A Snowflake user wants to optimize performance for a query that queries only a small number of rows in a table. The rows require significant processing. The data in the table does not change frequently.
What should the user do?
A Snowflake user wants to optimize performance for a query that queries only a small number of rows in a table. The rows require significant processing. The data in the table does not change frequently.
What should the user do?
Creating a materialized view based on the query is the best approach for optimizing performance in this scenario. Materialized views store the results of a query physically, meaning that subsequent queries run significantly faster. Given that the data does not change frequently, the overhead of maintaining the materialized view is minimized. This option ensures that processing time is reduced when querying a small number of rows that require significant processing.
https://docs.snowflake.com/en/user-guide/views-materialized#deciding-when-to-create-a-materialized-view
correct
I request to please start discussion on below questions also 527 536 544 545 546 550 554 556 558 559 561 580 581 582 584 588 594 601 604 610 611 612 613 614
Many answers are correct always check the discussions and when in doubt please check Snowflake documentations
i think its correct ?