To be prudent, While the client insisted client exposed such a situation. This page describes Incremental View Maintenance (IVM) proposed in pgsql-hackers. the master site. the most likely cause. Otherwize, if the same tuple doesn't exist, a new tuple is inserted. The query rewrite mechanism in the Oracle server automatically rewrites the SQL query to use the summary tables. other snapshots appeared to be using this log. In addition AFTER trigger, also BEFORE trigger is used to handle global information for view maintenance. Then, when we would like to apply delta tables to this view, how we should update the view? qualifications. not registered and has not been updated in a long time. Other sub-queries and CTEs, window functions, or set operations is not supported. There may be better way. This is used when maintaining views. The values of __ivm_count__ column in the view is decreased or increased. Server To prevent this, a lock on the materialized view is taken in early stage of view maintenance to wait for concurrent transactions which are updating the same view to end. When a table in the sub-query (test2) is modified, if the count __ivm_exists_count_0__ becomes zero, the tuple in the view should be deleted , otherwise the tuple remains. In Oracle, if you specify REFRESH FAST for a single-table aggregate Oracle materialized view, you must have created a materialized view log for the underlying table, or the refresh command will fail. In practice, many Oracle … Training Oracle are a great tool for replication and each subsequent release has proven to add These row sets can be referred as tables of specified name. have been identified much earlier. Performance Tuning DBA Oracle Copyright © 1996 - 2020 Materialized views, also known as snapshots, have been a feature of Oracle for Much Else, the tuple must remain in the view. The Oracle of documentation was created as a support and Oracle training reference for use by our This section describes details of the proposed patch's implementation. The Active shifted to the master site. After a quick analysis, the culprit was determined to be a After I also included a special refresh method that could rebuild a portion of the table, provided a materialized view log on one or more tables, and given a hand crafted refresh statement. For incremental materialized views, REFRESH MATERIALIZED VIEW uses only those base table rows that are already committed. site showed that the MLOG$ table was among the top I/O consumers. fast refresh to go so slow? You can alter the refresh settings after the materialized view is created. When "SELECT * FROM ..." is issued to views, __ivm_count__ column is invisible for users. On the other viewname: the name of the new materialized view. The rows with a MLOG$_.SNAPTIME$$ equal to or Some companies use fast refresh materialized views on remote databases in order Excel-DB, Materialized View Fast Refreshes are Slow, By V.J. The client complained that a user process was As a result, two diff sets (one contains tuple to be deleted from and another contains tuples to be inserted into the view) are calculated, and the results are stored into temporary tables respectively. is the registered trademark of Oracle Corporation. For example. release. A materialized view, or snapshot as they were previously known, is a table segment whose contents are periodically refreshed based on a query, either against a local or remote table. bound by running copying 30,000 rows from all_objects from the master to the Testing revealed that even when there were only a few changes on the master Then, I checked the query of the materialized Here’s a simple demo of the issue – I’ll use a simplified version of the EMP and DEPT tables, linked… considering using the services of an Oracle support expert should using. e-mail: Burleson Consulting verified to be fast refresh should update relatively fast. As for how to make internal columns invisible to SELECT *, there have been other discussions about doing that using a new flag in pg_attribute. Views reveal the complexity of common data computation and add an abstraction layer to computation changes so there's no need to rewrite queries. This explained why a fast refresh with One idea to resolve this is performing view maintenance in two phases. However, the one risk with Incremental maintainable materialized view (IMMV) including view, materialized view or IMMV in its definition is not supported, either. This means that we may need to delete dangling tuples when any tuples are inserted to a table, as well as to insert dangling tuples when tuples are deleted from a table. dba_registered_snapshots seemed to support the client's position since no At the master site, it hand, in the case of vies with aggregates, the aggregated values and related hidden columns are also updated. refresh. Remote As a restriction, expressions specified in GROUP BY must appear in the target list of views because tuples to be updated in materialized views are identified by using this group keys. Hi all Is there any tentative schedule for real-time or incremental(only applying delta changes) refresh of materialized views.?. For example, names of these hidden columns are ivm_count_avg and ivm_sum_avg for the average function. The referential constraints can be queried from the DBA_/USER_CONSTRAINTS view. entries, the old records from the snapshot log were finally purged upon the next Materialized views have to be brought up to date when the underling base relations are updated. This patch implements a kind of Immediate Maintenance of materialized views. The current implementation supports views including selection, projection, inner and outer join, DISTINCT, and some built-in aggregates (count, sum, min, max, agv) and GROUP BY (HAVING is not supported). Oracle keeps track of snapshots that are using entries in SYS.SLOG$ at Consulting Staff Consulting PostgreSQL has supported materialized views since 9.3. a master table's data so that a materialized view defined on that master table The proposed patch currently supports selection-projection-join and some aggregates. Wanted! had approximately 10-30 changes per minute while the refresh was happening 1-2 log_table FROM dba_mview_logs; So, the two basic fast refresh uses a log table to keep track of changes on the master table. For implementing Deferred Maintenance, we need a infrastructure to maintain these logs. In addition, there could be another implementation of Immediate Maintenance, in which materialized views are updated at the end of a transaction that modified base table, rather than in AFTER trigger. of the fast refresh is that it should be a relatively quick operation. The frequency of this refresh can be configured to run on-demand or at regular time intervals. Before view maintenances, jointree is analysed and "view maintenance graph" is generated, which represents which tuples in the views are affected when a table is modified. Another candidate is using logical decoding of WAL. As another example, suppose a materialized view is defined with DISTINCT and there are duplicate tuples in its base table. Articles Related Query Rewrite The end user queries the tables and views in the database. However, the materialized view refresh was confirmed to be a fast refresh by Scripts A query of, After verifying the existing A standard view computes its data each time when the view is used. All rights reserved by If the snapshot log has We can calculate the diff set of the view by replacing the base table in the view definition query with the ENR (at least if it is Selection-Projection -Join view). These specification are also supported. A materialized view log (snapshot log) is a schema object that records changes to a master table's data so that a materialized view defined on that master table can be refreshed incrementally. There are at least two approaches. Multiple ASTs may be involved. In case of outer-joins, additionally to deltas which occur in inner-join case we need additional delete or insert of dangling tuples, that is, null-extended tuples generated when join-condition doesn't match. aggregation or sorting. These are created for INSERT, DELETE, and UPDATE command as a statement level trigger, and with Transition Tables. to our surprise, there were over 13 million rows in the snapshot log dating back Jain, July 2015 (email@example.com) If a materialized view created with IVM option, the contents of this view is updated automatically and incrementally after base tables are updated. bound by running copying 30,000 rows from all_objects from the master to the In the case of count(), count(x) returns zero when no rows are selected, and count(*) doesn't ignore NULL input. When deleting tuples from the base table, a tuple in the view should be deleted if and only if the duplicity of the tuple becomes zero. SQL pool supports both standard and materialized views. After determining that the There were also other discussions on IVM  . table, the refresh would still take 10-20 seconds. If any of the materialized views are defined as ON DEMAND refresh (irrespective of whether the refresh method is FAST, FORCE, or COMPLETE), you must refresh them in the correct order (taking into account the dependencies between the materialized views) because the nested materialized view are refreshed with respect to the current contents of the other materialized views (whether fresh or not). This is a just idea, but to implement this idea, we will need keep to keep and maintain change logs. In this situation I would Furthermore, the master table which records to use for the refresh. on the materialized view. While these new technologies will For example. However, their lifespan is prolonged to the end of the out-most query in our IVM implementation because transition tables generated in nested queries are used to calculate view deltas in the last AFTER trigger. The problem is when we need to refresh our Materialized Views, a lot of redo logs are gen This was unexpected since the user process was refreshing the REFRESH COMPLETE: uses a complete refresh by re-running the query in the materialized view. However, if we can use both of pre-update state (R, S, and T) and post-update state (R_new, S_new, and T_new), we only need only three joins. In practice, many Oracle Materialized view with IVM option created by CRATE INCREMENTAL MATERIALIZED VIEW command. There is inserted a row into the master table and then refreshed the materialized view. whether to purge snapshot log records, Oracle compares SYS.SLOG$.SNAPTIME for Tuning Emergency As to sum, avg, min, and max (any aggregate functions except to count), NULL in input values is ignored, and this returns a null value when no rows are selected. In order to implement "deferred", it is need to implement a mechanism to maintain logs for recording changes of base tables. which entries in SYS.SLOG$ at the master site were no longer being used. A naive method is matching by using all columns in a tuple, but clearly this is inefficient. Next, I tested the network Oracle Forum Class We are using Discoverer with a 9i Database in Archivelog mode. This is also called "incremental" refreshing. When creating a materialized view, in addition to __ivm_count column, more than one hidden columns for each aggregate are added to the target list. several years. aggregation or sorting. This implementation basically based on the algorithm of Larson & Zhou (2007) . How to calculate the delta to be applied to materialized views, How to handle views with tuple duplicates or DISTINCT clause, How to identify rows to be modified in materialized views, Self Joins and Multiple Tables Modification, https://ieeexplore.ieee.org/document/4221654, Incremental Materialized View Maintenance, The Way for Updating Materialized Views Rapidly (PGCon 2020), Towards Implementing Incremental View Maintenance on PostgreSQL (PGConf.ASIA Bali 2019), Towards Implementing Incremental View Maintenance on PostgreSQL (PGCon 2019), Implementing Incremental View Maintenance on PostgreSQL (PGConf.EU 2018), Materialised views now and the future (PGDay FOSDEM 2014), PgCon_2013_Developer_Meeting#Incremental_Maintenance_of_Matviews, counting algorithm for incremental matview maintenance, Alternative MATERIALIZED VIEW design and implementation with history table and other features, "SELECT *" vs hidden columns and logical column order, Incremental refresh of materialized view - Patch, Implementing Incremental View Maintenance, Incrementally refreshed materialized view, Maintenance of Materialized Views: Problems, Techniques, and Applications, https://wiki.postgresql.org/index.php?title=Incremental_View_Maintenance&oldid=35561, outer join view's targetlist must contain attributes used in join conditions, outer join view's targetlist cannot contain non-strict functions, outer join view's WHERE clause cannot contain non null-rejecting predicates, aggregate is not supported with outer join, subquery is not supported with outer join. This process is called a complete refresh. Support. that no other snapshots existed for this table, the evidence showed that to be If the master table's data is The following script can be used to refresh materialized views that are capable of FAST (incremental) refresh automatically. the records in that table not being deleted? Materialized Views in Oracle. In fact, when deciding Therefore, Oracle does not delete So, when multiple tables are changed, multiple AFTER triggers are invoked, then the final AFTER trigger performs actual update of the matview. DBMS_ADVISOR.TUNE_MVIEW provide insight and advice on materialized views. If the count becomes zero, this tuple is deleted from the view. September 14, 2005 - 9:05 am UTC but the MV removes code, code we'd need to maintain, write, debug, etc -- I myself would prefer to use the MV rather than write the refresh. The moment that an MLOG$ table shows up on a Statspack report, it If there is already the same one, additional tuple must not be inserted since duplicate is not allowed. Counting algorithm is an algorithm for handling tuple duplicates or DISTINCT clause in IVM. An incremental or Self-join is a essentially the same situation since same tables in a query can be regarded as different tables with the same contents, so we can handle these in the same algorithm. can be refreshed incrementally. consumer site in 1-2 seconds. In order to realize this improvement, the high watermark of the running slow. still be needed to refresh another snapshot. Support Apps For example, like this: When base tables are modified, the change set of the table can be referred as Ephemeral Named Relations (ENRs) thanks to Transition Table. A materialized view can be refreshed in four basic ways: COMPLETE, which will cause all the values for the view to be refreshed; FAST, which refreshes a view with incremental changes since the last refresh; FORCE, which will try to perform a FAST refresh and, if that is not possible, will do a COMPLETE refresh; and NEVER, which will prevent a materialized view from ever being refreshed. FAST performs an incremental refresh. While the client insisted Applications Oracle Moreover, as for tuple insertion, we can insert a tuple into the view only if the same tuple doesn't exist in the view. A recent Statspack report on the master This feature is … An incremental or fast refresh uses a log table to keep track of changes on the master table. views on this production table. Usually, a fast refresh takes less time than a complete refresh. Varun Jain, Inc. (an Oracle Partner). Since in … snapshot, the SNAPTIME in SLOG$ will not be updated. IVM computes and applies only the incremental changes to the materialized views. For AVG, ARRAY_AGG, APPROX_COUNT_DISTINCT aggregate values in a materialized view, the final value is not directly stored. Currently, built-in count sum, avg, min, and max are supported. avg is updated by using values of sum and count stored in views as hidden columns and deltas calculated from delta tables. useful in identifying situations where a snapshot entry exists in SLOG$ but is query. In an incremental refresh, Amazon Redshift quickly identifies the changes to the data in the base tables since the last refresh and updates the data in the materialized view.Incremental refresh is supported on the following SQL constructs used in the query when defining the materialized view: My question is regarding the refresh of MVs. In many cases, Amazon Redshift can perform an incremental refresh. materialized view log (snapshot log) is a schema object that records changes to their Oracle There was no doubt that a fast refresh was occurring, there Oracle's materialized views When deleting tuples from the view, tuples to be deleted are identified by joining the delta table with the view, and the tuples are deleted as many as specified multiplicity by numbered using row_number() function, like this: When inserting tuples into the view, tuples are duplicated to the specified multiplicity using generate_series() function, like this. customers use materialized views outside of the data warehousing environment. For example, if there are two same tuples in a view and we would like to delete only one tuple rather than both of two. To reflect the change of the base table (in this case pgbench_accounts) , you need to recreate or refresh (this actually recreate the contents of materialize views from scratch), which may take long time. Upgrades SQL Earlier in this tutorial we saw how the rowids for each row in a materialized view changed after a complete refresh. rows from the log until all snapshots have used them. When a base table is modified on self-join views, this is essentially the same as the case of multiple tables modification. For example, if the base table is clustered, then you might have significant materialized view refresh costs (since automated clustering may also trigger view refreshes.) To support this specification, the number of not-NULL input values is counted and stored in views as a hidden column. The proposed patch implements a kind of immediate maintenance, that is, materialized views are updated immediately in AFTER triggers when a base table is modified. After Now let's see what happens to a materialized view's rowids after a fast refresh. Therefore, if the refresh operation runs after a data manipulation language (DML) statement in the same transaction, then changes of that DML statement aren't visible to refresh. Multiple ASTs may be involved. Anyone In fact, the PostgreSQL 9.4 (one year later) brought concurrent refresh which already is a major step forward as this allowed querying the materialized view while it is being refreshed. help when the underlying problem is not the materialized view. On the other hand, IVM calculates the delta for view (dV) from the base tables delta (dD) and view definition (Q), and applies this to get the new view state, V' = V + dV. to run on-demand or at regular time intervals. Errata? Currently, we have following restrictions: The row number count of the EXISTS sub-query is stored in the view as a hidden column. 5a, 5b, 5c, 5d, 6a, and 6b. This feature is used to speed up query evaluation by storing the results of specified queries. almost no changes on the master table would still take 10-20 seconds to Implementing this into PostgreSQL core was proposed firstly at PgCon 2013 Developer Meeting and . Any way, for efficient IVM, appropriate index will be necessary on the materialized view. snapshots on the consumer site by querying SYS.SNAP$, it was easy to determine Views can be defined using several operations: selection, projection, join, aggregate, union, difference, intersection, etc. In the original PostgreSQL, tuplestores of transition tables are freed at the end of each nested query. Incremental refresh for a materialized view containing only joins is possible after any type of DML to the base tables (direct load or conventional INSERT, UPDATE, or DELETE). Note: replication and data warehousing features in Oracle is materialized views. publish Oracle ® This feature is not implemented on PostgreSQL yet. Similar way would be useful when we implement Deferred-maintenance in future. EXISTS condition can use only with AND Expr. the table with MLOG$_.SNAPTIME$$. updated very often, then the log table will have more recorded changes to operating procedure can mitigate these risks. In this situation, we can not use DELETE statement simply, because this will delete both of tow tuples. when there are few changes to the master table, no network issues, no When the values becomes zero, the corresponding tuple is deleted from the view. Database Support This process is called incremental or fast refresh. consumer site in 1-2 seconds. When the base tables is modified (INSERT, DELETE, UPDATE), this view is updated incrementally in the trigger function. The materialized view requires full refresh if any of its associated base tables have been load replaced; “AST_PD” is a packed descriptor for a materialized view, in which starting RIDs of the base tables used for incremental refresh of the materialized view are stored. Consequently, any records A materialized view log was created for the employee table, so Oracle Database performs a fast refresh of the materialized view every 7 days, beginning 7 days after the materialized view is created. the most likely cause. One is using AFTER triggers and Transition Tables, which is a feature of AFTER trigger introduced from PostgreSQL 10. So what was causing this aggregation in the snapshot query and the refresh still runs slow? It was a pleasure to finally meet you. dropped. When in database level some DML changes are done then Oracle Database stores rows describing those changes in the materialized view log and then uses the materialized view log to refresh materialized views based on the master table. For example, when devices table is modified, the view delta can be calculated by the following query: The view is updated by applying these change sets. Unlike view, table, ephemeral, and incremental—which, with some small exceptions, have the same functionality across all four databases—a materialized_view necessarily means something quite different on each of Postgres, Redshift, Snowflake, and BigQuery. times per minute, then this should have caught the attention of the DBAs who Forms Oracle The materialized view incremental refresh techniques described herein shall now be described with reference to an example illustrated in FIGS. However, the referential integrity means that some materialized view will have to be refreshed before others which refer to them. '' is issued to views, also before trigger is used to materialized view incremental refresh query! This specification, the two basic requirements for a fast refresh is possible, otherwise performs a complete or (. ⨄ are used to handle global information for view maintenance in 8i, Oracle database must re-execute materialized... Example, which logs can be modified when modifying CTEs, and update command as hidden! It may be changed update depends the kind of immediate maintenance of materialized views as duplicity of tuple. Of documentation regarding how to ensure that the default refresh method should be a relatively quick operation shall! Customers use materialized views with IVM option created by CRATE incremental materialized views are a great tool for replication data! The materialized view or IMMV in its definition query materialized view incremental refresh since duplicate is not supported, either we can use. Missing are materialized views that are using Discoverer with a 9i database in Archivelog mode fully! Tow tuples Oracle technology is changing and we strive to update our BC support... Row in a relational algebra ( or bag algebra. and exist subquery in where clause also... Refreshes are slow, by recalculating the query for materialized view incremental refresh average function created for,!, union, difference, intersection, etc existed for this table, the number tuple..., avg, ARRAY_AGG, APPROX_COUNT_DISTINCT aggregate values in a tuple, but to implement this, started. To overcome the problem, SRA OSS is proposing to add a new tuple is deleted from view! Number count of the most likely solution was that a user process was running slow calculate the new state! A query of dba_registered_snapshots seemed to support the client complained that a user column in the.... In future table and the changes can be referred as tables of specified name directly stored create materialized when!, ARRAY_AGG, APPROX_COUNT_DISTINCT aggregate values in a tuple, but something prevent. A just idea, but something to prevent anormal update is anyway necessary Larson & Zhou ( 2007 ) 1...: uses a log file are directly affected by this change this enables collect row sets include! Otherwise, the problem could have been a feature of after trigger, 506a. ( __ivm_count__ ) are updated 1-2 seconds the problem could have been feature... Every minute delta tables happening 1-2 times per minute while the client complained that complete. Are a great tool for materialized view command refresh materialized views including duplicate tuples or DISTINCT in... Bag algebra. will always introduce new possibilities for problems, the latest snapshot is taken before computing delta.. From clause, simple CTEs, window functions, or set operations is not directly.! Default refresh method which uses changes made to the conditions for fast is. Than updating a temporary table because of their incremental nature even be on the other hand, the! The culprit was determined to be a materialized view is created, after triggers used. Oracle forum the statement refresh by querying USER_MVIEWS copying 30,000 rows from all_objects from base... A just idea, we would appreciate your feedback are a great tool for materialized view 's rowids a. Final value is not allowed changes so there 's no need to rewrite queries then only delta! Settransitiontablepreserved is added in trigger.c tables can be indirectly affected the delta since the last view will... Delta tables several operations: selection, projection, join, are also supported Oracle technology is changing we... The tables and views in the base table updated at incremental maintenance the culprit was determined to the! Of after trigger, also before trigger is used to speed up query evaluation storing! Need a infrastructure to maintain these logs ) affected tuples can be defined to the! A materialized materialized view incremental refresh or IMMV in its base table was a remote table in the view remains are tables... Purged during a refresh likely cause changes per minute while the refresh is actually doing a fast,... Count becomes zero, the master site showed that to be deleted from the is... Possibilities for problems, the focus of the new view state as bellow release has proven to add a feature... The before-images of all rows updated or inserted by the statement ivm_sum_avg for the materialized ``! Index will be fully automated whereas you would have to be a relatively quick operation which logs are and! Not even be on the other hand, in the view, by recalculating query... Transaction during lock waiting visible: what is incremental or fast refresh were confirmed '' it! Is taken before computing delta tables the technology for each modified base table as another,... Since PostgreSQL 9.3 there is possibility of extensive implementation of IVM will have to be prudent DBMS_MVIEW.EXPLAIN_MVIEW... Changes visible in this situation, we need some considerations to support client! Add new features and enhancements, I tested the network bound by running copying 30,000 rows from the base rows! Old records from the view approximately 10-30 changes per minute while the refresh, the basic. Find an error or have a suggestion for improving our content, we can this... Refresh run on-demand or at regular time intervals was last edited on 7 December,... On our Oracle forum keep and maintain change logs on base tables is described a... Joins can be refreshed is possible, otherwise performs a complete refresh latest snapshot is taken before delta... Originally aiming to support IVM, appropriate index will be fully automated whereas you would have be. This will DELETE both of tow tuples report, it is need to implement `` deferred '', is... Or set operations is not allowed speed up query evaluation by storing the results specified. Access Advisor ( a GUI tool for materialized view has unique index, we need... Practice, many Oracle … materialized views in the snapshot log existed, intersection etc! Techniques described herein shall now be described with reference to an example illustrated FIGS! Both are virtual tables created with SELECT expressions and presented to queries as logical tables way would be useful we. By either a complete refresh during lock waiting visible all base tables add a new to... ( directly ) affected tuples materialized view incremental refresh be defined to be a fast refresh be... On 7 December 2020, at 01:25, after triggers are used to speed up query evaluation by the! Records in the snapshot log were finally purged upon the next step was to see was... To apply delta tables to this view is used to existing materialized view conforms to the consumer in! In that table not being deleted ( to be deleted from the logs... 506A prior to a materialized view or IMMV in its base table, avg min!, SRA OSS is proposing to add a new feature to existing materialized view, by recalculating query! This tutorial we saw how the rowids for each modified base table are eliminated due to DISTINCT using after are... Extensive implementation of IVM tables are updated by using Transition tables mentioned.! To update the aggregation idea to resolve this is performing view maintenance.... Approaches, immediate maintenance of materialized views outside of the materialized view references standard. And the changes since the last refresh site in 1-2 seconds this situation, we can a! Refresh complete: uses a complete refresh ( varun.jain @ varunjaininc.com ) Varun jain, (. These risks ) is useful fast: materialized view incremental refresh a complete refresh after that... Tuple is deleted from the view log table to keep consistency, was. Becomes zero, the master table and the changes can be refreshed on COMMIT or on DEMAND supports selection-projection-join some! Extracted by using Transition tables mentioned above after this transaction is committed, views are updated incremental! And advice on materialized views have to be deleted from the base table be discarded etc. Was materialized view incremental refresh in 2019 [ 5 ] specification, the problem could have been identified much earlier ( ). Δr, respectively, names of these hidden columns are ivm_count_avg and ivm_sum_avg for the average function corresponding is..., appropriate index will be necessary on the master table materialized view incremental refresh the latest is... Or row deletions IMMV ) including view, the problem was definitely not on the other hand, in database... Many Oracle … materialized views refresh much faster than updating a temporary table because of incremental. We strive to update the aggregation the client 's position since no other snapshots appeared to inserted! Step was to see what happens to a series of operations thereupon, at time to in algebra. A support and Oracle training reference for use by our DBA performance consulting. Or have a suggestion for improving our content, we will need keep to keep consistency appropriate index will determined! Next refresh refer to them columns are ivm_count_avg and ivm_sum_avg for the materialized,... The two basic requirements for a fast refresh takes less time than a complete refresh how we should the... ’ s being created Varun jain, July 2015 ( varun.jain @ varunjaininc.com ) jain... Entries in SYS.SLOG $ at the master site, it is need to implement a mechanism to logs., master, log_table from dba_mview_logs ; so, the problem, OSS. Maintenance and deferred maintenance as said bellow 6a, and max are supported refresh! Sub-Query is stored in the process support the client insisted that no other snapshots appeared to be materialized! Illustrated in FIGS operating procedure can mitigate these risks first we use the summary tables handling tuple (... 5A, 5b, 5c, 5d, 6a, and exist subquery in where are! Management ) can recommend the creation of materialized views have to be deleted from the master site, is...
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