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…
BEHIND_BY column in SHOW MATERIALIZED VIEWS shows 12 to 24 hours
FAQ: Sometimes the "BEHIND_BY" column in the SHOW MATERIALIZED VIEWS can show excessive delay to the tune of 12 - 24 hours or more. It may not be a cause of worry in terms of performance impact if there aren't many changes to the underlying…
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
To see the materialized view’s definition, use SHOW MATERIALIZED VIEWS or GET_DDL. DESC MATERIALIZED VIEW and DESCRIBE TABLE are interchangeable. Either command retrieves the details for the table or view that matches the criteria in the…
Materialized views on shared tables are not refreshed regularly
There are two ways how a materialized view refresh would trigger: Any time when enough changes happen on the source table, refresh jobs are scheduled on dependent MVsWhen a MV is queried, and enough changes have happened on the source…
SHOW MATERIALIZED VIEWS
Optionally filters the command output by object name. The filter uses case - insensitive pattern matching, with support for SQL wildcard characters (% and _).
Apply masking policy to a table fails with error "One or more materialized views exist on the table"
…error: One or more materialized views exist on the table. number of mvs=1, table name=ZZZ CAUSE: This is how the MV and masking policy are designed to work and to prevent unexpected results returned for the materialized view after a…
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.
Views, materialized views, and dynamic tables
Materialized views: Materialized views differ from traditional views by providing the ability to pre - compute the dataset based on materialized view query. Because the result is pre - computed, querying a materialized view is faster than…
Automatic Clustering, Materialized Views, & Automatic Maintenance In Snowflake
This includes updating indexes and statistics, post - load vacuuming procedures, choosing the right distribution keys, dealing with slow partitions due to growing skews, and the need to manually reorder data as new data arrives or gets…
Source