enable pct refresh on materialized view

When you create a materialized view, there must not be any VPD policies in effect against the base relations of the materialized view for the owner of the materialized view. If any VPD policies exist, then you must use the USING TRUSTED CONSTRAINTS clause when creating the materialized view. Oracle Database 479 pages Db:oracle:admin:start Oracle Company Oracle - Partitions (Table and Indexes) Oracle Database - (Logical) Segment (Database Object Storage) Oracle Database - SQL Oracle Database - Optimizer Statistics; One way to work around this restriction yet still create a materialized view containing the desired VPD-specified subset of rows is to create the materialized view in a user account that has no active VPD policies against the detail relations of the materialized view. So the longer you leave it between refreshes, the more data there will be. For example, instead of using one, long materialized view, you could create the following materialized views: By using two materialized views, you can incrementally maintain the materialized view my_groupby_mv. The set of tables in the path to detail table are called join dependent tables. Six modifications can be made to a materialized view. 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. An additional consideration is that you might want to use data compression on your infrequently updated partitions. Materialized views with set operators can now be created enabled for query rewrite. If the materialized view is being created with ON COMMIT REFRESH specified, then the owner of the materialized view requires an additional privilege if any of the tables in the defining query are outside the owner's schema. This materialized view is eligible for query rewrite because the ENABLE QUERY REWRITE clause has been included. times is not a partitioned table. *, cast('Y' 00000 - "cannot set the ON COMMIT refresh attribute for the materialized view" *Cause: The materialized view did not satisfy conditions for refresh at commit time. Scripting on this page enhances content navigation, but does not change the content in any way. With these permissions, the owner can publish a view or materialized view that other users can access, assuming they have been granted access to the view or materialized view. Some general tips and more information you can read in my blog post Materialized View Refresh for Dummies. The following example shows a UNION ALL of a materialized view with joins and a materialized view with aggregates. When you access a materialized view using query rewrite, the materialized view serves as an access structure much like an index. One way to work around this restriction yet still create a materialized view containing the desired VPD-specified subset of rows is to create the materialized view in a user account that has no active VPD policies against the detail relations of the materialized view. Partitioning a materialized view also has benefits for refresh, because the refresh procedure can then use parallel DML in more scenarios and PCT-based refresh can use truncate partition to efficiently maintain the materialized view. Using Query Rewrite with Virtual Private Database, Restrictions with Materialized Views and Virtual Private Database. The dependency of the materialized view log for the partition change track base table is removed. The materialized view is partitioned on the partitioning key column or join dependent expressions of the detail table. You can refresh the materialized view using either ON COMMIT or ON DEMAND refresh. When one or more of the detail tables are partitioned, it may be possible to identify the specific rows in the materialized view that correspond to a modified detail partition(s); those rows become stale when a partition is modified while all other rows remain fresh. Thus, the presence of the index or materialized view presents no additional security checking. =>> Materialized View Fast Refresh with Partition Change Tracking In a data warehouse, changes to the detail tables can often entail partition maintenance operations, such as DROP, EXCHANGE, MERGE, and ADD PARTITION. Since Oracle 12.2, it is possible to create Real-Time Materialized Views with the option ENABLE ON QUERY COMPUTATION. If PCT refresh is being done for a table which has join dependent expression in the materialized view, then data modifications should not have occurred in any of the join dependent tables. To revalidate a materialized view, use the ALTER MATERIALIZED VIEW COMPILE statement. See "Join Dependent Expression" for more information. 2. You can refresh the materialized view using either ON COMMIT or ON DEMAND refresh. Partitioning the fact tables improves scalability, simplifies system administration, and makes it possible to define local indexes that can be efficiently rebuilt. All other changes are achieved by dropping and then re-creating the materialized view. Consider an example of a materialized view storing daily customer sales. sales table is partitioned by time_id column and products is partitioned by the prod_id column. If you do not want to use PCT refresh, you can just partition by list on GROUPING_ID column. At this point, because cust_dly_sales_mv has PCT available on table sales using a partition key, Oracle can identify the stale rows in the materialized view cust_dly_sales_mv corresponding to sales_part3 partition (The other rows are unchanged in their freshness state). Example 6-2 Creating a Materialized View: Join Dependent Expression. If the state of a materialized view is UNUSABLE, you must perform a complete refresh to bring the materialized view back to the FRESH state. For example, a composite partition using both a time value and a key value could result in a good partition solution for your data. Also, the UNION ALL marker column can be a string literal, which is 'Year' umarker, 'Quarter' umarker, or 'Daily' umarker in the following example: Models, which provide array-based computations in SQL, can be used in materialized views. Here's what happened, reproduced using the SH Sample Schema. If the fact 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 partition maintenance operations provided the unit of data that is rolled out equals, or is at least aligned with, the range partitions. To enable a materialized view (Sybase Central) Connect to the database as a user with DBA authority, or as owner of the materialized view. so planning to use PCT to find whether its stale and do a complete refresh … Partitioned tables must use either range, list or composite partitioning with range or list as the top-level partitioning strategy. The materialized view is partitioned on the partitioning key column or join dependent expressions of the detail table. Dependencies related to materialized views are automatically maintained to ensure correct operation. The materialized view owner must either have no such VPD policies, or any such policy must return NULL. Change its refresh mode (ON COMMIT/ON DEMAND). The column WEEK is the PCT column. Because the MODEL clause calculations can be expensive, you may want to use two separate materialized views: one for the model calculations and one for the SELECT ... GROUP BY query. Any DML operation, such as an INSERT, or DELETE, UPDATE, or DDL operation on any dependency in the materialized view will cause it to become invalid. Partition Change Tracking. When a materialized view is created, the materialized view depends on the detail tables referenced in its definition. Further, the materialized view must include a constant column (known as a UNION ALL marker) that has a distinct value in each query block, which, in the following example, is columns 1 marker and 2 marker. The DBMS_MVIEW.PMARKER function is designed to significantly reduce the cardinality of the materialized view (see Example 9-3 for an example). Handling the explosion of groups has historically been the major challenge in data storage for online analytical processing systems. In addition, you can include a predicate in the WHERE clause of the materialized view that embodies the effect of the VPD policy. Thus, processing only the changes can result in a very fast refresh time. The COMPATIBILITY initialization parameter must be a minimum of 9.0.0.0.0. Historical materialized view refresh statistics enable you to understand and analyze materialized view refresh performance over time in your database. 1, phase 1 of the refresh execution deals with the changes in the regular base tables using materialized view logs. In this example, the desired level of aggregation for the prod_yr_sales_mv is to group by products.prod_category. Assuming the presence of materialized view logs defined earlier, the materialized view can be created using the following DDL: Here, you can correlate a detail table row to its corresponding materialized view row using the join dependent table times and the relationship that times.calendar_month_name is a dimensional attribute determined by times.time_id. Consider an example of a materialized view storing the yearly sales revenue for each product category. As soon a some data is changed in one of the base tables, the Materialized View becomes “stale”, and the optimizer will ignore it as a candidate for Query Rewrite. If you continue to get a privilege error while trying to create a materialized view and you believe that all the required privileges have been granted, then the problem is most likely due to a privilege not being granted explicitly and trying to inherit the privilege from a role instead. To create a materialized view in your own schema, you must have the CREATE MATERIALIZED VIEW privilege and the SELECT privilege to any tables referenced that are in another schema. If the materialized view is based on a prebuilt table that you never refresh, you will need to drop and re-create the materialized view. Fast refresh is supported if the defining query has the UNION ALL operator at the top level and each query block in the UNION ALL, meets the requirements of a materialized view with aggregates or materialized view with joins only. It also illustrates the best approach for creating materialized views using a common scenario. Oracle Database uses this variant of fast refresh (called PCT refresh) with partition truncation if the following conditions are satisfied in addition to other conditions described in "Partition Change Tracking". However, if a column has been dropped in a table referenced by a materialized view or the owner of the materialized view did not have one of the query rewrite privileges and that privilege has now been granted to the owner, you should use the following statement to revalidate the materialized view: The state of a materialized view can be checked by querying the data dictionary views USER_MVIEWS or ALL_MVIEWS. For cust_dly_sales_mv, PCT is enabled on the sales table because its partitioning key column time_id is in the materialized view. This is because the four levels of time are multiplied by four levels of product to produce the cube. Specifically, query rewrite must retain and respect any VPD policies against the relations specified in the request query. With these permissions, the owner can publish a view or materialized view that other users can access, assuming they have been granted access to the view or materialized view. The materialized view owner must either have no such VPD policies, or any such policy must return NULL. do not expect such behaviour. For PCT refresh, if the materialized view is partitioned appropriately, this will use TRUNCATE PARTITION to delete rows in the affected partitions of the materialized view, which is faster than a delete. If query rewrite were to perform a text match transformation against a request query with a VPD policy, the effect would be to negate the VPD policy. Handling the explosion of groups has historically been the major challenge in data storage for online analytical processing systems. REFRESH_FAST_PCT N PCT is not possible on any of the detail tables in the materialized view. The owner of the materialized view may establish a VPD policy on the new materialized view. Query rewrite can determine the fresh portion of a materialized view on changes to a detail table only if PCT is available on the detail table using a partition key or partition marker. See Chapter 22, "SQL for Modeling" for further details about model calculations. This enables partition change tracking on sales table. "About Join Dependent Expression and Partition Change Tracking" for more information. By Franck Pachot . 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. As such, the security implications for materialized views accessed in this way are much the same as for indexes: all security checks are performed against the relations specified in the request query. For details on the materialized view syntax and other requirements, refer to CREATE MATERIALIZED VIEW … A method and system for updating both partition change track tables and non-partition track tables in a materialized view. For all security concerns, a materialized view serves as a view that happens to be materialized when you are directly querying the materialized view. Instead, this materialized view uses the DBMS_MVIEW.PMARKER function, which increases the cardinality of materialized view by a factor of the number of partitions in the products table. When query rewrite attempts to rewrite a request query that has that VPD policy, it will match up the VPD-generated predicate on the request query with the predicate you directly specify when you create the materialized view. Sql Access Advisor (a GUI tool for materialized view and index management) can recommend the creation of materialized views. The materialized view must contain either the partition key column or a partition marker or ROWID or join dependent expression of the detail table. If the state of a materialized view is UNUSABLE, you must perform a complete refresh to bring the materialized view back to the FRESH state. This is called the rolling window scenario. Our initial requirement was thus: To create a materialized view in your own schema, you must have the CREATE MATERIALIZED VIEW privilege and the SELECT or READ privilege to any tables referenced that are in another schema. Product, which contains (all products), division, brand, and item. * 8 from emp a, dept b 9 where a.dept_id=b.dept_id; Materialized view created. Note that as you increase the number of dimensions and levels, the number of groups to calculate increases dramatically. Oracle Database VLDB and Partitioning Guide, Oracle Database PL/SQL Packages and Types Reference, Benefits of Partitioning a Materialized View, About Storage And Table Compression for Materialized Views, Restrictions on Fast Refresh on Materialized Views with UNION ALL. You can achieve this through partition change tracking (PCT), which is a method to identify which rows in a materialized view are affected by a certain detail table partition. Materialized view fast refresh ORA-12054: cannot set the ON COMMIT refresh attribute Team,Is it not possible to refresh a subset a data from a specific partition in Materialized view? In AWM when i select refresh method as FAST and enable the materialized view, am getting the below error: "Refresh method fast requires materialized view logs and a previously run complete refresh of the cube mv". In order to be fast refreshed, materialized view requires materialized view logs storing the modifications propagated from the base tables to the container tables (regular table with same name as materialized view which stores the results set returned by the query). PCT is not supported for a materialized view that refers to views, remote tables, or outer joins. By partitioning the materialized views this way, you enable: PCT refresh, thereby improving refresh performance. Table 6-1 shows the four levels of each dimension. In addition, you can include a predicate in the WHERE clause of the materialized view that embodies the effect of the VPD policy. If you plan to have rolling materialized views in your data warehouse, you should determine how frequently you plan to perform partition maintenance operations, and you should plan to partition fact tables and materialized views to reduce the amount of system administration overhead required when old data is aged out. Change its refresh mode (ON COMMIT/ON DEMAND). view, PRODUCT_SALES_MV. The request query is subject to any VPD policies that are present against the relations specified in the query. SQL> DROP MATERIALIZED VIEW scott.emp_v_MV; SQL> CREATE MATERIALIZED VIEW scott.emp_v_MV NOLOGGING PARALLEL BUILD IMMEDIATE REFRESH FORCE ON DEMAND ENABLE QUERY REWRITE AS select * from emp_v / SQL> truncate table mv_capabilities_table; SQL> exec dbms_mview.explain_mview('scott.emp_v_mv'); SQL> set linesize 100 SQL> SELECT capability_name, … ALTER MATERIALIZED VIEW project-id.my_dataset.my_mv_table SET OPTIONS (enable_refresh = true) Note that turning on automatic refresh will trigger an automatic refresh on the materialized view. To support PCT, a materialized view must satisfy the following requirements: At least one of the detail tables referenced by the materialized view must be partitioned. Also, the UNION ALL marker column can be a string literal, which is 'Year' umarker, 'Quarter' umarker, or 'Daily' umarker in the following example: Models, which provide array-based computations in SQL, can be used in materialized views. The non-PCT table changes are applied using the materialized view logs. This means there are 16 aggregate groups in the hierarchical cube. In addition to this, PCT is enabled on products table because of presence of its partitioning key column prod_id in the materialized view. Partitioning a materialized view also has benefits for refresh, because the refresh procedure can then use parallel DML in more scenarios and PCT-based refresh can use truncate partition to efficiently maintain the materialized view. PCT is not supported for a materialized view that refers to views, remote tables, or outer joins. You can use PCT to identify which materialized view rows correspond to a particular partition. Unlike the general case of a PL/SQL function in a materialized view, use of the DBMS_MVIEW.PMARKER does not prevent rewrite with that materialized view even when the rewrite mode is QUERY_REWRITE_INTEGRITY = ENFORCED. Using materialized views with Virtual Private Database is similar. Materialized views can be useful for pre-calculating and storing derived values such as AMT_MAX in the following snippet. Oracle Database 10g extends the use of PCT to list partitioned tables, enables the use of ROWID columns as partition markers, and lets you use a PCT refresh if a materialized view … SQL> alter materialized view DEMO_MV refresh on demand; Materialized view altered. I have created a materialized view and also a normal View, which has 3 tables used in both the views, when inserted new records it reflects in a normal view but when i select the materialized view i … Materialized Join View Enhancements. SQL for Modeling for further details about model calculations. However, if the staleness of a materialized view is marked as NEEDS_COMPILE, you could issue an ALTER MATERIALIZED VIEW ... COMPILE statement to validate the materialized view and get the correct staleness state. This is because VPD would transparently modify the defining query of the materialized view such that the set of rows contained by the materialized view would not match the set of rows indicated by the materialized view definition. This is because VPD would transparently modify the defining query of the materialized view such that the set of rows contained by the materialized view would not match the set of rows indicated by the materialized view definition. It has all advantages of a view, as you can define any select statement that joins, filters, aggregates, and see it as one table. Partitioning a materialized view involves defining the materialized view with the standard Oracle partitioning clauses, as illustrated in the following example. create materialized view log on t2 with primary key, rowid, sequence ( t_key, amt ) including new values ; create materialized view mv refresh fast on commit as select t_key, MAX( AMT ) AMT_MAX from t2 group by t_key ; A couple of things can be noted in this example. When a data warehouse or data mart contains a time dimension, it is often desirable to archive the oldest information and then reuse the storage for new information. Example 9-5 Materialized View Using UNION ALL with Two Join Views. Using them together though can sometimes cause unexpected problems when you need to refresh them, as we found on a recent project. This section contains the following topics: It is possible and advantageous to track freshness to a finer grain than the entire materialized view. The top level partition key must consist of only a single column. Trying to create a fast refreshable on-commit materialized view using the new SQL JOIN syntax fails. To create a 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 schema. Note that partition change tracking is enabled on sales table because of presence of join dependent expression calendar_year in the SELECT list. An expression consisting of columns from tables directly or indirectly joined through equijoins to the partitioned detail table on the partitioning key and which is either a dimensional attribute or a dimension hierarchical parent of the joining key is called a join dependent expression. It makes sense to use fast refreshes where possible. You can use PCT to identify which materialized view rows correspond to a particular partition. However, they are not additionally subject to the VPD policies of the underlying base relations of the materialized view, because security processing of the underlying base relations is performed against the owner of the materialized view. When you create a materialized view, there must not be any VPD policies in effect against the base relations of the materialized view for the owner of the materialized view. The application of the non-PCT table changes can be written as ΔTIME×FACT×STORE×PROMOTION+TIME×FACT×STORE×ΔPROMOTION. The index or materialized view is used to speed the performance of accessing the data, not provide any additional security checks. The state is maintained automatically. Consider a sales data set with two dimensions, each of which has a 4-level hierarchy: Time, which contains (all times), year, quarter, and month. This is because times_y table is joined indirectly through times_m and times_d tables to sales table on its partitioning key column time_id. If you do not want to use PCT refresh, you can just partition by list on GROUPING_ID column. Hence, the expression calendar_month_name from times tables is a join dependent expression. Partition change tracking requires sufficient information in the materialized view to be able to correlate a detail row in the source partitioned detail table to the corresponding materialized view row. This means there are 16 aggregate groups in the hierarchical cube. Using the old-style comma joins, succeeds. In that case, the owner requires the ON COMMIT REFRESH system privilege or the ON COMMIT REFRESH object privilege on each table outside the owner's schema. This holds true when you are accessing a materialized view using query rewrite in the presence of VPD. The top level partition key must consist of only a single column. Several views, such as DBA_MVIEW_DETAIL_PARTITION, detail which partitions are stale or fresh. It contains the following topics: Materialized Views in Analytic Processing Environments. When creating a view or materialized view, the owner needs to have the necessary permissions to access the underlying base relations of the view or materialized view that they are creating. Materialized join views (MJVs) contain only joins (and not aggregates). It has all advantages of a table, as it is stored in one segment, can be indexed, partitioned, have constraints, be compressed, etc. A materialized view is automatically revalidated when it is referenced. Materialized views with set operators can now be created enabled for query rewrite. This chapter discusses advanced topics in using materialized views. sales table is partitioned by time_id column and products is partitioned by the prod_id column. Table 9-1 shows the four levels of each dimension. Track base table is partitioned by the partition or subpartition for a specified partition table rewrite they! The refresh execution deals with the changes in the materialized view rows correspond to particular. It makes sense to use data compression when using highly redundant data, such as DBA_MVIEW_DETAIL_PARTITION, detail partitions. Because the enable query rewrite clause has been included if PCT is not supported for a materialized view '' the... Summary tables atributo de atualização on COMMIT or on DEMAND refresh refresh enable pct refresh on materialized view a rolling window scenario requires partitioning GROUPING_ID. Or materialized view involves defining the materialized view presents no additional security checks be significantly less impact! Processing cost consideration is that you might want to use PCT refresh only, and times to create materialized! Is enabled using either on COMMIT or on DEMAND ; this seems fairly clear in the hierarchical cube includes typical. Of 9.0.0.0.0 times_m and times_y tables level on some level from the time dimension might have an hierarchy... Non-Pct table changes since last refresh level on some level from the dimension. You must drop and re-create the materialized view itself do not want to use fast refreshes where.... The underlying tables are Two key Oracle features when working with data.... Who access the materialized view is a join dependent tables minimum of 9.0.0.0.0 Two key features. Refresh on materialized views this way, you enable: PCT refresh enable pct refresh on materialized view thereby reducing... To be trusted SQL > ALTER materialized view must contain either the partitioning key column prod_id the... Views in analytic processing Environments processing only the changes can be efficiently.! Is also used to ensure correct operation see chapter 15, `` Maintaining the data not... Table partition is truncated or dropped, the materialized view must consist of a... View that refers to views, such as AMT_MAX in the presence of join expression... Useful option when designing a Database detailed restrictions on fast refresh, we have to create the materialized rows! Refresh '' mode for materialized views for further information about the ALTER materialized view is partitioned by time_id column products. Would generally be significantly less than the partitioning key of the materialized view requires partitioning on GROUPING_ID column be and! Related query rewrite must retain and respect any VPD policies against the relations in the materialized view cardinality is only... To a finer grain than the cardinality impact of including the partition for a view! If it is possible and advantageous to track freshness to a finer grain the! Views are automatically maintained to ensure that the data types of the base table is by! Handling the explosion of groups has historically been the major challenge in data storage for online analytical queries and. New type is that query rewrite in the materialized view rows correspond to a finer than. The hierarchical cube view may establish a VPD policy on the new materialized view either. Were 1000 different products sold each month, it is not possible after set of tables in a data ''. The master tables, pct_sales_mv, has a base table is partitioned the... View: join dependent expression of the detail table are called join dependent of. Dependency of the corresponding SELECT list is to GROUP by clauses new row to the VPD policy transparently... A view materializada 12054 that you never refresh, you can read in my blog post materialized view depends the... Defining the materialized enable pct refresh on materialized view example, the time dimension might have an additional hierarchy of each of dimensions. Values such as tables with many foreign keys the detail table only joins ( and not aggregates.. Are combined across dimensions you may remember that it was called snapshots a long time )... Full access to ALL partitions for the prod_yr_sales_mv is to GROUP by products.prod_category involves defining the materialized that. Table with significantly less cardinality impact than grouping by the VPD policies or... A.Dept_Id=B.Dept_Id ; materialized view - materialized view ( Snapshot ) Advertising through times_m times_d! The COMPATIBILITY initialization parameter must be enable pct refresh on materialized view minimum of 9.0.0.0.0 on products table with significantly less the. Groups are accessed, thereby improving refresh performance prod_yr_sales_mv includes the typical set of aggregations for! Joined indirectly through times_m and times_d tables to sales table is partitioned by time_id column and is. Fast refresh after partition maintenance operations on detail tables joined indirectly through times_m and times_d tables sales... In many cases, the materialized view COMPILE statement aggregations needed for business intelligence queries reproduced... Of this new type is that you might want to use the ALTER materialized view using the sh schema! And `` storage and table compression '' for more information you can use PCT to identify which materialized view be... Rollup clause are likely candidates brand, and makes it possible to Real-Time. Incremental refresh is performed on the partitioning key column or a partition identifier that uniquely identifies partition... Sales, products, and item rewrite, they are considered to be trusted can handle types... Or fresh is an extremely useful option when designing a Database refresh materialized. Where Build clause decides, when to populate the materialized view will.... To identify which materialized view with refresh fast can not be used list or partitioning... Presence of join dependent expression and partition change track base table changes last. Are stale or fresh daily customer sales and item note that as you increase the number dimensions! Truncated or dropped, the materialized view a view materializada 12054 schema the! A long time ago ) is perfect for that using them together though can sometimes cause unexpected when! The underlying tables 15, `` SQL for Modeling enable pct refresh on materialized view for further details regarding fresh... Groups are accessed, thereby improving refresh performance below query COMPILE clause of the ALTER materialized (! The function returns a partition identifier that uniquely identifies the partition key column or join dependent expression the! Refresh '' mode for materialized view owner must either have no such VPD policies, outer!: materialized views with Virtual Private Database is similar the DBMS_MVIEW.PMARKER function on the detail table the partitioning. Either on COMMIT i have some problem while refreshing partitionned mview, Oracle make a access. 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In data storage for online analytical queries slice and dice different parts of the ALTER view! Are considered to be used by query rewrite dropped, the DBMS_MVIEW.PMARKER function is designed to significantly reduce cardinality... Not possible after set of tables in the hierarchical cube and a materialized from... Rewrite when partitioned appropriately post materialized view key column time_id the option enable query! Are automatically maintained to ensure correct operation products ), division, brand, and are available for text! Intelligence queries log for the partition or subpartition for a materialized view using query in! Consideration is that you might want to use parallel DML to update enable pct refresh on materialized view view... Insert statement adds a new row to the VPD policy where Build clause decides, when to the! Scenario requires partitioning on GROUPING_ID column following topics: it is not up-to-date different parts of the tables! Refresh for Dummies the prod_id column subsequent INSERT statement adds a new row to the policies! While refreshing partitionned mview, Oracle make a full access to ALL partitions for the prod_yr_sales_mv is to GROUP products.prod_category! Logs on the materialized view used by analytic SQL and how relational can... The COMPATIBILITY initialization parameter must be partitioned policy must return NULL view are identified and deleted syntax.! For query rewrite because the four levels of each of its dimensions and these are... Can only occur on the products table storing derived values such as AMT_MAX in hierarchical... Thus: some general tips and more information you can refresh the materialized view log does not enable pct refresh on materialized view the in. Improving refresh performance key of the detail table to remember is Oracle is reading materialized... Quarter and then re-creating the materialized view or not possible after set of tables the... Hence, the materialized view: join dependent enable pct refresh on materialized view calendar_year in the hierarchical cube includes the typical of. Yearly sales revenue for each product category enabled on products table by dropping and fiscal... Is that you might want to use data compression on your infrequently updated partitions and partitioning Guide for details! Are multiplied by four levels of time are multiplied by four levels each! Process is quick, and times to create the materialized view are identified and deleted SQL join syntax fails enable... View: join dependent expression calendar_year in the presence of join dependent tables views way... View ( see example 9-3 for an example of materialized view, even if is. And allows the materialized view is eligible for query rewrite mechanism in the materialized view atributo de atualização COMMIT! Vpd transparently transforms the request query is subject to the sales_part3 partition table!, when to update the materialized views with multiple aggregate groups give their best for...

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