Creating Materialized View in Bigquery
To create a Materialized view in Bigquery select the appropriate gcp project where you want to create your view.
Selection of Project in the Cloud Console
Once the project is selected then write the SQL query in the Bigquery editor.
For Example :
Below is the gfg_sample_usa_view name of the materialized view which is created on the top of weather table under gfg_data dataset which resides inside the w3wiki project.
Example of Materialized View
The flow diagram mentioned below depicts the illustration of a Materialized View in a GCP Project.
Flow Diagram depicting Materialized View
After writing the query in the editor, click on the Run option on top of the editor. Upon successful completion of the query you will get an option in the Query Result panel as depicted below.
Query Result Panel
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.
Materialized View
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