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SnowPro Core Certification · Snowflake
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Considerations for Choosing Clustering for a Table Whether you want faster response times or lower overall costs, clustering is best for a table that meets all of the following criteria: The table contains a large number of micro-partitions. Typically, this means that the table contains multiple terabytes (TB) of data. The queries can take advantage of clustering. Typically, this means that one or both of the following are true: The queries are selective. In other words, the queries need to read only a small percentage of rows (and thus usually a small percentage of micro-partitions) in the table. The queries sort the data. (For example, the query contains an ORDER BY clause on the table.) https://docs.snowflake.com/en/user-guide/tables-clustering-keys
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