* Micro-partition pruning is a Snowflake optimization feature that minimizes the amount of data scanned by restricting the query to relevant micro-partitions.
* Query Profile Analysis:
* The "Partitions scanned" and "Partitions total" metrics are both 10, indicating all partitions were scanned, and no pruning occurred.
* If micro-partition pruning had been applied, the number of partitions scanned would be fewer than the total partitions.
Key Observations from the Metrics:
* Bytes Scanned vs. Partitions:
* Since all partitions were scanned, pruning was not applied.
* Percentage Scanned from Cache (25.58%):
* Indicates that some data was retrieved from Snowflake's local cache, which helps reduce scan times. However, this does not relate to pruning.
* Bytes Scanned vs. Bytes Written:
* Even though the bytes scanned (40.33MB) is slightly less than the bytes written (46.91MB), this is not indicative of pruning but rather due to caching or result formatting.
References:
* Snowflake Documentation: Query Profile Overview
* Snowflake Documentation: Micro-Partition Pruning

Efficient pruning in Snowflake is indicated by the number of partitions scanned out of the total available. If a small percentage of partitions are scanned, it suggests that the pruning process is effectively narrowing down the data, which can lead to improved query performance