ALEXANDRIA, Va., Nov. 18 -- United States Patent no. 12,475,125, issued on Nov. 18, was assigned to Snowflake Inc. (Bozeman, Mont.).
"Partition granular selectivity estimation for predicates" was invented by Sangyong Hwang (Sammamish, Wash.), Adem Khachnaoui (Munich), Li Yan (Redmond, Wash.) and Yongsik Yoon (Sammamish, Wash.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A query engine can use partition-granular level statistics to optimize query performance. A query can reference a table with a plurality of partitions and include a predicate. A partition-granular selectivity estimate for the predicate can be generated based on statistics stored regarding the plurality of partitions of the table. A query pl...