Your analytics team has a Looker Studio dashboard that repeatedly runs a 90-day aggregation query against the prod.analytics_events table. Costs are rising. You want to create a materialized view that pre-aggregates the same results, but you cannot modify the dashboard or its SQL. Which BigQuery feature lets the dashboard benefit from the materialized view without any changes?
Guaranteed up-to-the-second freshness of materialized views
Automatic linkage of Looker Studio reports to materialized views through JDBC driver metadata
Automatic query rewrite by the BigQuery optimizer to substitute an eligible materialized view
Automatic re-partitioning of the base table when a materialized view is created
BigQuery's optimizer performs a smart-tuning step that checks every incoming query for compatibility with existing materialized views. When the dashboard issues its original query on the base table, the optimizer transparently rewrites the execution plan to read from the pre-computed materialized view instead. Because the rewrite happens server-side, the Looker Studio report and its SQL remain untouched while latency and on-demand scan costs are reduced. The other options describe capabilities that materialized views do not provide: they are refreshed on a periodic schedule rather than guaranteeing zero staleness, they do not repartition the base table, and Looker Studio does not automatically switch to them through driver metadata.
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