How many cluster keys can reside on a Snowflake table?

A cluster key, also known as a clustering key, is a column or set of columns used to organize data in a table physically. In Snowflake, a cluster key is a crucial component in optimizing query performance and reducing costs. The number of cluster keys a table can have in Snowflake is one. A Snowflake table can have only one cluster key.

The reason behind this limitation is that clustering is based on a single column, and therefore multiple cluster keys may conflict with each other and create inefficiencies in query processing. It is worth noting that Snowflake's clustering architecture is different from traditional database clustering, where multiple columns can be used to define a clustered index.

It is essential to choose the proper column or set of columns to define a cluster key in Snowflake. Choosing the right column ensures that data is organized in a way that optimizes query processing and minimizes the amount of data that needs to be scanned. As a result, query performance is improved, and the cost of running queries is reduced.

In summary, Snowflake tables can have only one cluster key. Nevertheless, choosing the right column or set of columns to define a cluster key is critical to optimizing query performance and minimizing costs.