Working with Materialized Views
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…
CREATE MATERIALIZED VIEW
Creates a new materialized view in the current/specified schema, based on a query of an existing table, and populates the view with data.
DESCRIBE MATERIALIZED VIEW
…nameSpecifies the identifier for the materialized view to describe. If the identifier contains spaces or special characters, the entire string must be enclosed in double quotes. Identifiers enclosed in double quotes are also…
ALTER MATERIALIZED VIEW
Alters a materialized view in the current/specified schema. Supported actions include: Renaming the materialized view. Suspending and resuming use and maintenance of the materialized view.
SHOW MATERIALIZED VIEWS
CREATE MATERIALIZED VIEW , ALTER MATERIALIZED VIEW , DROP MATERIALIZED VIEW , DESCRIBE MATERIALIZED VIEW Syntax SHOW MATERIALIZED VIEWS [ LIKE '<pattern>' ] [ IN ACCOUNT …
SnowConvert AI - PostgreSQL - CREATE MATERIALIZED VIEW
In SnowConvert AI, Materialized Views are transformed into Snowflake Dynamic Tables. To properly configure Dynamic Tables, two essential parameters must be defined: TARGET_LAG and WAREHOUSE.
SnowConvert AI - Greenplum - CREATE MATERIALIZED VIEW
This syntax is translated to its most equivalent form in Snowflake. The DISTRIBUTED BY clause in Greenplum controls how data is physically distributed across the system’s segments.
DROP MATERIALIZED VIEW
Dropping a materialized view does not update references to that view. For example, if you create a view named “V1” on top of a materialized view, and then you drop the materialized view, the definition of view “V1” will become out…
TRUNCATE MATERIALIZED VIEW
If you have an existing materialized view that you want to truncate, but not drop, the closest alternative is: CREATE OR REPLACE MATERIALIZED VIEW <name> COPY GRANTS ... The CREATE OR REPLACE MATERIALIZED VIEW command executes as a…
SnowConvert AI - Oracle - Create Materialized Views
In SnowConvert AI, Oracle Materialized Views are transformed into Snowflake Dynamic Tables. To properly configure Dynamic Tables, two essential parameters must be defined: TARGET_LAG and WAREHOUSE.
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