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Is it true that B-tree type indexes are supported by Snowflake's performance optimizing query methods?

  1. True

  2. False

  3. Only for specific queries

  4. Only on virtual warehouses

The correct answer is: False

Snowflake does not support traditional B-tree indexes as found in other database systems. Instead, Snowflake employs a unique architecture that focuses on automatic performance optimization techniques, such as micro-partitioning, clustering, and caching. These features allow Snowflake to efficiently manage and access data without relying on standard indexing methods. The architecture in Snowflake is designed to handle large volumes of data by automatically organizing data into micro-partitions, each containing metadata that helps the system optimize query performance. Users do not need to create or manage indexes like they would in other relational databases, as Snowflake’s optimization methods are built into the service. Understanding this foundational aspect of Snowflake's design clarifies why the statement regarding B-tree indexes is incorrect.