Which Snowflake mechanism is used to limit the number of micro-partitions scanned by a query?

The correct answer is C. Query pruning. Query pruning in Snowflake is the mechanism used to limit the number of micro-partitions scanned by a query. By analyzing the filters and conditions applied in a query, Snowflake can skip over micro- partitions that do not contain relevant data, thereby reducing the amount of…

Performance Concepts

Question

Options

ACaching
BCluster depth
CQuery pruning
DRetrieval optimization

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(26 responses)

A
8% (2)
C
88% (23)
D
4% (1)

Explanation

Query pruning in Snowflake is the mechanism used to limit the number of micro-partitions scanned by a query. By analyzing the filters and conditions applied in a query, Snowflake can skip over micro- partitions that do not contain relevant data, thereby reducing the amount of data processed and improving query performance. This technique is particularly effective for large datasets and is a key component of Snowflake's performance optimization features.

Topics

#Micro-partitions#Query pruning#Performance optimization#Data scanning

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