SnowPro Advanced Data Engineer Exam

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Question 15

The following is returned from SYSTEM$CLUSTERING_INFORMATION() for a table named ORDERS with a DATE column named O_ORDERDATE:

What does the total_constant_partition_count value indicate about this table?

The table is clustered very well on O_ORDERDATE, as there are 493 micro-partitions that could not be significantly improved by reclustering.

The table is not clustered well on O_ORDERDATE, as there are 493 micro-partitions where the range of values in that column overlap with every other micro-partition in the table.

The data in O_ORDERDATE does not change very often, as there are 493 micro-partitions containing rows where that column has not been modified since the row was created.

The data in O_ORDERDATE has a very low cardinality, as there are 493 micro-partitions where there is only a single distinct value in that column for all rows in the micro-partition.

Correct Answer: A

The table is clustered very well on O_ORDERDATE, as there are 493 micro-partitions that could not be significantly improved by reclustering. This high number of constant partitions indicates efficient clustering, which helps in pruning micro-partitions during query execution, thus improving performance.

Discussion

stopthisnowOption: A

total_constant_partition_count Total number of micro-partitions for which the value of the specified columns have reached a constant state (i.e. the micro-partitions will not benefit significantly from reclustering). The number of constant micro-partitions in a table has an impact on pruning for queries. The higher the number, the more micro-partitions can be pruned from queries executed on the table, which has a corresponding impact on performance. https://docs.snowflake.com/en/sql-reference/functions/system_clustering_information