Can we create materialized view on view?

Can we create materialized view on view?

Creating a materialized view requires CREATE MATERIALIZED VIEW privilege on the schema, and SELECT privilege on the base table. CREATE [ MATERIALIZED ] VIEW produces an error if a table with the same name already exists in the schema.

How do I make a materialized view read only?

1. 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.
2. create materialized view mv1. tablespace mv_data. build immediate. refresh fast.
3. create materialized view mv1.

What are all the privileges required to create the materialized view as creator when the creator owns the materialized view?

Creator Is Owner CREATE MATERIALIZED VIEW or CREATE ANY MATERIALIZED VIEW . CREATE TABLE or CREATE ANY TABLE . READ or SELECT object privilege on the master and the master’s materialized view log or either READ ANY TABLE or SELECT ANY TABLE system privilege.

What is a snowflake materialized view?

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.

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.

Can you create views in Snowflake?

A view definition can include an ORDER BY clause (e.g. create view v1 as select * from t1 ORDER BY column1 ). However, Snowflake recommends excluding the ORDER BY clause from most view definitions. A view is created referencing a specific column in a source table and the column is subsequently dropped from the table.