3 tables) and frequency of materialized view refresh is 10 sec. 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. Attempts a fast refresh. Also see these related notes on materialized view performance. With this refresh method, only the changes since the last refresh are applied to the materialized view. This materialized is used by GUI. We still want the data in the same format that COUNT(DISTINCT) provided us, we just want to change the implementation. You can FAST REFRESH a materialized view that has an Oracle object such as SDO_Geometry in its select list only if it is based on a single table (ie one entry in a FROM clause). I can do this successfully without a SHAPE column:. Answer: Yes, you need materialized view logs capture all changes to the base table since the last fast refresh. CREATE MATERIALIZED VIEW mv_a AS SELECT ID, GEOM FROM table_a; If you do join two or … A workaround for COUNT(DISTINCT) in a fast refresh materialized view. FORCE? there is delay of 5sec. Then 25s to refresh the materialized view is even worse than 5s to show the 50 first records. The materialized view can't use database links. In order to activate fast refresh, we have to create materialized view logs on the underlying tables. 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. 1. To start, I can successfully create a fast refresh MV without a GEOMETRY column:. For local materialized views, it chooses the refresh method … I want to create an Oracle materialized view with the fast refresh option on a remote table (in an enterprise GDB).. Materialized View Fast refresh containing UNION We would like to be able to use fast refresh on a materialised view which contains a union.This has worked when the union uses the same table. Because the materialized view conforms to the conditions for fast refresh, the database will perform a fast refresh. The name “Fast Refresh” is a bit misleading, because there may be situations where a Fast Refresh is slower than a Complete Refresh. A more elegant and efficient way to refresh materialized views is a Fast Refresh. The materialized view is based on other materialized views. Fast Refresh. I don't think this is a problem as I see this as a solution for real-time reporting and dashboards, rather than part of a distributed environment. If we cannot create a fast refresh mview that includes a COUNT(DISTINCT), then perhaps we can rewrite the mview to get rid of the COUNT(DISTINCT). If that is not possible, it does a complete refresh. This log information allows a fast refresh because the fast refresh only needs to apply the changes since the last fest refresh. Luckily for us, Oracle implemented a "fast refresh" mode for materialized views. The materialized view must be capable of a fast refresh, so all the typical fast refresh restrictions apply here also. However it does not seem to work with a different table name even though the primary key, and columns selected are identical. Complete refresh is working fine as show below: -- Complete refresh EXEC DBMS_MVIEW.REFRESH('SCOTT.EMPLOYEE', 'C', '', FALSE, … FAST_PCT P Refreshes by recomputing the rows in the materialized view affected by changed partitions in the detail tables. Let's create them: The frequency of this refresh can be configured to run on-demand or at regular time intervals. 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