![]() Materialized: materialized views in Google BigQuery are pre-computed views that periodically cache the results of a query for increased performance and efficiency. View Name String Provide a name for the view to be created. The special value,, will use the dataset defined in the environment.įor more information, refer to the BigQuery documentation. Dataset Select Select the Google BigQuery dataset to load data into. The special value,, will use the project defined in the environment.įor more information, refer to the BigQuery documentation. Project Select Select the Google BigQuery project. BigQuery Properties Property Setting Description Name String A human-readable name for the component. The query is not resource intensive, so it is not costly to re-run it.More information can be found here.Query results contain results that require significant processing.More information can be found here.If the query to the late-binding view references columns in the underlying object that aren't present, the query will fail. If the user drops underlying objects, queries to the late-binding view will fail. As a result, users can alter or drop the underlying objects without dropping and recreating the view. Late-binding views do not check underlying database objects, such as tables and other views, until the view is queried. Late Binding Select Selecting "Yes", creates a late-binding view. ![]() For more information on using multiple schemas, see this article. The special value,, will use the schema defined in the environment. Redshift Properties Property Setting Description Name String A human-readable name for the component.
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