func min <scalar|column> column -> s"MIN({column})"
func max <scalar|column> column -> s"MAX({column})"
func sum <scalar|column> column -> s"SUM({column})"
func avg <scalar|column> column -> s"AVG({column})"
func stddev <scalar|column> column -> s"STDDEV({column})"
func average <scalar|column> column -> s"AVG({column})"
func count <scalar|column> non_null:s"*" -> s"COUNT({non_null})"
# TODO: Possibly make this into `count distinct:true` (or like `distinct:` as an
# abbreviation of that?)
func count_distinct <scalar|column> column -> s"COUNT(DISTINCT {column})"
# Window functions
func lag<column> offset column -> s"LAG({column}, {offset})"
func lead<column> offset column -> s"LEAD({column}, {offset})"
func first<column> offset column -> s"FIRST_VALUE({column}, {offset})"
func last<column> offset column -> s"LAST_VALUE({column}, {offset})"
func rank<column> -> s"RANK()"
func rank_dense<column> -> s"DENSE_RANK()"
func row_number<column> -> s"ROW_NUMBER()"
# Other functions
func round<scalar> n_digits column -> s"ROUND({column}, {n_digits})"
func as<scalar> `noresolve.type` column -> s"CAST({column} AS {type})"