å®ä¹åç¨æ³. MySQL Count Distinct Another important variation of the MySQL Count () function is the application of the DISTINCT clause into what is known as the MySQL Count Distinct. use 'case_num' instead of case). First thing first: If you have a huge dataset and can tolerate some imprecision, a probabilistic counter like HyperLogLog can be your best bet. Then the outer query aggregates the result set from the sub-query by using GROUP BY on the YR column and puts a count on the CustomerID column. MySQL count () function is used to returns the count of an expression. SQL COUNT() function with DISTINCT clause eliminates the repetitive appearance of the same data. For example, the MySQL statement below returns the number of unique department where at least one employee makes over 7000 salary. You can use the DISTINCT clause with an aggregate function e.g., SUM, AVG, and COUNT, to remove duplicate rows before the aggregate functions are applied to the result set. The COUNT DISTINCT function returns the number of unique values in the column or expression, as the following example shows. å¯ä»¥ä¸åä½¿ç¨ DISTINCT å COUNT å
³é®è¯ï¼æ¥è®¡ç®ééå¤ç»æçæ°ç®ã è¯æ³ SELECT COUNT(DISTINCT column(s)) FROM table 5.5$ bzr log -r 4465 ----- revno: 4465 committer: Neeraj Bisht
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