How does the search optimization service help Snowflake users improve query performance?

Question

Options

• AIt scans the micro-partitions based on the joins used in the queries and scans only join columns.
• BII maintains a persistent data structure that keeps track of the values of the table's columns m each
• CIt scans the local disk cache to avoid scans on the tables used in the Query.
• DIt keeps track of running queries and their results and saves those extra scans on the table.

• A
  4% (2)
• B
  94% (46)
• C
  2% (1)

Explanation

The Snowflake Search Optimization Service works by building and maintaining a persistent search access path - a specialized data structure that records which values exist in which micro-partitions for a table's columns. When a selective point lookup query (e.g., WHERE id = 12345) is executed, the service uses this structure to identify exactly which micro-partitions contain matching rows, dramatically reducing the number of partitions that need to be scanned. This is most effective for highly selective equality predicates on high-cardinality columns. It does not cache query results, rely on join patterns, or use local disk cache.

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