Learn about the characteristics of materialized views in Snowflake, including data freshness and performance considerations. Understand the benefits and limitations of using materialized views in your Snowflake queries.
Table of Contents
Question
Which statement accurately describes a characteristic of a materialized view?
A. A materialized view can query only a single table.
B. Data accessed through materialized views can be stale.
C. Materialized view refreshes need to be maintained by the user.
D. Querying a materialized view is slower than executing a query against the base table of the view.
Answer
B. Data accessed through materialized views can be stale.
Explanation
A materialized view is a pre-aggregated and pre-summarized version of a query result that is stored in a physical table. While it can provide faster query performance and improved data consistency, the data in a materialized view can become stale if the underlying base tables are updated frequently. This means that the data in the materialized view may not reflect the latest changes in the base tables, which can lead to inaccurate results. Therefore, it is important to carefully consider the freshness of the data in a materialized view before relying on it for critical applications.
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