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Snowflake

COF-C02 · Question #578

What does a table with a clustering depth of 1 mean in Snowflake?

The correct answer is C. The table has no overlapping micro-partitions. 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…

Performance Concepts

Question

What does a table with a clustering depth of 1 mean in Snowflake?

Options

  • AThe table has only 1 micro-partition.
  • BThe table has 1 overlapping micro-partition.
  • CThe table has no overlapping micro-partitions.
  • DThe table has no micro-partitions.

How the community answered

(57 responses)
  • A
    4% (2)
  • B
    2% (1)
  • C
    89% (51)
  • D
    5% (3)

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.

Topics

#Clustering Depth#Micro-partitions#Data Organization

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