What does a table with a clustering depth of 1 mean in Snowflake?
A.
The table has only 1 micro-partition.
B.
The table has 1 overlapping micro-partition.
C.
The table has no overlapping micro-partitions.
D.
The table has no micro-partitions.
The Answer Is:
C
This question includes an explanation.
Explanation:
In Snowflake, a table's clustering depth indicates the degree of micro-partition overlap based on the clustering keys defined for the table. A clustering depth of 1 implies that the table has no overlapping micro-partitions. This is an optimal scenario, indicating that the table's data is well-clustered according to the specified clustering keys. Well-clustered data can lead to more efficient query performance, as it reduces the amount of data scanned during query execution and improves the effectiveness of data pruning.
References:
Snowflake Documentation on Clustering: Understanding Clustering Depth
SnowPro-Core PDF/Engine
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