What is a key consideration when setting up search optimization service for a table?
A.
Search optimization service works best with a column that has a minimum of 100 K distinct values.
B.
Search optimization service can significantly improve query performance on partitioned external tables.
C.
Search optimization service can help to optimize storage usage by compressing the data into a GZIP format.
D.
The table must be clustered with a key having multiple columns for effective search optimization.
The Answer Is:
A
This question includes an explanation.
Explanation:
A. The Search Optimization Service is designed to accelerate the performance of queries that use filters on large tables. One of the key considerations for its effectiveness is using it with tables where the columns used in the filter conditions have a high number of distinct values, typically in the hundreds of thousands or more. This is because the service creates a map-reduce-like index on the column to speed up queries that use point lookups or range scans on that column. The more unique values there are, the more effective the index is at narrowing down the search space.
[References:Snowflake documentation and best practices on the Search Optimization Service, which would be covered under the SnowPro Advanced: Architect certification materials., , ]
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