Materialized View in Bigquery
What is the purpose of materialized view?
A materialized view in a database serves the purpose of precomputing and storing the results of a query, providing faster access to data by avoiding the need to execute complex queries repeatedly. It enhances query performance and reduces computational overhead by storing the results for quick retrieval.
What is difference between view and materialized view?
A view in a database is a virtual table based on a query’s result, displaying dynamic data each time it’s queried. In contrast, a materialized view is a physical copy of query results, providing static data until explicitly refreshed, optimizing query performance at the cost of data currency.
What Is Materialized View In Big Query ?
A materialized view is a precomputed snapshot of data in BigQuery, which stores the data physically from the output of a query onto the disk. It automatically refreshes the data from its base table periodically, ensuring the data remains up-to-date with changes to its underlying base tables. They are faster as compared to logical views because of their significant performance.
Materialized View overcomes the need to fetch data from the base tables every time the query is executed. Instead, the precomputed data stored in the view can be quickly accessed, resulting in faster query execution and efficiency.
Base Table : A base table is a Bigquery table where the actual data resides.
Contact Us