© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024
A. CarruthersTuning the Snowflake Data Cloudhttps://doi.org/10.1007/979-8-8688-0379-6_7

7. Search Optimization Service

Andrew Carruthers1  
(1)
Birmingham, UK
 

Earlier chapters discussed clustering, materialized views, dynamic tables, and the Query Acceleration Service (QAS). In this chapter I cover the Search Optimization Service (SOS) as an alternative but complementary approach.

At a fundamental level, query optimization resolves micro-partition pruning to reduce the number of micro-partitions accessed for queries. Viewed from a pure micro-partition pruning perspective, without considering summaries and aggregates, SOS adopts a different approach to enable ...

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