materialized view parallel refresh

Usually, a fast refresh takes less time than a complete refresh. The ON COMMIT refresh indicates that the materialized view will be whenever the data in the master table changes. * 8 from emp a, dept b 9 where a.dept_id=b.dept_id; Materialized view created. How to Refresh a Materialized View in Parallel, 1. The parallelism parameter of the dbms_mview.refresh procedure will not refresh the materialized view in parallel; Now that I have ruled out all the above steps I was almost convinced that to expedite the refresh process I need to add a parallel hint directly in the materialized view definition (ddl_mv2.sql): CREATE MATERIALIZED VIEW MY_MATERIALIED_MV ({list of columns}) TABLESPACE … One could create a PL/PGSQL function that uses these views to refresh all materialized views at once, but as this is a relatively rare command to execute that can take a long time to run, I figured it was best just to use these views to generate the code one needs to execute and then execute that code. Furthermore, take a case where a transaction B follows a transaction A. Session altered. View names must follow the rules for identifiers. Create Materialized View V Build [clause] Refresh [clause] On [Trigger] As : Definition of View. From time to time MV refresh takes longer time than the refresh interval. Some OLTP applications also benefit from materialized views involving non-volatile data. [email protected]> @px_get_dop_sql Without this option a refresh which affects a lot of rows will tend to use fewer resources and complete more quickly, but could block other connections which are trying to read from the materialized view. REFRESH COMPLETE: uses a complete refresh by re-running the query in the materialized view. • The PARALLELISM parameter of the DBMS_MVIEW.REFRESH procedure • PARALLEL attribute of the materialized view • PARALLEL … This option may be faster in cases where a small number of rows are affected. A standard view computes its data each time when the view is used. Materialized view name. The rake task is simple, only calling the refresh method defined on the MatTopScorer model. The PARALLELISM Parameter of the DBMS_MVIEW.REFRESH Procedure, 2. It is just a place to gather all this info and have it easily accessible, as well as share it with anyone else who cares. Generally support fast parallel or fast materialized view refresh. One of way to improve performance of MV refresh is to make the refresh parallel, e.g. The complication comes from the lag between the last refresh of the materialized view and subsequent DML changes to the base tables. NOTE: In the images and/or the document content below, the user information and data used represents fictitious data from the Oracle sample schema(s) or Public Documentation delivered with an Oracle database product.  Any similarity to actual persons, living or dead, is purely coincidental and not intended in any manner. Voila! I need to create a materialized view (MV) with auto refresh every hour. Viewed 1k times 4. I have 4 materialized view - there is no dependency between them. With atomic_refresh set to false, oracle normally optimize refresh by using parallel DML and truncate DDL, ... To answer to the first point, to be sure that my materialized view can be fast refresh, we can also use explain_mview procedure and check the capability_name called “REFRESH_FAST”: SQL> truncate table mv_capabilities_table; Table truncated. CALL BQ.REFRESH_MATERIALIZED_VIEW('project-id.my_dataset.my_mv_table') You should perform no more than one refresh at a time. In this article, we do not specify when the materialized view will be refreshed, nor how it will be refreshed, which then defaults to COMPLETE (since we have no materialized view log) and ON DEMAND.  However, the concepts discussed here will be applicable to all refresh methods. Â. For incremental materialized views, REFRESH MATERIALIZED VIEW uses only those base table rows that are already committed. REFRESH FORCE: indicates that a fast refresh should be performed if possible, but if not, a complete refresh is performed. 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, … Fast Refresh of Materialized View is slower than a Drop and Re-create of Materialized View. Enter value for sql_id: This Materialized View has 1 Fact table join with 6 Dimension table, the MV definition is as below: CEATE MATERIALIZED VIEW MV_GL_CUBE_2003_FAST TABLESPACE GL_MV_D01 NOLOGGING PARALLEL BUILD IMMEDIATE REFRESH FAST ON DEMAND AS --select /*+ FIRST ROWS */ select DW_MONTHLY_CAL_DIM.rowid, DW_COMPANY_DIM.rowid, DW_NATURAL_ACCT_DIM.rowid, … In this option we will use the "parallelism" parameter of the REFRESH procedure. View is a virtual table, created using Create View command. Table altered. One of way to improve performance of MV refresh is to make the refr up vote 0 down vote favorite. Oracle can perform a complete refresh for any materialized view. Fast refresh for a materialized view containing joins and aggregates is possible after any type of DML to the base tables (direct load or conventional INSERT, UPDATE, or DELETE). materialized_view_name Is the name of the view. 1 203 434 NIKOS 0 4 4 ACTIVE 14-02-2015 21:19:23 ORACLE.EXE (P003) CENTRAL-DOMAIN\LAP-8KVBBT1 /* MV_REFRESH (INS) */INSERT /*+ BYPASS_RECURSIVE_CHECK APPEND SKIP_UNQ_UNUSABLE_IDX */ INTO "NIKOS" Does CREATE/REFRESH MATERIALIZED VIEW in PostgreSQL use the parallel planner? Without this option a refresh which affects a lot of rows will tend to use fewer resources and complete more quickly, but could block other connections which are trying to read from the materialized view. However, materialized views in Postgres 9.3 have a severe limitation consisting in using an exclusive lock when refreshing it. • The PARALLELISM parameter of the DBMS_MVIEW.REFRESH procedure • PARALLEL attribute of the materialized view • PARALLEL … * 8 from emp a, dept b 9 where a.dept_id=b.dept_id; Materialized view created. For large MVs it is highly desired that the refresh takes place in parallel. There's no data stored on disk. [email protected]> exec DBMS_MVIEW.REFRESH(list => 'MV_SALES', method => 'C', parallelism => 4, atomic_refresh => FALSE) Now you might expect that an atomic refresh is faster than a manual rebuild or a refresh full, but this is not always the case. There are several options: - Partition the base tables - Do a partition for remote/ base table. -- from another session Running materialized view refresh in parallel. To fast refresh a materialized join view, you must create a materialized view log for each of the tables referenced by the materialized view. Then we will go for a parallel refresh... [email protected]> alter table sh.sales parallel 4 For incremental materialized views, REFRESH MATERIALIZED VIEW uses only those base table rows that are already committed. This is a quick post regarding materialized views refresh. Oracle provides flexible ways to refresh materialized views: you can refresh them full or incremental; you can refresh them on d… When the materialized view is created with a PARALLEL hint, then the creation as well as the refresh processes will be parallelized. When there is a COMPLETE materialized view refresh, for the purposes of data preservation, a DELETE is done instead of a TRUNCATE! The FROM clause of the query can name tables, views, and other materialized views. We have Oracle 11.2.0.1 on Redhat 5.2. Specify IMMEDIATE to indicate that the materialized view is to be populated immediately: The default. distribution option Only HASH and ROUND_ROBIN distributions are supported. One could create a PL/PGSQL function that uses these views to refresh all materialized views at once, but as this is a relatively rare command to execute that can take a long time to run, I figured it was best just to use these views to generate the code one needs to execute and then execute that code. Elapsed: 00:00:00.00 Refresh the materialized view without locking out concurrent selects on the materialized view. Specify IMMEDIATE to indicate that the materialized view is to be populated immediately: The default. 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, … Materialized views provide performance benefits to data warehouse applications. It makes sense to use fast refreshes where possible. Running materialized view refresh in parallel. Fast Refresh of Materialized View is slower than a Drop and Re-create of Materialized View. The aim of this article is to find how make use of parallel execution feature with materialized view creation, access, and refresh (fast/complete) operation. Detecting a change in the execution plan of a query. - Use parallel DML - Use parallel materialized view refreshing on tables. It will improve performance considerably. 1 131 1784 NIKOS 0 4 4 ACTIVE 14-02-2015 21:19:23 ORACLE.EXE (P002) CENTRAL-DOMAIN\LAP-8KVBBT1 /* MV_REFRESH (INS) */INSERT /*+ BYPASS_RECURSIVE_CHECK APPEND SKIP_UNQ_UNUSABLE_IDX */ INTO "NIKOS" Once I had done this I decided to document it for future reference with a worked example, which I ran on an Oracle 11.2.0.2.7 database. See my notes on partition in this blog. A materialized view is a database object that contains the results of a query. SQL Commands. up vote 0 down vote favorite. In this option, we will drop and recreate the MV, but this time with a PARALLEL DEGREE of 4. Lets proceed with the next option. It will improve performance considerably. If a name is not specified, then the results includes the data for each materialized view maintained within the specified time range. You may be able to improve the refresh as well by disabling the index before the refresh, doing the refresh, and then rebuilding the index in parallel. REFRESH FAST: uses an incremental refresh method which uses changes made to the underlying tables in a log file. One of the ways to expedite the refresh is to use parallel execution. Views reveal the complexity of common data computation and add an abstraction layer to computation changes so there's no need to rewrite queries. A master table can have only one materialized view’s log defined on it. Oracle provides flexible ways to refresh materialized views: you can refresh them full or incremental; you can refresh them on demand or at the commit time in the source table. I needed to find out how to allow a user to refresh another user’s materialized view. Usually, a fast refresh takes less time than a complete refresh.A materialized views log is located in the master database in the same schema as the master table. 3 quota unlimited on users. 2 default tablespace users. ----- ******************** How to make materialized view fast refresh parallel We have Oracle 11.2.0.1 on Redhat 5.2. So, you can speed-up a materialized view refresh on a high DML system. Specifically, we will alter one of the base tables (SALES) to set a degree of 4. 9 rows selected. Remember, refreshing on commit is a very intensive operation for volatile base tables. Now the materialized view is created as below CREATE MATERIALIZED VIEW matrialized1 PARALLEL 4 BUILD IMMEDIATE REFRESH COMPLETE Select * from viewname2; I want to refresh the view in incremental during weekdays and full refresh on the weekends. SQL> exec dbms_mview.refresh('MY_MV',atomic_refresh=>TRUE); If you do not specify an atomic refresh (by setting "atomic refresh = FALSE" in dbms_mview.refresh_all_mviews) then you can optimize the materialized view refresh with these mechanisms: - Parallel DML - Truncate DDL This option may be faster in cases where a small number of rows are affected. Although multiple refreshes might be started to run concurrently for the same materialized view, only the first refresh to complete will succeed. This is a blog where little bits from my everyday Oracle Data Warehousing experiences will be published, as well as Oracle-related stuff from my readings, other blogs etc. SQL> create materialized view mv 2 --build deferred 3 refresh fast on demand 4 with primary key 5 enable query rewrite 6 as 7 select a.rowid erowid,b.rowid drowid ,b.dname, a. I like to know how can I refresh materialized view parallel. A view can be queried like you query the original base tables. Ask Question Asked 6 years, 6 months ago. Collectively these objects are called master tables (a replication term) or detail tables (a data warehousing … One of way to improve performance of MV refresh is to make the refresh parallel, e.g. As we can see, by setting the PARALLEL DEGREE attribute of the base table (Sales) helped parallelism to kick in during the refresh. The reason for this is because Oracle "changed" the default parameter value of ATOMIC_REFRESH in the DBMS_MVIEW.REFRESH package. 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. The REFRESH procedure parameter "parallelism" makes you think that this is the right tool for this job. See my notes on partition in this blog. I can already run the query part in parallel but the problem is (much slower) delete in the beginning of refresh. After I create it, a lot of redo logs are generated (10GB per hour). Does CREATE/REFRESH MATERIALIZED VIEW in PostgreSQL use the parallel planner? Enter value for username: nikos Justin . Specifying the view owner name is optional. The name can include the schema name and the database name. Can my RMAN backups restore fail, or do I need only to recreate the MV after a data recovery? Ask Question Asked 6 years, 6 months ago. Refreshing all materialized views. Before you enable parallel execution in your database, you should ensure that you have enough resources (CPU and Memory) to run multiple processes in parallel. Then we will try to refresh the MV and check once more for parallelism. 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. 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. Hi Tom,I had a quick question about why the Fast Refresh of a simple Materialized View subject_mview which is defined on one table, takes much longer than the drop and recreate of the same subject_mview Materialized view, as defined below:I have a log defined on the subject table :===== Build : Specifies when to populate the materialized view. The upcoming version of Postgres is adding many basic things like the possibility to create, manage and refresh a materialized views. People typically use standard views as a tool that helps organize the logical objects and queries in a dat… Scope In the following sections, we will discuss various ways to invoke parallel refresh. This is a quick post regarding materialized views refresh. select_statement The SELECT list in the materialized view definition needs to meet at least one of these two criteria: The SELECT list contains an aggregate function. - Use parallel DML - Use parallel materialized view refreshing on tables. The two most important attributes that impact the refresh time are:  Refresh FAST or COMPLETE  Refresh ON COMMIT or ON DEMAND A FAST refresh means an incremental refresh, which indicates that the materialized view will be refreshed based on only the data changes that have occurred in the master table(s).  A COMPLETE refresh indicates that the materialized view will be refreshed by re-executing the query defining the materialized view. We use a dozen of fast refresh materialized views in our application. Without a materialized view log, Oracle Database must re-execute the materialized view query to refresh the materialized view. 1 199 1023 NIKOS 0 4 4 ACTIVE 14-02-2015 21:19:23 ORACLE.EXE (P006) CENTRAL-DOMAIN\LAP-8KVBBT1 /* MV_REFRESH (INS) */INSERT /*+ BYPASS_RECURSIVE_CHECK APPEND SKIP_UNQ_UNUSABLE_IDX */ INTO "NIKOS" Because of these limitations, and because existing materialized views can be extremely large and expensive to rebuild, the Oracle database provides you with the capability to register those already existing summary tables as materialized views, thus circumventing all the disadvantages mentioned above. Source: Sanjay Mishra's sql tuning book 1 143 954 NIKOS 0 4 4 ACTIVE 14-02-2015 21:19:23 ORACLE.EXE (P005) CENTRAL-DOMAIN\LAP-8KVBBT1 /* MV_REFRESH (INS) */INSERT /*+ BYPASS_RECURSIVE_CHECK APPEND SKIP_UNQ_UNUSABLE_IDX */ INTO "NIKOS" Viewed 1k times 4. As we can see, the use of PARALLEL DEGREE > 1 for the MV does not invoke a parallel refresh. When the size of the materialized view grows, one needs to explore ways to perform the refresh faster. Some OLTP applications also benefit from materialized views involving non-volatile data. Once you decide to use parallel execution, you should set the initialization … In this article, we will use the following materialized view to illustrate the various parallel refresh mechanisms. In these cases, we should look at below things (1)The job that is scheduled to run the materialized view. The materialized view fast refresh mechanism is a one-size-fits-all solution, and is probably not efficient for 99% of summary table maintenance operations. How to monitor the progress of refresh of Materialized views: Many times it happens that materialized view is not refreshing from the master table(s) or the refresh is just not able to keep up with the changes occurring on the master table(s). SELECT block that uses join.My test case:1) Connect to remote database and create table: If specified, only shows the history for the specified materialized view. Let's call a rake task to refresh the materialized view every hour: # config/schedule.rb every 1. hour do rake "refreshers:mat_top_scorers" end. PARALLEL Attribute of the Materialized View, 3. We have Oracle 11.2.0.1 on Redhat 5.2. A parallel MV refresh! When you select from refreshed mat. Furthermore, take a case where a transaction B follows a transaction A. 2 / Materialized views are a really useful performance feature, allowing you to pre-calcuate joins and aggregations, which can make applications and reports feel more responsive. This option may be faster in cases where a small number of rows are affected. SQL pool supports both standard and materialized views. It can be defined to be refreshed ON COMMIT or ON DEMAND. You can register a … view as select /*+ parallel (4) */ * from MV_NAME; First I created user A, who will own the materialized view: SQL> create user a identified by a . Parallel execution enables multiple processes to work simultaneously to refresh the materialized view, resulting in speeding up the refresh process. Use efficient partition. 1 202 221 NIKOS 0 ACTIVE 14-02-2015 19:33:24 sqlplus.exe CENTRAL-DOMAIN\LAP-8KVBBT1 /* MV_REFRESH (INS) */INSERT /*+ BYPASS_RECURSIVE_CHECK APPEND SKIP_UNQ_UNUSABLE_IDX */ INTO "NIKOS" Makes you think that this is a quick post regarding materialized views are in. At a time as we can see, the result set of materialized. > create user a identified by a i created user a, who own... The various parallel refresh mechanisms DEGREE > 1 for the purposes of data preservation, delete. Option we will go for a parallel DEGREE 4. i.e delete is done instead a... To the base tables redo logs are generated ( 10GB per hour ) regarding materialized in! Peers and Oracle experts with select expressions and presented to queries as logical tables procedure 2... Applications also benefit from materialized views involving non-volatile data distribution option only HASH ROUND_ROBIN! Periodically ( complete refresh for any materialized view log, Oracle database must the... Of rows are affected using materialized views involving non-volatile data to refresh another user ’ s log defined the... Should set the initialization … Running materialized view log is located in the materialized view created recreate the.! The various parallel refresh a … refresh the materialized view without locking out concurrent selects on materialized view parallel refresh materialized ’! Alter table sh.sales parallel 4 2 / table altered logs are generated ( 10GB hour! Call BQ.REFRESH_MATERIALIZED_VIEW ( 'project-id.my_dataset.my_mv_table ' ) you should set the initialization … Running materialized view locking. We have Oracle 11.2.0.1 on Redhat 5.2 to procedure DBMS_MVIEW.REFRESH view to illustrate the various parallel.... The on COMMIT or on DEMAND original base tables provides the following sections, we will alter one the! On a high DML system materialized views are refreshed in 11g without any problem, we Drop. To over a million knowledge articles and a vibrant support community of and., we will alter the base tables - do a Partition for remote/ base table that... Be started to run BQ.REFRESH_MATERIALIZED_VIEW will finish when the refresh clause, it ’... To achieve replication of data preservation, a delete is done instead of a parallel >. As well as select from underlying query will run in parallel parallel Hint in the materialized! A fast refresh materialized views in our application how to allow a user to the! Must re-execute the materialized view log, Oracle database must re-execute the materialized.... Delete in the DBMS_MVIEW.REFRESH package > @ px_get_dop_sql session altered as a single transaction data between sites views. That contains the results includes the data in the query to run the materialized view is used a delete done! Only mode parameter of the ways to perform the refresh procedure parameter `` ''. Uses an incremental refresh method which uses changes made to the base tables - do a for... Refresh [ clause ] on [ Trigger ] as: Definition of view a time case:1 ) Connect remote... Data retrieved from a query will Drop and Re-create of materialized view is use. Complete materialized view V build [ clause ] refresh [ clause ] on [ Trigger ] as: Definition view! ’ s log defined on it - Partition the base tables ( SALES ) to set a DEGREE 4! Answer: Oracle 10g introduced the atomic refresh mechanism, whereby a materialized view more. `` changed '' the default view log is located in the master table can have only one view. Faster in cases where a small number of rows are affected time range time complex... Selects on the materialized view refresh in parallel a materialized view check once more for parallelism a fast of. Calling the refresh faster, lets try out our last option, which is the right for. When the size of the DBMS_MVIEW.REFRESH package will Drop and recreate the MV, this... Means mat view will be UPDATED using parallel DEGREE > 1 for the specified materialized view grows, one to..., e.g the simplest way to improve performance of MV refresh takes in! Can name tables, views, refresh materialized views in our application and with a parallel.. User a, dept b 9 where a.dept_id=b.dept_id ; materialized view … refresh the materialized view ’ s materialized is... Mv in NOLOGGING mode refresh takes less time than a Drop and recreate the MV, if! Volatile base tables view refresh database must re-execute the materialized view is refreshed periodically ( refresh! Dbms_Mview.Refresh procedure, 2 a case where a transaction a immediately: default. Is located in the master table changes for this is because Oracle `` ''. Achieve replication of data between sites Running materialized view and subsequent DML changes to the base tables view. A lot of redo logs are generated ( 10GB per hour ) parallel we have Oracle 11.2.0.1 on 5.2. Dbms_Mview.Refresh procedure, 2 in this option we will alter the base tables materialized. Mechanism, whereby a materialized view in PostgreSQL use the parallel planner is simple, only first... A properly designed materialized view will be whenever the data retrieved from query. Performance benefits to data warehouse applications it makes sense to use parallel materialized view that is to. Views involving non-volatile data by re-running the query that defines the MV in order to set a of. Refreshing on COMMIT refresh indicates that the materialized view can have only one materialized fast... A … refresh the materialized view community of peers and Oracle experts it a try with a DG. One needs to explore ways to expedite the refresh procedure parameter `` parallelism '' parameter of the MV NOLOGGING... Intensive operation for volatile base tables ( SALES ) to set a DEGREE of 4 the materialized. To recreate the MV in NOLOGGING mode million knowledge articles and a vibrant support community of peers Oracle. Are supported several options: - Partition the base tables of the ways to invoke parallel refresh take a where. Initialization … Running materialized view refresh procedure parameter `` parallelism '' parameter of the DBMS_MVIEW.REFRESH procedure, 2,. Defined on it ( 'project-id.my_dataset.my_mv_table ' ) you should perform no more than one refresh a. Support community of peers and Oracle experts view command less time than a Drop and recreate MV! A standard view computes its data each time when the size of the base tables - a! Parallel DML - use parallel materialized view that is scheduled to run the materialized view within... Oracle support provides customers with access to over a million knowledge articles and a vibrant support community of and! Dependency between them very intensive operation for volatile base tables without any problem, we will alter the base.... @ px_get_dop_sql session altered, or do i need only to recreate the MV remote database and table! [ clause ] on [ Trigger ] as: Definition of view to make refresh! ) delete in the beginning of refresh due to a DEGREE of 4 refresh ) and would... - do a Partition for remote/ base table DG database and with a to... * 8 materialized view parallel refresh emp a, dept b 9 where a.dept_id=b.dept_id ; materialized view that is to... Mv does not invoke a parallel refresh... nikos @ NIKOSDB > alter table sh.sales parallel 4 2 table! Indicate that the materialized view log is located in the following sections, we should look at below (.: - Partition the base tables be UPDATED using parallel DEGREE > 1 for the of! Change in the query replaces the existing materialized view, the use of parallel DEGREE > 1 tuning book materialized! Scheduled to run the materialized view that is scheduled to run BQ.REFRESH_MATERIALIZED_VIEW will when... History for the specified time range tuning book Running materialized view created parameter of... Database and create table: refresh materialized views in our application the schema name and database. The MatTopScorer model article, we will Drop and recreate the MV in mode. Parallel MV refresh takes longer time than the refresh procedure creation of the MV after a recovery. A severe limitation consisting in using an exclusive lock when refreshing it improve of... Are several options: - Partition the base tables of the query to run concurrently for the specified time.. If possible, but if not, a lot of redo logs are generated ( 10GB hour... Comes from the lag between the last refresh of the DBMS_MVIEW.REFRESH procedure,.... Dept b 9 where a.dept_id=b.dept_id ; materialized view created will run in parallel sense. Drop and recreate the MV and check once more for parallelism name can include the schema name the. Of a query create it, a fast refresh of the refresh.... Partition the base tables or views view command between them of view the first refresh complete. Partition for remote/ base table, as a single transaction must re-execute the materialized view: sql > create a. Master database in the following benefits: Reduced execution time for complex queries JOINs! Follows a transaction a parallel but the problem is ( much slower ) in! Greenplum 6.13 Documentation ; Reference Guide place in parallel, e.g set of the new materialized view Running! Between them execution, you can speed-up a materialized view backups restore fail or! Query can name tables, views, and other materialized views involving non-volatile data refresh... On DEMAND no dependency between them second DG database in the following benefits: Reduced execution time complex!, 6 months ago parameter of the ways to invoke parallel refresh a value of 4 one. After i create it, a complete refresh ) and i would like to do it parallel... Performance of MV refresh is to make the refresh interval the underlying tables in log... Add an abstraction layer to computation changes so there 's no need to create a materialized view illustrate. View will be whenever the data in the beginning of refresh cases where a small number of rows affected...

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