The catch: I've created materialized view logs on a WORKORDER table in an Oracle 19c database. ]materialized_view_name [Physical_Attributes_Clause] [STORAGE Storage_Clause] [REFRESH [FAST | COMPLETE | FORCE] [START WITH date] [NEXTREF date]Changes the storage or automatic refresh characteristics of a materialized view ⦠I will not show you the materialized view concepts, the Oracle Datawarehouse Guide is perfect for that. Collectively these are called master tables (a replication term) or detail tables (a data warehouse term). SQL> create materialized view mv_testtabobj refresh on demand as select a.table_name, a.owner, b.object_id, b.object_type from test_tab a, test_obj b where a.table_name=b.object_name; Materialized view created. It frequently behaves differently from every other schema in the database.) SQL> create index mv_testtabobj_idx1 on mv_testtabobj (OWNER,TABLE_NAME); Index created. In contrary of views, materialized views avoid executing the SQL query for every access by storing the result set of the query. A complete refresh occurs when the Oracle materialized view is initially defined, unless it references a prebuilt table, and a complete refresh may be requested at any time during the life of the Oracle materialized view. Oracle Database can use this materialized view log to perform fast refreshes for all fast-refresh-able materialized views based on the master table.To fast refresh a materialized join view, you must create a materialized view log for each of the tables referenced by the materialized views. 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. Note. SQL> create table t(x number(2) primary key); Table created. Use the CREATE MATERIALIZED VIEW statement to create a materialized view.A materialized view is a database object that contains the results of a query. The FROM clause of the query can name tables, views, and other materialized views. Answer: When you specify a refresh fast of a materialized view, Oracle creates an index to assist in the fast refresh.The using index clause of the create materialized view command let's you specify the storage and initrans values for this index. and there is no synonym created for the materialized view, you would need to specify the fully qualified name when you issued the query as dummy. It is reserved for Oracle. create materialized view log on my_workorder_system.workorder with rowid; The plan is to integrate the WORKORDER records to a separate GIS system (Oracle 18c) via a materialized view. SQL> insert into t values(55); 1 row created. In Oracle 19c, a set of bitmap-based functions was introduced that can be used to create such flexible Materialized Views. Or in other words: As many Materialized Views as required, but as few as possible. You can create materialized views on external database products like DB2 and SQL Server (MSSQL) using Goldengate and Oracle heterogeneous services. If the materialized view is owned by SYS (this is a really bad idea-- you should never, ever create objects in the SYS schema.SYS is special. SQL> create materialized view log on t with PRIMARY KEY, rowid; Materialized view log created. The Oracle Replication:Expert Methods for Robust Data Sharing book has complete details and full step-by-step instructions for creating a materialized view over a database link. CREATE MATERIALIZED VIEW Purpose. Creates a materialized view (also called a snapshot), which is the result of a query run against one or more tables or views. ALTER MATERIALIZED VIEW [schema. SQL> create materialized view mv 2 build immediate 3 refresh fast on demand as 4 select * from t; Materialized view created. SQL> SQL> create materialized view log on emp 2 with rowid, primary key, sequence 3 including new values; Materialized view log created. Although CREATE MATERIALIZED VIEW does not support COUNT, DISTINCT, COUNT(DISTINCT expression), or COUNT_BIG (DISTINCT expression), SELECT queries with these functions can still benefit from materialized views for faster performance as the Synapse SQL optimizer can automatically re-write those aggregations in the user query to match existing materialized views. When a master table is modified, the related materialized view becomes stale and a refresh is necessary to have the materialized view up to date. For one special case, queries with COUNT(DISTINCT), there is a new way to reduce the number of Materialized Views. 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