Micro-Partitions Reward Predicate Discipline
Use micro-partition pruning as the mental model for faster Snowflake filters.
Fast Snowflake filters describe the slice precisely enough for partitions to be skipped. The mechanism Micro-Partitions Reward Predicate Discipline works because Snowflake separates stored data, compute, access, and metadata into different levers. The practical mechanism is not magic speed; it is choosing the right lever for the job, reading the evidence, and changing one control at a time. Snowflake stores table data in micro-partitions with metadata that can help skip irrelevant chunks. The mechanism is pruning: when predicates align with stored ranges, Snowflake can avoid scanning partitions. LIMIT does not rescue a query that still has to inspect broad data…
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