Can you query a 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.
Do we have materialized views in SQL Server?
Once created, materialized views are visible within SQL Server Management Studio under the views folder of the Azure Synapse Analytics instance.
Can we index a materialized view?
A materialized view can be partitioned, and you can define a materialized view on a partitioned table. You can also define one or more indexes on the materialized view. Unlike indexes, materialized views can be accessed directly using a SELECT statement.
Can we create index on materialized view in SQL Server?
In SQL Server, a view with a unique clustered index on it (a.k.a. a “materialized view”) does not and cannot be updated by the user, nor is it stored in a separate user-created table–it is always updated by the engine during updates, and is never out of sync.
How do you select data from a materialized view in SQL?
Materialized views in Microsoft SQL Server
- select p. ProductID, sum(t.
- from Production. TransactionHistory t inner join Production.
- select p. ProductID, sum(t.
- from Production. TransactionHistory t inner join Production.
- create unique clustered index TotalCostQuantityByProduct on v_TotalCostQuantityByProduct (ProductID)
Can we create primary key on materialized view?
it’s because your materialized view is based on two tables, if you create your view based on a single table with a primary key, then the primary key is created on you Materialized view. You can still create the index afterwards if you need one: SQL> create table t1(id number); Table created.