multiple materialized view groups for a target master group. Doing so enables you to define different subqueries for your materialized view definitions in each materialized view group, and allows each user to access only his or her subset of the data.
Defining multiple materialized view groups gives you the ability to control data sets at a group level. For example, if you create different materialized view groups named hr, personnel, and manufacturing for these departments, then you can administer each department as a group, instead of as individual objects. For example, you can drop the objects as a group.
To accommodate multiple materialized view groups at the same materialized view site that are based on a single replication group at the master site or master materialized view site, you can specify a group owner as an additional identifier when defining your materialized view group.
After you have defined your materialized view group with the addition of a group owner, you add your materialized view objects to the target materialized view group by defining the same group owner. When using a group owner, remember that each materialized view object must have a unique name. If a single materialized view site has multiple materialized view groups based on the same replication group at the master site or master materialized view site, then a materialized view group's object names cannot have the same name as materialized view objects in another materialized view group. To avoid conflicting names, you may want to append the group owner name to the end of your object name. For example, if you have group owners hr and ac, then you might name the employees materialized view object as employees_hr and employees_ac, respectively.
Additionally, all materialized view groups that are based on the same replication group at a single materialized view site must "point" to the same master site or master materialized view site. For example, if the hr_repg materialized view group owned by hr is based on the associated master group at the orc1.world master site, then the hr_repg materialized view group owned by personnel must also be based on the associated master group at orc1.world, assuming that the hr and personnel owned groups are at the same materialized view site.
| See Also:
Oracle Database Advanced Replication Management API Reference for more information on defining a group owner using the replication management API |
To preserve referential integrity and transactional (read) consistency among multiple materialized views, Oracle has the ability to refresh individual materialized views as part of a refresh group. After refreshing all of the materialized views in a refresh group, the data of all materialized views in the group correspond to the same transactionally consistent point in time.
As illustrated in Figure 3-13, a refresh group can contain materialized views from more than one materialized view group to maintain transactional (read) consistency across replication group boundaries.
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While you may want to define a single refresh group for each materialized view group, it may be more efficient to use one large refresh group that contains objects from multiple materialized view groups. Such a configuration reduces the amount of "overhead" needed to refresh your materialized views. A refresh group can contain up to 400 materialized views.
One configuration that you want to avoid is using multiple refresh groups to refresh the contents of a single materialized view group. Using multiple refresh groups to refresh the contents of a single materialized view group may introduce inconsistencies in the materialized view data, which may cause referential integrity problems at the materialized view site. Only use this type of configuration when you have in-depth knowledge of the database environment and can prevent any referential integrity problems.
There are a few trade-offs to consider when you are deciding on the size of your refresh groups. Oracle is optimized for large refresh groups. So, large refresh groups refresh faster than an equal number of materialized views in small refresh groups, assuming that the materialized views in the groups are similar. For example, refreshing a refresh group with 100 materialized views is faster than refreshing five refresh groups with 20 materialized views each. Also, large refresh groups enable you to refresh a greater number of materialized views with only one call to the replication management API.
During the refresh of a refresh group, each materialized view in the group is locked at the materialized view site for the amount of time required to refresh all of the materialized views in the refresh group. This locking is required to prevent users from updating the materialized views during the refresh operation, because updates may make the data inconsistent. Therefore, having smaller refresh groups means that the materialized views are locked for less time when you perform a refresh.
Network connectivity must be maintained while performing a refresh. If the connectivity is lost or interrupted during the refresh, then all changes are rolled back so that the database remains consistent. Therefore, in cases where the network connectivity is difficult to maintain, consider using smaller refresh groups.
Advanced Replication includes an optimization for null refresh. That is, if there were no changes to the master tables or master materialized views since the last refresh for a particular materialized view, then almost no extra time is required for the materialized view during materialized view group refresh. However, for materialized views in an Oracle database prior to release 8.1, consider separating materialized views of master tables that are not updated often into a separate refresh group of their own. Doing so shortens the refresh time required for other materialized view groups that contain materialized views of master tables that are updated frequently.
Table 3-3 summarizes the advantages of large and small refresh groups.
| Advantages of Large Refresh Groups | Advantages of Small Refresh Groups |
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A materialized view's data does not necessarily match the current data of its master table or master materialized view at all times. A materialized view is a transactionally (read) consistent reflection of its master as the data existed at a specific point in time (that is, at creation or when a refresh occurs). To keep a materialized view's data relatively current with the data of its master, the materialized view must be refreshed periodically. A materialized view refresh is an efficient batch operation that makes a materialized view reflect a more current state of its master table or master materialized view.
A refresh of an updatable materialized view first pushes the deferred transactions at the materialized view site to its master site or master materialized view site. Then, the data at the master site or master materialized view site is pulled down and applied to the materialized view.
A row in a master table may be updated many times between refreshes of a materialized view, but the refresh updates the row in the materialized view only once with the current data. For example, a row in a master table may be updated 10 times since the last refresh of a materialized view, but the result is still only one update of the corresponding row in the materialized view during the next refresh.
Decide how and when to refresh each materialized view to make it more current. For example, materialized views based on masters that applications update often may require frequent refreshes. In contrast, materialized views based on relatively static masters usually require infrequent refreshes. In summary, analyze application characteristics and requirements to determine appropriate materialized view refresh intervals.
To refresh materialized views, Oracle supports several refresh types and methods of initiating a refresh.
Oracle can refresh a materialized view using either a fast, complete, or force refresh.
To perform a complete refresh of a materialized view, the server that manages the materialized view executes the materialized view's defining query, which essentially re-creates the materialized view. To refresh the materialized view, the result set of the query replaces the existing materialized view data. Oracle can perform a complete refresh for any materialized view. Depending on the amount of data that satisfies the defining query, a complete refresh can take a substantially longer amount of time to perform than a fast refresh.
If you perform a complete refresh of a master materialized view, then the next refresh performed on any materialized views based on this master materialized view must be a complete refresh. If a fast refresh is attempted for such a materialized view after its master materialized view has performed a complete refresh, then Oracle returns the following error:
ORA-12034 mview log is younger than last refresh
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Note: If a materialized view is complete refreshed, then set its |
To perform a fast refresh, the master that manages the materialized view first identifies the changes that occurred in the master since the most recent refresh of the materialized view and then applies these changes to the materialized view. Fast refreshes are more efficient than complete refreshes when there are few changes to the master because the participating server and network replicate a smaller amount of data.
You can perform fast refreshes of materialized views only when the master table or master materialized view has a materialized view log. Also, for fast refreshes to be faster than complete refreshes, each join column in the CREATE MATERIALIZED VIEW statement must have an index on it.
After a direct path load on a master table or master materialized view using SQL*Loader, a fast refresh does not apply the changes that occurred during the direct path load. Also, fast refresh does not apply changes that result from other types of bulk load operations on masters. Examples of these operations include some INSERT statements with an APPEND hint and some INSERT ... SELECT * FROM statements.
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If you have materialized views based on partitioned master tables, then you may be able to use Partition Change Tracking (PCT) to identify which materialized view rows correspond to a particular partition. PCT is also used to support fast refresh after partition maintenance operations on a materialized view's master table. PCT-based refresh on a materialized view is possible only if a number of conditions are satisfied.
| See Also:
Oracle Data Warehousing Guide for information about PCT and about PCT-based refresh |
If you have updatable multitier materialized views, then DML changes made to the multitier materialized view may be pulled back to this materialized view multiple times to ensure data consistency after each refresh of a materialized view. This behavior is best illustrated through an example.
Consider a replication environment with the following characteristics:
orc1.world has the oe.customers table.ca.us has the oe.customers_region updatable materialized view based on the oe.customers table at orc1.world.sf.ca has the oe.customers_sf updatable materialized view based on the oe.customers_region materialized view at ca.us.Given these characteristics, the following scenario may follow:
credit_limit for a customer is changed from 3000 to 5000 in the oe.customers_sf updatable materialized view at sf.casf.ca.oe.customers_sf pushes the new value for the credit_limit to oe.customers_region materialized view at ca.us.oe.customers_region materialized view at ca.us.credit_limit at the ca.us site is recorded in both the deferred transaction queue and the materialized view log a this level 1 materialized view site.oe.customers_sf pulls the credit_limit value of 5000 back down to this materialized view at sf.ca.oe.customers_region pushes the new value for the credit_limit to oe.customers master table at orc1.world.oe.customers master table at orc1.world.credit_limit at the orc1.world site is recorded in both the deferred transaction queue and the materialized view log a this master site.oe.customers_region pulls the credit_limit value of 5000 back down to this materialized view at ca.us.credit_limit at the ca.us site is recorded in the materialized view log a this level 1 materialized view site.oe.customers_sf pulls the credit_limit value of 5000 back down to this materialized view at sf.ca for a second time.To perform a force refresh of a materialized view, the server that manages the materialized view attempts to perform a fast refresh. If a fast refresh is not possible, then Oracle performs a complete refresh. Use the force setting when you want a materialized view to refresh if a fast refresh is not possible.
When creating a refresh group, you can configure the group so that Oracle automatically refreshes the group's materialized views at scheduled intervals. Conversely, you can omit scheduling information so that the refresh group needs to be refreshed manually or "on-demand." Manual refresh is an ideal solution when the refresh is performed with a dial-up network connection.
When you create a refresh group for automatic refreshing, you must specify a scheduled refresh interval for the group during the creation process. When setting a group's refresh interval, consider the following characteristics:
The following are examples of simple date expressions that you can use to specify an interval:
SYSDATE + 1/24
SYSDATE + 7
| See Also:
Oracle Database Administrator's Guide and Oracle Database SQL Reference for more information about date arithmetic |
Scheduled materialized view refreshes may not always be the appropriate solution for your environment. For example, immediately following a bulk data load into a master table, dependent materialized views no longer represent the master table's data. Rather than wait for the next scheduled automatic group refreshes, you can manually refresh dependent materialized view groups to immediately propagate the new rows of the master table to associated materialized views.
You may also want to refresh your materialized views on-demand when your materialized views are integrated with a sales force automation system located on a disconnected laptop. Developers designing the sales force automation software can create an application control, such as a button, that a salesperson can use to refresh the materialized views when they are ready to transfer the day's orders to the server after establishing a dial-up network connection.
The following example illustrates an on-demand refresh of the hr_refg refresh group:
execute DBMS_REFRESH.REFRESH('hr_refg');
To avoid any integrity constraint violations during refresh of materialized views, make non primary key integrity constraints on each materialized view deferrable. This requirement includes LOB columns with NOT NULL constraints. In addition, all materialized views that are related by foreign key constraints should be refreshed together or in the same refresh group.
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Note:
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| See Also:
Oracle Database SQL Reference for information about making constraints deferrable |
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