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Is materialized view updatable?
A materialized view contains a complete or partial copy of a table from a single point in time. Materialized views can be either read-only or updatable: Read-only materialized views provide read-only access to the table copy.
How do I make a materialized view read-only?
- create materialized view mv_name. tablespace mv_data. as select * from base_table; By default materialized view refresh type is complete. This mv should be refreshed manually and using complete mode of refresh.
- create materialized view mv1. tablespace mv_data. build immediate. refresh fast.
- create materialized view mv1.
How do I grant a materialized view privilege?
The privileges required to create a materialized view should be granted directly rather than through a role. To create a materialized view in your own schema: You must have been granted the CREATE MATERIALIZED VIEW system privilege and either the CREATE TABLE or CREATE ANY TABLE system privilege.
What is query rewrite in materialized view?
Overview of Query Rewrite. One of the major benefits of creating and maintaining materialized views is the ability to take advantage of query rewrite, which transforms a SQL statement expressed in terms of tables or views into a statement accessing one or more materialized views that are defined on the detail tables.
What is Oracle Force view?
Force View: We call such a view as view with errors. For example, if a view refers to a non-existent table or an invalid column of an existing table or if the owner of the view does not have the required privileges, then the view can still be created and entered into the data dictionary.
What is mutating in the trigger?
When something mutates, it is changing. Something that is changing is hard to analyze and to quantify. A mutating table error (ORA-04091) occurs when a row-level trigger tries to examine or change a table that is already undergoing change (via an INSERT, UPDATE, or DELETE statement).
Can we create materialized view as auto refresh?
2 Answers. Yes, you can define a Materialized View with ON COMMIT , e.g.: CREATE MATERIALIZED VIEW sales_mv BUILD IMMEDIATE REFRESH FAST ON COMMIT AS SELECT t.
What is materialized view in Snowflake?
A materialized view is a pre-computed data set derived from a query specification (the SELECT in the view definition) and stored for later use. Because the data is pre-computed, querying a materialized view is faster than executing a query against the base table of the view.
How does the materialized view work in Java?
Instead of locking the materialized view up, it instead creates a temporary updated version of it, compares the two versions, then applies INSERTs and DELETEs against the materialized view to apply the difference. This means queries can still use the materialized view while it’s being updated.
When to update materialized view when tables change?
The “on commit” means the materialized view will be refreshed whenever a change is committed in the master table. So your current syntax is going to be extremely inefficient. Every time somebody changes any row in foo, m_foo will be truncated and then every row in foo table will be inserted.
Do you need unique index for materialized view?
A unique index will need to exist on the materialized view though. Instead of locking the materialized view up, it instead creates a temporary updated version of it, compares the two versions, then applies INSERTs and DELETEs against the materialized view to apply the difference.
Is the replace keyword valid for materialized view?
It also appears from the documentation that the REPLACE keyword isn’t valid for a materialized view. Is there any shortcut aside from dropping all dependent objects and rebuilding each one?